Summary of AWS blogs for the week of monday Mon Jun 02

In the week of Mon Jun 02 2025 AWS published 85 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Amazon Q Developer has significantly enhanced its offerings for developers by integrating advanced AI models and intelligent coding assistants into popular development environments. These advancements aim to streamline workflows, enhance productivity, and foster innovation. Below, we explore these updates in detail.

Access Claude Sonnet 4 in Amazon Q Developer CLI

Amazon Q Developer CLI now incorporates Claude Sonnet 4, providing advanced coding and reasoning capabilities. This model excels in agentic coding, achieving a state-of-the-art 72.7% on the SWE-bench. Developers benefit from these capabilities at no additional cost, making it a cost-effective enhancement to development workflows. For detailed metrics and performance, interested readers can refer to the Claude 4 announcement.

General Availability of Amazon Q Developer Plugin for Eclipse

The Amazon Q Developer plugin is now generally available for the Eclipse IDE, following a successful public preview. This integration allows developers to leverage AI-assisted coding features while working in Eclipse 2025-03(4.35.0) and later versions. By embedding these capabilities directly into the IDE, the plugin enhances the developer experience in writing, testing, and maintaining code.

Agentic Coding Experience in Visual Studio and JetBrains IDEs

To alleviate the burden of repetitive tasks, Amazon Q Developer has introduced an agentic coding experience in Visual Studio and JetBrains IDEs. This integration supports tasks such as debugging, writing unit tests, and validating build processes, allowing developers to focus more on innovation and solving complex problems. By enhancing these IDEs with intelligent coding assistants, developers can streamline their workflows and increase productivity.

Amazon Q Developer’s continuous enhancements provide cutting-edge tools that empower developers across various platforms. These innovations not only refine the development process but also contribute to higher productivity and cost efficiency.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, can help organizations leverage these advanced features of Amazon Q Developer. Our expertise in AWS and developer productivity tools enables us to provide customized solutions that integrate seamlessly into your existing workflows. Whether it’s optimizing the use of AI-assisted tools in your IDEs or enhancing coding capabilities with Claude Sonnet 4, KeyCore can support your team in transforming your development processes. Visit our website to learn more about how we can boost your development productivity.

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Official Machine Learning Blog of Amazon Web Services

Build a Serverless Audio Summarization Solution with Amazon Bedrock and Whisper

This article explores the creation of a serverless audio summarization system using the Open AI Whisper foundation model available in the Amazon Bedrock Marketplace. By utilizing Whisper Large V3 Turbo, users can achieve near real-time transcription. These transcriptions undergo further processing through Amazon Bedrock to ensure concise summarization and sensitive information redaction. This innovative approach leverages over 140 models, enhancing accessibility and flexibility for audio data processing needs.

Implement Semantic Video Search with Amazon SageMaker and OpenSearch Serverless

The article demonstrates how to implement semantic video search using large vision models (LVMs) on Amazon SageMaker and Amazon OpenSearch Serverless. It covers techniques like temporal frame smoothing and clustering, enhancing video search performance using natural language and image queries. The piece shows end-to-end functionality using asynchronous and real-time hosting options on SageMaker AI, coupled with the vector engine of Amazon OpenSearch Serverless for low-latency search capabilities.

Multi-Account Support in Amazon SageMaker HyperPod Task Governance

This discussion focuses on enabling multi-account access to a shared Amazon SageMaker HyperPod cluster for running heterogeneous workloads. SageMaker HyperPod task governance facilitates this feature, allowing enterprises to efficiently manage and access resources across multiple accounts, streamlining operations and optimizing resource utilization.

Build a Text-to-SQL Solution with Amazon Nova

Amazon Nova is highlighted as a solution for executing deterministic, schema-specific tasks through Text-to-SQL capabilities. The article evaluates various options for querying data using generative AI and emphasizes the advantages of using Text-to-SQL for precision and reliability in data queries. This foundation model, available in Amazon Bedrock, offers robust solutions for obtaining accurate answers from data.

Modernize Fraud Detection Workflows with Amazon SageMaker

Radial’s journey in optimizing their fraud detection machine learning workflows by migrating to Amazon SageMaker is shared. By modernizing their ML processes, Radial enhances both cost and performance efficiencies, demonstrating the business value of using SageMaker for scalable and efficient fraud detection solutions.

Enhance Contextual Retrieval with Amazon Bedrock Knowledge Bases

The article discusses advancing contextual retrieval by integrating explanatory context to each chunk before generating embeddings. Utilizing Amazon Bedrock Knowledge Bases, this approach enriches vector representations, enabling more accurate retrieval of related content and improving responses to user queries.

Deploy Small Language Models Cost-Efficiently with AWS Graviton and SageMaker AI

This guide illustrates deploying small language models on SageMaker AI using AWS Graviton instances. The detailed implementation steps and a GitHub repository example provide users with the resources needed for cost-efficient model deployment, enhancing accessibility to powerful AI solutions.

Impel Enhances Dealership Experiences with Fine-Tuned LLMs on SageMaker

Impel’s deployment of fine-tuned large language models (LLMs) on Amazon SageMaker is shared, showcasing enhancements in automotive dealership customer experiences. These improvements highlight the potential of LLMs in delivering personalized, efficient, and engaging customer interactions.

Develop Climate Tech Models with SageMaker HyperPod

Climate tech startups are utilizing Amazon SageMaker HyperPod to develop foundational models addressing environmental challenges. This article highlights the processing and analysis of extensive environmental datasets to create models for carbon capture, fuel development, and ecosystem preservation—showcasing the advanced computational capabilities needed for effective environmental solutions.

