Summary of AWS blogs for the week of monday Mon Sep 16

In the week of Mon Sep 16 2024 AWS published 79 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Amazon Q Developer is revolutionizing the experience for software developers by leveraging artificial intelligence (AI) to facilitate the entire software development lifecycle. This AI-powered assistant is designed to simplify and expedite the process of building, securing, managing, and optimizing applications on AWS.

Enhanced Development Experience

Amazon Q Developer uses natural language processing to understand user inputs and project contexts. This means developers can simply describe what they need in natural language, and Amazon Q Developer will autonomously implement multi-file code changes, suggest optimizations, and even generate documentation. This dramatically reduces the time spent on mundane tasks, allowing developers to focus on more complex and creative aspects of their projects.

Comprehensive Project Management

Beyond just coding, Amazon Q Developer integrates seamlessly with project management workflows. It can automate code reviews, enforce security protocols, and ensure compliance with best practices. Its ability to manage various aspects of software development from a central interface makes it an invaluable tool for development teams.

Security and Optimization

Amazon Q Developer also emphasizes security and performance optimization. It continuously monitors code and infrastructure for vulnerabilities and suggests improvements. This proactive approach helps in maintaining robust and secure applications, ultimately leading to higher quality products.

Business Value

For businesses, the use of Amazon Q Developer translates to faster development cycles, reduced operational costs, and higher quality software. The automation of repetitive tasks and the integration of machine learning into the development process ensure that resources are utilized more efficiently.

How KeyCore Can Help

KeyCore specializes in helping organizations leverage AWS tools like Amazon Q Developer to their full potential. With expertise in both professional and managed services, KeyCore can assist in the seamless integration of Amazon Q Developer into your development workflows. From initial setup to ongoing optimization, KeyCore ensures that your team can maximize productivity and maintain a competitive edge.

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AWS for SAP

Deploying SAP on AWS provides organizations with scalable, reliable, and cost-effective solutions tailored to their unique needs. AWS supports various SAP deployment patterns to ensure optimal performance and resilience. This article introduces the automation and optimization of SAP network performance in a Multi-Availability Zone (AZ) deployment on AWS.

Understanding Multi-AZ Deployments

Multi-AZ deployments enhance the availability and resilience of SAP applications. By distributing workloads across multiple AZs within an AWS Region, organizations can achieve higher fault tolerance and minimize downtime. This setup is crucial for critical SAP systems that require consistent performance and reliability.

Automating Network Optimization

Automating network optimization for SAP in a Multi-AZ deployment involves configuring AWS services to manage network traffic efficiently. Tools like AWS Transit Gateway and AWS Direct Connect can be used to streamline network architecture. These services help in reducing latency, improving bandwidth, and ensuring secure data transfer between AZs.

Optimizing Network Performance

Optimizing network performance includes fine-tuning the configuration of AWS services and SAP applications. This optimization ensures that network resources are used efficiently and that the SAP applications perform optimally. Techniques such as leveraging AWS Elastic Load Balancing (ELB) and Amazon CloudFront can help distribute traffic evenly and enhance the user experience.

Benefits of Automating and Optimizing

Automating and optimizing SAP network performance in a Multi-AZ deployment provides several benefits:

  • Increased Resilience: By spreading the workload across multiple AZs, the system can better withstand failures and continue operating smoothly.
  • Improved Performance: Optimization techniques ensure that network resources are utilized effectively, leading to faster response times and better overall performance.
  • Cost Efficiency: Automation reduces the need for manual intervention, lowering operational costs and freeing up resources for other tasks.

How KeyCore Can Help

KeyCore, as a leading Danish AWS Consultancy, can assist organizations in deploying and optimizing SAP workloads on AWS. Our expertise in AWS services ensures that your SAP applications are resilient, performant, and cost-effective. From initial planning to ongoing management, KeyCore provides comprehensive support to help organizations achieve their goals. Visit KeyCore to learn more about our professional and managed services for AWS SAP deployments.

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Official Machine Learning Blog of Amazon Web Services

Integrate Dynamic Web Content in Generative AI Applications with Amazon Bedrock Agents

Amazon Bedrock Agents allow for seamless integration of dynamic web content in generative AI applications. By leveraging a web search API, these agents can pull in real-time data from the web to enhance the responses and outputs of AI models. This capability is especially useful for applications requiring up-to-date information.

Enhance Employee Experience with Generative AI Assistants Using Amazon Q Business

Amazon Q Business helps create generative AI assistants that improve employee experience and boost productivity. These assistants integrate with internal data sources, knowledge bases, and productivity tools. They provide instant access to information, automate tasks, and offer personalized support, making everyday operations more efficient for employees.

Document-Level Sync Reports in Amazon Kendra

The new document-level reports in Amazon Kendra enhance visibility into the document processing lifecycle during data source sync jobs. These reports offer detailed insights and observability, helping users better understand and manage their data synchronization processes.

Fine-Tune Meta Llama 3.1 Models with Torchtune on Amazon SageMaker

AWS collaborates with Meta’s PyTorch team to demonstrate how PyTorch’s torchtune library can fine-tune Meta Llama-like models on Amazon SageMaker. This fully-managed environment simplifies the process of optimizing machine learning models, enhancing their performance for various applications.

Integrate Amazon Bedrock Knowledge Bases with Microsoft SharePoint

By configuring Amazon Bedrock Knowledge Bases with SharePoint Online, employees can interact with organizational knowledge stored in SharePoint using natural language. This integration simplifies the process of finding relevant information, extracting key points, and deriving valuable insights from the data.

Accelerate Logo Design with Amazon Bedrock

Amazon Bedrock offers tools to accelerate brand creative efforts, particularly in logo design. Using Stable Diffusion’s powerful image-to-image model, users can interactively create and edit art and logo images, embracing generative art and dynamic logos.

Personalization with Generative AI on Amazon Bedrock

Amazon Bedrock facilitates personalized customer experiences using task decomposition for agentic workflows. By employing smaller LLMs tailored to businesses and industries, complex personalization tasks are broken down into manageable subtasks, ensuring adherence to company guidelines and leveraging human expertise.

Pre-Training Mistral’s Mathstral Model on Amazon SageMaker HyperPod

This in-depth guide presents how to start a continual pre-training job using PyTorch Fully Sharded Data Parallel (FSDP) for Mistral AI’s Mathstral model on SageMaker HyperPod. This approach enhances training efficiency and resilience, making it suitable for large-scale models.

Efficient MLOps Platform with OSS Tools on Amazon ECS and AWS Fargate

Zeta Global showcases an efficient MLOps platform built on Amazon ECS and AWS Fargate. This platform streamlines the end-to-end ML workflow, from data ingestion to model deployment, while optimizing resource utilization and cost efficiency.

RAG-Based Generative AI Applications with Amazon FSx and Amazon Bedrock

Using Amazon FSx for NetApp ONTAP with Amazon Bedrock, users can create RAG-based generative AI applications. This solution brings company-specific, unstructured user file data to Amazon Bedrock in a secure and efficient manner, enhancing AI-driven tasks.

AWS DeepComposer Ends Support

AWS DeepComposer, introduced at AWS re:Invent 2019 as an innovative tool for developers to compose music using generative AI, is ending support. This machine learning-enabled keyboard allowed developers to experiment with the latest ML techniques in music composition.

Maintain Access and Explore Alternatives for Amazon Lookout for Equipment

As Amazon Lookout for Equipment closes to new customers, users can maintain access and explore alternatives. This service has been pivotal in monitoring equipment health and ensuring operational efficiency through predictive maintenance.

CRISPR-Cas9 Guide RNA Efficiency Prediction with Amazon SageMaker

CRISPR technology revolutionizes gene editing by allowing precise modifications to DNA. Using Amazon SageMaker, scientists can predict guide RNA efficiency with tuned models, enhancing the accuracy and effectiveness of genetic modifications.

Improve RAG Performance with Cohere Rerank

Cohere Rerank can significantly enhance search efficiency and accuracy in Retrieval Augmented Generation (RAG) systems. This tool optimizes the retrieval process, ensuring that the most relevant information is surfaced in AI applications.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, can assist with implementing and optimizing these advanced AWS services. Whether it’s integrating dynamic web content, enhancing employee experiences with AI assistants, or fine-tuning machine learning models, KeyCore’s expertise ensures that businesses leverage AWS’s full potential. Our managed and professional services provide tailored solutions, ensuring seamless integration and maximum business value. Learn more about how KeyCore can support your AWS initiatives at www.keycore.dk.

