Summary of AWS blogs for the week of monday Mon Aug 26

In the week of Mon Aug 26 2024 AWS published 72 blog posts – here is an overview of what happened.

Topics Covered

• Desktop and Application Streaming
• Official Machine Learning Blog of AWS
• Announcements, Updates, and Launches
• Containers
• AWS Quantum Technologies Blog
• Helping non-technical small and medium businesses (SMBs) migrate to the cloud
• Official Database Blog of AWS
• AWS Cloud Financial Management
• AWS for Games Blog
• AWS Training and Certification Blog
• Microsoft Workloads on AWS
• Official Big Data Blog of AWS
• Networking & Content Delivery
• AWS Compute Blog
• AWS for M&E Blog
• AWS Storage Blog
• AWS Developer Tools Blog
• AWS Partner Network (APN) Blog
• AWS Cloud Enterprise Strategy Blog
• AWS Cloud Operations & Migrations Blog
• AWS for Industries
• AWS Marketplace
• The latest AWS security, identity, and compliance launches, announcements, and how-to posts.
• Front-End Web & Mobile
• AWS Contact Center
• Innovating in the Public Sector
• The Internet of Things on AWS – Official Blog

Desktop and Application Streaming

Read the full blog posts from AWS

• Utilizing CloudWatch Internet Monitor with Amazon WorkSpaces Personal
• Enhanced management for Amazon WorkSpaces Personal with ControlUp
• Announcing native Entra ID and Intune support for Amazon WorkSpaces
• New Omnissa Horizon 8 features supported by Amazon WorkSpaces Core

Official Machine Learning Blog of Amazon Web Services

Discover how to leverage the power of AWS AI/ML services for Text-to-SQL use cases, optimize prompt engineering with Amazon Bedrock, and accelerate generative AI inference. Learn about tenant isolation, indexing website content, and building end-to-end RAG solutions. Dive into the AWS DeepRacer League’s success and explore personalized news recommendations, intelligent email automation, and securing RAG applications.

Best Practices for Prompt Engineering with Meta Llama 3 for Text-to-SQL Use Cases

Explore a solution using ChromaDB’s vector engine and Meta Llama 3, hosted on SageMaker JumpStart, for Text-to-SQL use cases. Learn the history of Meta Llama 3, best practices for prompt engineering, and an architecture pattern using few-shot prompting and RAG to extract schemas stored as vectors in ChromaDB.

Implementing Advanced Prompt Engineering with Amazon Bedrock

Gain insights and practical examples for balancing and optimizing prompt engineering workflows with Amazon Bedrock. Focus on advanced prompt techniques for foundation models from leading AI companies. Harness the full capabilities of Amazon Bedrock, ensuring clear communication while mitigating risks.

Accelerate Generative AI Inference with NVIDIA NIM Microservices on Amazon SageMaker

Learn how to use generative AI models and LLMs with NVIDIA NIM integration on SageMaker. This post demonstrates deployment, optimization of performance, and cost-management for state-of-the-art models on SageMaker.

Celebrating the Final AWS DeepRacer League Championship and Road Ahead

The AWS DeepRacer League, the world’s first autonomous racing league powered by ML, concludes after six years. Celebrate the achievements of 560,000 participants from 150+ countries and look forward to future innovations in AWS DeepRacer.

Provide a Personalized Experience for News Readers Using Amazon Personalize and Amazon Titan Text Embeddings on Amazon Bedrock

Discover how to recommend breaking news to users using Amazon Personalize and Amazon Titan Text Embeddings on Amazon Bedrock. Provide articles to interested users within seconds of publication, leveraging the power of AWS AI/ML services.

Implementing Tenant Isolation Using Agents for Amazon Bedrock in a Multi-Tenant Environment

Implement tenant isolation with Amazon Bedrock agents in a multi-tenant e-commerce application. Develop an AI assistant or chatbot, offering tenant-specific information like return policies and user-specific details such as order status updates.

Connect the Amazon Q Business Generative AI Coding Companion to GitHub Repositories with Amazon Q GitHub (Cloud) Connector

Learn to perform natural language queries over indexed GitHub data using Amazon Q Business. This post covers applying ACLs associated with indexed documents to ensure permission-filtered responses through the AI-powered chat interface.

Elevate Customer Experience Through Intelligent Email Automation Using Amazon Bedrock

Automate email responses to customer queries with Amazon Bedrock. Identify customer email intents, send automated responses if matched with your knowledge base, or route unmatched emails to support for manual handling.

Build an End-to-End RAG Solution Using Knowledge Bases for Amazon Bedrock and the AWS CDK

Automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK. Set up a robust question-answering system quickly and efficiently, leveraging AWS infrastructure.

Index Website Contents Using the Amazon Q Web Crawler Connector for Amazon Q Business

Create an Amazon Q Business application and index website contents using the Amazon Q Web Crawler connector. Set up authentication and advanced settings to instruct the crawler for specific content, demonstrating with an employee onboarding guide and Amazon Q Business documentation.

Getting Started with Cross-Region Inference in Amazon Bedrock

Announcing cross-region inference for Amazon Bedrock, enabling automatic cross-region routing for inference requests. Ensure optimal availability, performance, and resiliency while managing traffic spikes in applications powered by Amazon Bedrock.

Building Automations to Accelerate Remediation of AWS Security Hub Control Findings Using Amazon Bedrock and AWS Systems Manager

Utilize generative AI and Amazon Bedrock to streamline remediation of AWS Security Hub control findings. Simplify and effectively manage remediations, leveraging AI capabilities integrated with AWS Systems Manager.

Secure RAG Applications Using Prompt Engineering on Amazon Bedrock

Address prompt-level threats and implement security guardrails in RAG applications with Amazon Bedrock. Use prompt templates compatible with LLMs to protect against threats like prompt injection, ensuring secure application operations.

Get the Most from Amazon Titan Text Premier

Introducing Amazon Titan Text Premier, optimized for enterprise use cases, including RAG and agent-based applications. Build interactive AI assistants that use enterprise APIs and proprietary documents for advanced functionalities.

GenASL: Generative AI-Powered American Sign Language Avatars

Explore GenASL, a solution translating speech or text into ASL avatar animations using AWS generative AI. This technology bridges the communication gap between spoken/written language and sign language, providing expressive ASL avatar videos.

AWS Empowers Sales Teams Using Generative AI Solution Built on Amazon Bedrock

This series details AWS’s journey in implementing generative AI solutions for sales teams. The first post highlights Account Summaries, which combine information from various sources into comprehensive summaries for better customer engagement preparation, resulting in a 4.9% increase in opportunity value.

How KeyCore Can Help

At KeyCore, experts can assist in leveraging AWS capabilities for your unique use cases. Whether it’s optimizing prompt engineering, deploying generative AI models, or enhancing customer experiences, KeyCore provides tailored solutions to drive business value. Reach out to KeyCore to explore how to harness the full potential of AWS services for your organization.

Read the full blog posts from AWS

• Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases
• Implementing advanced prompt engineering with Amazon Bedrock
• Accelerate Generative AI Inference with NVIDIA NIM Microservices on Amazon SageMaker
• Celebrating the final AWS DeepRacer League championship and road ahead
• Provide a personalized experience for news readers using Amazon Personalize and Amazon Titan Text Embeddings on Amazon Bedrock
• Implementing tenant isolation using Agents for Amazon Bedrock in a multi-tenant environment
• Connect the Amazon Q Business generative AI coding companion to your GitHub repositories with Amazon Q GitHub (Cloud) connector
• Elevate customer experience through an intelligent email automation solution using Amazon Bedrock
• Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK
• Index website contents using the Amazon Q Web Crawler connector for Amazon Q Business
• Getting started with cross-region inference in Amazon Bedrock
• Building automations to accelerate remediation of AWS Security Hub control findings using Amazon Bedrock and AWS Systems Manager
• Secure RAG applications using prompt engineering on Amazon Bedrock
• Get the most from Amazon Titan Text Premier
• GenASL: Generative AI-powered American Sign Language avatars
• AWS empowers sales teams using generative AI solution built on Amazon Bedrock

Announcements, Updates, and Launches

Amazon Web Services (AWS) has introduced the AWS Parallel Computing Service, designed to run High-Performance Computing (HPC) workloads at virtually any scale. This service leverages Slurm and managed clusters, providing organizations the ability to run complex simulations effortlessly. The AWS Parallel Computing Service aims to cater to industries requiring intensive computational power, such as scientific research, financial modeling, and engineering simulations. By automating the provisioning and management of HPC clusters, it significantly reduces the overhead associated with setting up and maintaining these environments.