Optimize Development with Claude Code and Amazon Bedrock Prompt Caching

Combining Claude Code with Amazon Bedrock prompt caching offers a powerful tool for developers, providing fast responses and reduced latency. This optimization reduces inference response time and input token costs, streamlining development workflows effectively.

Unlock Model Context Protocol (MCP) on AWS

With advances in generative AI, language models such as Anthropic’s Claude Opus 4 & Sonnet 4 and Amazon Nova offer sophisticated reasoning and response capabilities. However, the article discusses how these models can be further optimized for performance and efficiency using AWS Model Context Protocol (MCP).

Build a Scalable AI Assistant for Refugees with AWS

Bevar Ukraine’s development of a scalable, multilingual AI assistant for Ukrainian refugees is detailed. By leveraging AWS services, the solution provides automated assistance while ensuring data security and GDPR compliance, offering an essential tool for integration into Danish society.

Boost EV Charging Management with LLM and Amazon Bedrock

Noodoe’s integration of LLMs with Amazon Bedrock optimizes EV charging operations. This article reveals how enhanced station diagnostics, dynamic pricing, and multilingual support reduce downtime, maximize efficiency, and improve sustainability in EV charging management.

Build Intelligent Applications with GraphRAG in Amazon Bedrock

Exploring Graph-based Retrieval-Augmented Generation (GraphRAG) in Amazon Bedrock Knowledge Bases, the post describes building applications with context-aware reasoning. This method surpasses traditional vector search by encoding relationships between entities and allowing large language models to retrieve information efficiently.

Streamline Personalization Development with Automated ML Workflows

This post presents an MLOps solution using AWS CDK and services like AWS Step Functions, Amazon EventBridge, and Amazon Personalize to automate resource provisioning for data preparation, model training, deployment, and monitoring. This automation accelerates the implementation of Amazon Personalize, enhancing personalization strategies.

Fast-Track SOP Processing with Amazon Bedrock

The article explores approaches using Amazon Bedrock to link regulatory changes with internal SOPs for compliance. By identifying these relationships, organizations can efficiently update SOPs to align with new regulations, maintaining compliance effectively and swiftly.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in implementing and optimizing AWS solutions tailored to specific business needs. With our professional and managed services, we support organizations in deploying AWS models efficiently, improving workflows, and achieving their digital transformation goals. Whether it’s enhancing customer experiences, modernizing ML workflows, or building advanced AI solutions, KeyCore provides the strategic guidance and technical support needed to leverage AWS’s full potential.

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Announcements, Updates, and Launches

New AWS Asia Pacific (Taipei) Region

The AWS Asia Pacific (Taipei) Region is now live. This new infrastructure is equipped with three Availability Zones and is identified by the Region code ap-east-2. This expansion marks the first AWS infrastructure presence in Taipei, enhancing service proximity for customers in Taiwan. With this launch, AWS continues to expand its global footprint, ensuring that customers in the Asia Pacific region can benefit from reduced latency and improved service reliability.

AWS API Models on GitHub

AWS now shares daily updates of Smithy API models on GitHub. This initiative enables developers to build custom SDK clients, gain a deeper understanding of AWS API behaviors, and enhance integration with AWS services. By making these resources public, AWS fosters a more collaborative environment where developers can innovate and create tools that align with AWS services.

Price Reduction for EC2 NVIDIA GPU Instances

In response to the high demand for GPU resources, AWS has announced a price reduction of up to 45% for NVIDIA GPU-accelerated EC2 instances. This move makes GPU resources more accessible for generative AI workloads, particularly during a period of GPU shortages across the industry. The reduction aims to empower businesses to leverage advanced computing power without the traditionally high costs.

Introducing the 2025 AWS Heroes Cohort

AWS celebrates its community-driven initiatives by introducing the 2025 AWS Heroes cohort. These individuals are recognized for their exceptional contributions to cloud technology innovation, knowledge-sharing, and community building. From creating scalable solutions to fostering inclusive tech environments, these AWS Heroes embody the spirit of collaboration and advancement in the AWS community.

AWS Weekly Roundup

As AWS Summit Season kicks off, major cities globally host these free in-person events, offering cloud expertise to local communities. The events include keynote presentations on the latest AWS innovations, technical sessions, live demos, and interactive workshops. These summits serve as a platform for AWS experts to engage with the community and showcase the transformative potential of AWS services in various industries.

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Containers

Managing multiple Kubernetes clusters across different AWS Regions and accounts presents significant challenges, especially in maintaining oversight and ensuring governance. To address these complexities, Amazon has developed the Amazon EKS Dashboard. This tool provides a centralized interface for visibility into multi-cluster operations, enabling organizations to efficiently manage their Kubernetes infrastructure.

Enhancing Visibility and Governance

The Amazon EKS Dashboard is designed to streamline the monitoring and governance of Kubernetes clusters. It allows users to easily view the status and health of their clusters, offering insights into resource utilization, workload performance, and cluster configurations. By consolidating information from various clusters into a single dashboard, administrators can quickly identify issues and optimize resource allocations.

Features and Benefits

One of the key features of the Amazon EKS Dashboard is its ability to provide real-time metrics and logs from multiple clusters. This enables teams to conduct comprehensive troubleshooting and performance analysis across different environments. The dashboard also supports compliance and security checks, helping organizations adhere to industry standards and regulations.

Additionally, the dashboard integrates seamlessly with other AWS services, allowing for enhanced operational efficiency and automation. It supports cross-regional and cross-account data aggregation, which is particularly beneficial for organizations with complex, distributed Kubernetes environments.