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Announcements, Updates, and Launches

In the realm of AWS announcements, updates, and launches, numerous advancements have been made to further enhance the robustness and efficiency of cloud services. The following summaries detail some of the most significant updates.

AWS Named as a Leader in the 2024 Gartner Magic Quadrant for Desktop as a Service (DaaS)

AWS has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Desktop as a Service (DaaS). This acknowledgment highlights AWS’s dedication to delivering comprehensive virtual desktop solutions that cater to both remote and hybrid workforces. The leadership position signifies AWS’s continuous innovation and operational excellence in the DaaS market.

Introducing Graviton4-Powered Memory-Optimized Amazon EC2 X8g Instances

The new Graviton4-powered Amazon EC2 X8g instances are now available and designed for memory-intensive workloads such as databases, analytics, and caching. These instances provide up to 3 TiB of DDR5 memory, 192 vCPUs, and 50 Gbps network bandwidth, offering unparalleled price/performance and efficiency.

Data Engineering Professional Certificate by DeepLearning.AI and AWS

AWS, in collaboration with DeepLearning.AI, has launched a new hands-on specialization for data engineering. This professional certificate program equips learners with essential skills in data ingestion, storage, querying, and modeling, making it a critical resource for those seeking to enhance their expertise in data engineering.

Amazon S3 Express One Zone Now Supports AWS KMS with Customer Managed Keys

Amazon S3 Express One Zone now supports server-side encryption using AWS KMS with customer-managed keys. This update enhances the security of mission-critical data, ensuring top-notch performance and robust security, crucial for maintaining regulatory compliance.

AWS Weekly Roundup: Key Announcements and Releases

This week’s AWS roundup covers a variety of new releases, including Oracle Database@AWS, Amazon RDS enhancements, AWS PrivateLink updates, Amazon MSK improvements, Amazon EventBridge features, and updates to Amazon SageMaker. These updates highlight AWS’s commitment to continuous improvement and innovation in cloud services.

KeyCore stands ready to help organizations leverage these updates and innovations. With expertise in AWS, KeyCore can assist in implementing these new features and optimizing your cloud infrastructure for maximum efficiency and security. Contact KeyCore today to learn more about how we can support your cloud journey.

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Containers

When developing applications and needing to expose internal API endpoints, developers can leverage various compute options such as AWS Lambda, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS). Deploying these applications across multiple AWS accounts and Amazon Virtual Private Clouds (VPCs) can be complex but offers several benefits.

Cross-Cluster Communication in EKS

Amazon Elastic Kubernetes Service (EKS) simplifies running Kubernetes on AWS without needing to install and operate your own Kubernetes control plane or nodes. However, facilitating secure cross-cluster communication can be challenging. This is where VPC Lattice and Pod Identity IAM Session Tags come in handy.

Using VPC Lattice for Communication

AWS VPC Lattice allows developers to connect, control, and monitor service-to-service communication seamlessly. It offers a consistent way to connect services within and across VPCs. With VPC Lattice, developers can manage the routing and load balancing of their API calls, ensuring reliability and security across clusters.

IAM Session Tags for Security

For secure identity management, IAM Session Tags can be used with Pod Identity. These tags help in consistently applying identity-based access controls to the services connecting within and across clusters. This ensures that only authorized pods can interact with specific services, enhancing the security of the cross-cluster communications.

Business Value of Secure Cross-Cluster Communication

Implementing secure cross-cluster communication in EKS provides robustness and flexibility in deploying microservices. This approach allows organizations to scale applications across multiple VPCs and AWS accounts efficiently. It also ensures that sensitive data remains protected through stringent access controls, thereby complying with various regulatory requirements.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers expertise in implementing secure cross-cluster communication in EKS. Our professional services team can design and deploy VPC Lattice and IAM Session Tags tailored to your organization’s needs. Additionally, our managed services team can maintain and monitor these solutions, ensuring optimal performance and security. Contact KeyCore to leverage the full potential of AWS for your containerized applications.

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AWS Quantum Technologies Blog

Amazon Braket is AWS’s quantum computing service designed to enable researchers and developers to explore and develop quantum algorithms. In a recent update, a new generative AI assistant, Claude-3, has been introduced to help accelerate quantum software development on the platform. This assistant provides a powerful tool for those working with quantum programming by offering features that assist in code generation and debugging.

Features of Claude-3

Claude-3 stands out by providing a custom generative AI assistant tailored specifically for users of Amazon Braket. It helps generate quantum code snippets, making it easier to prototype and test quantum algorithms efficiently. By leveraging AI capabilities, Claude-3 can suggest code improvements and identify potential issues, which significantly reduces the time and effort required to develop robust quantum software.

Building Your Own AI-Powered Code Assistant

The blog post also provides a detailed guide on how to build a similar AI-powered code assistant. It walks through the setup process, including creating a development environment, integrating Claude-3 with Amazon Braket, and customizing the assistant to cater to specific development needs. This section is particularly useful for developers looking to tailor AI assistance to their unique project requirements.

Benefits for Quantum Developers

Using Claude-3 on Amazon Braket can lead to several benefits for quantum developers:

  • Increased Productivity: Automated code generation and debugging features help speed up the development process.
  • Improved Code Quality: AI-driven insights and suggestions ensure higher accuracy and performance of quantum algorithms.
  • Enhanced Learning: Developers new to quantum computing can learn faster by receiving real-time feedback and suggestions.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy, provides expert guidance in integrating and utilizing advanced AWS services like Amazon Braket. Our team can help set up and customize AI-powered assistants like Claude-3, ensuring developers maximize their productivity and code quality. Additionally, KeyCore offers professional and managed services to support ongoing quantum software development projects, ensuring they run smoothly and efficiently.

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Helping non-technical small and medium businesses (SMBs) migrate to the cloud

Chatbots are transforming how small and medium businesses (SMBs) engage with their customers. These automated systems offer numerous benefits, making them an invaluable tool for SMBs looking to enhance customer service and drive business growth. Below is a detailed look at how chatbots are revolutionizing customer engagement.

24/7 Availability

One of the most significant advantages of chatbots is their ability to provide round-the-clock customer support. Unlike human agents, chatbots can work tirelessly, ensuring that customers’ inquiries are addressed instantly at any time of day. This continuous availability improves customer satisfaction and loyalty, as customers are not restricted to business hours for getting assistance.

Scalability

As SMBs grow, the volume of customer inquiries also increases. Chatbots are highly scalable, making it easy to handle an influx of queries without the need to hire additional staff. This scalability ensures that businesses can maintain a high level of customer service even during peak times, leading to better customer experiences and operational efficiency.

Personalized Interactions

Modern chatbots leverage artificial intelligence and machine learning to provide personalized interactions. They can analyze customer data and tailor responses based on individual preferences and past interactions. This level of personalization helps in building stronger relationships with customers, as they feel understood and valued by the business.

Strategic Implementation

While chatbots offer numerous benefits, their success largely depends on strategic implementation. Businesses need to ensure that their chatbots are well-designed and capable of understanding and responding to a wide range of customer queries. Regular updates and improvements are essential to keep the chatbot relevant and efficient. Overcoming limitations such as handling complex queries or understanding context requires continuous monitoring and refinement.

How KeyCore Can Help

KeyCore offers expertise in implementing chatbot solutions tailored to the unique needs of SMBs. From selecting the right chatbot platform to integrating it with existing systems, KeyCore ensures a seamless transition to automated customer engagement. Our team of AWS experts can help optimize chatbot performance, ensuring scalability and personalization that drive customer satisfaction and business growth.

By leveraging KeyCore’s professional services, SMBs can navigate the complexities of chatbot implementation and unlock the full potential of this revolutionary technology.

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Official Database Blog of Amazon Web Services

Connecting to Amazon RDS and Aurora using Federated Users

It is possible to connect to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition instances using federated users with IAM Identity Center and IAM database authentication. This method enhances security and streamlines access. By integrating with AWS IAM Identity Center, database access can be managed centrally, providing secure and centralized authentication. This means that management of user permissions and access policies is simplified, reducing the administrative overhead and increasing security.

Steps to Connect

First, federated users need to be authenticated using AWS IAM Identity Center. Then, IAM database authentication is configured for the RDS or Aurora instances. This setup allows secure connections without the need for database-specific credentials, leveraging the powerful IAM policies for access control. This integration is particularly beneficial for organizations with multiple databases and users, providing a unified and secure method for managing database access.

