Summary of AWS blogs for the week of monday Mon Aug 12

In the week of Mon Aug 12 2024 AWS published 69 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Amazon WorkSpaces Personal provides a secure, persistent desktop computing environment in the cloud. Many customers ask if there is a way to configure WorkSpaces to use AWS Identity and Access Management (IAM) Roles to issue temporary credentials. This blog explains how to set up WorkSpaces to utilize AWS IAM Roles Anywhere. By enabling this feature, users can streamline their access to AWS resources directly from their WorkSpaces environment.

Configuring AWS IAM Roles Anywhere

To configure AWS IAM Roles Anywhere, you first need to create an AWS Identity and Access Management (IAM) role with the required policies. Once the role is created, you can use AWS CLI or SDKs to request temporary security credentials. These credentials will allow your WorkSpaces environment to access various AWS services securely. This method eliminates the need to embed long-term credentials directly into WorkSpaces, enhancing security and compliance.

Benefits of Using IAM Roles Anywhere

Using IAM Roles Anywhere with Amazon WorkSpaces enhances security by reducing the risk of credential exposure. It also simplifies credential management, as it leverages AWS’s powerful IAM service to issue and manage temporary credentials. This approach aligns with best practices for cloud security and compliance.

How KeyCore Can Help

KeyCore can assist organizations in configuring IAM Roles Anywhere for Amazon WorkSpaces. Our team of AWS experts can provide hands-on support and guidance to ensure secure and efficient access to AWS resources from WorkSpaces environments. Additionally, KeyCore offers managed services to oversee and maintain these configurations, providing peace of mind and allowing businesses to focus on their core operations.

Automating Foundational NICE DCV Infrastructure

NICE DCV is a high-performance remote display protocol that allows users to visualize remote workloads running on Amazon EC2. This blog covers how to accelerate the deployment of NICE DCV using the AWS Cloud Development Kit (AWS CDK). The provided AWS CDKs simplify the provisioning and management of the DCV infrastructure, enabling quick and efficient setup.

Deploying DCV Connection Gateway with AWS CDK

The AWS CDKs provided in the blog automate the deployment of the DCV Connection Gateway, which acts as an intermediary between client machines and Amazon EC2 instances. Using AWS CDK, you can define your cloud infrastructure as code, making it easier to manage and replicate the setup across different environments. The infrastructure includes the necessary EC2 instances, security groups, and networking configurations to ensure a secure and seamless connection.

Advantages of Automating NICE DCV Deployment

Automating the deployment of NICE DCV infrastructure using AWS CDK offers several benefits. It reduces the manual effort required to set up and maintain the environment, enhances consistency by using reusable code, and allows for rapid scaling and adjustments as needed. This automation is particularly beneficial for organizations that need to support remote work or run high-performance computing workloads.

How KeyCore Can Assist

KeyCore provides expert guidance and support for automating the deployment of NICE DCV infrastructure on AWS. Our team can help design and implement AWS CDK solutions tailored to your specific needs, ensuring a robust and scalable setup. By partnering with KeyCore, organizations can leverage our expertise to optimize their remote visualization capabilities and achieve greater operational efficiency.

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Official Machine Learning Blog of Amazon Web Services

Amazon SageMaker Canvas is revolutionizing data preparation and machine learning (ML) for enterprises by extending its capabilities to support petabyte-scale datasets. This feature enables users to interactively prepare large datasets, create end-to-end data flows, and initiate automated ML (AutoML) experiments on a massive scale, far exceeding the previous 5 GB limit. With over 50 connectors, SageMaker Canvas now makes it easier than ever to harness the full potential of your data.

Petabyte-Scale Data Handling

With the new petabyte-scale support, enterprises can efficiently manage and process large data volumes, which is crucial for deriving actionable insights. This capability eliminates the need to downsize datasets, ensuring that all relevant data is included in analysis and model training. The scalability of Amazon SageMaker Canvas allows businesses to take on more complex and comprehensive ML projects, ultimately driving better decision-making and innovation.

Seamless Integration with Existing Workflows

Amazon SageMaker Canvas integrates seamlessly with existing data workflows through its extensive library of connectors. Users can easily connect to various data sources, prepare datasets, and feed them into ML models without writing any code. This integration capability simplifies the data preparation process and accelerates the journey from raw data to valuable insights.

KeyCore can assist enterprises in leveraging these advancements by providing expert guidance on setting up and optimizing Amazon SageMaker Canvas for their specific needs. Our team can help design and implement efficient data workflows, ensuring that you make the most of this powerful tool.

QnABot for Enhanced Customer Experiences

QnABot on AWS has been upgraded to provide access to Amazon Bedrock foundational models (FMs) and Knowledge Bases, enabling a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. This enhancement allows businesses to create rich, contextual conversational experiences using data from private sources.

Creating Contextual Conversations

By deploying QnABot with Amazon Bedrock, you can give your customers a conversational experience that mimics human interaction. The bot can use your company’s data to provide accurate and contextually relevant responses, enhancing customer satisfaction and engagement. This capability is particularly useful for customer service applications, where providing timely and accurate information is crucial.

KeyCore can help you deploy and customize QnABot to meet your specific business requirements. Our expertise in AWS solutions ensures that you get the most out of QnABot, providing your customers with a superior conversational experience.

Enhanced Data Sync Visibility with Amazon Q Business

Amazon Q Business introduces document-level sync reports to enhance data synchronization visibility. This generative AI-powered assistant helps enterprises unlock the value of their data and knowledge by providing quick answers to questions, generating summaries and content, and completing tasks using information stored across various data sources.

Improved Data Management

With document-level sync reports, users gain better insight into data synchronization processes, allowing for more efficient data management. This feature ensures that data is up-to-date and accurately reflects the latest information, which is critical for informed decision-making and operational efficiency.

KeyCore offers tailored solutions to help you integrate Amazon Q Business into your data management strategy. Our team can assist with setup, customization, and optimization to ensure that your enterprise fully benefits from this powerful tool.

Intelligent Healthcare Forms Analysis with Amazon Bedrock

Amazon Bedrock, featuring the Anthropic Claude 3 large language model (LLM), offers advanced capabilities for healthcare forms analysis. This LLM can generate semi-structured data relevant to healthcare, making it easier to create and manage various forms such as patient intake forms, insurance claims, and medical history questionnaires.

Streamlining Healthcare Processes

The ability to analyze and generate healthcare-related forms using Amazon Bedrock can significantly streamline administrative processes in the healthcare industry. By automating form creation and data extraction, healthcare providers can save time, reduce errors, and improve overall efficiency.

KeyCore can assist healthcare organizations in implementing Amazon Bedrock to enhance their data management processes. Our expertise ensures that your organization leverages the full potential of this technology to improve operational efficiency and patient care.

Combining Splunk and Amazon SageMaker Canvas for AI and ML

For organizations looking to extend beyond Splunk’s built-in AI and ML features, integrating Amazon SageMaker Canvas offers a powerful solution. This no-code ML development service can be used with data collected in Splunk to drive actionable insights and build better ML models.

Enhanced Data Exploration and Modeling

Using SageMaker Canvas with Splunk data allows for faster data exploration and more effective model building. The generative AI capabilities of SageMaker Canvas enable users to quickly identify patterns, trends, and anomalies, leading to more accurate and insightful ML models.

KeyCore can help you integrate Amazon SageMaker Canvas with your Splunk environment, providing expert guidance on data preparation, model training, and deployment. Our services ensure that you maximize the value of your data and achieve your AI and ML goals.

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Announcements, Updates, and Launches

How AWS Powered Prime Day 2024 for Record-Breaking Sales

Amazon’s Prime Day 2024 set new records, showcasing AWS’s robust infrastructure and innovative technologies. Key AWS services, including Amazon DynamoDB, Aurora, and CloudFront, played crucial roles in managing the massive transaction volumes. For instance, DynamoDB handled millions of transactions per second, ensuring seamless customer experiences. Aurora provided reliable database services, maintaining high availability and performance throughout the event. Additionally, CloudFront optimized content delivery, enhancing website load times globally. AWS’s AI chips also contributed by accelerating machine learning workloads, ensuring efficient handling of personalized recommendations and real-time analytics. These technologies collectively supported Amazon’s impressive sales performance.

AWS Weekly Roundup: Innovations and Reflections (August 12, 2024)

This week’s AWS roundup highlights significant advancements and thought leadership. Dr. Swami Sivasubramanian and Dr. Werner Vogels shared the stage at the VivaTech Conference, reminiscing about Amazon’s innovative journey. Key announcements included the introduction of Mithra, an advanced AI model enhancing natural language understanding capabilities. Additionally, the launch of Amazon Titan Image Generator v2 promises to revolutionize image generation tasks with improved accuracy and speed. AWS also introduced GenAI Lofts, collaborative spaces designed to foster innovation and accelerate the development of generative AI technologies. These initiatives reflect AWS’s commitment to continuous innovation and support for the developer community.