Business Value

Implementing the Amazon EKS Dashboard can lead to significant operational efficiencies and cost savings. By providing a unified view of all Kubernetes operations, it reduces the need for manual monitoring and intervention. This allows teams to focus on strategic initiatives rather than routine maintenance tasks.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, offers expertise in deploying and managing Amazon EKS environments. Our team can assist organizations in setting up the EKS Dashboard, ensuring seamless integration and optimal performance. We provide tailored solutions to enhance Kubernetes operations, governance, and compliance, helping businesses maximize their AWS investments.

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Official Database Blog of Amazon Web Services

Discover how AWS technologies can transform your database management and streamline operations. Below are insights from recent updates on optimizing database solutions using AWS services.

Real-Time Data Ingestion with AWS DMS and Etleap

Etleap, a recognized AWS Advanced Technology Partner, collaborates with AWS to enhance real-time data ingestion capabilities. By leveraging AWS Database Migration Service (DMS), Etleap enables businesses to efficiently stream data from operational SQL databases into Apache Iceberg tables. This setup facilitates robust change data capture (CDC) from major databases directly into AWS, empowering companies to maintain scalability and real-time analytics. With AWS DMS, organizations gain a configurable solution that ensures seamless data integration and operational efficiency.

Migrating PostgreSQL Databases from Google Cloud to AWS

The process of migrating PostgreSQL databases from Google Cloud SQL to Amazon RDS and Amazon Aurora is streamlined using the pglogical extension. This tool supports PostgreSQL versions 9.4 and higher, and is compatible with RDS and Aurora PostgreSQL starting from version 12. The post provides detailed steps and necessary connection attributes to facilitate a smooth transition. By migrating to AWS, businesses can benefit from enhanced database performance and reliability offered by Amazon’s robust cloud infrastructure.

Upgrading Amazon DynamoDB Global Tables

Amazon DynamoDB offers a serverless NoSQL database service tailored for rapid application performance. The global tables feature allows for data replication across multiple AWS Regions, supporting local reads and writes. It is highly recommended that organizations adopt the Current version to take full advantage of these capabilities. Upgrading ensures optimal performance and enhanced multi-region data availability, contributing to improved disaster recovery and user experience.

Migrating to PostgreSQL with Amazon Bedrock

Organizations looking to modernize their database infrastructure can leverage Amazon Bedrock to streamline migrations from Microsoft SQL Server and Oracle to PostgreSQL. This move not only reduces licensing costs but also introduces the innovative features of PostgreSQL. Amazon Bedrock’s generative AI capabilities aid in converting and testing database code, simplifying the transition process and enhancing system functionality.

Prescription Validation Using Amazon Bedrock and DynamoDB

In the healthcare sector, the integration of Amazon Bedrock with DynamoDB transforms medication management. By utilizing generative AI, healthcare providers can perform natural language searches to validate prescriptions against patient records. This approach enhances the safety and efficacy of treatments by quickly identifying potential drug interactions. The solution demonstrates the power of AI in streamlining complex database queries, offering a responsive and intuitive tool for healthcare professionals.

KeyCore, with its extensive expertise in AWS services, can assist organizations in harnessing these advancements. From database migrations to implementing AI-driven solutions, KeyCore provides tailored support to optimize your AWS environment, ensuring you achieve operational excellence and innovation.

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AWS Cloud Financial Management

In the dynamic world of AWS cloud financial management, several updates have been introduced to enhance cost optimization and financial analysis capabilities. These updates are designed to provide businesses with more precise control and insights into their AWS spending, ultimately driving efficiency and savings.

Expanded Cost Savings with AWS Trusted Advisor

AWS Trusted Advisor has expanded its functionality by integrating 15 new checks from the AWS Cost Optimization Hub. This enhancement answers customer requests for a more consistent cost savings experience and a broader set of recommendations. The integration equips users with actionable insights to better optimize their AWS expenditures. By leveraging these new checks, businesses can streamline their cost management strategies, efficiently focusing on areas with the most potential for savings.

Streamlined Month-Over-Month Cost Analysis

Understanding cost variations as organizations scale their cloud usage can be daunting. AWS Cost Explorer’s new cost comparison feature simplifies this process by providing automated month-over-month cost analysis. This tool allows users to quickly identify and understand the largest cost changes across various dimensions such as services, accounts, and regions. Within seconds, users can gain insights into shifts in usage patterns, changes in discounts, and applied credits, thereby enabling them to explain and address cost fluctuations proactively.

Authenticated AWS Pricing Calculator

The general availability of the authenticated AWS Pricing Calculator in the AWS Billing and Cost Management Console marks a significant advancement. This feature improves the accuracy of cost estimates for both new workloads and existing ones by factoring in eligible discounts and commitment savings. Users can now model cost changes more effectively, whether migrating workloads between regions, modifying existing workloads, or planning for new commitments. This precision in cost estimation aids in making informed financial decisions.

Aurora I/O-Optimized Recommendations with AWS Compute Optimizer

AWS Compute Optimizer now offers recommendations for Amazon Aurora DB clusters, focusing on cost and performance optimization. By analyzing the cost of clusters, the tool identifies opportunities to leverage Aurora I/O-Optimized storage configuration. This approach not only saves costs but also enhances price predictability for I/O-intensive workloads, providing businesses with more stable financial planning for their database operations.

Insights from FinOps X 2025

At the recent FinOps X conference in San Diego, AWS announced several feature enhancements aimed at improving financial operations (FinOps). These updates, derived from in-depth conversations during the event, promise to enhance the day-to-day financial management activities of AWS customers, bringing more clarity and control to their FinOps processes.