With AWS Parallel Computing Service, users can scale their HPC workloads seamlessly, ensuring optimal performance and cost-efficiency. The integration with Slurm, an open-source workload manager, allows for efficient job scheduling and resource management. This service empowers businesses to focus on innovation and problem-solving rather than infrastructure management.

Additionally, AWS handles the underlying infrastructure, providing robust security, compliance, and scalability. Organizations can now accelerate their time-to-results by leveraging AWS’s vast computing resources, fostering a more innovative and competitive landscape.

The AWS Weekly Roundup for August 26, 2024, highlighted several notable updates and events in the AWS ecosystem. One of the key events was the JAWS PANKRATION 2024, hosted by the AWS User Group Japan (JAWS-UG). Themed ‘No Border,’ this 24-hour online event brought together AWS Heroes, AWS Community Builders, AWS User Group leaders, and other participants from around the globe. The event featured a diverse range of discussions, from cultural talks to technical deep dives.

Among the speakers was Kevin Tuei, an AWS expert who shared valuable insights on various AWS services and their applications. The event served as a platform for knowledge exchange, networking, and fostering a sense of community among AWS enthusiasts.

Furthermore, the roundup included updates on S3 Conditional writes and advancements in AWS Lambda, showcasing AWS’s continuous efforts to enhance its services and provide more robust solutions for developers and businesses.

KeyCore, as the leading Danish AWS consultancy, can assist organizations in leveraging these new offerings. With extensive expertise in AWS services, KeyCore helps businesses implement HPC workloads using the AWS Parallel Computing Service, ensuring seamless integration and optimal performance. Additionally, KeyCore provides guidance on utilizing AWS updates like S3 Conditional writes and Lambda enhancements, enabling organizations to stay ahead in the rapidly evolving cloud landscape. Whether it’s professional services or managed services, KeyCore offers tailored solutions to meet the unique needs of each client, driving innovation and operational efficiency.

Read the full blog posts from AWS

• Announcing AWS Parallel Computing Service to run HPC workloads at virtually any scale
• AWS Weekly Roundup: S3 Conditional writes, AWS Lambda, JAWS Pankration, and more (August 26, 2024)

Containers

Kubernetes has become the de-facto standard for container orchestration, providing powerful capabilities for deploying and managing stateless workloads. However, running stateful applications on Kubernetes presents unique challenges, particularly in VMware environments. One of the primary issues is that virtual disks used by stateful apps cannot be attached to pods as easily as ephemeral storage.

Challenges with Stateful Workloads

Stateful applications require persistent storage that remains consistent across pod restarts. In VMware environments, this persistent storage is typically provided by virtual disks. Unlike ephemeral storage, these virtual disks must be carefully managed to ensure they are reattached to the correct pods after restarts. This process can be complex and error-prone.

Using GitOps for Management

GitOps offers a solution by using a declarative approach to manage Kubernetes clusters and applications. With GitOps, the desired state of the Kubernetes cluster, including stateful workloads, is stored in a Git repository. Changes to the desired state are made through pull requests, which are then automatically applied to the cluster.

vSphere CSI Driver

The vSphere Container Storage Interface (CSI) driver further simplifies the management of stateful workloads on Kubernetes by providing an interface for dynamic provisioning and management of VMware-backed storage. When combined with GitOps, the vSphere CSI driver allows users to declaratively manage the lifecycle of stateful applications, ensuring that virtual disks are correctly provisioned and attached to the appropriate pods.

Business Value

Implementing GitOps with the vSphere CSI driver for stateful workload management offers several business benefits. It reduces the risk of human error, enhances consistency and reliability, and simplifies complex storage management tasks. This leads to increased efficiency, allowing teams to focus on delivering value rather than managing infrastructure intricacies.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, can assist organizations in leveraging GitOps and the vSphere CSI driver to manage stateful workloads on Kubernetes. With expertise in both AWS and Kubernetes, KeyCore provides tailored solutions that ensure robust, scalable, and efficient stateful application deployment. Whether through professional services or managed services, KeyCore supports businesses in optimizing their container orchestration strategies.

Read the full blog posts from AWS

• Using GitOps for Stateful Workload Management with vSphere CSI driver on on-premises Kubernetes

AWS Quantum Technologies Blog

Monitoring a Quantum Network on AWS

Quantum encryption promises unbreakable security, but managing the infrastructure can be challenging. LuxQuanta has leveraged AWS to centralize control and gain valuable insights into their quantum network. By using AWS’s advanced monitoring and management tools, LuxQuanta was able to streamline their operations, ensuring that their quantum encryption systems function optimally. This approach not only enhances security but also reduces the complexity of managing a quantum network.

Centralized Control and Insights with AWS

LuxQuanta utilized AWS’s suite of services to centralize control over their quantum network. This includes AWS CloudWatch for monitoring system health and performance, alongside other AWS security and management tools. The integration with AWS allowed LuxQuanta to gain real-time insights into network performance and potential issues, facilitating preemptive troubleshooting and maintenance.

Using AWS’s centralized management capabilities, LuxQuanta could better handle the operational intricacies of a quantum network. This centralized approach ensures a more streamlined and efficient management process, which is crucial for maintaining the robustness and security of quantum encryption systems.

Amazon Braket Launches Rigetti Ankaa-2 Superconducting Device

Amazon Braket has recently onboarded Rigetti’s new 84-qubit superconducting quantum processor, Ankaa-2. This new device offers faster gate times, improved fidelities, and is available round the clock. Quantum computing enthusiasts and researchers can now access Ankaa-2 on Amazon Braket to run their algorithms and experiments.

Accessing and Using Ankaa-2

The Ankaa-2 processor can be accessed through Amazon Braket’s user-friendly interface. Researchers and developers can leverage this powerful quantum processor to test and refine their quantum algorithms. With its enhanced performance and 24/7 availability, Ankaa-2 provides a robust platform for advanced quantum computing research.

Amazon Braket’s integration with Ankaa-2 means users can benefit from AWS’s reliable infrastructure, ensuring high availability and performance. This integration allows for seamless experimentation and development in the quantum computing space, driving innovation and discovery.

How KeyCore Can Help

KeyCore, as a leading Danish AWS Consultancy, can assist businesses in leveraging quantum technologies on AWS. We offer professional services to help set up and manage quantum networks, including centralized control and monitoring. Our managed services ensure that your quantum infrastructure is always optimized and secure. Whether you are looking to integrate new quantum processors like Rigetti Ankaa-2 or need expertise in quantum encryption, KeyCore provides the support and insights needed to succeed in the quantum era. Contact us to learn more about how we can help you harness the power of AWS quantum technologies.

Read the full blog posts from AWS

• Monitoring a quantum network on AWS
• Amazon Braket launches the Rigetti Ankaa-2 superconducting device

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

As markets intensify and industries evolve, sustainability has transcended beyond just environmental considerations. For small and medium-sized businesses (SMBs), building a sustainability strategy isn’t just about being ethical; it’s a crucial driver for business success. Implementing sustainability initiatives can unlock various advantages that contribute to growth and profitability.

Business Benefits of Sustainability

Sustainability can lead to reduced operational costs, as energy-efficient practices and waste reduction strategies often save money. Additionally, many consumers prefer to purchase from environmentally responsible companies, increasing customer loyalty and potentially expanding the customer base.