How KeyCore Can Help

Leveraging AWS’s cutting-edge technologies can significantly enhance your business operations. KeyCore, as Denmark’s leading AWS consultancy, offers comprehensive services to implement and optimize these solutions. Whether it’s managing high-transaction volumes during peak events or integrating advanced AI models, KeyCore’s expertise ensures seamless and efficient adoption of AWS technologies. Our tailored professional and managed services can help businesses maximize their AWS investments, driving innovation and achieving record-breaking performance. Visit keycore.dk to learn more.

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Containers

In November 2021, AWS announced the launch of v0.5 of Karpenter, an open-source Kubernetes cluster auto-scaling project. Originally designed as a flexible, dynamic, and high-performance alternative to the Kubernetes Cluster Autoscaler, Karpenter has since evolved into a comprehensive, Kubernetes-native node lifecycle manager.

Karpenter 1.0 introduces significant enhancements and optimizations, enabling users to manage Kubernetes clusters more efficiently. Its features include intelligent provisioning, automatic scaling, and the ability to optimize resource utilization. These capabilities ensure that applications run smoothly and cost-effectively, making it a robust tool for modern cloud-native environments.

With Karpenter, users can achieve better performance and scalability in their Kubernetes clusters. This makes it an essential tool for organizations looking to optimize their cloud infrastructure and ensure seamless operations.

Yleisradio Enhances Digital Services with Amazon EKS and IPv6 Adoption

Yleisradio, a Finnish broadcasting company, runs most of its online and mobile services on AWS, serving approximately 2.1 million Finns daily. To manage their vast infrastructure, Yleisradio utilizes IP Address Management (IPAM) systems, ensuring efficient routing between AWS and on-premises environments.

By adopting Amazon Elastic Kubernetes Service (Amazon EKS) and IPv6, Yleisradio has significantly improved the scalability and performance of its digital services. IPv6 adoption allows for a larger address space, reducing the complexity of IP address management and enhancing network efficiency.

This transition has enabled Yleisradio to deliver a better user experience, accommodating the growing demands of their digital audience. The move to Amazon EKS and IPv6 demonstrates their commitment to leveraging advanced cloud technologies to stay ahead in the broadcasting industry.

Modernize Your .NET Application Using AWS App2Container and AWS Toolkit for .NET

As cloud computing becomes more prevalent, many organizations are migrating their .NET applications from on-premises data centers to AWS. This transition can be complex, but AWS App2Container (A2C) simplifies the process. A2C is a command-line tool that assists users in containerizing and migrating their .NET applications to AWS.

By using A2C, businesses can lift and shift their on-premises .NET workloads to the cloud with minimal effort. The tool automates the containerization process, making it easier to modernize applications and take advantage of AWS’s scalability and flexibility.

The AWS Toolkit for .NET further streamlines this process by providing integrated development tools within Visual Studio. This combination ensures a smooth transition to the cloud, enabling organizations to modernize their .NET applications efficiently and cost-effectively.

How Getir Optimized Their Amazon EKS Compute Using Karpenter

Getir, a pioneer in ultrafast grocery delivery, uses Amazon EKS to host its applications on AWS. Founded in 2015, Getir has revolutionized last-mile delivery with its grocery-in-minutes model. To maintain this high level of service, Getir needed to optimize its compute resources on Amazon EKS.

By implementing Karpenter, Getir has successfully optimized its EKS compute. Karpenter’s intelligent provisioning and automatic scaling capabilities have allowed Getir to manage their Kubernetes clusters more efficiently. This optimization ensures that their applications run smoothly, even during peak demand periods.

Karpenter’s features have enabled Getir to achieve better performance and cost efficiency, supporting their rapid growth and high service standards. This case study highlights the benefits of using advanced tools like Karpenter to manage and optimize cloud infrastructure in dynamic, high-demand environments.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, provides both professional and managed services to help organizations leverage AWS technologies effectively. With expertise in Kubernetes, EKS, Karpenter, and cloud migration tools like AWS App2Container, KeyCore can assist businesses in optimizing their cloud infrastructure and modernizing their applications.

Whether it’s implementing Karpenter for better Kubernetes cluster management or migrating .NET applications to AWS, KeyCore offers tailored solutions to meet your specific needs. Our team of experts ensures seamless transitions and optimal performance, enabling you to focus on your core business while we handle the technical complexities.

Visit KeyCore to learn more about how we can support your cloud journey and help you achieve your business objectives with AWS.

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Official Database Blog of Amazon Web Services

In the world of generative AI, speed and cost-efficiency are critical. This article explains how to enhance both by using a persistent semantic cache in Amazon MemoryDB. The approach leverages Knowledge Bases for Amazon Bedrock, which integrates seamlessly with MemoryDB for optimal performance.

Improving Speed and Reducing Costs

Generative AI workloads often require high-speed data access and efficient caching solutions. Amazon MemoryDB provides the fastest vector search performance with high recall rates, making it an ideal choice for caching in this context. On the other hand, Knowledge Bases for Amazon Bedrock serves as a robust vector database that maintains RAG (Retrieval-Augmented Generation) functionality without additional coding.

Building a Chatbot Application

The article walks through the steps to create a chatbot application utilizing the persistent semantic cache. By integrating these technologies, developers can achieve faster query responses and reduce operational costs, thereby enhancing user experience.

Amazon Neptune Analytics now supports openCypher queries over RDF graphs, simplifying the process of building knowledge graphs. This addition helps developers who face the challenge of choosing between RDF graphs and labeled property graphs (LPGs) at the start of their projects.

openCypher and RDF Graphs

Before this update, developers had to work with different query languages depending on the type of graph they were using. The support for openCypher queries over RDF graphs in Amazon Neptune bridges this gap, allowing for more versatility and quicker deployment of knowledge graphs.

Business Value

This advancement accelerates the development process and reduces the learning curve for developers, enabling businesses to deploy more effective graph-based applications in less time.

For those looking to monitor Amazon DynamoDB operation counts, Amazon CloudWatch offers a robust solution. This article demonstrates how to retrieve metrics about successful requests for each operation type, such as GetItem or DeleteItem calls.

Monitoring DynamoDB with CloudWatch

Amazon DynamoDB continuously sends metrics to Amazon CloudWatch, which helps in understanding usage patterns and costs. By following the steps outlined in the article, users can efficiently monitor these metrics and make data-driven decisions.

Deploying blockchain nodes swiftly is made easier with the AWS Blockchain Node Runners blueprint. This guide shows how to deploy Stacks blockchain nodes on AWS efficiently.

Deploying Stacks Blockchain Nodes

The AWS Blockchain Node Runners blueprint simplifies the deployment process, enabling quick and reliable setup of Stacks blockchain nodes. This ease of deployment allows businesses to focus on developing blockchain applications rather than infrastructure.

Streaming change data in a multicloud environment poses unique challenges, especially for advanced analytics. This article discusses how to use AWS DMS, Amazon MSK, and Amazon Managed Service for Apache Flink to stream data changes from transactional databases across different cloud providers to a streaming data solution on AWS.

Components and Architecture

The article outlines the architecture and considerations for setting up this multicloud streaming solution. By leveraging AWS services, businesses can ensure near real-time data availability, which is crucial for advanced analytics.

Business Implications

Implementing this architecture allows businesses to unify their data streams, providing a comprehensive view of their operations across different cloud platforms. This unified approach enhances the ability to perform real-time analytics, offering a significant competitive advantage.

How KeyCore Can Help: KeyCore specializes in implementing advanced AWS solutions tailored to specific business needs. Whether it’s optimizing generative AI workloads, deploying knowledge graphs, monitoring DynamoDB operations, or setting up blockchain nodes, KeyCore provides comprehensive support. Their expertise ensures that businesses maximize the benefits of AWS services, driving efficiency and innovation.

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AWS Cloud Financial Management

Automating resource tagging is a crucial aspect of efficient AWS Cloud Financial Management. The blog on “Automating tagging for resources created by AWS Service Catalog” provides valuable insights into how AWS users can automatically propagate account-level tags to resources generated by AWS Service Catalog. This process ensures consistency in resource management and cost allocation across multiple AWS accounts.

Understanding AWS Service Catalog

AWS Service Catalog allows the sharing of portfolios across AWS accounts, simplifying resource management. It includes a TagOption library that helps manage tags for provisioned AWS resources. However, resource tagging varies by account and is not inherently part of the portfolio product configurations. This discrepancy can lead to inconsistencies and additional manual work for users.