In conclusion, these AWS updates significantly bolster the financial management arsenal available to organizations. By adopting these tools and practices, businesses can achieve greater financial efficiency and transparency, ensuring optimal use of their cloud resources.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance on navigating these new AWS features. Whether it’s implementing Trusted Advisor checks, leveraging the Cost Explorer, utilizing the Pricing Calculator, or optimizing Aurora DB clusters, KeyCore provides tailored solutions to help organizations maximize their AWS investments. With extensive experience in AWS, KeyCore is well-equipped to enhance your financial management strategies, ensuring you achieve both cost savings and operational excellence.

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AWS for Games Blog

Amazon GameLift Servers Enhance Unreal Engine 5 Integration

Amazon GameLift has significantly streamlined its integration process with Unreal Engine 5, making it easier for developers to leverage its powerful server solutions. With the latest updates, the Amazon GameLift Servers Plugin for Unreal Engine is now more accessible, supported by open-sourced SDKs that enhance flexibility and innovation. Furthermore, the addition of ARM support broadens compatibility and performance options, catering to diverse development needs.

The improvements extend to Amazon EC2 compatibility, now supporting generation 5-8 instances. This expanded compatibility range offers developers enhanced server functionality and comprehensive workflows directly within the Unreal Engine editor. By focusing on developer needs, Amazon GameLift facilitates efficient and effective game server management, optimizing both development and runtime performance.

Real-Time Event Detection for Sports Trading by SportsCapital

SportsCapital has pioneered a new solution for real-time event detection in sports trading, empowered by AWS technologies. Co-founded by Aaron Riccio and Pravin Santhanam, SportsCapital addresses the challenges faced by sportsbooks in managing odds and mitigating risks from sharp bettors. The industry’s volatility, often influenced by unexpected news such as player injuries or lineup changes, poses significant challenges to maintaining stable market conditions.

To tackle these issues, SportsCapital has developed an innovative approach that integrates AWS services to deliver real-time insights and updates. This solution enables trading teams to respond quickly to market fluctuations, ensuring efficient odds management and risk mitigation. By leveraging AWS’s robust infrastructure, SportsCapital enhances the operational capabilities of sportsbooks, fostering a more dynamic and responsive trading environment.

How KeyCore Can Assist

At KeyCore, we specialize in implementing advanced AWS solutions tailored for the gaming and sports industries. Whether you are looking to streamline your game’s server integration with Unreal Engine or require a robust framework for real-time sports trading management, KeyCore offers both professional and managed services to meet your needs. Our expertise in AWS allows us to provide customized solutions that enhance operational efficiency and drive innovation. For more information on how we can support your project, visit KeyCore’s official website.

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Microsoft Workloads on AWS

Accelerating .NET Modernization with AWS Transform for .NET and CAST

In today’s fast-paced cloud environment, modernizing legacy .NET applications presents both significant opportunities and challenges for enterprises. Modernization allows businesses to transform their application portfolios, but it can be difficult due to limited expertise and resource-heavy processes. AWS Transform for .NET, in collaboration with CAST Highlight, provides a comprehensive solution to these challenges. By leveraging these tools, enterprises can efficiently assess and modernize their .NET applications.

AWS Transform for .NET aids in identifying which applications are ready for modernization and provides a clear pathway forward. CAST Highlight complements this by offering in-depth analysis of the source code, identifying technical debt, and helping prioritize modernization efforts. This combination allows businesses to streamline their modernization journey, ultimately leading to enhanced application performance, reduced costs, and increased agility.

KeyCore can assist enterprises in navigating this modernization process by providing expert guidance and support in utilizing AWS Transform for .NET and CAST Highlight, ensuring a seamless transition to the cloud-native environment.

Persistent Storage with AWS Elastic Beanstalk Windows Deployment

Deploying Windows applications on AWS Elastic Beanstalk often requires persistent storage solutions to maintain flexibility, performance, and security. Amazon FSx for Windows File Server (FSxW) offers a robust solution for this need by providing persistent SMB storage that integrates easily with Elastic Beanstalk deployments.

This integration addresses common challenges related to configuring persistent storage and allows applications to directly access SMB shares. As a result, enterprises benefit from an enhanced deployment model that maintains data integrity and performance while offering the flexibility to scale as business needs evolve.

With KeyCore’s guidance, businesses can effectively implement Amazon FSx for Windows File Server with their AWS Elastic Beanstalk environments, optimizing their storage solutions and ensuring smooth operation.

Automating SQL Server Point-in-Time Recovery Using EBS Snapshots

AWS has introduced a new feature that simplifies SQL Server database recovery by enabling point-in-time recovery through EBS snapshots. This functionality provides a detailed methodology for creating Volume Shadow Copy Service (VSS)-integrated snapshots, allowing for easy restoration of SQL Server databases.

By automating database backups and enabling precise point-in-time restore capabilities, enterprises can reduce the risk of data loss and minimize downtime. This feature is particularly valuable for businesses that require robust disaster recovery solutions for their SQL Server environments.

KeyCore can support enterprises by deploying this new AWS feature, ensuring that they maximize the benefits of automated point-in-time recovery and maintain high availability for their critical data.

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Official Big Data Blog of Amazon Web Services

Simplify Real-Time Analytics with Zero-ETL from Amazon DynamoDB to Amazon SageMaker Lakehouse

At AWS re:Invent 2024, AWS introduced a no-code, zero-ETL integration between Amazon DynamoDB and Amazon SageMaker Lakehouse. This integration simplifies data analytics and AI workflows. It allows organizations to effortlessly set up a zero-ETL process from DynamoDB to a SageMaker Lakehouse environment. Users can streamline real-time analytics by directly connecting their operational data in DynamoDB to the sophisticated analytical capabilities of SageMaker Lakehouse.