Furthermore, sustainable practices can attract investors who are looking for companies with long-term viability and responsible governance. This can lead to increased funding opportunities and financial stability.

Steps to Implement Sustainability

Begin by conducting an audit to understand the current environmental impact of your business. Identify areas where improvements can be made, such as reducing energy consumption, minimizing waste, or sourcing materials sustainably.

Next, integrate sustainability into your business strategy. Set clear and achievable goals, and communicate these goals internally and externally. This helps to build a culture of sustainability within your organization and shows your commitment to stakeholders.

Propelling Innovation in SMBs

Navigating new demands as an SMB can feel like weathering a storm in a rowboat. As new technologies advance and customer expectations peak, businesses need to constantly evolve. Staying afloat requires keeping pace with these changes and continuing to innovate.

The Importance of People, Culture, and Processes

Innovation starts with people. Hiring the right talent and fostering a culture that encourages creativity and risk-taking are crucial. Employees need to feel empowered to experiment and learn from failures.

Cultural transformation is key. Establish a culture that embraces continuous improvement and is open to change. This creates an environment where new ideas can flourish and be implemented effectively.

Improving Processes

Adopt agile methodologies to increase flexibility and responsiveness. Streamline processes to reduce inefficiencies and ensure that your operations can quickly adapt to new market demands.

Leverage technology to automate repetitive tasks and free up resources for more strategic initiatives. This allows your team to focus on innovation and value creation.

How KeyCore Can Help

KeyCore offers expertise in both professional and managed services to help SMBs migrate to the cloud and implement sustainable business practices. Our team can conduct a thorough audit of your current operations, develop a customized sustainability strategy, and guide you through the process of integrating these practices into your business.

We also provide support in fostering innovation through cultural transformation and process improvements. Leveraging our knowledge of AWS technologies, we can help you automate tasks, adopt agile methodologies, and stay ahead of technological advancements. Partner with KeyCore to drive your SMB’s growth and success through sustainability and innovation.

Read the full blog posts from AWS

• Boosting Small Business Profits Through Sustainability
• Propelling Innovation: The People, Culture, and Process Imperatives

Official Database Blog of Amazon Web Services

Discovering how to manage and optimize databases on AWS can significantly enhance your cloud infrastructure’s performance and cost efficiency. Here, we break down key insights from recent posts on the Official Database Blog of Amazon Web Services, covering topics from minor version upgrades to advanced auditing and graph database performance.

Performing a Minor Version Upgrade for Amazon RDS Custom for SQL Server CEV with Multi-AZ

Upgrading the minor version of your Amazon RDS Custom for SQL Server CEV instance can be complex, particularly in a Multi-AZ setup. This post guides you through the process, highlighting the benefits of RDS Custom’s rolling upgrades, which limit downtime to the failover period and the time needed for post-upgrade scripts. The detailed steps ensure that the instance operates optimally post-upgrade, minimizing disruptions.

Migrate Amazon RDS for Oracle BLOB Column Data to Amazon S3

This article offers a comprehensive solution for migrating BLOB column data from Amazon RDS for Oracle tables to Amazon S3. The proposed architecture pattern allows for selective migration of specific columns and rows, utilizing Amazon S3 integration. This integration lets you copy data between the RDS and S3 directly using SQL, making the process efficient and manageable.

Using DML Auditing for Amazon Keyspaces (for Apache Cassandra)

Data Manipulation Language (DML) auditing is critical for organizations requiring detailed tracking of database changes. This post explains how to set up DML auditing in Amazon Keyspaces and leverage its native integration with CloudTrail. The example provided demonstrates how to record and analyze audit trails across multiple tables in a keyspace without needing additional tools, thus ensuring comprehensive change management and compliance.

How Prisma Cloud Built Infinity Graph Using Amazon Neptune and Amazon OpenSearch Service

Palo Alto Networks’ Prisma Cloud needed robust database and search services to support its Infinity Graph. This post explains why Amazon Neptune and Amazon OpenSearch Service were chosen, detailing the scale and performance requirements met by these services. The focus is on design decisions and benefits, illustrating how these AWS services integrate seamlessly to support high-demand cloud security operations.

Schedule Jobs in Amazon RDS or Amazon Aurora PostgreSQL Using pg_tle and pg_dbms_job

Customers migrating from Oracle to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL often face scheduling challenges. This article demonstrates using Trusted Language Extensions (TLEs) for PostgreSQL to install and utilize pg_dbms_job. This tool allows for the management of precisely scheduled sub-minute jobs, ensuring that workflow disruptions are minimized, and business operations remain smooth.

Triple Your Knowledge Graph Speed with RDF Linked Data and openCypher Using Amazon Neptune Analytics

Leveraging RDF linked data and openCypher can significantly enhance the performance of your knowledge graphs. This post showcases how to build efficient knowledge graphs using Amazon Neptune Analytics. It covers the loading of publicly available RDF datasets into an RDF-compatible database, enabling the connection of diverse data sources and tripling the speed of knowledge graph operations.

How KeyCore Can Help

KeyCore’s expertise in AWS database management can help you implement these advanced solutions efficiently. Whether upgrading your RDS Custom for SQL Server, migrating Oracle BLOB data, setting up DML auditing, or optimizing your knowledge graphs, KeyCore offers tailored professional and managed services. Our team ensures seamless integration and operation, aligning with your business objectives to maximize cloud infrastructure benefits.

Read the full blog posts from AWS

• Performing a minor version upgrade for Amazon RDS Custom for SQL Server CEV with Multi-AZ
• Migrate Amazon RDS for Oracle BLOB column data to Amazon S3
• Using DML auditing for Amazon Keyspaces (for Apache Cassandra)
• How Prisma Cloud built Infinity Graph using Amazon Neptune and Amazon OpenSearch Service
• Schedule jobs in Amazon RDS or Amazon Aurora PostgreSQL using pg_tle and pg_dbms_job
• Triple your knowledge graph speed with RDF linked data and openCypher using Amazon Neptune Analytics

AWS Cloud Financial Management

Infor, a global leader in software solutions, has realized substantial savings of over $2 million by employing effective Cloud Financial Management (CFM) strategies. By leveraging a combination of cost reporting and optimization techniques, they have set a benchmark for other organizations aiming for financial efficiency in their AWS cloud usage.

Cost Reporting and Analysis

One of Infor’s primary strategies was enhancing their cost reporting capabilities. By implementing detailed cost allocation and tagging, they were able to gain deep insights into their cloud expenditure. This transparency allowed them to identify high-cost areas and allocate resources more efficiently.

Optimization through Automation

Automation played a crucial role in Infor’s cost-saving journey. They utilized AWS services like AWS Lambda and AWS CloudFormation to automate routine tasks. This not only reduced manual intervention but also minimized the risk of human error, leading to consistent and reliable cost optimization.

Modernization Initiatives

Infor also undertook significant modernization initiatives to optimize their infrastructure. By migrating to serverless architectures and leveraging containerization with Amazon ECS and EKS, they reduced their dependency on traditional, more expensive infrastructure. This shift not only improved their scalability but also contributed to cost reductions.

KeyCore’s Expertise in AWS Cloud Financial Management

KeyCore can help organizations replicate Infor’s success by providing expert guidance and services in Cloud Financial Management. With a deep understanding of AWS services and best practices, KeyCore can assist in implementing effective cost management strategies, automation, and modernization initiatives to optimize cloud spend and achieve significant savings.

For more information on how KeyCore can assist with AWS Cloud Financial Management, visit KeyCore’s official website.

Read the full blog posts from AWS

• How Infor saved $2 million with effective CFM strategies

AWS for Games Blog

Read the full blog posts from AWS

• Launching Ghostbusters: Rise of the Ghost Lord – How nDreams scale tested with AWS Fargate

AWS Training and Certification Blog

Read the full blog posts from AWS

• New courses and certification updates from AWS Training and Certification in August 2024
• Closing the cloud skills gap for SMBs: How AWS Distributors are driving adoption and outcomes

Microsoft Workloads on AWS

Combining AWS Managed Microsoft AD with One Identity Active Roles can streamline identity management and accelerate AWS workload implementations. Many organizations rely on Microsoft Active Directory (AD) for managing identities and access controls. Extending this infrastructure to the cloud is increasingly becoming a common goal.