The Solution

The blog introduces a solution designed to minimize user effort while adopting cloud best practices, such as infrastructure automation. By automating the tagging process, users can ensure that account-level tags are automatically applied to resources created through AWS Service Catalog. This approach not only streamlines operations but also improves the accuracy of cost tracking and resource allocation.

Business Value

Automating resource tagging has several business benefits. It reduces the manual effort required to manage tags, leading to operational efficiency. Consistent tagging helps in accurate cost allocation and monitoring, enabling better financial management. By adhering to cloud best practices, organizations can optimize their cloud infrastructure and drive cost savings.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, can assist organizations in implementing automated tagging solutions tailored to their specific needs. Leveraging our expertise in AWS Service Catalog and infrastructure automation, we can design and deploy a tagging strategy that ensures consistency and efficiency across your AWS accounts. Our services include both professional and managed services, offering comprehensive support for your AWS cloud financial management needs.

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AWS for Games Blog

Excitement is building as AWS prepares for Gamescom and Devcom 2024. Developers can stay informed about the latest AWS developments for these events by visiting the AWS for Games Devcom webpage. By signing up, developers can meet with AWS industry experts and learn how AWS is transforming game workloads and experiences. This is a great opportunity to dive deep into AWS’s new tools and methodologies that can revolutionize game development.

Harmony Games’ Custom Game Backend with AWS CDK

Choosing the right game backend is crucial for any game studio. The decision impacts the game’s performance, development timeline, and budget. Harmony Games, a mobile game studio, decided to use the AWS Cloud Development Kit (AWS CDK) to create a fully custom game backend. This choice was driven by several factors, including the type of game, launch timeline, and available engineering resources.

The Importance of Selecting a Proper Backend

The backend solution is vital for game studios. It determines how well the game can scale, how quickly new features can be added, and how effectively the game handles player data. Harmony Games needed a solution that would provide flexibility, scalability, and cost-effectiveness. AWS CDK offered them all these benefits and more.

Benefits of AWS CDK

AWS CDK allows developers to define cloud infrastructure using familiar programming languages. This approach reduces development time and errors, making it easier to manage and update the infrastructure. For Harmony Games, using AWS CDK meant they could leverage AWS’s robust cloud services to build a backend that could easily handle the complexities of modern mobile games.

KeyCore Can Help

KeyCore specializes in helping game developers harness the power of AWS. Whether it’s attending industry events like Gamescom and Devcom or building a custom game backend with AWS CDK, KeyCore provides the expertise needed to succeed. Our team can guide developers through every step of the process, ensuring that their game infrastructure is optimized for performance, scalability, and cost-efficiency. Visit KeyCore to learn more about how we can assist with your next gaming project.

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AWS Training and Certification Blog

To increase the number of AWS Certified employees in an organization, AWS partners have consistently demonstrated their mastery of AWS best practices, architectures, and services. Certified employees can recommend highly suitable solutions that align with customer requirements and business goals. Here are five best practices for encouraging certification pursuits and retaining top talent, along with real-world examples from AWS Partners who have successfully implemented these methods.

1. Foster a Learning Culture

Creating an environment that values continuous learning is crucial. Organizations can offer resources and set aside time for study. AWS Partner, CloudFactory, provides study sessions and supports their employees in achieving certifications by providing access to AWS training materials and internal mentorship programs.

2. Provide Financial Incentives

Offering financial incentives, such as covering exam fees or providing bonuses for achieving certifications, can motivate employees. For example, CloudReach offers reimbursements for exam costs and provides a certification bonus to encourage their staff to pursue AWS certifications.

3. Recognize and Celebrate Achievements

Recognizing and celebrating employees’ certification achievements can boost morale and encourage others. Many AWS Partners host internal recognition events or highlight certified employees in company newsletters. This recognition reinforces the value the organization places on AWS certifications.

4. Align Certifications with Career Growth

Linking AWS certifications to career progression opportunities can drive motivation. Organizations can establish clear career paths where AWS certifications are critical milestones. By doing so, employees understand how achieving certifications can directly impact their career growth.

5. Utilize Mentorship Programs

Mentorship programs can help employees navigate the certification process. Experienced staff can offer guidance, share study strategies, and provide moral support. This collaborative environment can help demystify the certification journey and encourage a culture of mutual growth.

Registration is now open for the beta exams of the AWS Certified AI Practitioner and the AWS Certified Machine Learning Engineer – Associate. These new certifications are designed to help professionals future-proof their careers in the rapidly evolving fields of AI and ML. Experts Das and Taylor provide insights into these certifications and their benefits.

Guidance on AI and ML Certifications

The AWS Certified AI Practitioner is ideal for individuals looking to demonstrate their knowledge of AI and ML concepts without deep technical expertise. It covers the foundational principles of AI and ML and their applications in AWS. In contrast, the AWS Certified Machine Learning Engineer – Associate is targeted at those with experience in building, training, and deploying machine learning models on AWS. This certification validates a more advanced skill set, including the ability to design scalable, cost-optimized ML solutions.

Future-Proofing Your Career

As AI and ML continue to drive innovation across industries, these certifications can significantly enhance career prospects. They demonstrate a commitment to staying current with technological advancements and validate critical skills sought by employers. Professionals holding these certifications are well-positioned to contribute to transformative projects and take on leadership roles in AI and ML initiatives.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, can support your organization in fostering a culture of continuous learning and certification. KeyCore offers tailored training programs, mentorship, and strategic guidance to help employees achieve AWS certifications. Whether you’re looking to increase the number of AWS Certified employees or navigate the new AI and ML certification paths, KeyCore has the expertise to help your organization succeed. Learn more about our professional and managed services at KeyCore.

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Microsoft Workloads on AWS

Collecting platform and billing details for Microsoft licensing on AWS is crucial for managing costs and ensuring compliance. This blog post outlines the steps to manually retrieve billing information for Microsoft workloads running on AWS. This helps in reviewing existing Microsoft licensing and performing long-term cost modeling.

Introduction

Running Microsoft Windows workloads on AWS requires close monitoring of billing details to manage licensing costs effectively. AWS provides various tools and services to help with this task. Understanding these tools can simplify the process of retrieving and analyzing billing information.

Retrieving Billing Information

To retrieve billing information manually, users need to access the AWS Cost Explorer or the AWS Billing and Cost Management Dashboard. These tools offer detailed insights into usage and costs associated with Microsoft workloads. Users can filter data to focus specifically on Microsoft licensing costs.

Steps to Collect Billing Details

  • Log in to the AWS Management Console.
  • Navigate to the Billing and Cost Management Dashboard.
  • Select the Cost Explorer to start analyzing costs.
  • Apply filters to isolate Microsoft-related charges.
  • Download the detailed billing report for offline analysis.

Long-term Cost Modeling and Analysis

Once the billing data is collected, it’s important to analyze it for long-term cost modeling. This involves understanding the trends in usage and costs over time. Users can use tools like AWS Cost Explorer to create forecasts and identify potential savings.

KeyCore’s Expertise in Microsoft Workloads on AWS

KeyCore, as a leading AWS consultancy, offers expert services to help businesses optimize their Microsoft workloads on AWS. By leveraging our deep knowledge and experience, we assist clients in efficiently managing licensing costs and ensuring compliance. Our professional and managed services include setting up automated billing reports, cost optimization strategies, and long-term cost modeling.

For more detailed insights on managing Microsoft licensing costs on AWS, visit KeyCore and explore our tailored solutions.

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Official Big Data Blog of Amazon Web Services

Unlocking the true value of data often gets impeded by siloed information. Traditional data management, wherein each business unit ingests raw data in separate data lakes or warehouses, hinders visibility and cross-functional analysis. A data mesh framework empowers business units with data ownership and facilitates seamless sharing. However, integrating datasets from different business units can present several challenges. Amazon Redshift Spectrum and Amazon DataZone offer a solution to this problem by enabling seamless integration of data lakes and data warehouses.

Integrating Data Lakes and Data Warehouses

Amazon Redshift Spectrum allows businesses to run queries on data stored in Amazon S3, using the same SQL syntax of Amazon Redshift. This eliminates the need to move data into the warehouse. Amazon DataZone further simplifies this process by providing a centralized inventory for data assets, enhancing data visibility across different business units. This results in better cross-functional analysis and decision-making.

Improving Data Quality in Amazon Redshift

Capturing data quality metrics for data assets produced in Amazon Redshift is crucial. With Amazon DataZone, data owners can directly import the technical metadata of a Redshift database table and views into the DataZone project’s inventory. This bypasses the AWS Glue Data Catalog, creating a gap in data quality integration. To address this, integrating data quality scores and KPI metrics into Amazon DataZone can ensure comprehensive data quality management.