Using AWS Glue Data Catalog Views with Apache Spark

This article guides users through creating a Data Catalog view using EMR Serverless. It includes adding SQL dialect for Athena, sharing the view with another account using LF-Tags, and querying the view in the recipient account using a separate EMR Serverless workspace and AWS Glue 5.0 Spark job and Athena. This demonstrates the versatility and cross-account capabilities of Data Catalog views and their integration with various AWS analytics services.

Embracing Event-Driven Architecture with Amazon SageMaker

Event-driven architecture enhances the resiliency of data solutions built on Amazon SageMaker. SageMaker serves as a unified platform for data, analytics, and AI, offering high availability and durability. By leveraging event-driven architecture, businesses can build more robust data solutions, ensuring continuous operations even under challenging conditions.

Introducing Managed Query Results for Amazon Athena

AWS has introduced managed query results for Amazon Athena. This new feature automatically stores, secures, and manages the lifecycle of query result data at no additional cost. It minimizes the effort required for query result management, enabling users to gain insights more efficiently. Managed query results streamline the data analysis process, offering a more seamless experience with Athena.

Centralize Apache Spark Observability on Amazon EMR on EKS

This article demonstrates how to centralize Apache Spark observability using the Spark History Server (SHS) on EMR on EKS. By enhancing SHS with performance monitoring tools such as SparkMeasure and DataFlint, users can achieve comprehensive observability and monitoring of their Spark workloads. This pattern offers a robust solution for monitoring and improving Spark application performance.

Optimize Amazon Redshift Performance with Architecture Patterns

Five architecture patterns are highlighted to optimize Amazon Redshift performance at scale. These patterns leverage features like Amazon Redshift Serverless, data sharing, Redshift Spectrum, zero-ETL integrations, and streaming ingestion. By applying these patterns, businesses can enhance their Redshift data warehouse performance and scalability, ensuring efficient data operations.

Best Practices for Upgrading Amazon MWAA Environments

This article explores best practices for upgrading Amazon MWAA environments. It provides a step-by-step guide for a seamless transition to the latest version of MWAA. By following these practices, users can ensure their environments remain up-to-date and leverage new features and improvements.

Build a Secure Serverless Streaming Pipeline

The article presents a comprehensive solution for building a secure serverless streaming pipeline with Amazon MSK Serverless and EMR Serverless. It focuses on IAM authentication and demonstrates querying processed data using Amazon Athena. This integrated workflow enables near real-time querying and analytics, providing immediate insights into the latest data.

Enhancing Data Durability in Amazon EMR HBase

Users can enhance data durability in Amazon EMR HBase on Amazon S3 by utilizing the new Amazon EMR WAL feature. This article dives deep into the workings of the feature, exploring scenarios where it proves beneficial. The WAL feature significantly improves data durability, ensuring reliable data storage and retrieval.

Powering Global Payout Intelligence with Amazon Redshift Serverless

MassPay has leveraged Amazon Redshift Serverless and zero-ETL to drive deeper analytics in global payout intelligence. The solution reduced data availability latency by 90%, made payments data available for analytics 1.5 times faster, and reduced time-to-insight by 45%. Additionally, there was a 37% reduction in support tickets related to transaction visibility and payment inquiries. This demonstrates the powerful business impact of advanced AWS analytics tools.

How KeyCore Can Assist

KeyCore is the leading AWS consultancy in Denmark, providing both professional and managed services to optimize AWS environments. With expertise in AWS services like SageMaker, Athena, and Redshift, KeyCore helps businesses implement and manage these solutions, ensuring robust data analytics and AI workflows. Whether enhancing resilience with event-driven architecture or optimizing data warehouses, KeyCore’s team provides tailored solutions to meet specific business needs. Visit KeyCore for more information on how they can assist in leveraging AWS technology for your business.

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Networking & Content Delivery

As organizations transition to IPv6, driven by public IPv4 exhaustion and the scarcity of private IPv4 addresses, the imperative to safeguard both IPv4 and IPv6 traffic grows. This transformation is particularly evident in large networks and environments that need to support IPv6-only clients. AWS offers robust solutions to implement security measures that ensure consistent traffic inspection for both inbound and outbound flows within Amazon Virtual Private Clouds (Amazon VPCs).

Securing Dual-Stack Environments

To maintain security in dual-stack environments, where both IPv4 and IPv6 operate concurrently, it is essential to apply uniform inspection mechanisms. AWS allows the deployment of these inspection architectures by leveraging services such as AWS Transit Gateway and AWS Network Firewall. These services can provide a centralized point for managing and inspecting traffic, ensuring a unified security posture across all network layers.

Amazon VPC Traffic Management

With Amazon VPC, companies can design their network infrastructure to accommodate both protocols without compromising security. By using security groups and network ACLs, users can define rules that control traffic flow, while AWS Network Firewall can inspect and filter traffic based on predetermined policies. This comprehensive approach helps in mitigating risks and protecting resources from potential threats.

Business Value of IPv6 Inspection Architectures

Implementing IPv6 internet inspection architectures on AWS offers significant business value. It ensures compliance with emerging IPv6 mandates and enhances the scalability of network resources. Moreover, it positions organizations to effectively manage modern applications’ connectivity needs, thereby future-proofing their network strategies.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, can facilitate the design and deployment of these IPv6 inspection architectures. Our expertise ensures that organizations can seamlessly transition to dual-stack environments, optimizing both security and performance. We provide tailored solutions that align with your specific network requirements, backed by our comprehensive understanding of AWS services.

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AWS Compute Blog

Efficient resource management is a key aspect for organizations aiming to optimize cloud costs, particularly when ensuring seamless access to compute capacity. Amazon EC2 On-Demand Capacity Reservations (ODCRs) offer the flexibility to reserve compute capacity in a specific Availability Zone (AZ) for any duration. The combination of AI-powered insights and ODCRs can significantly enhance an organization’s ability to manage cloud resources effectively.