Why Extend AD Infrastructure to AWS?

Extending AD infrastructure to AWS allows organizations to maintain their existing identity management systems while leveraging the scalability, security, and flexibility of the cloud. AWS Managed Microsoft AD simplifies this process by providing a fully managed AD service in the AWS Cloud.

Benefits of Using AWS Directory Service

AWS Directory Service integrates with AWS Managed Microsoft AD to provide seamless identity management. This integration helps in reducing the overhead of managing on-premises AD infrastructure. It also enhances security by incorporating AWS’s robust security measures.

Streamlining with One Identity Active Roles

One Identity Active Roles further enhances the identity management capabilities by providing advanced features such as automated group management, policy enforcement, and role-based access. This combination simplifies the administrative tasks and provides a more efficient and secure identity management solution.

Business Value

By leveraging AWS Managed Microsoft AD and One Identity Active Roles, businesses can achieve significant operational efficiencies. It reduces the time and resources required to manage identity infrastructure, lowers the risk of security breaches, and enhances overall productivity.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, specializes in both professional and managed services. They offer expert guidance in setting up and optimizing AWS Managed Microsoft AD and One Identity Active Roles. With KeyCore’s expertise, organizations can ensure a seamless transition to cloud-based identity management, maximizing efficiency and security.

Visit KeyCore for more information on how they can assist in streamlining identity management with AWS Directory Service and One Identity Active Roles.

Read the full blog posts from AWS

• Streamline Identity Management with AWS Directory Service and One Identity Active Roles

Official Big Data Blog of Amazon Web Services

Zero Copy data sharing between Salesforce Data Cloud and Amazon Redshift allows for unified analytics without the need for complex ETL pipelines. This series showcases how analytics teams can access customer 360 data from Salesforce Data Cloud within Amazon Redshift, enabling insights on unified data.

Part 1: Same AWS Region Data Sharing
In the first part, the focus is on data sharing between Salesforce Data Cloud and customers’ AWS accounts within the same AWS Region. This method simplifies the data-sharing process and reduces data movement overhead, facilitating seamless data access and integration.

Part 2: Cross-Region Data Sharing
The second part of the series, though not detailed here, covers the complexities and solutions for sharing data across different AWS Regions, ensuring robust architecture for global data access strategies.

For detailed technical implementation, this series provides an in-depth guide on configuring and managing these data-sharing capabilities.

Tracking and allocating Amazon EMR on EC2 costs to end-users is crucial for effective cost management. This post introduces a chargeback model that assigns the costs of Amazon EMR to different jobs, teams, or business units.

Cost Allocation

The model described helps in distributing costs across various business units, making it easier to monitor the return on investment for Spark-based workloads. By attributing costs correctly, businesses can gain insights into their spending patterns and optimize resource usage accordingly.

This approach ensures that every team or business unit is accountable for their resource consumption, aiding in more efficient financial management and planning.

Copying and masking Personally Identifiable Information (PII) between Amazon RDS databases is made easy using AWS Glue Studio, which provides a visual ETL job setup.

Multi-Account Environment

This post guides users in preparing a multi-account environment to access databases from AWS Glue, ensuring secure and efficient data handling.

ETL Data Flow Modeling

The tutorial walks through modeling an ETL data flow that automatically masks PII during the data transfer process. This ensures that sensitive information is not copied to the target database in its original form, enhancing data security and compliance.

Using Amazon EMR 7.1 runtime for Apache Spark and Iceberg can significantly enhance performance for Spark workloads. The blog explores the advantages of this runtime compared to running workloads with open-source Spark 3.5.1 on Iceberg tables.

Performance Benchmarks

Amazon EMR demonstrates a performance improvement, running TPC-DS benchmarks 2.7 times faster than the open-source alternatives. This highlights the efficiency and scalability benefits of using Amazon EMR for large-scale analytic workloads.

For businesses looking to optimize their Spark workloads, leveraging Amazon EMR’s runtime offers substantial performance gains and cost efficiencies.

KeyCore can assist in implementing these solutions, ensuring seamless integration and optimization within your AWS environment. Our expertise in AWS services enables us to provide tailored strategies and support for your unique business needs.

Professional and Managed Services

Our professional services can guide you through the setup of Zero Copy data sharing, cost attribution models, PII masking with AWS Glue Studio, and optimizing Spark workloads on Amazon EMR.

With KeyCore’s managed services, we ensure your AWS environment runs efficiently, securely, and cost-effectively, allowing you to focus on your core business objectives. Contact us to learn how we can support your AWS initiatives.

Read the full blog posts from AWS

• Harness Zero Copy data sharing from Salesforce Data Cloud to Amazon Redshift for Unified Analytics – Part 1
• Attribute Amazon EMR on EC2 costs to your end-users
• Copy and mask PII between Amazon RDS databases using visual ETL jobs in AWS Glue Studio
• Amazon EMR 7.1 runtime for Apache Spark and Iceberg can run Spark workloads 2.7 times faster than Apache Spark 3.5.1 and Iceberg 1.5.2

Networking & Content Delivery

Druva, a leading SaaS provider for cloud data protection and management, utilizes AWS PrivateLink to ensure secure data transfers between its customers and Druva’s virtual private cloud (VPC). AWS PrivateLink provides private connectivity, enhancing security by establishing connections between VPCs, Amazon hosted services, and on-premises networks through VPC endpoints. This setup ensures that data transfers remain within the AWS network, reducing exposure to the public internet and potential security risks.

For application owners using WordPress, securing and accelerating content delivery is crucial. Leveraging Amazon CloudFront, AWS WAF, and edge functions can significantly enhance the performance and security of WordPress sites. Amazon CloudFront, a global content delivery network (CDN), ensures low-latency content delivery. AWS WAF, a web application firewall, protects against common web exploits and attacks. Edge functions provide dynamic content processing at the edge locations, closer to users, thus enhancing the overall user experience.

How Druva Uses AWS PrivateLink for Secure Cloud Data Transfers

Druva implemented AWS PrivateLink to establish private connectivity for data transfers. AWS PrivateLink integrates with Amazon VPC, allowing connections to hosted services and on-premises networks via VPC endpoints. This architecture ensures that data never traverses the public internet, minimizing security risks and enhancing privacy.

PrivateLink also simplifies network management by eliminating the need for complex VPN configurations or managing public IPs. This solution aligns with compliance requirements and provides a scalable way to handle secure data transfers across various regions.

Secure and Accelerate Your WordPress CMS with Amazon CloudFront, AWS WAF, and Edge Functions

WordPress, the leading CMS platform, benefits immensely from integrating with Amazon CloudFront, AWS WAF, and edge functions. Using CloudFront as a CDN, website owners can ensure that their content is delivered swiftly and reliably to users across the globe. CloudFront caches content at edge locations, reducing latency and improving load times.

AWS WAF bolsters security by providing protection against common threats such as SQL injection and cross-site scripting (XSS). It allows for the creation of custom rules to mitigate specific vulnerabilities, ensuring that WordPress sites remain secure.

Edge functions enable dynamic content processing at edge locations, which means that personalized content can be served faster. This reduces the load on the origin server and enhances the user experience by delivering customized content more efficiently.

KeyCore’s Expertise

KeyCore offers comprehensive solutions to leverage AWS services, enhancing security and performance for your applications. Whether it’s implementing AWS PrivateLink for secure data transfers or optimizing WordPress with CloudFront, AWS WAF, and edge functions, KeyCore provides expert guidance and managed services to meet your needs. By partnering with KeyCore, you can ensure that your cloud infrastructure is secure, scalable, and optimized for peak performance.