Building a Serverless Data Quality Pipeline

Poor data quality can lead to pipeline failures, incorrect reporting, and poor business decisions. Implementing data quality checks using Deequ on AWS Lambda can prevent such issues. Deequ is a library built on top of Apache Spark that enables data quality verification. AWS Lambda can help in building a serverless data quality pipeline, ensuring that only high-quality data is processed and analyzed.

Amazon DataZone has introduced new data governance capabilities, including domain units and authorization policies. These features enable businesses to create organization structures at the business unit or team level and manage policies according to specific needs. This is particularly useful in industries like healthcare and life sciences, where data governance is critical.

Domain Units and Authorization Policies

Domain units allow businesses to structure their data governance based on specific units or teams within the organization. Authorization policies then manage access and permissions, ensuring that only authorized personnel can access sensitive data. This enhances overall data security and compliance.

Streamlining SFTP Data Processing with AWS Glue

Processing data from Secure File Transfer Protocol (SFTP) servers efficiently is crucial for timely data analytics and insights. The SFTP Connector for AWS Glue, available in the AWS Marketplace, allows businesses to streamline this process by moving data from SFTP servers to Amazon S3. This enables seamless data processing and integration into the broader data analytics workflow.

Amazon Redshift Advisor offers recommendations for optimizing Redshift cluster performance and reducing operating costs. Automating these recommendations through email alerts can significantly improve efficiency.

Using the ListRecommendations API

This API allows businesses to set up email notifications for Redshift Advisor recommendations. These recommendations include identifying tables that need to be vacuumed or finding columns suitable for compression. Automating these alerts ensures that the Redshift cluster remains optimized without manual intervention.

Enhancing Application Resilience with Managed Service for Apache Flink

Improving the resilience of Apache Flink applications can be achieved using the system-rollback feature in Managed Service for Apache Flink. This feature provides high availability and enables developers to monitor application operations more effectively. By using the provided APIs, businesses can ensure that their Flink applications remain resilient and reliable.

How KeyCore Can Help

KeyCore offers expert guidance and solutions for integrating data lakes and data warehouses using Amazon Redshift Spectrum and Amazon DataZone. Our team can assist in implementing data quality checks, building serverless data quality pipelines, and automating Redshift Advisor recommendations. Additionally, we provide support for enhancing application resilience with Managed Service for Apache Flink. Leverage our expertise to unlock the true value of your data and optimize your AWS infrastructure.

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Networking & Content Delivery

At AWS, security is the top priority. In 2018, AWS introduced built-in authentication support for Application Load Balancers (ALBs), enhancing the security of user authentication for applications. This feature allows developers to offload authentication responsibility, ensuring secure access to applications. Here are some best practices for using ALB authentication:

Implement Secure Authentication Methods

Utilize industry-standard authentication protocols such as OAuth 2.0 and OpenID Connect. These protocols provide robust security mechanisms to authenticate users and protect sensitive data. Integrate ALB authentication with AWS Identity and Access Management (IAM) and third-party identity providers for seamless user management.

Configure SSL/TLS

Ensure all traffic between clients and ALBs is encrypted using SSL/TLS. Use AWS Certificate Manager (ACM) to manage SSL/TLS certificates efficiently. Regularly update certificates and use strong encryption algorithms to maintain a high level of security.

Monitor and Log Authentication Attempts

Enable logging and monitoring for authentication attempts through Amazon CloudWatch and AWS CloudTrail. Track failed authentication attempts and analyze logs to detect potential security threats. Implement automated alerting to respond to suspicious activities promptly.

KeyCore Expertise

KeyCore provides expert guidance on implementing and managing ALB authentication in your AWS environment. We help businesses configure secure authentication methods, manage SSL/TLS certificates, and monitor authentication activities to enhance security posture.

Visualize Enterprise IP Address Management and Planning with CIDR Map

As organizations expand their cloud footprint, IP address management becomes increasingly complex. A visualized map of your IP resources across the enterprise can simplify network management tasks such as expansions, mergers, acquisitions, and service discontinuations. CIDR maps provide a clear visualization of IP allocations, making it easier to plan and manage IP address spaces.

Efficient IP Address Allocation

Using CIDR maps, organizations can efficiently allocate IP address spaces, avoiding overlaps and conflicts. Visual representation of IP allocations helps in identifying unused IP ranges, optimizing the utilization of available IP resources.

Network Planning and Troubleshooting

CIDR maps facilitate network planning by providing a comprehensive view of the IP address landscape. They aid in troubleshooting network issues by allowing network administrators to quickly pinpoint problematic IP ranges and take corrective actions.

KeyCore Expertise

KeyCore helps businesses implement CIDR maps for effective IP address management and planning. Our experts assist in creating detailed visualizations of IP allocations and provide ongoing support for network management tasks.

Networking Best Practices for Generative AI on AWS

The evolution of generative artificial intelligence (generative AI) demands more powerful computing resources and the ability to manage large datasets. Generative AI datasets are typically measured in terabytes (TB), significantly larger than traditional machine learning (ML) datasets. Here are some networking best practices for generative AI on AWS:

Optimize Data Transfer

Use AWS Direct Connect or AWS Transit Gateway to optimize data transfer between on-premises environments and AWS. These services provide high-bandwidth, low-latency connections, ensuring efficient data movement for training generative AI models.

Leverage Distributed Training

Distribute the training of generative AI models across multiple instances using Amazon EC2 and Amazon SageMaker. Leverage AWS ParallelCluster and AWS Batch for scalable and efficient distributed training solutions.

Use Cloud Storage Solutions

Store large datasets in Amazon S3 and use Amazon S3 Transfer Acceleration for faster data transfers. Utilize Amazon FSx for Lustre for high-performance file systems to support intensive data processing tasks.

KeyCore Expertise

KeyCore provides comprehensive support for implementing generative AI solutions on AWS. We assist businesses in optimizing data transfer, leveraging distributed training, and using cloud storage solutions to manage large datasets efficiently.

Monitoring Surveillance Camera Feeds on AWS with Multicast Technology

Video surveillance technology is rapidly growing, especially in public sectors such as airports, train stations, and schools. Monitoring surveillance camera feeds on AWS using multicast technology offers several advantages:

Efficient Data Transmission

Multicast technology enables efficient data transmission from multiple cameras to monitoring centers. It reduces bandwidth consumption by sending a single stream to multiple recipients, ensuring real-time surveillance with minimal latency.

Scalable Monitoring Solutions

Leverage AWS services such as Amazon Kinesis and Amazon CloudWatch for scalable monitoring solutions. These services allow for real-time data processing and analysis, supporting large-scale surveillance operations.

Secure Data Management

Use AWS security features such as encryption and IAM to secure surveillance data. Ensure that only authorized personnel have access to surveillance feeds and implement strict access controls to protect sensitive information.

KeyCore Expertise

KeyCore specializes in implementing and managing surveillance solutions on AWS. We help businesses leverage multicast technology for efficient data transmission, scalable monitoring, and secure data management. Our experts provide ongoing support to ensure the reliability and security of surveillance systems.

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AWS for M&E Blog

In the ever-evolving media and entertainment (M&E) landscape, leveraging AWS services can significantly enhance content delivery and viewer experience. In this collection of articles, various AWS solutions are explored to address common challenges in the M&E industry.

Translate Live Sports Automatically to Reach International Fans with AWS Media Services and SyncWords

Live sports broadcasting faces the challenge of reaching a global audience with varied language preferences. AWS teamed up with SyncWords to develop a solution featuring automatic captions and audio dubbing for live events. By integrating AWS Media Services with SyncWords’ technology, broadcasters can now automate the translation of live sports content, making it accessible to international fans.

This solution uses real-time speech-to-text services and machine translation to generate multilingual captions and dubbed audio tracks. The process is seamless and ensures that viewers around the world can enjoy sports events in their native language. This automated approach reduces the need for manual translation, saving time and resources while expanding audience reach.

Monitor HLS and DASH Live Streams Using a Canary Monitor

Maintaining high-quality live streams is critical for a successful viewing experience. Using a canary monitor, AWS provides automated monitoring of HTTP Live Streaming (HLS) and Dynamic Adaptive Streaming over HTTP (DASH) streams. This technique involves deploying a ‘canary’—a synthetic monitoring tool that simulates user behavior to detect issues before they affect actual viewers.

The canary monitor checks for various metrics, including stream health, origin server status, and adherence to streaming protocols. It helps identify problems such as manifest non-compliance, staleness, and incorrect ad-break decorations. By proactively addressing these issues, content providers can ensure a smooth and uninterrupted streaming experience for their audience.