Leveraging AI for Enhanced Resource Management

Amazon Bedrock Agents provide a powerful tool for gaining actionable insights into ODCR usage across an AWS environment. By analyzing data and offering predictive insights, these agents enable organizations to fine-tune their capacity reservations, ensuring that resources are both available and cost-effective. This AI-driven approach helps in balancing the need for immediate capacity access with long-term cost efficiency.

Business Value of AI-Powered Capacity Insights

Incorporating AI into capacity management strategies allows businesses to optimize their cloud spend while maintaining the operational resilience afforded by ODCRs. Such insights can lead to smarter decisions, ensuring that resources are neither underutilized nor overcommitted, thus striking an optimal balance that maximizes value and efficiency.

Effective routing of API requests is crucial for ensuring seamless user experiences and maintaining API performance. Amazon API Gateway’s new support for dynamic routing rules offers significant enhancements in managing API interactions.

Dynamic Routing Rules with Amazon API Gateway

This capability allows for routing API requests based on HTTP header values, either independently or alongside URL paths. Such flexibility enables developers to implement sophisticated routing strategies without the need to modify API endpoints directly. These strategies include API versioning and gradual rollouts, facilitating smoother transitions and updates.

Business Advantages of Dynamic API Routing

The ability to dynamically route requests enhances an organization’s agility in deploying API changes. It allows for efficient testing, version management, and controlled feature rollouts, ultimately leading to improved service delivery and user satisfaction.

How KeyCore Can Assist

KeyCore stands at the forefront of AWS consultancy, ready to assist organizations in leveraging these advanced AWS capabilities. From implementing AI-driven capacity management solutions to optimizing API routing strategies, KeyCore’s expertise ensures that clients maximize their AWS investments efficiently and effectively. With tailored professional services and comprehensive managed service offerings, KeyCore provides the support needed to harness the full potential of AWS innovations.

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AWS for M&E Blog

Accessibility in media is no longer just an add-on; it has become essential for reaching a broader audience. With the growing importance of accessibility, Amazon Web Services (AWS) is committed to enhancing media accessibility for everyone. While subtitles are widely recognized, accessibility services encompass a more extensive range of solutions that cater to television viewers with varying needs.

Beyond Subtitles: Comprehensive Accessibility Solutions

Subtitles are only a part of the accessibility landscape. AWS provides a suite of services designed to make media content accessible to individuals with disabilities. These services include closed captioning, audio descriptions, and sign language interpretation. Each of these tools ensures that content is not only available but also engaging for all viewers, regardless of their abilities.

Technologies Driving Accessibility

At the heart of AWS’s accessibility efforts are advanced technologies that streamline the delivery of accessible content. AWS Media Services offer reliable and scalable solutions to integrate accessibility features into your media workflows. For instance, AWS Elemental MediaConvert and AWS Elemental MediaLive enable the automatic generation of captions and multi-language audio tracks, simplifying the production of inclusive content.

Business Value of Accessibility

Implementing accessibility services is not only a legal and ethical obligation but also a strategic business decision. By making content accessible, media providers can tap into a larger audience base, including those with disabilities. This inclusivity can lead to increased viewer engagement, customer satisfaction, and, ultimately, business growth. Moreover, accessibility compliance can enhance brand reputation and open up new market opportunities.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, is equipped to assist organizations in implementing accessibility services. With expertise in AWS Media Services, KeyCore can help design, deploy, and manage accessible media solutions, ensuring compliance with regulations and maximizing audience reach. Whether you need assistance with integrating AWS technologies or optimizing your existing workflows, KeyCore provides the expertise to enhance your media accessibility strategy.

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AWS Architecture Blog

Organizations that manage vast archives of audio and video content often grapple with the challenge of extracting valuable insights from their media assets. This complexity is especially prevalent in industries such as broadcasting, where networks might handle thousands of hours of content spread across numerous stations. The potential hurdles include verifying ad placements effectively, pinpointing interview segments, and uncovering programming patterns.

Transforming Media Content with AWS AI Services

Leveraging AWS AI services can revolutionize the way media content is processed and analyzed. By automating the conversion of unstructured media files into formats that can be searched and analyzed, organizations can unlock significant efficiencies and insights. AWS provides a range of tools that can be utilized for this purpose, including Amazon Transcribe to convert speech to text, Amazon Comprehend to derive meaning and insights from text, and Amazon Rekognition to analyze video content.

Efficient Verification and Content Analysis

Through the integration of these services, media-centric businesses can establish systems that streamline the verification of advertisement placements. For instance, by transcribing broadcast content and using natural language processing to identify keywords, organizations can efficiently track and verify the airing of ads. Similarly, AI-driven content analysis can be used to identify and categorize interview segments, making it easier to find and review specific content within extensive archives.

Business Value and Strategic Insights

The implementation of AWS AI services for media analysis not only helps in operational efficiencies but also drives strategic insights. With the ability to analyze programming patterns, networks can better understand audience preferences, optimize scheduling, and improve content strategy. This data-driven approach enables organizations to make informed decisions, enhance viewer engagement, and ultimately increase revenue streams.

How KeyCore Can Assist

KeyCore, as the leading AWS Consultancy, offers unparalleled expertise in deploying AWS AI services to maximize media content value. Our team provides both professional and managed services tailored to your organization’s needs, ensuring seamless integration and optimal use of AWS technologies. Whether it’s setting up initial frameworks or scaling existing systems, KeyCore can guide organizations in transforming their media analysis capabilities to achieve strategic business goals.