Read the full blog posts from AWS

• How Druva uses AWS PrivateLink for Secure Cloud Data Transfers
• Secure and accelerate your WordPress CMS with Amazon CloudFront, AWS WAF, and edge functions

AWS Compute Blog

Efficient message processing is crucial when handling large data volumes. By employing batching, distribution, and parallelization techniques, you can optimize the utilization of resources allocated to your AWS Lambda function. Discover how to implement parallel data processing within the Lambda function handler to maximize performance and efficiency.

Implementing Parallel Data Processing in AWS Lambda

Processing large data volumes efficiently in AWS Lambda involves leveraging parallelization. By breaking down the data into smaller batches and distributing processing tasks, Lambda can handle higher workloads more effectively. This technique ensures that the allocated resources are used optimally, leading to faster and more efficient data handling.

Optimizing Resource Utilization

The core idea is to divide large data sets into manageable chunks. Each chunk is processed in parallel by multiple Lambda function instances. This method not only speeds up processing times but also ensures that Lambda’s execution environment resources are fully utilized. Properly implementing this can significantly improve the throughput of your serverless applications.

Maximizing Performance

To achieve the best performance, carefully consider factors like optimal batch size and number of parallel executions. AWS provides tools and metrics to monitor and adjust these parameters dynamically. By fine-tuning, organizations can achieve the desired balance between performance and cost.

For those needing more detailed guidance, refer to the AWS Lambda Best Practices documentation.

Maintaining robust data security in AWS Step Functions is achievable by using a customer-managed AWS KMS key. This ensures complete control over the encryption keys used to protect data in Step Functions. Only authorized principals, such as IAM roles, users, or groups, can access these keys, thereby fortifying your security posture.

Enhancing Security with AWS KMS Key

AWS Step Functions allows the use of customer-managed AWS KMS keys to encrypt data. This capability gives organizations the power to control their encryption keys completely. By managing and rotating these keys, businesses can maintain stringent data security standards.

Controlled Access

With a customer-managed AWS KMS key, administrators can define specific IAM roles, users, or groups that are permitted to use the keys. This prevents unauthorized access and ensures that only trusted entities can decrypt sensitive information. It’s a critical feature for organizations with strict compliance and security requirements.

Implementing Security Best Practices

To implement this, configure your Step Functions to use a customer-managed key through the AWS Management Console or CLI. Detailed guidance is available in the AWS Step Functions Security Best Practices documentation.

KeyCore can assist organizations in optimizing their AWS Lambda functions and securing their Step Functions processes. Our expert team provides tailored solutions and managed services to enhance your AWS infrastructure. Contact KeyCore for professional guidance and support.

Read the full blog posts from AWS

• Efficiently processing batched data using parallelization in AWS Lambda
• Strengthening data security in AWS Step Functions with a customer-managed AWS KMS key

AWS for M&E Blog

PGA TOUR has taken a significant step forward in enhancing fan engagement by automating play-by-play commentary using Amazon Bedrock. Leveraging the power of generative AI, this innovative approach provides real-time, contextualized commentary that is broadcasted across multiple channels and in various languages. This not only increases the accessibility of the commentary but also ensures a consistent and high-quality experience for fans worldwide.

Real-time AI Commentary

Amazon Bedrock’s generative AI capabilities allow PGA TOUR to produce detailed and engaging commentary instantly. The AI analyzes live game data and generates accurate and contextually relevant descriptions of the play. This automation frees up human commentators to focus on more analytical and in-depth insights, thereby enriching the overall broadcast experience.

Multi-channel and Multilingual Support

The system’s ability to support multiple channels and languages ensures that a broader audience can enjoy the content. Whether fans are watching on TV, mobile apps, or social media, they receive the same level of detailed commentary. Additionally, translating the commentary into multiple languages helps PGA TOUR reach an even wider international audience, enhancing global engagement.

Integrating Datazoom’s video data platform with Amazon CloudFront has proven to be a game-changer for video operations. This collaboration, detailed by Kerry Travilla, VP Technology at Datazoom, demonstrates how to achieve comprehensive observability of video player and CDN performance data. By collecting and correlating client-side player data with CDN performance metrics, organizations can gain real-time insights into their video operations, significantly improving the time to resolve issues.

Real-time Monitoring

The integration enables real-time monitoring of client-side data, providing a clear view of how video content is being consumed. This level of insight allows for quick identification and resolution of any performance issues, ensuring a smooth and uninterrupted viewing experience for users.

Enhanced Video Operations

By correlating video player data with CDN performance metrics, video operations teams can more effectively pinpoint the root causes of any disruptions. This capability reduces the time to resolution, minimizing downtime and enhancing the overall quality of service. The result is a more reliable video delivery, leading to higher customer satisfaction and retention.

How KeyCore Can Help

At KeyCore, we specialize in leveraging AWS technologies to enhance operational efficiency and customer engagement. Our expertise in implementing solutions like Amazon Bedrock and Amazon CloudFront allows us to provide tailored, high-impact strategies for your organization. Whether it’s automating commentary for live events or optimizing video delivery, KeyCore can help you harness the full potential of AWS. Contact us today to learn how we can support your journey towards innovation and excellence.

Read the full blog posts from AWS

• PGA TOUR automates play-by-play commentary with Amazon Bedrock
• Enhancing video operations with Datazoom and Amazon CloudFront

AWS Storage Blog

Securing Your Amazon FSx for ONTAP Windows Share (SMB) Against Viruses: Organizations desire to securely store and access their data while adhering to security best practices by deploying and enforcing various policies. This includes using antivirus programs to scan and disinfect data both at rest and on-access to align with various compliance standards. Since the release of Amazon FSx for NetApp ONTAP, many customers have been migrating their data to this service. This blog post explores how to effectively secure Amazon FSx for ONTAP Windows Shares against viruses.

Importance of Antivirus Programs

Antivirus programs play a pivotal role in securing data from malicious threats. They scan files, detect viruses, and disinfect infected files to ensure data integrity. For Amazon FSx for ONTAP, integrating antivirus solutions can help meet compliance standards and protect sensitive information.

Implementation Strategies

Implementing antivirus solutions with Amazon FSx for ONTAP involves configuring policies that enforce real-time scanning and periodic scans for data at rest. This setup ensures continuous protection and minimal disruption to data accessibility. Additionally, defining clear access controls and monitoring for anomalies can further enhance security.

KeyCore’s Expertise

KeyCore can assist organizations in deploying robust antivirus solutions tailored to Amazon FSx for ONTAP. Our expertise ensures the correct configuration and seamless integration of security policies, helping clients achieve compliance and data protection goals effectively.

A Guide to Budgeting for AWS Backup in VMware Virtual Environments: As VMware customers navigate the imperative to modernize their virtual environments, the need for reliable and cost-effective data protection has become paramount. Traditionally, evaluating data protection solutions has involved intricate calculations around software licensing, storage costs, and operational expenses. AWS Backup offers VMware customers a simpler, more transparent path forward by eliminating upfront software fees and providing a clear cost structure.

Simplifying Cost Calculations

AWS Backup simplifies budgeting by eliminating the need for upfront software fees. This transparency makes it easier for organizations to predict and manage their data protection costs. Additionally, AWS Backup allows users to pay only for what they use, thus optimizing expenditure.

Cost-Effective Data Protection

By using AWS Backup, VMware environments benefit from a centralized, policy-driven data protection solution. It integrates seamlessly with existing infrastructure, reducing the need for additional software and hardware investments. This integration ensures data is backed up efficiently and restored quickly when needed.

KeyCore’s Expertise

KeyCore can help VMware customers design and implement AWS Backup solutions that fit their specific needs. Our team offers insights into cost management and helps clients create resilient data protection strategies that align with their budget and operational requirements.

Designing Sustainable Disaster Recovery Strategies: Disaster recovery (DR) is a crucial component of business resilience. It defines the process of preparing for and recovering from a disaster. Events that cause serious negative impacts on a business can be considered disasters. The response to these unforeseen events typically involves a tradeoff between the cost of the solution and the level of protection required.