Enhance Video Efficiency with the Bandwidth Reduction Filter in AWS Elemental MediaConvert

In the digital age, optimizing video delivery without compromising quality is crucial. AWS Elemental MediaConvert introduces a bandwidth reduction filter (BRF) to enhance video efficiency. This cloud-based transcoding service reduces bandwidth consumption while maintaining high visual fidelity.

The BRF analyzes video content and applies compression techniques to decrease file sizes. This results in faster delivery and reduced costs, especially beneficial for high-volume streaming services. By leveraging AWS Elemental MediaConvert’s BRF, content creators can achieve efficient media distribution without sacrificing viewing quality.

AI-powered FAST Channel Assembly with ThinkAnalytics on AWS

ThinkAnalytics, an AWS ISV Partner, specializes in AI-powered content discovery and targeted advertising. Their tools enhance viewer engagement by providing personalized content recommendations and FAST (Free Ad-Supported Streaming TV) channel assembly. Utilizing AWS services, ThinkAnalytics enables broadcasters and streaming services to create and schedule AI-driven channels efficiently.

This solution leverages machine learning to analyze viewer preferences and generate tailored content lineups. The result is a more engaging and personalized viewing experience, which can drive higher viewer retention and increase ad revenue. Major broadcasters globally rely on ThinkAnalytics’ AI-powered tools to enhance their content offerings.

How KeyCore Can Help

KeyCore is Denmark’s leading AWS consultancy, providing both professional and managed services. Our expertise in AWS Media Services can help broadcasters and content providers implement these advanced solutions seamlessly. Whether it’s automating translations, monitoring live streams, optimizing video delivery, or leveraging AI for content recommendations, KeyCore ensures that clients maximize their AWS investments and achieve superior results.

To learn more about how KeyCore can assist with AWS Media Services and other AWS solutions, visit our website at www.keycore.dk.

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AWS Storage Blog

Business-to-business file exchanges are crucial in highly regulated industries. As organizations grow, managing separate user credentials across various platforms, including file transfer services, becomes complex and time-consuming. To address this, AWS Transfer Family allows for simplified Active Directory (AD) authentication through a custom identity provider (IdP).

Challenges with Traditional File Transfer Authentication

Managing multiple user credentials for different services can be a daunting task. Organizations often need to create separate identities, which increases administrative overhead and the risk of errors. This complexity can particularly affect Managed File Transfer (MFT) environments, which require secure and reliable user authentication mechanisms.

Introducing Custom Identity Provider for AWS Transfer Family

To streamline authentication, AWS Transfer Family supports the integration of custom identity providers. This feature enables organizations to leverage existing AD for user authentication, ensuring a seamless and secure file transfer experience. By consolidating user credentials, organizations can reduce administrative burdens and improve compliance with regulatory requirements.

How It Works

A custom identity provider for AWS Transfer Family can be created using AWS Lambda and AWS Secrets Manager. Lambda functions handle user authentication by validating credentials against the AD, while Secrets Manager securely stores sensitive information. This integration simplifies the authentication process, enhances security, and provides a scalable solution for MFT environments.

Benefits of Simplified AD Authentication

Integrating AD with AWS Transfer Family offers several benefits, including:

  • Reduced Complexity: Managing user credentials in a single directory reduces administrative overhead.
  • Enhanced Security: Centralized authentication ensures compliance with security policies and regulatory requirements.
  • Scalability: AWS services provide a scalable solution to meet growing business needs.

How KeyCore Can Help

KeyCore, the leading Danish AWS Consultancy, can assist in implementing custom identity providers for AWS Transfer Family. With extensive experience in AWS services, KeyCore ensures seamless integration and optimized performance. Our professional and managed services help organizations enhance their file transfer capabilities while maintaining security and compliance.

To learn more about how KeyCore can help streamline your file transfer authentication, visit KeyCore’s website.

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AWS Developer Tools Blog

In February 2024, the AWS SDK for .NET team announced significant updates to the minimum .NET target versions that the AWS SDK for .NET will support. The key changes involved ending support for .NET Framework 3.5 and setting the minimum .NET Framework to 4.6.2.

In June, the team revised the blog post to confirm these adjustments and emphasize the updated support policy. This shift ensures the SDK aligns with modern development practices and provides better performance, security, and new feature capabilities.

Key Changes for Developers

By discontinuing support for .NET Framework 3.5, developers are encouraged to migrate their applications to newer .NET versions. The recommended minimum version is now .NET Framework 4.6.2. This change will help developers utilize the latest SDK features, improve security, and reduce technical debt.

Impact on Legacy Applications

For applications still running on .NET Framework 3.5, teams will need to upgrade their projects to at least .NET Framework 4.6.2. This may involve code refactoring and testing to ensure compatibility with the newer framework versions.

Future Roadmap

The AWS SDK for .NET team plans to continue evolving the SDK to leverage advancements in the .NET ecosystem. Developers can expect regular updates that introduce new features and enhancements, ensuring their applications remain modern and performant.

As of July 2022, Oracle ended the service life for Java 7. Consequently, the AWS SDK for Java will no longer support Java 7. The AWS SDK for Java maintains two major versions: 1.12.x and 2.x. Customers using Java 8 or newer can use either version, while those on Java 7 can only use version 1.12.767 or earlier.

Transition to Modern Java Versions

With the end of support for Java 7, developers are encouraged to transition to Java 8 or newer. This ensures they can leverage the latest enhancements, security updates, and performance improvements available in the AWS SDK for Java.

Maintaining Compatibility

For legacy applications that still rely on Java 7, it is essential to plan an upgrade path to newer Java versions. This transition will involve updating the Java runtime and potentially refactoring code to ensure compatibility with the newer SDK versions.

Enhanced Features and Security

By moving to Java 8 or newer, developers benefit from improved security, better performance, and access to the latest features in the AWS SDK for Java. This proactive approach ensures applications remain robust and secure in a rapidly evolving technological landscape.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, provides expert assistance in navigating these updates. Whether upgrading .NET applications to newer frameworks or transitioning Java applications to modern versions, KeyCore offers professional and managed services. Our team ensures your projects leverage the latest AWS SDK capabilities while maintaining high performance and security standards.

Contact KeyCore to learn how we can support your development efforts and keep your applications up-to-date with AWS best practices.

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AWS Architecture Blog

The concept of the Frugal Architect mindset was introduced by Dr. Werner Vogels during the re:Invent 2023 keynote. This mindset encourages a focus on cost and sustainability, treating these aspects as critical non-functional requirements alongside security, compliance, and performance. Here’s a closer look at the key principles of Frugal Architecture using the AWS Well-Architected Framework guidance:

The Frugal Architect Mindset

Dr. Werner Vogels emphasized the importance of continuous learning and curiosity. Regularly revising architectural choices ensures that cost and sustainability are always prioritized. This mindset aligns well with the AWS Well-Architected Framework, which provides best practices for building secure, high-performing, resilient, and efficient infrastructure for applications.

Cost Optimization

Cost should be a primary consideration in the architectural design process. AWS offers various tools and services like AWS Cost Explorer, AWS Budgets, and AWS Cost Anomaly Detection to monitor and manage expenses. By continuously evaluating and optimizing resource usage, architects can reduce costs without compromising on performance or security.

Sustainability

Sustainability is another critical factor in the Frugal Architect mindset. AWS is committed to running its operations in an environmentally friendly manner and offers tools like the AWS Well-Architected Tool to help customers design solutions with sustainability in mind. Using energy-efficient resources and optimizing workloads for lower energy consumption contribute to a more sustainable architecture.

Regular Review and Improvement

Regular reviews of architectural choices ensure that cost and sustainability remain top priorities. The AWS Well-Architected Framework encourages periodic assessments to identify areas for improvement. This proactive approach helps in catching inefficiencies early and adapting to changing business needs and technological advancements.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, can assist in adopting the Frugal Architect mindset. Through professional and managed services, KeyCore helps organizations optimize their AWS infrastructure for cost and sustainability. KeyCore’s expertise in AWS Well-Architected Reviews ensures that clients achieve a balance between cost-efficiency, performance, and sustainability in their architectural designs.

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AWS Partner Network (APN) Blog

Cadence Voltus IC Power Integrity Solution is a cutting-edge tool designed to tackle the complex challenges of modern electronic design. By deploying Cadence Voltus with AWS ParallelCluster, users can significantly enhance their power integrity analysis. AWS ParallelCluster simplifies the creation and management of high-performance computing (HPC) clusters on AWS, enabling scalable and cost-effective analysis. This integration allows for rapid deployment of compute environments tailored for power integrity simulations, ensuring detailed insights into power grid integrity and noise issues. The collaboration between Cadence Design Systems and AWS ensures that electronic design engineers have the computational power needed to address intricate power integrity challenges efficiently.