Optimizing DynamoDB Costs: The Samsung Cloud Approach

Samsung Cloud utilizes five strategies to continuously lower the total cost of ownership (TCO) for Amazon DynamoDB. Since migrating from Apache Cassandra to DynamoDB in 2015, they have optimized costs significantly. The cloud-based service offers backup/restore, synchronization, sharing, and device authentication for Samsung devices globally.

Cost Optimization Strategies

The key approaches include:

  • Using reserved capacity to get a discounted rate
  • Implementing DynamoDB auto-scaling to adjust capacity based on demand
  • Utilizing on-demand backups and point-in-time recovery
  • Applying global tables to reduce latencies
  • Leveraging AWS Lambda for serverless operations

These strategies ensure that Samsung Cloud can efficiently and cost-effectively manage large volumes of data across its global user base.

Amazon Neptune for Trustworthy Shopping and Seller Experiences

Amazon leverages Amazon Neptune to maintain trustworthy shopping and seller experiences. Neptune, a graph database service, helps ensure that customers receive authentic products, whether sold by Amazon Retail or third-party sellers. This commitment to authenticity and safety is in line with Amazon’s goal of being the most customer-centric company worldwide.

Neptune’s Role in Trust and Safety

Amazon uses Neptune to map relationships and detect potential fraud or counterfeit products. This graph database enables the identification of suspicious activities by analyzing connections between data points. By doing so, Amazon enhances the reliability and trustworthiness of its marketplace, protecting both buyers and sellers.

Moving Aurora Instances to Private Subnets with Minimal Downtime

Migration of Aurora instances from public subnets to private subnets can be done with minimal downtime. This process involves carefully planned steps to ensure that the migration does not disrupt services. This is particularly important for businesses requiring high availability and security of their databases.

Migration Process

The steps include setting up the new private subnets, modifying the instance settings to point to the private subnets, and performing the migration during a maintenance window to reduce impact. This approach enables a secure and private database environment while maintaining operational continuity.

Presence’s Near-Zero Downtime Migration from Monolithic RDS MySQL

Presence successfully migrated from a monolithic Amazon RDS for MySQL instance to a more distributed architecture with near-zero downtime. They used replication filters and read replicas to achieve this. This methodology allowed them to migrate each service individually, maintaining service availability throughout.

Migration Strategy

Presence utilized replication filtering to ensure that only the relevant data was replicated to the new instances. This selective replication allowed for a phased migration approach, ensuring continuous availability of services. Such a strategy is crucial for organizations that cannot afford significant downtime during migration activities.

High Availability for Oracle GoldenGate Microservices Architecture

In the second part of the series, a reference architecture for Oracle GoldenGate Microservices Architecture (MA) in AWS is discussed. The GoldenGate Hub deployment model simplifies operations and minimizes resource usage on source and target systems, in contrast to traditional methods where GoldenGate components run directly on these systems.

Key Features of GoldenGate MA

GoldenGate MA provides high availability and scalability. The architecture ensures continuous data replication and integrates seamlessly with AWS services. This model is ideal for businesses looking to maintain high data availability and performance with minimal resource overhead.

How KeyCore Can Assist

At KeyCore, the leading Danish AWS Consultancy, our team of experts can help you implement and optimize these AWS database solutions. Whether you need to connect federated users to RDS, optimize DynamoDB costs, migrate Aurora instances, or ensure high availability with GoldenGate, we offer tailored services to meet your needs. Contact us today to learn more about how we can support your AWS journey.

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AWS Cloud Financial Management

Amazon Athena is a powerful serverless analytics tool that allows users to query the AWS Cost and Usage Report (CUR). This ability to dive deeply into cost and usage data is essential for spend reporting and optimization analysis. However, optimizing Amazon S3 storage costs when using Athena can be an overlooked opportunity. By leveraging S3 Lifecycle configuration, users can significantly reduce their storage expenses.

Introduction to Amazon Athena and CUR

Amazon Athena provides an efficient way to query data stored in Amazon S3. Users can perform complex queries on their AWS Cost and Usage Report (CUR) without the need for a dedicated server. This serverless architecture makes it easy to analyze detailed cost and usage data, facilitating better financial management within AWS.

Understanding S3 Lifecycle Configuration

S3 Lifecycle configuration allows users to manage their objects so that they are stored cost-effectively throughout their lifecycle. By setting up rules to automatically transition objects to different storage classes or delete them after a specified period, users can optimize their storage costs significantly.

Optimizing Storage Costs for Athena Queries

One effective strategy to optimize storage costs for Athena queries involves setting up lifecycle policies for the S3 buckets where the CUR data is stored. For example, users can transition older data to infrequent access storage classes or even archive it if it’s rarely accessed. This ensures that only the most relevant data is kept in the more expensive S3 Standard storage class, while less frequently accessed data is moved to cheaper storage options.

Practical Steps to Implement Cost Optimization

To start optimizing storage costs, users should:

  • Analyze the access patterns of their data stored in Amazon S3.
  • Define lifecycle policies to transition data to cheaper storage classes as it ages.
  • Regularly review and update lifecycle policies to ensure they still align with data usage patterns.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, can assist in setting up and optimizing Amazon Athena and S3 Lifecycle configurations for cost management. Our experts provide professional and managed services to help businesses fully leverage their AWS investments, ensuring they achieve optimal financial performance. Contact KeyCore to learn how to optimize your AWS usage and reduce unnecessary costs effectively.

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AWS Training and Certification Blog

Breaking into the cloud industry can be challenging for beginners, but with the right strategies, it’s a reachable target. Below are five practical tips drawn from the experiences of learners who successfully transitioned into cloud roles through AWS Education Programs.

Embrace Hands-On Learning

Hands-on experience is crucial. Engaging in practical exercises and labs can solidify theoretical knowledge and make it easier to tackle real-world problems. AWS provides numerous resources for hands-on learning, including AWS Free Tier and AWS Training Labs.

Earn Relevant Certifications

Certifications validate your skills and can make your resume stand out. Start with foundational certifications like AWS Certified Cloud Practitioner and gradually move to more specialized ones as you gain experience.

Build a Strong Online Brand

Creating a professional online presence is important. Use platforms like LinkedIn to showcase your skills, projects, and certifications. Sharing your learning journey and achievements can attract the attention of potential employers.

Engage with Learning Communities

Joining cloud learning communities can provide support and networking opportunities. Platforms like GitHub, Stack Overflow, and AWS re:Post offer avenues to connect with like-minded individuals and industry experts.

Leverage AWS Education Programs

AWS Education Programs offer structured learning paths and resources designed to help you gain the necessary skills and knowledge. Programs like AWS Academy and AWS Educate provide comprehensive training materials, practice exams, and more.

Taking these steps can significantly enhance your chances of landing your first cloud job. Engaging in hands-on learning, earning certifications, building an online brand, participating in communities, and leveraging educational resources are all practical strategies to jumpstart your cloud career.

How KeyCore Can Help

At KeyCore, we offer specialized guidance and support to help aspiring cloud professionals make a successful transition. Whether it’s through personalized training, certification assistance, or hands-on project opportunities, KeyCore ensures you are well-prepared to enter the cloud workforce. Visit our website to learn more about how we can assist you on your cloud journey.

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Microsoft Workloads on AWS

Enhancing security for AWS app integration is crucial for businesses leveraging both AWS and Microsoft Active Directory (AD). This blog post explores how AWS Managed Microsoft AD enhances security when establishing two-way trusts between self-managed Microsoft AD and AWS Managed Microsoft AD, facilitating seamless access to AWS applications.

Introduction

Many customers seek a seamless authentication and authorization experience for their self-managed Active Directory users accessing AWS resources. Integrating AWS Managed Microsoft AD with a self-managed Microsoft AD can provide the security and efficiency needed for such scenarios.

Improving Security with AWS Managed Microsoft AD

Using AWS Managed Microsoft AD, businesses can create two-way trusts with their self-managed Microsoft AD. This setup allows users from the self-managed AD to access AWS resources securely. By leveraging AWS security features and protocols, organizations can enhance their overall security posture.

Benefits of Seamless Authentication and Authorization

Implementing AWS Managed Microsoft AD for app integration ensures a seamless user experience. Users can utilize their existing AD credentials to access AWS applications without the need for separate credentials, thus reducing the risk of password fatigue and potential breaches.

KeyCore’s Expertise in AWS and Microsoft Integrations

KeyCore can assist organizations in setting up and managing AWS Managed Microsoft AD to enhance security and efficiency. With deep expertise in AWS and Microsoft environments, KeyCore ensures robust integration and seamless operations, aligning with the best security practices and operational requirements.