Understanding Disaster Recovery

Disaster recovery involves planning and implementing processes to ensure business continuity in the event of a disaster. This planning includes identifying critical systems, defining recovery time objectives (RTO), and recovery point objectives (RPO) to minimize downtime and data loss.

Sustainable Strategies

Designing sustainable DR strategies means balancing costs with the desired level of protection. Cloud-based DR solutions, such as AWS Disaster Recovery, offer scalable, cost-effective options. These solutions provide rapid recovery capabilities and reduce the dependency on physical infrastructure.

KeyCore’s Expertise

KeyCore specializes in developing tailored disaster recovery strategies that leverage AWS technologies. Our team ensures that clients achieve the optimal balance between cost and protection, helping organizations maintain business continuity and resilience in the face of unexpected disruptions.

Read the full blog posts from AWS

• Securing your Amazon FSx for ONTAP Windows Share (SMB) against Viruses
• A guide to budgeting for AWS Backup in VMware virtual environments
• Designing sustainable disaster recovery strategies

AWS Developer Tools Blog

KeyCore proudly presents a concise summary of the upcoming major version 5 of AWS Tools for PowerShell. This new version brings significant updates and improvements that will benefit AWS PowerShell users in various ways.

Overview of AWS Tools for PowerShell

Currently, AWS Tools for PowerShell is on version 4, which is built on the AWS SDK for .NET V3. This version has successfully served users by providing a robust set of cmdlets to interact with AWS services directly from PowerShell. However, as AWS services evolve, it’s crucial for tools like these to keep pace with advancements and new features.

What’s New in Version 5

Version 5 of AWS Tools for PowerShell introduces significant improvements that enhance user experience and functionality. One of the major changes is the underlying update to the AWS SDK for .NET V3.5. This update ensures compatibility with the latest AWS services and features, offering more stability and performance optimizations.

Moreover, the new version includes updated cmdlets and improved error messages, making it easier for users to debug and resolve issues. These enhancements are designed to provide a more streamlined and efficient workflow for developers and system administrators using PowerShell to manage AWS resources.

Transition and Compatibility

Transitioning to version 5 should be straightforward for most users. The AWS PowerShell team has worked diligently to maintain compatibility with existing scripts, minimizing disruptions during the upgrade. However, it is recommended to review the updated documentation and test scripts in a staging environment before deploying them in production.

This careful attention to backward compatibility ensures that users can adopt the new version without significant rewrites or modifications to their existing automation scripts.

How KeyCore Can Help

KeyCore, as the leading Danish AWS Consultancy, can assist your organization in smoothly transitioning to the new AWS Tools for PowerShell version 5. Our highly advanced team can provide professional services to review and optimize your PowerShell scripts, ensuring they are fully compatible with the latest version. Additionally, our managed services can offer ongoing support and maintenance, freeing up your resources to focus on core business activities. Contact KeyCore today to leverage our expertise in AWS and PowerShell for a seamless upgrade experience.

Read the full blog posts from AWS

• Notice of upcoming major version 5 of AWS Tools for PowerShell

AWS Partner Network (APN) Blog

Impetus’ Amazon MSK Solution for Scalable Data Processing

Impetus Technologies successfully migrated a client’s Kafka cluster to Amazon Managed Streaming for Apache Kafka (Amazon MSK). This move reduced the client’s operational overhead by 40% and enhanced system stability. The migration allowed the client to handle data surges more effectively, eliminate processing outages and message loss, and benefit from the high availability and security features of Amazon MSK.

Benefits of Migration

The migration to Amazon MSK resulted in significant operational improvements. By leveraging Amazon MSK, the client’s Kafka environment was streamlined, making it easier to manage and more resilient. Operational overhead was reduced by 40%, freeing up resources for other critical tasks.

Enhanced System Stability

System stability was significantly enhanced, addressing previous challenges related to data surges and outages. With Amazon MSK, the client experienced zero message loss and improved data processing reliability.

High Availability and Security

Amazon MSK offers robust high availability and security features, which were instrumental in ensuring the client’s data was always available and secure. This migration unlocked the full potential of Amazon MSK, allowing the client to leverage cutting-edge technology for scalable data processing.

IBM Digital KYC on AWS uses Generative AI to Transform Client Onboarding and KYC Operations

IBM and AWS have collaborated to transform client onboarding and Know Your Customer (KYC) operations using generative AI. This innovative solution addresses the challenges financial institutions face in today’s digital world.

Transforming Onboarding Processes

Generative AI is utilized to streamline and enhance the client onboarding process. This technology helps institutions reduce the time and effort required to onboard new customers, improving overall customer experience and operational efficiency.

Improving KYC Operations

Generative AI also plays a crucial role in improving KYC operations. By automating and enhancing these processes, financial institutions can more effectively manage compliance requirements and reduce the risk of financial crimes.

Collaboration Between IBM and AWS

This collaboration between IBM and AWS brings together deep expertise in financial crime prevention and advanced AI technologies. Together, they provide a robust solution that addresses the evolving needs of financial institutions in the digital era.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, can assist businesses in leveraging these advanced AWS solutions. Whether migrating to Amazon MSK for scalable data processing or implementing generative AI for client onboarding and KYC operations, KeyCore offers expert guidance and support. Our professional and managed services ensure seamless integration and optimal performance, helping organizations unlock the full potential of AWS technologies.

Read the full blog posts from AWS

• Impetus’ Amazon MSK Solution for Scalable Data Processing
• IBM Digital KYC on AWS uses Generative AI to transform Client Onboarding and KYC Operations

AWS Cloud Enterprise Strategy Blog

Read the full blog posts from AWS

• The Power of a Question Mark

AWS Cloud Operations & Migrations Blog

How KeyCore Can Help

KeyCore, the leading Danish AWS Consultancy, offers expert guidance on leveraging AWS’s observability platforms, disaster recovery solutions, and Systems Manager Quick Setup. Our professional and managed services ensure that your AWS environment is optimized for performance, resilience, and operational efficiency. Learn more about how KeyCore can assist your organization in achieving its AWS goals by visiting KeyCore.

Read the full blog posts from AWS

• AWS named as a Challenger in the 2024 Gartner Magic Quadrant for Observability Platforms
• How Merck Automated AWS Elastic Disaster Recovery Initialization and Monitoring
• Deploy AWS Systems Manager Quick Setup programmatically across your AWS Organization

AWS for Industries

Manufacturing innovation is transforming how products and machines are created and used. At IMTS 2024, AWS will showcase how to build smart, connected products that engage customers, delight users, and generate new revenue streams. Companies face challenges ensuring their applications are secure, can handle fleet data, and scale appropriately. Additionally, they must have visibility into product usage to improve performance and customer satisfaction.

Smart, Connected Products

Creating a smart, connected product involves integrating IoT devices, cloud computing, and advanced analytics. AWS IoT services provide the tools to connect devices, gather data, and analyze it in real-time. This data allows manufacturers to understand how their products are used, which features are most valuable, and where improvements can be made.

Customer Engagement and Revenue Streams

Smart products enable new customer engagement models. For example, manufacturers can offer predictive maintenance services, which notify customers when a machine needs servicing before it fails. This not only improves customer satisfaction but also opens up new revenue streams through service subscriptions or premium support packages.

Security and Scalability

Security is paramount when dealing with connected devices and customer data. AWS provides robust security features, including encryption and access control, to protect data. These applications can scale up or down based on demand, ensuring optimal performance and cost-efficiency.

The insurance industry is rapidly evolving, with companies seeking innovative ways to streamline operations and enhance customer experiences. One major advancement is the automation of insurance claims processing using AWS services like Amazon Bedrock, Knowledge Base, and Agents.

Automated Claims Processing

Automating claims processing reduces manual effort, speeds up claim resolutions, and improves accuracy. Amazon Bedrock with Generative AI enables the operation of Large Language Models (LLMs) that can understand and process claims data. This automation helps in extracting information from documents, assessing claim validity, and even detecting fraud.