Securing AWS Environments with Wiz for Gov

Following President Biden’s Executive Order on Improving the Nation’s Cybersecurity, securing cloud environments has become a top priority. Wiz for Gov, a FedRAMP Moderate authorized solution, offers robust security measures tailored for AWS environments. This solution provides comprehensive visibility into security risks and enables proactive threat mitigation. By leveraging Wiz for Gov, organizations can enhance their cybersecurity posture, ensuring the protection of critical infrastructure against cyber threats. The integration with AWS ensures seamless deployment and management, aligning with federal cybersecurity standards and providing peace of mind for compliance-focused teams.

Evaluating Large Language Models for Responsible Gen AI on AWS

Evaluating Large Language Models (LLMs) responsibly is crucial for deploying generative AI applications. Caylent’s solution on AWS facilitates a human-in-the-loop evaluation and benchmarking workflow, ensuring ethical and effective AI deployment. This approach involves qualitative assessments to understand LLM behaviors and outputs, ensuring they align with responsible AI principles. The solution leverages AWS services to provide scalable and secure environments for LLM evaluation. By adopting this methodology, organizations can ensure their AI applications are both powerful and responsible, meeting ethical standards and user expectations.

Managing Data with InterSystems IRIS Cloud SQL and IntegratedML

InterSystems IRIS Cloud SQL and IRIS Cloud IntegratedML are cloud-native SaaS offerings designed for rapid data management and machine learning integration. Available on AWS Marketplace, these tools provide the fastest time to value for InterSystems data management software. Organizations can leverage these solutions to build and manage data fabric and data mesh architectures efficiently. The cloud-native nature of these tools ensures scalability, flexibility, and seamless integration with existing data workflows. By utilizing InterSystems IRIS on AWS, businesses can gain deeper insights from their data and streamline their data management processes.

How KeyCore Can Help

KeyCore, as the leading Danish AWS Consultancy, offers extensive expertise in implementing and optimizing AWS solutions. Whether integrating Cadence Voltus with AWS ParallelCluster, securing AWS environments with Wiz for Gov, evaluating LLMs for responsible AI, or managing data with InterSystems IRIS, KeyCore provides tailored support and guidance. Our professional and managed services ensure that your AWS deployments are efficient, secure, and aligned with best practices. Contact KeyCore to discover how we can enhance your AWS projects and drive business value through advanced cloud solutions.

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AWS HPC Blog

How Amazon Optimizes Their Supply Chain with AWS Batch

Amazon’s retail business is a vast and complex network, featuring millions of products sourced from hundreds of thousands of sellers. To maintain efficiency and meet customer demands, Amazon constantly seeks ways to optimize its supply chain operations. One of the key tools Amazon utilizes in this endeavor is AWS Batch.

Contributed by Michael Stalcup, a Software Development Engineer at Amazon, and Angel Pizarro, a Principal Developer Advocate at AWS, the article delves into how Amazon leverages AWS Batch to streamline their supply chain processes. AWS Batch allows Amazon to efficiently run hundreds of thousands of batch computing jobs, which supports a variety of supply chain tasks such as inventory management, demand forecasting, and logistics optimization.

AWS Batch seamlessly integrates with other AWS services like Amazon S3, Amazon EC2, and AWS Lambda, enabling Amazon to scale their computational resources based on demand. This flexibility ensures that Amazon’s supply chain operations can adapt to ever-changing market conditions and customer requirements. Additionally, the use of AWS Batch allows Amazon to reduce operational costs by optimizing resource utilization and leveraging spot instances.

Large Scale, Cost-Effective GROMACS Simulations using AWS Cyclone Solution

Max Planck, a renowned scientific institution, has been at the forefront of biophysical research. Their focus on understanding proteins at a molecular level necessitates running extensive simulations using GROMACS, a software for molecular dynamics. However, these simulations require substantial computational resources, which can be costly and challenging to manage.

In an effort to push the boundaries of biophysics research while maintaining cost-efficiency, a team at Max Planck utilized AWS Spot Instances combined with AWS Cyclone to run their large-scale GROMACS simulations. AWS Cyclone is a solution designed to facilitate high-performance computing (HPC) workloads on AWS by orchestrating the use of spot instances, which are available at a fraction of the cost of regular instances.

This approach allowed the team to efficiently conduct their research without compromising on computational power. By leveraging the cost savings from spot instances, Max Planck could allocate more resources towards their scientific endeavors. Additionally, the scalable nature of AWS Cyclone ensured that the simulations could handle varying workloads, providing the team with the flexibility to run more complex and detailed analyses.

Through the combined use of AWS Spot Instances and AWS Cyclone, Max Planck achieved a significant reduction in costs while accelerating their research capabilities. This innovative use of AWS services demonstrates the potential of cloud computing to revolutionize scientific research.

How KeyCore Can Help

KeyCore, the leading Danish AWS Consultancy, provides expert guidance and support in leveraging AWS services for optimal business and scientific outcomes. Whether it’s optimizing supply chain operations like Amazon or conducting large-scale scientific simulations like Max Planck, KeyCore’s professional and managed services can help organizations harness the full potential of AWS.

Our team of AWS-certified consultants can assist in designing, deploying, and managing AWS solutions tailored to your specific needs. From cost optimization strategies to scalable infrastructure setups, KeyCore ensures that your organization can achieve its goals efficiently and effectively. Contact KeyCore today to learn how we can help you succeed with AWS.

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AWS Cloud Operations & Migrations Blog

Cloud operations are essential for every organization. Leveraging Amazon Q to upgrade Lambda runtime functions is a key component in optimizing IT processes and accelerating software development. This upgrade enhances security and performance across cloud environments.

Benefits of Upgrading Lambda Runtime

Upgrading Lambda runtime functions using Amazon Q brings multiple benefits. Newer runtimes offer enhanced security by including the latest patches and updates. They also provide improved performance and new features that simplify development and operation tasks.

Implementation Steps

To upgrade Lambda runtime functions, start by identifying all the Lambda functions in use. Evaluate the current runtime versions and determine the new runtime to which they will be upgraded. Use AWS SDKs or CloudFormation templates to automate the upgrade process across multiple environments.

Highly regulated industries, such as Financial Services and Healthcare, need to audit every action within environments containing sensitive data. AWS CloudTrail data events provide a way to track these actions for Amazon SNS and Amazon SQS workloads, meeting compliance requirements set by regulations like HIPAA and frameworks like PCI DSS.

Auditing with CloudTrail Data Events

CloudTrail data events offer granular logging of Amazon SNS and Amazon SQS actions. These logs provide detailed records of user and administrative activities, which are essential for audit trails in regulated environments.

Implementing CloudTrail for SNS and SQS

To enable CloudTrail data events, configure AWS CloudTrail to log SNS and SQS actions. Define the scope of actions to be logged and set up log storage using Amazon S3. Use AWS Identity and Access Management (IAM) to control access to these logs, ensuring they are only accessible to authorized personnel.

Customers have long used automation to manage Amazon Elastic Block Store (EBS) tasks. AWS Systems Manager (SSM) Automation runbooks now offer a powerful tool to resolve operational tasks related to EBS, significantly reducing operational overhead.

Automating EBS Tasks with SSM

SSM Automation runbooks can be used to automate common EBS tasks such as snapshot management, volume resizing, and performance optimization. These runbooks allow for the definition of a sequence of steps that can be executed automatically, ensuring consistent and reliable operations.

Creating and Executing Runbooks

To create an SSM Automation runbook, define the series of actions to be performed on EBS resources in a JSON or YAML document. Use the AWS Management Console, AWS CLI, or AWS SDKs to execute the runbook. Monitor the execution and outcomes to ensure tasks are completed as expected.

How KeyCore Can Help

KeyCore provides expert guidance and managed services to help organizations optimize their cloud operations. Our team can assist in upgrading Lambda runtimes, implementing CloudTrail data events, and automating EBS tasks using SSM Automation runbooks. By partnering with KeyCore, organizations can enhance their cloud infrastructure, ensure compliance, and reduce operational overhead.

Visit KeyCore to learn more about our AWS consulting services and how we can help your organization achieve its cloud goals.

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AWS for Industries

In the dynamic banking sector, the credit card dispute management process has been traditionally manual and time-consuming due to reliance on legacy systems. This inefficiency results in slow dispute resolution times, poor customer experiences, potential revenue losses, and regulatory compliance challenges. Banks face operational inefficiencies and high costs, while customers suffer from dissatisfaction. Cloud technology can revolutionize this process by automating and streamlining dispute management. Automated workflows, AI-driven insights, and real-time data access can significantly reduce dispute resolution times, enhance customer satisfaction, and improve regulatory compliance. Cloud-based solutions offer scalability and flexibility, allowing banks to adapt to changing demands and technological advancements. Ultimately, the transition to cloud-enabled dispute management can lead to reduced operational costs, improved customer loyalty, and better adherence to regulatory standards.