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Official Big Data Blog of Amazon Web Services

Amazon OpenSearch Service Pricing is based on three dimensions: instances, storage, and data transfer. Storage pricing depends on the chosen storage type and the storage tier. Visibility into domain-level charges enables accurate budgeting, efficient resource allocation, fair cost attribution across projects, and overall cost transparency. In this post, we show how to view the OpenSearch Service domain-level cost using AWS Cost Explorer.

Understanding Amazon OpenSearch Service Pricing

Amazon OpenSearch Service pricing comprises three main dimensions: instances, storage, and data transfer. Each of these elements contributes to the overall cost differently. For instance, storage costs can vary significantly depending on the type and tier of storage selected.

Benefits of Domain-Level Cost Visibility

Having visibility into domain-level costs offers several advantages. It allows for precise budgeting, ensuring that resources are allocated efficiently. It also facilitates fair cost attribution across various projects, enhancing overall cost transparency within an organization.

Using AWS Cost Explorer

AWS Cost Explorer is a powerful tool for tracking domain-level costs in Amazon OpenSearch Service. By utilizing this tool, users can gain detailed insights into their spending patterns, enabling them to make informed decisions about resource allocation and budgeting.

Amazon OpenSearch Service: Managed and Community-Driven

The Linux Foundation recently announced the creation of the OpenSearch Software Foundation. As part of this initiative, AWS has transferred ownership of OpenSearch to the Linux Foundation. This move underscores AWS’s commitment to maintaining a secure, high-quality, fully open source search and analytics suite with a rich roadmap of innovative functionality.

Commitment to Open Source

Since launching OpenSearch in April 2021, AWS has been dedicated to ensuring that users have access to a robust, open source search and analytics suite. The transfer of ownership to the Linux Foundation marks a deepening of this commitment, inviting the broader community to contribute and help shape the future of the project through open governance.

KeyCore’s Expertise

At KeyCore, we specialize in leveraging AWS services to enhance your business operations. Our experts can help you navigate the complexities of Amazon OpenSearch Service pricing, optimize resource allocation, and ensure cost transparency across your projects. As a leading AWS Consultancy, we offer tailored solutions that align with your specific needs, helping you maximize the value of your investments in AWS.

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Networking & Content Delivery

In today’s interconnected world, businesses of all sizes rely on secure and efficient network connectivity to operate seamlessly across multiple locations. Amazon Web Services (AWS) Site-to-Site Virtual Private Networks (Site-to-Site VPN) offer a reliable way to extend a private network across public infrastructure such as the internet. This enables organizations to securely connect their offices, data centers, and Amazon Virtual Private Clouds (VPCs).

Automated Monitoring for AWS Site-to-Site VPN

Effective network monitoring is crucial for maintaining the reliability and performance of AWS Site-to-Site VPN connections. Automated monitoring solutions provide real-time insights into VPN health and performance, helping businesses identify and address issues proactively. By automating monitoring, organizations can ensure continuous operations and minimize downtime.

Key Benefits of Automated Monitoring

Automated monitoring offers several advantages:

  • Real-Time Insights: Monitor VPN connections in real-time to quickly detect and respond to issues.
  • Proactive Issue Resolution: Use automated alerts to address potential problems before they impact operations.
  • Enhanced Security: Maintain robust security by continuously monitoring and auditing VPN connections.
Implementation Steps

Setting up an automated monitoring solution involves several steps:

  1. Create CloudWatch Alarms: Use Amazon CloudWatch to set up alarms for key VPN metrics.
  2. Enable Logging: Enable AWS CloudTrail to log VPN connection events and VPC Flow Logs for traffic analysis.
  3. Configure Notifications: Set up Amazon SNS to receive alerts and notifications for VPN-related events.

Business Value

Automated monitoring of AWS Site-to-Site VPN connections delivers substantial business value. It enhances operational efficiency by reducing manual monitoring efforts and provides peace of mind through continuous oversight of network health. Organizations can focus on core business activities, knowing that their network infrastructure is reliable and secure.

How KeyCore Can Help

KeyCore, as a leading Danish AWS consultancy, excels in implementing and managing AWS Site-to-Site VPN solutions. With expertise in AWS networking and content delivery, KeyCore can design, deploy, and monitor automated VPN solutions tailored to specific business needs. By partnering with KeyCore, organizations can leverage advanced AWS capabilities to achieve seamless and secure network connectivity.

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AWS Storage Blog

Automate monitoring at scale for Amazon FSx for NetApp ONTAP volumes:

User files are increasingly growing in number and size. Maintaining and managing file growth can be challenging without an effective set of tools and automation that scales with your data growth. Customers agree that visibility is key for managing existing files and for developing a plan to support future growth. Amazon CloudWatch is a service that provides this visibility by monitoring storage performance metrics and creating alarms to notify administrators of potential issues. By automating these monitoring tasks, businesses can ensure that performance remains optimal even as file sizes and numbers increase.

Restrict access to your Amazon FSx for NetApp ONTAP volumes using export policies:

Users who support multi-tenant environments need shared storage platforms that can securely isolate data between clients. For example, imagine a pharmaceutical company with several divisions, each working on different product lines. Storage administrators need to prevent one division from viewing or accessing the files and data from the projects of the others. They use export policies to control access to specific volumes, ensuring that only authorized users can access sensitive data. This is particularly critical in environments where data privacy and security are top priorities.

Protecting data against ransomware with Amazon FSx for NetApp ONTAP:

Imagine running a large business with critical data stored on your servers. One day, your systems get hit by ransomware, leaving your data encrypted and inaccessible. The bad actor demands a hefty ransom to provide the decryption key. Paying the ransom doesn’t guarantee that you can get your data back, and not paying might mean losing your data forever. Amazon FSx for NetApp ONTAP offers advanced data protection features, including snapshots and data replication, to help protect against such threats. These features allow businesses to quickly restore data from previous snapshots, mitigating the impact of ransomware attacks.

Best practices for connecting your Veeam on-premises environment to Amazon S3:

Many users safeguard their on-premises infrastructure with Veeam Backup & Replication (VBR). This is done to minimize the physical backup infrastructure they need to acquire and maintain. Additionally, they seek to make sure that their backups reside in highly durable, secure, and cost-effective storage solutions. By using Amazon Simple Storage Service (S3), VBR users can take advantage of AWS’s scalability and durability. Best practices for this setup include configuring the VBR to use S3 as a backup target, ensuring proper network connectivity, and implementing lifecycle policies to manage storage costs efficiently.

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AWS Developer Tools Blog

We are excited to announce the General Availability of the AWS SDK for Swift, which enables developers to access Amazon Web Services using the Swift programming language. This SDK offers a modern and user-friendly interface, perfectly suited for Apple platforms, AWS Lambda, and Linux-based Swift applications.

Key Features

The AWS SDK for Swift provides a native Swift interface, making it easier for developers to integrate AWS services into their applications. Some of the key features include:

  • Object-oriented and protocol-oriented design.
  • Support for popular AWS services like S3, DynamoDB, and more.
  • Compatibility with Apple platforms, AWS Lambda, and Linux-based environments.

Developer Benefits

By using the AWS SDK for Swift, developers can build seamless and efficient applications. The SDK’s design aligns with Swift’s idiomatic patterns, ensuring a smooth development experience. It also simplifies the task of integrating AWS services into Swift applications, reducing the need for workarounds or additional code.

Business Value

Organizations leveraging the AWS SDK for Swift can accelerate their development cycles and improve application performance. This can lead to faster time-to-market and enhanced user experiences, ultimately driving business growth and innovation.

How KeyCore Can Help

KeyCore, as the leading Danish AWS Consultancy, offers expert guidance and support for integrating the AWS SDK for Swift into your projects. Our team can assist with implementation, optimization, and troubleshooting to ensure your applications run smoothly and efficiently on AWS. Visit KeyCore to learn more about our services and how we can help you leverage AWS SDK for Swift to its fullest potential.

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AWS Architecture Blog

athenahealth has embarked on an ambitious journey to modernize its technology stack by leveraging AWS’s hybrid cloud solutions. The objective is to enhance scalability, reliability, and performance. This transformation is co-led by Amy Flanagan and Anusha Dharmalingam from athenahealth.

Hybrid Cloud Strategy

The hybrid cloud approach involves using Amazon Outposts and AWS Local Zones. Amazon Outposts extends AWS infrastructure, services, APIs, and tools to virtually any connected site. This allows athenahealth to run AWS services on-premises, ensuring low-latency access and local data processing capabilities.