Knowledge Base and Agents

Using AWS’s Knowledge Base, insurance companies can store and retrieve vast amounts of information quickly. Agents powered by AI can assist in decision-making by providing relevant information and recommendations based on the latest data. This ensures that customers receive timely and accurate responses to their queries.

Exceptional Customer Experiences

Streamlined processes lead to faster claim resolutions, which greatly improves customer satisfaction. Automation allows employees to focus on more complex tasks, enhancing overall efficiency and effectiveness within the company.

How KeyCore Can Help

KeyCore is equipped to assist companies in the manufacturing and insurance industries to leverage AWS services for innovation and efficiency. From developing smart, connected products to automating claims processing, KeyCore offers expertise in integrating AWS solutions tailored to specific industry needs. With extensive knowledge in AWS security, scalability, and AI technologies, KeyCore ensures that businesses can achieve their goals while maintaining high standards of performance and customer satisfaction.

Read the full blog posts from AWS

• Experience manufacturing innovation with AWS at IMTS 2024
• Automated Insurance claims processing using Amazon Bedrock, Knowledge Base, and Agents

AWS Marketplace

In today’s regulatory landscape, organizations often need to comply with multiple frameworks. Thoropass, available on AWS Marketplace, provides a robust solution to streamline multi-framework compliance, reducing the complexity and effort involved.

Streamlining Compliance

Thoropass helps organizations manage compliance requirements across various frameworks such as SOC 2, ISO 27001, GDPR, and HIPAA. By centralizing compliance efforts, Thoropass reduces the need for duplicative processes. This integrated approach ensures that required controls are in place and can be audited efficiently.

Automated Compliance Workflows

Thoropass offers automated workflows that simplify the process of tracking and maintaining compliance. These workflows guide users through compliance tasks, ensuring nothing is overlooked. Automated reminders and alerts help keep teams on track, reducing the risk of non-compliance.

Comprehensive Reporting and Dashboards

The solution provides detailed reports and interactive dashboards, giving stakeholders real-time visibility into compliance status. This transparency helps in making informed decisions and demonstrating compliance to auditors and regulatory bodies.

Integration with AWS

Thoropass seamlessly integrates with AWS services, leveraging the scalability and security of the AWS cloud. This integration ensures that compliance measures are aligned with AWS best practices, enhancing the overall security posture of the organization.

Business Value

By using Thoropass on AWS, organizations can achieve significant cost savings and operational efficiencies. The solution reduces the need for manual compliance management, freeing up resources to focus on core business activities. Moreover, the improved compliance posture can enhance customer trust and support business growth.

How KeyCore Can Help

KeyCore offers expert guidance and support for integrating Thoropass into your AWS environment. Our team of AWS-certified professionals can help tailor the solution to meet your specific compliance needs, ensuring a seamless implementation. With KeyCore’s managed services, you can maintain ongoing compliance effortlessly, allowing you to focus on strategic initiatives.

Learn more about how KeyCore can assist your organization by visiting https://www.keycore.dk.

Read the full blog posts from AWS

• One audit, multiple frameworks: Streamline multi-framework compliance with Thoropass on AWS

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

In the realm of AWS security, identity, and compliance, recent developments have introduced several significant advancements. These updates encompass cross-region replication for card payment keys, ISO and CSA STAR certification additions, and the latest SOC reports.

Automatically Replicate Your Card Payment Keys Across AWS Regions

Online transactions are an inseparable part of today’s digital landscape, necessitating robust security measures for card payment keys. AWS Payment Cryptography offers a cross-Region replication (CRR) solution that ensures these keys are securely transported and stored. This solution leverages AWS’s advanced cryptographic capabilities to maintain the integrity and confidentiality of card payment data. Businesses can enhance their security posture and compliance by implementing cross-Region replication, ensuring data availability and resilience across multiple AWS Regions.

2024 ISO and CSA STAR Certificates Now Available with Three Additional Services

AWS has achieved a significant milestone by completing an onboarding audit for various ISO standards and the CSA STAR Cloud Controls Matrix (CCM) v4.0 without any findings. Conducted by Ernst and Young CertifyPoint auditors, this audit resulted in the reissuance of certificates on July 22, 2024. The certifications now include ISO 9001:2015, 27001:2022, 27017:2015, 27018:2019, 27701:2019, 20000-1:2018, and 22301:2019. These certifications attest to AWS’s commitment to maintaining high standards in quality management, information security, cloud security, and privacy. By expanding the certification scope, AWS enhances customer confidence in their platform’s security and compliance capabilities.

Summer 2024 SOC Report Now Available with 177 Services in Scope

AWS has expanded its assurance programs, announcing the availability of the Summer 2024 System and Organization Controls (SOC) 1 report. This report covers 177 services over the period from July 1, 2023, to June 30, 2024. The comprehensive coverage ensures that customers can rely on consistent security and compliance over the entire reporting year. With an increasing number of services under scope, AWS demonstrates its ongoing commitment to transparency and stringent security standards, providing customers with the assurance they need to trust the AWS platform for their critical business applications.

How KeyCore Can Help

At KeyCore, we specialize in leveraging AWS’s latest security, identity, and compliance innovations to enhance your business operations. Our expert consultants can assist with implementing cross-Region replication for card payment keys, ensuring compliance with the latest ISO and CSA STAR standards, and understanding the implications of SOC reports for your organization. Contact KeyCore today to learn how we can tailor AWS’s advanced capabilities to meet your specific security and compliance requirements.

Read the full blog posts from AWS

• Automatically replicate your card payment keys across AWS Regions
• 2024 ISO and CSA STAR certificates now available with three additional services
• Summer 2024 SOC report now available with 177 services in scope

Front-End Web & Mobile

Recently, AWS Amplify introduced exciting new features for Amplify Functions, which bolster the serverless capabilities of developers. These features include scheduling support with cron and natural language, as well as log streaming capabilities.

Scheduling Support with Cron and Natural Language

One of the standout additions is the scheduling support, allowing developers to set up automated tasks using cron expressions or natural language. This functionality is incredibly useful for tasks that need to run at specific intervals, such as data backups, report generation, or scheduled maintenance. By integrating cron scheduling, developers can configure these tasks right from their code, reducing complexity and improving efficiency.

Log Streaming Capabilities

The new log streaming feature enhances debugging and monitoring. Execution logs from Amplify Functions can now be streamed in real-time, providing immediate insights into the function’s behavior and performance. This real-time monitoring is crucial for identifying issues quickly and ensuring that applications run smoothly. Developers can use these logs to track execution flow, debug errors, and optimize performance.

Benefits for Developers

With these new features, AWS Amplify continues to empower developers to build and iterate quickly. The ability to schedule tasks and stream logs in real-time means developers can focus on writing business logic without worrying about the underlying infrastructure. This leads to faster development cycles and more robust applications.

How KeyCore Can Help

KeyCore, as the leading Danish AWS consultancy, specializes in leveraging AWS Amplify to its fullest potential. Our experts can assist in integrating these new features into current projects, optimizing serverless architecture, and ensuring seamless deployment processes. Whether it’s setting up automated tasks or enhancing application monitoring, KeyCore provides the expertise to harness the full power of AWS Amplify Functions.

For more detailed information and technical guidance on Amplify Functions, visit the AWS Amplify documentation for Functions.

Read the full blog posts from AWS

• New features for Amplify Functions: Scheduling and Log Streaming

AWS Contact Center

Building a more sustainable contact center with Amazon Connect:

By leveraging AWS’s efficient infrastructure, renewable energy, and optimizing resource utilization, organizations can significantly reduce their contact center operations’ carbon footprint. AWS provides a platform where contact centers can operate on energy-efficient systems, reducing overall energy consumption. Additionally, AWS’s commitment to using renewable energy sources further aids in creating a more sustainable environment. Organizations using Amazon Connect can monitor their resource usage and optimize it to ensure minimal waste and maximum efficiency.