In the health and beauty industry, Arbonne stands out for focusing on sustainability and the wellbeing of agents and customers. Modern consumers, particularly Generation Z, are shifting away from fast beauty brands that rely on mass production. They prefer brands that prioritize ethical practices, environmental responsibility, and holistic wellbeing. Arbonne’s commitment to sustainability resonates with this demographic, helping the company build a loyal customer base. By integrating sustainable practices into their business model, Arbonne not only meets consumer demands but also contributes positively to the environment. This approach not only enhances the brand’s image but also drives long-term business success in a competitive market. Sustainability and wellbeing are not just trends; they are essential strategies for brands aiming to thrive in the evolving health and beauty industry.

Enhancing Service Resilience

In the digital era, ensuring the resilience and availability of online services is crucial. Downdetector, a service by Ookla, enhances resilience with an AWS Multi-Region Serverless Architecture. Service disruptions can impact various industries, including advertising and marketing, by affecting engagement initiatives and data analytics. Downdetector provides real-time insights into service outages, helping minimize these impacts and ensuring seamless digital experiences for consumers. By leveraging AWS’s multi-region capabilities, Downdetector achieves high availability and fault tolerance, crucial for maintaining service continuity. The serverless architecture further enhances scalability and operational efficiency, allowing Downdetector to handle varying loads without compromising performance.

Precision Timekeeping in High Frequency Trading

In the High Frequency Trading (HFT) industry, precise time measurement is essential for maintaining a competitive edge. Flow Traders, a leading global liquidity provider, leverages Amazon EC2’s Precision Timekeeping for microsecond-level accuracy. Historically, achieving such precision required expensive, specialized hardware. AWS’s solution eliminates this need by providing precise time synchronization across their infrastructure. This enables Flow Traders to accurately determine network, hardware, and software latencies, ensuring optimal trading performance. The adoption of AWS’s timekeeping solution not only reduces costs but also simplifies infrastructure management, allowing Flow Traders to focus on their core trading strategies.

Generative AI for Energy Sector

The energy sector is leveraging generative AI to enhance Asset Performance Management (APM) and methane leak detection. Traditional time-based maintenance schedules are being replaced by predictive maintenance, which anticipates equipment failures before they occur. This shift optimizes costs, enhances performance, and mitigates risks. Energy companies are adopting generative AI models to analyze vast amounts of data and predict potential issues. This proactive approach not only improves operational efficiency but also contributes to safety and environmental sustainability. By integrating generative AI into APM and methane leak detection, energy companies can achieve significant improvements in asset reliability and environmental compliance.

Data Intelligence in Oilfield Operations

The global demand for oil drives the need for efficient drilling operations. NOV addresses critical oilfield challenges using the Databricks Data Intelligence Platform. Drilling operators face harsh environments and must maintain precision while controlling costs and risks. Databricks’ platform enables NOV to analyze vast datasets, providing actionable insights for optimizing drilling operations. This data-driven approach enhances decision-making, reduces operational risks, and improves overall efficiency. By leveraging data intelligence, NOV can ensure a consistent oil supply while minimizing environmental impact and operational costs.

Collaboration with OSDU Data Platform

Global project teams of geoscientists, geomodellers, and reservoir engineers need efficient collaboration tools. The OSDU Data Platform empowers these teams by providing a unified, data-centric approach for reservoir modeling. Traditional data silos and disparate systems hinder collaboration and data access. The OSDU platform integrates seismic, well, and interpretation data, facilitating seamless data sharing and collaboration. This enhances project efficiency, enabling teams to deliver projects on time. By adopting the OSDU Data Platform, organizations can overcome data fragmentation challenges, improve collaboration, and accelerate project timelines.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, offers expertise in leveraging AWS solutions to transform industry-specific challenges. From automating dispute management in banking to enhancing service resilience with multi-region architectures, KeyCore provides tailored AWS strategies for optimal results. Our team can help integrate precision timekeeping in high-frequency trading, implement generative AI for asset performance management, and utilize data intelligence platforms for oilfield operations. Additionally, KeyCore supports collaboration through the OSDU Data Platform, ensuring seamless project execution. With deep AWS knowledge and industry experience, KeyCore empowers businesses to achieve their goals efficiently and effectively.

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AWS Messaging & Targeting Blog

Email journaling is an essential practice that involves preserving comprehensive records of all email communications within an organization. This method ensures that every email sent and received is archived systematically, maintaining a reliable repository for compliance, legal, and operational purposes. To efficiently manage this, AWS offers SES Mail Manager, a powerful tool that integrates seamlessly with Amazon Simple Email Service (SES).

What is Email Journaling?

Email journaling involves capturing and storing all email communications within a company. This process helps in maintaining a complete log of every email interaction, which is crucial for various regulatory compliance standards and internal investigations. By implementing email journaling, organizations can ensure that they have a dependable and easily accessible archive of all their email correspondence.

Introduction to SES Mail Manager

Amazon SES Mail Manager is designed to streamline the email journaling process. It works with Amazon SES to automatically capture and store email communications. This tool enhances the efficiency of email management by providing sophisticated filtering, tagging, and storage capabilities. It ensures that all emails are archived in a structured and organized manner, making retrieval simple and fast when needed.

Business Value of Email Journaling

Maintaining a comprehensive email archive offers several business advantages. It helps organizations comply with legal and regulatory requirements by ensuring that all email communications are preserved accurately. Additionally, it aids in internal audits and investigations by providing a reliable source of email records. This can be particularly useful in resolving disputes and safeguarding against potential legal issues.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, offers expert services to implement and manage email journaling solutions using SES Mail Manager. Our team of AWS-certified professionals can assist organizations in configuring their Amazon SES environment to ensure efficient and compliant email archiving. By leveraging our expertise, businesses can enhance their email management practices, ensuring that they meet all regulatory requirements and maintain robust operational integrity.

Register for the upcoming webinar, “AI and Email: Smarter Email Journaling with SES Mail Manager and Amazon Q for Business,” on Tuesday, August 27, 2024, from 9:00 to 10:00 am (UTC-07:00) Pacific Time (US & Canada), to learn more about how AI can further enhance email journaling practices.

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AWS Marketplace

In the ever-evolving landscape of cloud services, AWS Marketplace offers a unique platform for customers to find, buy, and deploy software solutions. For sellers, operating efficiently within this marketplace can greatly influence sales and customer satisfaction. Two recent articles dive deeply into how AWS Marketplace Catalog API can help sellers automate and streamline their processes.

Automate Discounts with AWS Marketplace Catalog API to Streamline Sales

Sellers on AWS Marketplace can significantly enhance their sales processes by utilizing the AWS Marketplace Catalog API. This API allows sellers to automate the creation of promotions through Private Offers. By employing this API, sellers can create and manage private offers more efficiently, ensuring that customers receive tailored discounts without manual intervention.

The Catalog API provides endpoints for listing and managing products, which can be integrated into the seller’s existing systems. This reduces the time it takes to create promotions and minimizes errors associated with manual entry. Automating these processes not only speeds up sales cycles but also enhances the overall customer experience.

Streamlining AWS Marketplace Catalog API Integration

Integrating the AWS Marketplace Catalog API can be complex, but recent updates have introduced two new features that simplify this process for developers. The first feature is better API documentation, which now includes detailed examples and comprehensive guidelines. This documentation helps developers understand how to implement the API more effectively.

The second feature is the introduction of SDKs for various programming languages, which abstracts much of the complexity involved in API integration. These SDKs provide pre-built functions and methods that align with common use cases, making it easier to integrate the API into existing workflows. By leveraging these tools, developers can focus more on building value-added features rather than dealing with integration challenges.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, specializes in helping businesses maximize their AWS investments. With extensive experience in AWS Marketplace, KeyCore can assist sellers in automating their sales processes using the AWS Marketplace Catalog API. Whether it’s setting up automated discounts or integrating the latest API features, KeyCore’s team of experts can guide you through every step. By partnering with KeyCore, businesses can improve their operational efficiency and provide a better customer experience.

For more information on how KeyCore can enhance your AWS Marketplace strategy, visit our website.

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The latest AWS security, identity, and compliance launches, announcements, and how-to posts.