Amazon Outposts

Amazon Outposts is integral to athenahealth’s hybrid cloud strategy. It enables the organization to move workloads seamlessly between on-premises environments and the AWS cloud. This ensures that athenahealth’s applications benefit from consistent hybrid cloud operations.

AWS Local Zones

In addition to Outposts, athenahealth leverages AWS Local Zones to bring AWS services closer to end users. Local Zones provide low-latency compute and storage closer to large population centers. This is particularly useful for latency-sensitive applications and data that must remain within a geographic boundary.

Benefits of the Hybrid Cloud Journey

The hybrid cloud strategy has allowed athenahealth to achieve several business benefits. These include improved scalability to handle increased workloads, enhanced reliability, and the ability to maintain compliance with regulatory requirements. Overall, the hybrid cloud journey supports athenahealth’s goal of modernizing their IT infrastructure and delivering better service to their customers.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, can assist organizations in adopting hybrid cloud solutions. With expertise in Amazon Outposts and AWS Local Zones, KeyCore can help design, implement, and manage hybrid cloud architectures. This ensures that businesses can leverage AWS infrastructure to enhance performance, scalability, and reliability while meeting specific regulatory and latency requirements.

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AWS Partner Network (APN) Blog

Learn how NextGen Healthcare’s Mirth Connect can be seamlessly integrated with AWS services to securely transmit, transform, and store healthcare data in a FHIR-compliant format. This enables advanced analytics, AI, and machine learning to drive improved patient outcomes.

Transforming Healthcare Data

NextGen Healthcare’s Mirth Connect provides a robust solution for managing healthcare data. Integrated with AWS, it ensures secure transmission, transformation, and storage of data in a FHIR-compliant format. This setup not only complies with industry standards but also leverages the power of AWS to enhance data interoperability and security.

Advanced Analytics and AI

By using AWS, healthcare providers can utilize advanced analytics, AI, and machine learning. This integration allows for deep insights into patient data, leading to better decision-making and improved patient outcomes. AWS’s powerful services enable real-time data processing and analytics, essential for modern healthcare environments.

KeyCore’s Expertise

KeyCore can assist in integrating Mirth Connect with AWS services. Our expertise ensures a seamless implementation, leveraging AWS’s full potential for healthcare data management and analytics.

As generative AI moves from proof-of-concept to production in 2024, optimizing cost and performance becomes crucial for companies to win customer workloads. The Generative AI Center of Excellence (CoE) for AWS Partners has created resources to help transform generative AI solutions from good to great, with inaugural assets available now in the CoE.

Optimizing Generative AI

The Generative AI Center of Excellence for AWS Partners provides tools and resources to optimize generative AI solutions. These resources focus on cost and performance, crucial for transitioning AI projects from concept to production.

Practical Resources and Tools

The CoE offers inaugural assets designed to enhance generative AI applications. These resources guide companies in optimizing their AI solutions, making them more efficient and effective in real-world scenarios.

KeyCore’s Role

KeyCore can help organizations leverage these resources to optimize their AI solutions. We provide the expertise needed to implement best practices and achieve optimal performance.

QuesTek, a leader in Integrated Computational Materials Engineering (ICME), and AllCloud, an AWS Partner, collaborated to integrate generative AI into QuesTek’s ICMD (Integrated Computational Materials Design) platform. In this post, we will provide a high-level overview of the generative AI use cases that transformed the ICMD platform.

AI-Driven Material Design

QuesTek and AllCloud’s collaboration has revolutionized the ICMD platform using generative AI. This integration has opened up new possibilities in material design, enabling more efficient and innovative solutions.

Transformative Use Cases

The generative AI use cases implemented in the ICMD platform have significantly improved its capabilities. These use cases highlight the potential of AI in driving advancements in material engineering.

Partnering with KeyCore

KeyCore can support similar transformations by integrating generative AI into specialized platforms. Our expertise ensures successful implementations that drive innovation and efficiency.

Infosys By Arvind Sundarraman, Practice Engagement Manager – Infosys      Rahul Deshmukh, Solution Architect – Infosys      Ashutosh Dubey, Solution Architect – AWS      Ashutosh Pateriya, Solution Architect – AWS As technology rapidly evolves, businesses need to adopt cloud computing to remain competitive. Migrating to the Amazon Web Services (AWS Cloud) can be very beneficial for businesses looking to improve their quality engineering processes.

Cloud Quality Engineering

Infosys has developed a Quality Engineering AI platform, leveraging AWS to enhance cloud quality engineering. This platform helps businesses adapt to rapidly evolving technology landscapes, ensuring competitive edge and operational efficiency.

Enhanced Quality Processes

By migrating to AWS, businesses can significantly improve their quality engineering processes. AWS’s cloud infrastructure provides the scalability and performance needed to ensure high-quality engineering outcomes.

KeyCore’s Implementation

KeyCore can facilitate the migration to AWS and the implementation of quality engineering solutions. Our expertise ensures a smooth transition and maximized benefits from AWS services.

Critical infrastructure like consistent and predictable electricity supply serves as a foundation for a country’s development and advancement. India’s development pace relies heavily on a reliable electricity supply. Infosys has designed a solution powered by AWS Generative AI to redefine crisis management.

Revolutionizing Crisis Management

Infosys’ solution leverages AWS Generative AI to enhance crisis management for critical infrastructure. This innovative approach ensures consistent and reliable electricity supply, crucial for India’s development.

AI-Driven Management

The solution utilizes generative AI to predict and manage crises effectively. This proactive management approach minimizes disruptions and ensures stable infrastructure operations.

Collaborate with KeyCore

KeyCore can assist in implementing AI-driven crisis management solutions. Our expertise in AWS and AI ensures robust and reliable infrastructure management.

DXC Technology Global Pharma companies need to prepare extensive documentation to seek regulatory approvals to market their drugs in the country. For each new drug application, thousands of documents must be drafted and managed efficiently.

Efficient Documentation

DXC’s FirstPoint RIM.AI solution, powered by Amazon Bedrock, streamlines the documentation process for pharmaceutical companies. This AI-driven solution automates the creation and management of extensive regulatory documents.

Compliance and Efficiency

The solution ensures compliance with regulatory standards while enhancing efficiency. It significantly reduces the time and effort required to prepare documentation for new drug applications.

KeyCore’s Expertise

KeyCore can help pharmaceutical companies implement AI-driven documentation solutions. Our expertise ensures compliance and efficiency in regulatory processes.

Generative AI enhanced solutions, such as virtual assistants and enterprise search, have already demonstrated their potential in breaking language barriers. Axrail’s multilingual GenAI solutions, powered by Amazon Bedrock, further advance this capability.

Breaking Language Barriers

Axrail’s solutions leverage Amazon Bedrock to create powerful multilingual applications. These solutions enhance communication and accessibility across different languages, benefiting global enterprises.

Advanced Multilingual AI

The generative AI capabilities enable accurate and efficient multilingual interactions. This opens up new opportunities for businesses to engage with a diverse customer base.

Implementing with KeyCore

KeyCore can support the implementation of multilingual AI solutions. Our expertise ensures effective deployment and maximized benefits from AWS’s advanced AI services.

As a trusted AWS Distributor, Redington Gulf helps AWS Partners grow revenue by reselling Amazon Web Services (AWS) solutions and services. To understand more about how AWS Partners can leverage these opportunities, Redington Gulf provides crucial support and resources.

Growing Cloud Business

AWS Partners can significantly grow their cloud business by collaborating with distributors like Redington Gulf. These partnerships provide access to AWS’s extensive resources and support systems.

Leveraging Distributor Support

Distributors offer valuable insights and tools to help AWS Partners succeed. They facilitate access to AWS solutions and services, enabling partners to expand their offerings and customer base.

KeyCore’s Partnership

KeyCore can help AWS Partners leverage distributor relationships. Our experience ensures effective collaboration and growth in the cloud business.

By combining Amazon DynamoDB with SingleStore, organizations can efficiently capture, process, and analyze DynamoDB data at scale. SingleStore has high-throughput data ingestion and near-real time analytical query capability for both relational and JSON data.

Real-Time Analytics

Integrating Amazon DynamoDB with SingleStore enables near-real-time analytics. This combination allows businesses to capture, process, and analyze data efficiently, leading to faster decision-making.

High-Performance Data Management

SingleStore’s capabilities ensure high-throughput data ingestion and analytical query performance. This integration empowers businesses to derive actionable insights from their data in near real time.