Scale your contact center effectively with Amazon Connect and Service Quotas:

As Amazon Connect workloads grow, customers need visibility into quotas to manage scaling efficiently and prevent service disruptions. The integration of Amazon Connect with Service Quotas helps in improved management of these service quotas. Service Quotas acts as a centralized hub for streamlined quota management and tracking. This integration allows organizations to receive alerts and insights into their quota usage, helping them to scale their contact centers seamlessly without interruption. By monitoring quota limits and usage, businesses can ensure continuous operation and avoid failed deployments due to exceeded limits.

Read the full blog posts from AWS

• Building a more sustainable contact center with Amazon Connect
• Scale your contact center effectively with Amazon Connect and Service Quotas

Innovating in the Public Sector

Earlier this month, for the first time, the IMAGINE: Nonprofit conference was hosted in Australia in Melbourne, Sydney, and Brisbane. This event brought together leaders, technologists, and mission-driven innovators in the nonprofit sector to learn, connect, and inspire. Over the three days, attendees explored the ways technology helps nonprofits make a positive impact around the world. Read this post to learn about some of the top moments from IMAGINE: Nonprofit Australia.

Top Moments from IMAGINE: Nonprofit Australia

The IMAGINE: Nonprofit conference in Australia featured a series of insightful sessions and keynotes. These sessions delved into the transformative power of technology in the nonprofit sector. Attendees had the opportunity to engage with AWS experts and explore best practices in leveraging cloud solutions for mission-driven work. Key themes included data-driven decision-making, cybersecurity, and digital transformation strategies tailored for nonprofits.

Networking and Collaboration

The conference provided a platform for nonprofit leaders to network and collaborate. Participants shared their experiences and challenges, fostering a community of support and innovation. The event emphasized the importance of partnerships and collective efforts in driving meaningful change. By the end of the conference, many attendees left with new connections and actionable insights to enhance their organizational impact.

Editorial Médica Panamericana is a leading biomedical publisher with more than 2,500 titles across 23 Spanish-speaking countries. Their 25,000-plus authors have developed trusted and world-class content for more than 70 years. Médica Panamericana, in partnership with BinPar, is constantly innovating to provide its readers the best possible experience. For example, Médica Panamericana recently applied generative artificial intelligence (AI) from Amazon Web Services (AWS) to its exam preparation resource, PROMIR. Read this post to learn more.

Innovation in Exam Preparation

Médica Panamericana’s use of AWS generative AI in their PROMIR exam preparation resource marks a significant advancement. The AI-powered solution personalizes study plans, adapts to users’ learning paces, and provides insights into their performance. This innovation enhances the learning experience, making it more efficient and effective for students preparing for medical exams. The application of AWS AI technologies demonstrates the potential for AI to revolutionize educational resources in the biomedical field.

Transit authorities have to maintain the location and schedule of large numbers of vehicle fleets on a daily basis. Most commonly, GPS coordinates are used to track vehicle location and transportation route. GPS coordinates often have anomalies that can contaminate location reporting. Additionally, if a vehicle takes a detour, it will offset public transportation schedules. Both cases impact the riders negatively. Keeping track and getting notified is a challenge. In this post, we look into an anomaly detection mechanism for public transportation using Amazon Web Services (AWS) offerings.

Detecting Route Deviations and Anomalies

Amazon Timestream and Amazon Location Service offer robust solutions for detecting transportation route deviations and anomalies. By leveraging these services, transit authorities can monitor real-time vehicle locations and identify irregularities in their routes. This proactive approach helps in maintaining accurate schedules and improving the rider experience. The integration of these AWS services ensures reliable location tracking and timely notifications for any deviations, enhancing overall operational efficiency in public transportation.

Credit unions play a crucial role in communities by providing a diverse range of financial services driven by their members’ needs. These services, supported by core banking applications, form the backbone of credit union operations. Traditionally, credit unions use legacy systems for their core banking applications, such as lending, payments, and deposits. But these systems are monolithic, expensive, and lack open architecture, impacting credit unions’ abilities to deploy changes based on market demands. In this digital age, cloud computing offers a transformative solution, and as we will explain in this post, Amazon Web Services (AWS) stands at the forefront.

Transforming Core Banking with AWS

Credit unions can significantly benefit from migrating their core banking applications to the AWS Cloud. AWS provides a scalable, cost-effective, and secure cloud infrastructure that addresses the limitations of legacy systems. By embracing AWS, credit unions can modernize their operations, enhance service offerings, and respond swiftly to market demands. The shift to cloud computing enables credit unions to leverage advanced technologies such as machine learning, data analytics, and artificial intelligence, driving innovation and improving member services.

Business Value of Cloud Transformation

The transformation of core banking systems through AWS not only optimizes operational efficiency but also provides strategic advantages. Credit unions can achieve greater agility, reduce IT costs, and enhance cybersecurity measures. Additionally, the open architecture of cloud-based solutions facilitates seamless integration with third-party services, expanding the range of financial products and services available to members. This digital transformation positions credit unions to better serve their communities and thrive in a competitive financial landscape.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance and support in leveraging AWS technologies for various sectors. From nonprofits to education and public transportation to financial services, KeyCore helps organizations harness the power of AWS to drive innovation and achieve their goals. Our professional services include cloud strategy development, migration planning, and implementation, while our managed services ensure ongoing optimization and support. Partner with KeyCore to transform your operations and maximize the potential of AWS solutions.

Read the full blog posts from AWS

• What you missed at the first Australian IMAGINE: Nonprofit conference
• Médica Panamericana revolutionizes medical exam prep with AWS generative AI
• Using Amazon Timestream and Amazon Location Service to detect transportation route deviations and anomalies
• Elevating credit unions: Transforming core banking on the AWS Cloud

The Internet of Things on AWS – Official Blog

Water meters are essential devices found in residential homes and large-scale production plants. They play a crucial role in monitoring water consumption and detecting leaks. With global water shortages becoming more frequent, preventing water loss has never been more critical. It’s estimated that 30% of water flowing through pipes is lost due to leaks, primarily because of aging infrastructure. AWS offers cutting-edge IoT solutions to address these challenges effectively.

Introduction to Connected Utility Solutions

AWS IoT provides a comprehensive suite of services to enhance the management of water and gas metering systems. These solutions enable real-time data collection, monitoring, and analytics, helping utilities rapidly identify and address leaks. By integrating AWS IoT with existing metering systems, utilities can significantly improve their operational efficiency and reduce water loss.

Key Features of AWS IoT for Water and Gas Metering

AWS IoT offers several critical features designed to optimize water and gas metering, including:

• Scalable Data Collection: Efficiently gather vast amounts of data from numerous meters distributed across various locations.
• Real-Time Monitoring: Continuously monitor water and gas consumption, allowing for the immediate detection of anomalies.
• Advanced Analytics: Utilize AWS analytics tools to process and analyze data, providing insights into consumption patterns and potential leaks.
• Secure Connectivity: Ensure secure and reliable communication between devices and the AWS cloud.

Business Value of AWS IoT Solutions

Implementing AWS IoT solutions for water and gas metering offers several business benefits, such as:

• Reduced Operational Costs: Minimize the costs associated with water loss and infrastructure maintenance through proactive leak detection and efficient resource management.
• Enhanced Customer Satisfaction: Provide more accurate billing and improved service reliability by leveraging real-time data and analytics.
• Sustainability: Contribute to global water conservation efforts by reducing unnecessary water loss and promoting efficient resource utilization.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, is uniquely positioned to assist organizations in leveraging AWS IoT solutions for water and gas metering. Our team of AWS experts can provide comprehensive professional and managed services, from initial consultancy and implementation to ongoing support and optimization. KeyCore ensures that your utility solutions are tailored to meet your specific needs, maximizing efficiency and delivering substantial business value.

Ready to optimize your water and gas metering systems with AWS IoT? Contact KeyCore today to get started.

Read the full blog posts from AWS

• Connected utility solutions for water and gas metering with AWS IoT