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AWS Partner Network (APN) Blog

Introducing New AWS Ambassadors for Q1 2025

The AWS Ambassador Program has expanded its global community by welcoming 19 new AWS experts in the first quarter of 2025. These Ambassadors are technical visionaries who excel in sharing their deep knowledge of AWS services and solutions. They engage in various activities including authoring insightful blogs and whitepapers, delivering dynamic public presentations, and contributing to open source projects. Through social media engagement, conference presentations, workshops, and user group events, AWS Ambassadors promote AWS technologies and encourage peer-to-peer learning.

Role of AWS Ambassadors

AWS Ambassadors play a crucial role in spreading AWS knowledge and expertise. They are leaders who not only understand AWS technologies but also communicate their value effectively. By participating in community-focused activities, these Ambassadors foster a culture of continuous learning and innovation, benefiting the broader AWS community and enabling businesses to leverage AWS for competitive advantage.

Expansion of AWS Partner Programs in May

May saw a significant expansion in the AWS Partner Network as 224 AWS Partners achieved new or renewed specializations. These designations are part of the AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. They cover various workloads, solutions, and industry-specific needs, assisting customers in identifying top-tier AWS Partners capable of achieving their business goals.

Advancing Business Objectives with AWS Partners

Through these Partner programs, AWS ensures its customers have access to highly skilled partners who are committed to their success. These partners are equipped to help businesses harness the broad benefits of AWS, driving innovation and efficiency. This network of specialized partners enables organizations to focus on their core objectives while leveraging AWS expertise to optimize their cloud strategies.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy, can help organizations navigate these AWS programs effectively. With deep expertise in AWS technologies, KeyCore assists clients in identifying the right partners and leveraging AWS services to meet their specific needs. Whether it’s through professional services or managed services, KeyCore ensures businesses can fully capitalize on AWS’s potential, driving growth and achieving strategic objectives.

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AWS HPC Blog

The collaboration between Novo Nordisk, Columbia University, and AWS has led to the development of OpenFold3, a cutting-edge protein structure prediction model. This model utilizes advanced bioinformatics solutions that are both cost-effective and scalable, leveraging the robust capabilities of AWS infrastructure.

Innovative Collaboration

Novo Nordisk, a leader in healthcare, partnered with Columbia University and AWS to tackle the complex challenge of predicting protein structures. This joint effort harnessed AWS’s powerful cloud resources to create OpenFold3, which aims to significantly enhance the accuracy and efficiency of protein modeling.

Advanced Bioinformatics on AWS

OpenFold3 capitalizes on AWS’s high-performance computing (HPC) services that offer unparalleled scalability and cost management. By utilizing AWS’s extensive suite of tools, the team was able to streamline workflows and accelerate the development process. This approach not only cut down on the time required for computations but also reduced overall costs associated with running intensive bioinformatics applications.

Business and Scientific Impact

The development of OpenFold3 represents a significant step forward in the field of computational biology. By making protein structure predictions more accessible and affordable, this model can facilitate groundbreaking research in drug discovery and personalized medicine. Organizations can benefit from faster research cycles and reduced development costs, ultimately leading to more rapid innovations in healthcare solutions.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, can provide expert guidance and support for organizations looking to implement similar solutions. By leveraging KeyCore’s expertise in AWS’s HPC services, businesses can optimize their computing resources and enhance their research capabilities. Whether it’s deploying complex bioinformatics models or scaling existing infrastructure, KeyCore offers professional services to meet diverse needs in the AWS ecosystem.

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AWS Cloud Operations Blog

AWS has introduced a new feature in AWS CloudTrail Lake called Event Enrichment, designed to add business context to AWS activity logs. This enhancement is particularly beneficial for AWS customers who utilize CloudTrail Lake for aggregating and analyzing their AWS activity logs, primarily for security, operational troubleshooting, and compliance purposes. However, when it comes to investigating security incidents or conducting compliance audits, having additional business context is critical.

Understanding Event Enrichment

The new Event Enrichment feature allows customers to layer additional metadata onto their activity logs. This metadata can include information such as which team or project owns the affected resources, or specific properties that are relevant to the customer’s business operations. By enriching event data with business-specific context, organizations can streamline their incident response processes and compliance audits.

Business Value of Enriched Logs

Enriching logs with business context allows for more efficient and effective analysis. Teams can quickly determine the ownership of resources involved in a security event, which facilitates faster resolution times and more accurate compliance reporting. This added layer of information helps bridge the gap between technical data and business operations, enabling better decision-making and resource management.

How KeyCore Can Assist

KeyCore, the leading Danish AWS consultancy, can help organizations leverage AWS CloudTrail Lake’s Event Enrichment feature to its fullest potential. Our expert team can assist in setting up and configuring event enrichment according to business needs, ensuring that the contextual data added is meaningful and actionable. Whether you are looking to enhance your security posture, streamline compliance audits, or improve operational troubleshooting, KeyCore’s professional services can provide the expertise necessary to integrate this new feature into your AWS environment efficiently.

By partnering with KeyCore, businesses can ensure they are not only compliant with industry standards but also optimizing their cloud infrastructure for better security and operational performance. Visit our website to learn more about how we can help your organization harness the power of AWS CloudTrail Lake and Event Enrichment.

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AWS for Industries

Conquering Peak Retail Events with AWS

Retail businesses often rely on peak events to secure a substantial portion of their annual revenue. Key events like Amazon Prime Day, holiday sales, and the globally popular Black Friday-Cyber Monday period are prime opportunities for retailers. In 2023, the National Retail Federation reported a record 200.4 million consumers shopping over the five-day holiday weekend from Thanksgiving Day. During these peak times, AWS provides the scalable infrastructure needed to manage heightened traffic and transactions, ensuring seamless operations without service interruptions. Retailers benefit from AWS’s ability to handle dynamic scaling, which is crucial for maintaining customer satisfaction and driving sales during these critical periods.