KeyCore’s Support

KeyCore can assist in integrating DynamoDB with SingleStore. Our expertise ensures optimized data management and real-time analytics capabilities.

Learn how AWS and ThinkCol collaborate to build responsible AI solutions using guardrails and safeguards. With ThinkCol’s Guardrail Solution, businesses can now harness generative AI’s power while mitigating risks of toxicity, hallucination, and misuse.

Responsible AI Solutions

ThinkCol’s Guardrail Solution, in collaboration with AWS, ensures responsible AI usage. This solution includes safeguards to mitigate risks associated with generative AI, such as toxicity and misuse.

Ensuring Brand Integrity

The solution provides a framework for maintaining brand integrity and customer trust. It includes pre-checking queries, generating accurate answers, and post-checking for relevance.

KeyCore’s Implementation

KeyCore can help

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AWS HPC Blog

In the rapidly evolving world of technology, leveraging advanced systems and models is crucial for achieving new heights. AWS provides powerful tools and infrastructure that can facilitate these advancements in a cost-effective and scalable manner. This blog post delves into two interesting use cases: harnessing large language models for agent-based model development and deploying Whisper for audio transcription using AWS Batch and AWS Inferentia.

Agent-Based Model Development with Large Language Models

Agent-based models (ABMs) play a critical role in simulations across various fields, including economics, epidemiology, and social sciences. However, building these models usually demands a deep understanding of the domain and complex programming skills.

To democratize this process, AWS has integrated Claude 3 Sonnet, a state-of-the-art large language model, into their ecosystem. Claude 3 Sonnet can assist users in developing ABMs by tapping into a vast repository of knowledge. It simplifies the ABM creation process by generating model structures and behaviors based on user input. This approach significantly reduces the time and expertise needed to develop complex models, enabling more rapid and iterative development cycles.

By leveraging Claude 3 Sonnet, organizations can accelerate their research and development endeavors, leading to faster insights and more innovative solutions. Additionally, this democratization can empower more teams to engage in model-based research without the need for extensive training or hiring specialized personnel.

Whisper Audio Transcription with AWS Batch and AWS Inferentia

Audio transcription is a critical task for many industries, from media and entertainment to legal and healthcare. However, transcribing large volumes of audio data can be both resource-intensive and costly. AWS offers a streamlined solution with Whisper, AWS Batch, and AWS Inferentia to address this challenge.

Whisper is an advanced audio transcription tool that can process audio files at scale. When combined with AWS Batch, it provides a scalable, managed service to handle large transcription workloads efficiently. AWS Inferentia, a custom chip designed by AWS for high-performance machine learning inference, further enhances this solution by reducing both latency and cost.

Deploying this solution is straightforward and can be done in minutes. Users can set up a batch processing pipeline that utilizes Whisper for transcription and leverages AWS Inferentia to perform these tasks at a significantly reduced cost. This setup ensures that businesses can transcribe large volumes of audio data quickly and affordably, making it an ideal solution for any organization that deals with extensive audio content.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, is uniquely positioned to help organizations leverage these powerful AWS technologies. Our team of experts can guide you through the process of integrating large language models like Claude 3 Sonnet into your workflows, enabling you to develop sophisticated agent-based models with ease. We can also assist in setting up and optimizing your audio transcription pipeline using Whisper, AWS Batch, and AWS Inferentia, ensuring that you achieve maximum efficiency and cost savings.

With KeyCore’s professional and managed services, you can unlock the full potential of AWS’s advanced capabilities, driving innovation and achieving your business goals more effectively. Visit our website at www.keycore.dk to learn more about how we can support your journey to AWS excellence.

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AWS Cloud Operations Blog

Managing and operating monitoring systems for containerized applications can be a significant operational burden for customers. As container environments scale, customers have to split metric collection across multiple collectors, right-size the collectors to handle peak loads, and continuously manage, patch, secure, and operationalize these collectors. The overhead can detract from a company’s primary business tasks. Using Amazon Managed Service for Prometheus managed scrapers, metrics collection in Amazon EKS environments can be automated, reducing the operational burden. This service helps manage, monitor, and scale Prometheus collectors, providing a seamless and efficient way to handle metrics. By automating these tasks, companies can ensure they are consistently achieving optimal performance without dedicating excessive resources to monitoring infrastructure.

Unified Logging with AWS CloudTrail Lake

In January 2023, AWS announced the support of ingestion for activity events from non-AWS sources using CloudTrail Lake. This makes CloudTrail Lake a single location for immutable user and API activity events, which is crucial for auditing and security investigations. AWS CloudTrail Lake is a managed data lake designed for capturing, storing, accessing, and analyzing user and API activity on AWS and beyond. With the new support for non-AWS sources, businesses can consolidate their activity logs into a single, secure repository. This unification allows for more streamlined audits and security investigations, ensuring all relevant data is easily accessible and manageable.

Enhancing Cloud Operations with Generative AI

Amazon Bedrock is a fully managed service offering a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. With Bedrock, businesses can build generative AI applications using a single API, ensuring security, privacy, and responsible AI usage. By integrating Agents for Amazon Bedrock and Amazon CloudWatch Logs, cloud operations workflows can be significantly enhanced. These integrations provide robust capabilities for automating and improving workflow efficiency, which is essential for maintaining high-performance cloud operations. Leveraging generative AI in this manner can lead to more intelligent, responsive, and efficient cloud management processes.

Efficient AWS Application Management with AWS Chatbot

AWS Chatbot offers ten features designed to help businesses understand their application health and resolve issues faster directly from chat channels like Microsoft Teams and Slack. These features include real-time notification of operational events, interactive CLI commands, and the ability to execute AWS Lambda functions. By integrating these functionalities into everyday chat channels, teams can streamline their operations, enhance communication, and rapidly respond to any issues that arise. This approach not only boosts efficiency but also ensures that critical application insights are always at the fingertips of the team members who need them most.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, offers expert services to help businesses harness the full potential of AWS solutions. Whether it’s automating metrics collection with Amazon Managed Service for Prometheus, unifying logging with AWS CloudTrail Lake, enhancing operations with generative AI through Amazon Bedrock, or streamlining application management with AWS Chatbot, KeyCore has the expertise to assist. Our professional services ensure that these advanced AWS features are seamlessly integrated into your operations, while our managed services provide ongoing support to maintain optimal performance. Visit KeyCore to learn more about how we can elevate your AWS cloud operations.

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AWS for Industries

The electrification revolution: Powering the mine of the future

The transition to net-zero is driving unprecedented demand for critical minerals used in electric vehicles, wind turbines, and other green technologies. Meeting this demand is pushing the mining industry toward a significant technological transformation – an electrification revolution.

Shifting from Diesel to Electric

Traditionally, mining operations have relied on diesel-powered trucks, excavators, and mobile machinery. However, to reduce carbon footprints and increase sustainability, mines are now transitioning to electric-powered equipment. This change not only reduces greenhouse gas emissions but also lowers operational costs due to savings in fuel and maintenance.

Technological Innovations in Mining

The adoption of electric equipment is just one part of the technological revolution in mining. Advancements in automation, IoT, AI, and machine learning are also playing crucial roles. These innovations enable more efficient resource extraction, real-time monitoring, and predictive maintenance, leading to safer, more effective mining operations.

KeyCore’s Role in the Electrification Revolution

KeyCore can help mining companies integrate these advanced technologies seamlessly. By leveraging AWS services like IoT Core, SageMaker, and Lambda, KeyCore ensures that mining operations are optimized for both performance and sustainability. KeyCore’s expertise in AWS can drive the transition to more environmentally friendly mining practices.

Waters Corporation increases lab efficiency with AWS

Across the Life Sciences, companies are integrating cloud technology into laboratory operations to create digitally connected labs. This innovation is bringing the industry closer to the Lab of the Future, enabling seamless data integration, remote access, collaboration, flexibility, scalability, and cost-effectiveness. Waters Corporation has had success in this area, benefiting its customers significantly.

Creating Digitally Connected Labs

With the integration of AWS cloud technology, laboratories can now operate with greater efficiency and accuracy. Digitally connected labs allow for real-time data sharing, remote monitoring, and automated workflows. This connectivity enhances collaboration among researchers and speeds up the innovation process.

Benefits for Waters Corporation’s Customers

Waters Corporation’s customers enjoy improved lab efficiency, reduced operational costs, and enhanced data security. AWS services such as AWS IoT, AWS Lambda, and Amazon S3 provide the infrastructure needed for these advanced lab operations. This results in faster, more reliable outcomes in research and development.