Amazon Simple Storage Service (Amazon S3) is known for its scalability, availability, durability, security, and performance. However, when sharing data between organizations, it is crucial to treat incoming data as untrusted and scan it for malicious files before ingesting it into downstream processes. Traditionally, this required setting up secure staging environments, but Amazon GuardDuty Malware Protection simplifies this process. GuardDuty can automatically scan S3 uploads for malware, providing an added layer of security without the need for manual intervention.

Streamlined Malware Detection

Using GuardDuty, organizations can enable Malware Protection to scan all incoming S3 objects for malicious content. This automated process helps identify and mitigate security threats early, reducing the risk of downstream systems being compromised. The service integrates seamlessly with existing AWS infrastructure, making it easy to deploy and manage.

Enhanced Security Measures

GuardDuty Malware Protection leverages machine learning and threat intelligence to detect various types of malware. This ensures that the scanned data is reliable and secure before it is processed further. By using GuardDuty, organizations can enhance their security posture and protect sensitive data more effectively.

In today’s digital landscape, managing secrets such as passwords, API keys, tokens, and other credentials is a critical task for organizations. AWS Secrets Manager offers a centralized and robust solution for managing these secrets efficiently. This service helps organizations protect sensitive information and comply with stringent security standards.

Centralized Secret Management

AWS Secrets Manager allows organizations to store, manage, and retrieve secrets centrally. This simplifies the management process and ensures that secrets are securely stored and accessed. With features like automatic rotation and fine-grained access control, Secrets Manager helps reduce the risk of credentials being compromised.

Seamless Integration

Secrets Manager integrates seamlessly with other AWS services, enabling organizations to manage secrets within their existing workflows. The service supports various types of secrets, including database credentials, API keys, and OAuth tokens, making it versatile and adaptable to different use cases.

Amazon Web Services (AWS) offers robust solutions for securely building, deploying, and scaling applications. As organizations grow, managing permissions and ensuring least privilege for identities and resources becomes critical. AWS provides tools to help security teams and developers streamline permissions management effectively.

Permissions Management for Security Teams

Security teams can use AWS tools to centrally inspect permissions and ensure that access policies adhere to the principle of least privilege. This helps minimize the risk of unauthorized access and enhances overall security.

Developer-Friendly Solutions

Developers can leverage AWS tools to manage permissions within their applications. By using services like AWS Identity and Access Management (IAM) and AWS Organizations, developers can automate permission management tasks and focus on building secure applications.

KeyCore, the leading Danish AWS consultancy, can assist organizations in implementing these AWS security, identity, and compliance solutions. With expertise in Amazon GuardDuty, AWS Secrets Manager, and AWS permissions management tools, KeyCore helps clients enhance their security posture and comply with regulatory requirements. Whether through professional services or managed services, KeyCore ensures that clients can leverage the full potential of AWS security offerings.

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Front-End Web & Mobile

CDN Caching Improvements for Better App Performance with AWS Amplify Hosting

AWS Amplify Hosting has introduced new caching improvements that significantly enhance application performance. These updates focus on optimizing caching rules and increasing the cache hit ratio by excluding cookies from the cache key. This means that users can expect faster load times and a smoother experience.

Enhanced Caching Efficiency

By excluding cookies from the cache key, AWS Amplify Hosting reduces the variability in cache requests. This streamlined approach leads to a higher cache hit ratio, which translates into quicker access to your app’s resources for end users.

Additional Headers for Advanced Use Cases

The update also includes access to additional headers. These headers open up new possibilities, such as supporting Next.js localization (i18n). This feature is particularly beneficial for developers looking to provide localized content dynamically based on user location.

Overall, these improvements in AWS Amplify Hosting’s CDN caching capabilities mean that developers can deliver faster and more efficient applications. This enhances user satisfaction and can contribute to higher engagement and retention rates.

How KeyCore Can Help

At KeyCore, we specialize in leveraging AWS services to optimize application performance. Our team can help you implement these new caching improvements in AWS Amplify Hosting, ensuring that your app benefits from faster load times and enhanced user experiences. Whether you need assistance with configuration or want to explore advanced use cases like localization, KeyCore’s experts are here to support you every step of the way. Visit KeyCore to learn more about how we can elevate your AWS solutions.

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AWS Contact Center

Contact center agents and supervisors constantly aim to deliver outstanding customer service. Modern contact centers frequently use an interactive voice response (IVR) system as the initial touchpoint for customers seeking support. Ensuring an excellent customer experience during this interaction is vital.

Enhancing Customer Service

Amazon Connect offers real-time sentiment analysis, empowering agents to improve service quality dynamically. By analyzing customer emotions during calls, agents can adjust their approach instantly to better address customer concerns.

How Real-Time Sentiment Analysis Works

Real-time sentiment analysis examines customer interactions as they happen. It uses machine learning to detect emotional cues in the customer’s voice, providing insights to the agent’s interface. These insights help agents respond empathetically and effectively.

Business Value

Implementing real-time sentiment analysis can significantly enhance customer satisfaction by ensuring that agents are more attentive and responsive. This proactive approach can lead to higher customer retention and loyalty.

KeyCore’s Expertise

KeyCore can assist businesses in setting up Amazon Connect with real-time sentiment analysis. Our team ensures seamless integration and provides training to maximize the benefits of this advanced feature. By leveraging KeyCore’s expertise, organizations can transform their contact centers into hubs of exceptional customer service.

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Innovating in the Public Sector

Immigration, Refugees, and Citizenship Canada (IRCC) faced a significant challenge: performing complex fuzzy string matching across two different datasets. This task was critical for their operations but posed substantial data processing difficulties. IRCC embarked on a transformative project that redefined its data processing capabilities, showcasing the power of cloud computing in overcoming substantial data challenges.

The Challenge

IRCC needed to perform complex fuzzy string matching across two large datasets. This process traditionally required months of heavy lifting activities, which was neither efficient nor sustainable.

The Solution

IRCC leveraged Amazon Elastic Compute Cloud (Amazon EC2) instances to address this challenge. By using Amazon EC2 instances, IRCC significantly accelerated their data processing capabilities. Tasks that previously took months were completed in just a few days.

Business Value

This transformation allowed IRCC to achieve faster and more efficient data processing. The ability to rapidly complete fuzzy string matching tasks allowed IRCC to focus more on their core mission and less on technical obstacles. This efficiency not only saved time but also resources, enabling IRCC to allocate their efforts toward improving services for immigration, refugees, and citizenship applications.

KeyCore Can Help

KeyCore specializes in leveraging AWS services to solve complex data processing challenges. By partnering with KeyCore, organizations can optimize their data processing workflows, reduce operational overhead, and achieve faster results. KeyCore’s expertise in AWS can help streamline operations, ensuring that critical tasks are completed efficiently and effectively.

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The Internet of Things on AWS – Official Blog

Securing the Future of Mobility: UNECE WP.29 and AWS IoT for Connected Vehicle Cybersecurity

As the automotive industry advances towards a future dominated by connected and autonomous vehicles, cybersecurity has become a critical focus. Modern vehicles rely heavily on software, sensors, and connectivity, making them potential targets for cyberattacks. To address these concerns, the United Nations Economic Commission for Europe (UNECE) has established the World Forum for Harmonization of Vehicle Regulations (WP.29).

The Role of UNECE WP.29

UNECE WP.29 plays a pivotal role in setting cybersecurity regulations for vehicles. The framework aims to ensure that automotive manufacturers implement robust cybersecurity measures throughout the vehicle’s lifecycle. This includes not just the design and production phases but also extends to post-production monitoring and updates. Compliance with WP.29 is crucial for manufacturers to sell vehicles in regions that adopt these regulations.

How AWS IoT Enhances Vehicle Cybersecurity

AWS IoT offers a comprehensive suite of tools and services designed to bolster vehicle cybersecurity. By leveraging AWS IoT, automotive manufacturers can implement real-time monitoring, threat detection, and automated response mechanisms. AWS IoT services such as AWS IoT Device Defender provide continuous auditing and monitoring of IoT devices to ensure they adhere to established security best practices.

Business Value for Automotive Industry

Implementing robust cybersecurity measures not only helps automotive manufacturers comply with UNECE WP.29 but also enhances consumer trust. Securing connected vehicles against cyber threats is essential for maintaining brand reputation and avoiding costly recalls or legal liabilities. Manufacturers that prioritize cybersecurity can gain a competitive edge by offering safer, more reliable vehicles.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, offers expert guidance in implementing AWS IoT solutions tailored to meet UNECE WP.29 compliance. Our team of AWS-certified professionals can help automotive manufacturers design and deploy secure IoT architectures, conduct security assessments, and implement continuous monitoring solutions. With KeyCore’s expertise, manufacturers can confidently navigate the complexities of vehicle cybersecurity and focus on innovation.

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