KeyCore’s Expertise in Life Sciences

KeyCore can assist life sciences companies in adopting AWS solutions to transform their lab operations. By implementing services like AWS Glue for data integration, Amazon SageMaker for machine learning, and AWS IoT Core for device management, KeyCore ensures that labs are equipped to meet the demands of the future. KeyCore’s deep knowledge of AWS can help laboratories achieve new levels of efficiency and innovation.

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AWS Messaging & Targeting Blog

In today’s digital landscape, businesses heavily rely on SMS and email campaigns to engage with customers and deliver timely, relevant messages. The shift towards digital marketing has increased customer engagement, accelerated delivery, and expanded personalization options. Email and SMS marketing is essential to digital strategies according to 44% of Chief Marketing Officers (CMOs). They allocate significant resources towards these channels to ensure maximum outreach and effectiveness.

Importance of Compliance in Digital Marketing

Compliance in digital marketing is crucial due to the evolving regulatory landscape. Regulations such as GDPR and CAN-SPAM Act govern how businesses can communicate with customers. Non-compliance can result in hefty fines and damage to brand reputation. Ensuring that SMS and email campaigns comply with these regulations is an ongoing challenge for businesses.

Leveraging Amazon Comprehend for Compliance

Amazon Comprehend, a natural language processing (NLP) service, can help streamline compliance for SMS and email marketing. By using machine learning to analyze text, Amazon Comprehend can identify sensitive information and ensure messages adhere to legal requirements. This automation reduces the risk of human error and enhances efficiency.

How Amazon Comprehend Works

Amazon Comprehend uses advanced NLP algorithms to understand the context and sentiment of text. It can detect personally identifiable information (PII) and flag content that may violate compliance rules. By integrating Amazon Comprehend into marketing workflows, businesses can automatically scan and approve messages before they are sent out.

Business Value of Automated Compliance

Automating compliance with Amazon Comprehend provides significant business value. It reduces the time and effort required to manually review marketing content. Additionally, it minimizes the risk of non-compliance and associated penalties. This leads to a more streamlined and efficient marketing process, allowing businesses to focus on creating engaging content rather than worrying about regulatory issues.

How KeyCore Can Help

KeyCore offers expert consultancy services to help businesses integrate Amazon Comprehend into their marketing workflows. Our team can assist with setting up the service, customizing it to fit specific compliance needs, and ensuring seamless integration with existing marketing platforms. By partnering with KeyCore, businesses can enhance their digital marketing strategies while ensuring compliance with ease.

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AWS Marketplace

Deploying third-party software to AWS GovCloud (US) using Amazon EC2 console is essential for customers looking to leverage robust security and compliance measures. By utilizing the Amazon EC2 console, users can easily configure and deploy subscribed third-party software within the AWS GovCloud (US) Regions.

Benefits of AWS GovCloud (US)

AWS GovCloud (US) is designed to host sensitive data and regulated workloads in the cloud. It is compliant with numerous standards such as FedRAMP, ITAR, and DoD SRG, making it an ideal choice for government agencies and organizations needing heightened security measures.

Using the Amazon EC2 Console

The Amazon EC2 console simplifies the deployment process. Users can browse the AWS Marketplace for suitable third-party software, subscribe to it, and then configure it before deploying within the AWS GovCloud (US) environment.

Deployment Steps

  1. Subscription: Begin by subscribing to the desired third-party software from the AWS Marketplace.
  2. Configuration: Navigate to the EC2 console and configure the instance type, security groups, and other necessary settings.
  3. Deployment: Deploy the configured instance within the AWS GovCloud (US) Region.

KeyCore’s Expertise

At KeyCore, we assist organizations in securely deploying their third-party software to AWS GovCloud (US). Our experienced consultants ensure compliance and optimize configurations for robust performance. We offer both professional services and managed services to tailor solutions to specific organizational needs.

To learn more about how KeyCore can help your organization leverage AWS GovCloud (US) and securely deploy third-party software using the Amazon EC2 console, visit our website or contact us directly.

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

Automate Detection and Response to Website Defacement with Amazon CloudWatch Synthetics

Website defacement occurs when unauthorized actors gain access to a site and replace its content. This blog post discusses how to detect and respond to website defacement using Amazon CloudWatch Synthetics. CloudWatch Synthetics allows you to automate both the verification of defacement and the response process. By creating canaries, you can continuously monitor your website for unauthorized changes. When a defacement is detected, automated responses can be triggered to mitigate the issue. This solution helps ensure the integrity of your website’s content and reduces the time to detect and respond to defacements.

AWS Renews Its GNS Portugal Certification for Classified Information with 66 Services

Amazon Web Services (AWS) has renewed its GNS Portugal certification, covering 66 services in AWS Regions and edge locations within the European Union. This certification from Gabinete Nacional de Segurança (National Security Cabinet) confirms that AWS adheres to the stringent security requirements set by the Portuguese government. It ensures that AWS’s cloud infrastructure, security measures, and operational processes meet high standards for handling classified information. This certification reinforces AWS’s commitment to providing secure and compliant services to customers handling sensitive data.

Refine Unused Access Using IAM Access Analyzer Recommendations

Managing security at scale is crucial for any organization. The IAM Access Analyzer helps refine unused access permissions across your AWS environment. By following the principle of least privilege, you ensure that permissions are granted only when necessary. IAM Access Analyzer provides visibility into permissions and identifies unused access, allowing you to confidently remove or adjust permissions. This tool supports security best practices by helping you maintain a secure and compliant environment.

Using Amazon Detective for IAM Investigations

Investigating AWS Identity and Access Management (IAM) users and roles involved in security events can be challenging. Amazon Detective simplifies this process with Detective Investigation. This feature helps security analysts gather and analyze data from various sources, uncovering the full scope of affected resources. By using Amazon Detective, you can conduct thorough IAM investigations and enhance your security posture by identifying potential threats and vulnerabilities linked to IAM entities.

Get to Know Amazon GuardDuty Runtime Monitoring for Amazon EC2

Amazon GuardDuty Runtime Monitoring for EC2 instances provides advanced threat detection capabilities. This blog post dives into the key features and deployment strategies for Runtime Monitoring. GuardDuty continuously monitors your EC2 instances for suspicious activity, helping you detect and respond to threats in real time. By implementing GuardDuty Runtime Monitoring, you can enhance the security of your EC2 instances and protect them from various threats.

Methodology for Incident Response on Generative AI Workloads

The AWS Customer Incident Response Team (CIRT) has developed a methodology tailored for investigating security incidents related to generative AI applications. While following the AWS Security Incident Response Guide, it’s essential to consider the unique aspects of generative AI workloads. This methodology provides a structured approach to handling incidents involving AI-based applications, ensuring a comprehensive and effective response to security events.

Create Security Observability Using Generative AI with Security Lake and Amazon Q in QuickSight

Generative AI is increasingly being utilized in enterprise applications. This blog post explores how to create security observability using generative AI with Security Lake and Amazon Q in QuickSight. By integrating these technologies, businesses can gain deeper insights into security data, identify patterns, and improve their overall security posture. This approach leverages the power of generative AI to enhance security observability and response capabilities.

Introducing the APRA CPS 230 AWS Workbook for Australian Financial Services Customers

The Australian Prudential Regulation Authority (APRA) has established CPS 230 to ensure financial entities manage operational risks effectively. AWS has introduced an APRA CPS 230 Workbook to assist Australian financial services customers in complying with this standard. The workbook provides detailed guidance on managing operational risks, maintaining critical operations during disruptions, and handling risks associated with service providers. This resource supports financial entities in achieving compliance and operational resilience.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, offers expert guidance and services to help businesses leverage AWS’s latest security, identity, and compliance features. Our team can assist in implementing automated detection and response solutions for website defacement, achieving and maintaining certifications, refining IAM access, conducting detailed IAM investigations, deploying advanced threat detection, and responding to incidents involving generative AI workloads. We also provide tailored support to ensure compliance with operational risk management standards. Contact KeyCore for professional and managed services to enhance your AWS security and compliance initiatives.

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Front-End Web & Mobile

Learn how to create a sophisticated chat application using Amazon Bedrock in a React Native environment. This comprehensive guide illustrates the process of building AI-powered chat features, enhancing user interactions through cutting-edge technology.

React Native Application Setup

The tutorial begins with setting up a React Native mobile application. Custom JSX components are utilized to design the user interface, ensuring a seamless and intuitive chat experience for end-users. The detailed instructions help in creating a visually appealing and functional chat interface.

Integrating Amazon Bedrock

Amazon Bedrock’s foundational models are integrated into the chat application, enabling advanced AI capabilities. This integration allows for more dynamic and intelligent chat interactions, leveraging Amazon’s powerful AI infrastructure to provide users with an enriched communication experience.

Backend Development with AWS Amplify Gen2

The backend development is powered by AWS Amplify Gen2. This section covers the setup and configuration of AWS Amplify to handle the backend processes efficiently. The use of AWS Amplify Gen2 ensures scalable and reliable backend support, essential for maintaining real-time chat functionalities.

Implementation and Deployment

Finally, the implementation phase involves deploying the chat application and ensuring it runs smoothly. The guide provides practical steps for testing and optimizing the application to achieve the best performance. The deployment process is streamlined with detailed instructions, making it accessible even for those new to React Native or AWS.

How KeyCore Can Help

KeyCore can assist in every step of building and deploying your AI-powered chat application. With expertise in AWS services and React Native development, KeyCore can provide professional services to optimize your app’s performance and scalability. Whether you need help with backend development or integrating Amazon Bedrock, KeyCore’s managed services ensure your project is completed efficiently and effectively.

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AWS Contact Center

In the 2024 Frost Radar™ reports for the Asia-Pacific (APAC) and Europe, Middle East, and Africa (EMEA) regions, Amazon Web Services (AWS) has been recognized as a leader in the contact center-as-a-service (CCaaS) market. The reports underscore AWS’s continuous innovation and growth, particularly with Amazon Connect.

Cloud-Native Architecture

The Frost Radar™ reports highlight the cloud-native architecture of Amazon Connect. This architecture enables organizations to scale their contact center operations efficiently. By operating in the cloud, companies can reduce infrastructure costs and quickly adjust to changing customer needs.

Advanced Capabilities

Amazon Connect is praised for its advanced capabilities. Features such as machine learning-powered analytics, real-time insights, and natural language processing enhance customer interactions. These tools help businesses provide personalized and efficient customer service.

Market Growth

The recognition of AWS in both APAC and EMEA is a testament to its market growth. AWS continues to innovate and expand its services, making it a preferred choice for organizations looking to modernize their contact centers.

KeyCore’s Expertise

KeyCore is well-positioned to help businesses leverage AWS’s advanced contact center solutions. With deep expertise in AWS services, KeyCore can assist in deploying Amazon Connect, optimizing its features, and ensuring seamless integration with existing systems.

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Innovating in the Public Sector

Christian Hoff, director of federal civilian sales at Amazon Web Services (AWS) Worldwide Public Sector (WWPS), is a dedicated professional who has built a lifelong career of service. His extensive experience includes roles as a Lieutenant Colonel (Retired), mentor, and father. Hoff shares his insights on the impact of generative AI and its potential to enhance services in US federal civilian agencies. His perspective is both professional and personal, providing valuable lessons for those looking to make a tangible difference in public service. For a deeper dive into Hoff’s journey and insights, listen to the latest episode of the AWS Behind the Cloud vodcast.

UBC Cloud Innovation Centre

In January 2020, AWS launched a Cloud Innovation Centre (CIC) at the University of British Columbia (UBC). The CIC leverages cutting-edge technologies to address real-world problems and has developed over 50 prototypes in sectors like healthcare, education, and research. Managing AWS resources in higher education involves balancing innovation with robust governance. The CIC’s approach involves clear policies and shared responsibilities, ensuring secure and effective use of over 300 AWS accounts by various stakeholders, including students, researchers, and external collaborators.

Peraton’s Data Center Migration

Peraton, a global enterprise IT integrator, collaborated with AWS to consolidate its data centers and migrate to AWS GovCloud (US) Regions. As an AWS Premier Tier Services Partner, Peraton successfully transitioned to a virtual data center within six months. The migration resulted in an advanced, secure architecture that supports global mission-critical services. This strategic move underscores Peraton’s agility and commitment to leveraging AWS for secure and scalable IT solutions.

NSW Department of Education’s Tech Transformation

The New South Wales (NSW) Department of Education (DoE) is partnering with AWS to address the evolving tech skills landscape. With the rise of artificial intelligence (AI) and digital technologies, AWS is helping to upskill both educators and students in Australia. This collaboration aims to equip the workforce with the necessary skills to thrive in a digital future. The focus is on transforming tech skills and enhancing job prospects through comprehensive training programs and strategic initiatives.

CloudWatch Canaries for Monitoring

Amazon CloudWatch Synthetics offers canaries, enabling proactive application monitoring. Canaries are lightweight scripts that mimic user interactions, providing valuable insights into application performance and behavior. They enhance monitoring, observability, and reliability by detecting and addressing issues before they impact users. The customizable scripts, along with end-to-end visibility and robust alerting features, make CloudWatch canaries an essential tool for maintaining high application performance and reliability.

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The Internet of Things on AWS – Official Blog

Industrial and manufacturing companies are leveraging AWS IoT SiteWise to manage data from their equipment on a large scale. AWS IoT SiteWise provides a comprehensive solution for collecting, storing, organizing, and monitoring data from industrial machinery. This service acts as a robust data foundation that supports remote monitoring of equipment, performance tracking, anomaly detection, and advanced analytics use cases. Here’s how it works and the benefits it brings to industrial operations:

Data Collection and Storage

AWS IoT SiteWise simplifies the process of gathering data from various industrial machinery. It enables users to efficiently collect data from sensors and other devices, ensuring that all critical information is captured in real-time. Once collected, this data is securely stored in the AWS Cloud, providing easy access for further processing and analysis.

Data Organization and Monitoring

Organizing the data is crucial for effective monitoring and analysis. AWS IoT SiteWise allows users to create a structured data model that mirrors the physical layout of their industrial assets. This hierarchical representation makes it easier to navigate through the data and monitor the performance of different equipment pieces. Real-time dashboards and alerts help in identifying and addressing issues promptly.

Advanced Analytics and Insights

With a solid data foundation in place, AWS IoT SiteWise enables advanced analytics. Users can apply machine learning models to predict equipment failures, optimize maintenance schedules, and enhance operational efficiency. The insights gained from these analytics can lead to significant cost savings and improved productivity.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, helps businesses implement AWS IoT SiteWise to achieve their industrial IoT goals. From designing data models to setting up real-time monitoring and advanced analytics, KeyCore ensures that industrial customers fully leverage AWS IoT SiteWise capabilities. With expertise in AWS services, KeyCore provides both professional and managed services, ensuring seamless and efficient deployment and operation of IoT solutions.

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AWS Open Source Blog

The OpenSearch project is transitioning to The Linux Foundation to form the OpenSearch Software Foundation. This move signifies a significant milestone for the project, fostering a more collaborative environment and further strengthening its open-source roots. The Linux Foundation’s robust ecosystem will support the OpenSearch community, enhancing innovation and development. This shift aims to provide an open, scalable, and secure search and analytics solution, benefiting users and developers globally.

Enhanced Collaboration and Innovation

By joining The Linux Foundation, the OpenSearch project aims to leverage a larger open-source community. This collaboration is expected to drive rapid innovation and improve the software’s capabilities. The new foundation will manage the project’s governance, ensuring a transparent and inclusive development process. This change is aligned with the principles of open-source software, aiming to democratize access to advanced search and analytics tools.

Benefits for Users and Developers

For users, this transition promises more robust and reliable solutions. Being under The Linux Foundation’s umbrella ensures that OpenSearch will benefit from the best practices in open-source development. For developers, it opens up opportunities to contribute to a high-impact project with wide-reaching applications. This move also assures users of a sustainable and secure development path, with community-driven enhancements and innovations.

Commitment to Open Source

The formation of the OpenSearch Software Foundation underscores AWS’s commitment to the open-source ecosystem. By supporting the project’s move to The Linux Foundation, AWS underlines its dedication to fostering open-source projects. This move is a testament to the collaborative spirit that drives open-source development, ensuring that OpenSearch remains a premier, community-supported solution.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, can guide businesses in leveraging OpenSearch to its fullest potential. Our expertise in AWS and open-source technologies ensures that organizations can seamlessly integrate OpenSearch into their workflows. From deployment to optimization, KeyCore offers professional and managed services tailored to meet specific business needs. Reach out to KeyCore to maximize the benefits of the OpenSearch Software Foundation’s robust, scalable search and analytics capabilities.

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