Scaling Backtesting for Algorithmic Trading with AWS and Coiled

In the realm of algorithmic trading, backtesting is essential for developing predictive models that anticipate market trends using historical data. Quantitative trading firms employ tools like XGBoost for this purpose, but the computational intensity of training these models can be a bottleneck, especially with large datasets. AWS, in collaboration with Coiled, offers a solution that allows firms to distribute these workloads efficiently, leveraging cloud resources to scale their backtesting processes. This approach not only optimizes performance but also accelerates the time-to-results, giving trading firms a competitive edge in the fast-paced financial markets.

Smarter Operations and Faster Decisions in Energy: Enabled by a Cloud-Based Historian

The power industry faces unique challenges in modernizing data infrastructure due to strict cybersecurity requirements, data residency rules, and the necessity for real-time reliability. Energy systems are typically hybrid, composed of a diverse array of OEMs, protocols, and on-premises infrastructure. A cloud-based historian on AWS enables smarter operations by centralizing data from disparate sources, improving accessibility and decision-making speed. By using AWS, energy companies can overcome the limitations of traditional on-premises solutions and fully leverage modern data analytics capabilities to enhance operational efficiency and reliability.

Highlights from the 2025 AWS Life Sciences Symposium’s Clinical Trials Track

The 2025 AWS Life Sciences Symposium attracted over 1,000 leaders from more than 400 life sciences organizations, focusing on “Building for Breakthroughs: AI-powered Innovations Transforming the Pharmaceutical Value Chain.” The symposium featured 26 sessions with 39 expert speakers discussing the integration of AI to accelerate drug development and improve clinical trials. Insights shared demonstrated how AWS services can streamline data processes, enhance collaboration, and enable rapid innovation in clinical research, ultimately contributing to improved patient outcomes and faster time-to-market for new therapies.

Using AWS to Satisfy Carbon Reporting Requirements

With the urgency to mitigate climate change, reduce carbon emissions, and protect ecosystems, AWS plays a pivotal role in helping organizations meet carbon reporting requirements. Amazon’s commitment to The Climate Pledge, with goals of reaching net zero carbon by 2040, underscores the importance of sustainability. AWS offers tools and services that enable businesses to track, manage, and report their carbon footprints effectively. By leveraging these AWS solutions, companies can ensure compliance with environmental regulations, align with global sustainability goals, and contribute to a more sustainable future.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to guide businesses through these diverse industry challenges. Our expertise in AWS technologies allows us to provide tailored solutions for retail businesses aiming to optimize peak event performance, trading firms seeking to enhance backtesting capabilities, and energy companies striving for smarter operations. We also offer strategic guidance for life sciences organizations adopting AI to transform clinical trials and support companies in achieving their carbon reduction objectives. By partnering with KeyCore, businesses can leverage AWS’s full potential to drive innovation and sustainability in their operations.

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AWS Messaging Blog

Amazon Simple Email Service (SES) has introduced a new tool – the SESv2 Model Context Protocol (MCP) Server, now available as a sample on GitHub. This innovative development invites both current and potential users to explore its capabilities in non-production settings, particularly in combination with AI agents.

Introduction to the SESv2 MCP Server

The SESv2 MCP Server is designed to simplify interactions with Amazon SES by leveraging AI tools such as the Amazon Q CLI. This integration allows users to extract detailed information about their SES accounts, configure settings, and send test emails efficiently, even if they lack deep technical knowledge of email systems or Amazon SES.

Example Use Cases

One of the primary benefits of the SESv2 MCP Server is its ability to streamline operations through AI integration. For instance, users can use the server to automate the retrieval of account information, simplifying the management of SES configurations and ensuring setups are completed accurately. Furthermore, the MCP Server can facilitate the process of sending test emails, providing a hands-on method for users to validate their configurations without manual intervention.

Business Value and Benefits

The SESv2 MCP Server represents a significant advancement for businesses looking to enhance their email management strategies. By reducing the need for specialized expertise, organizations can optimize their resource allocation, focusing their technical personnel on more critical tasks. This approach not only saves time but also reduces the operational overhead associated with email service management.

How KeyCore Can Help

KeyCore offers expert guidance and support for organizations looking to integrate the SESv2 MCP Server into their email operations. With a deep understanding of AWS services and AI integration, KeyCore can assist in customizing the MCP server to meet specific business needs, ensuring seamless implementation and operational efficiency. Whether businesses are just starting with Amazon SES or looking to enhance their existing setups, KeyCore provides the necessary expertise to maximize the potential of the SESv2 MCP Server.

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AWS Marketplace

AWS Marketplace sellers offering Software-as-a-Service (SaaS) solutions often face challenges in providing seamless access to their products for buyers. This guide will explore three primary access options for sellers to consider when designing and building access mechanisms for their SaaS solutions listed on AWS Marketplace.

Access Option 1: AWS Single Sign-On (SSO)

One effective approach is leveraging AWS Single Sign-On (SSO), which allows users to access their SaaS applications using a single set of credentials. This option simplifies the user experience and enhances security by reducing password-related vulnerabilities. Implementing AWS SSO can streamline user management, as administrators can manage access at scale using AWS Identity and Access Management (IAM) roles and policies.

Access Option 2: API Gateway and Lambda Authorizers

Another common method involves using API Gateway and Lambda authorizers. This combination allows sellers to create APIs that serve as secure entry points to their SaaS applications. Lambda authorizers can validate tokens or credentials, ensuring that only authorized users gain access. This option provides fine-grained access control and can be customized to fit specific business requirements.

Access Option 3: Amazon Cognito

Amazon Cognito offers a robust option for user authentication. It supports user sign-up, sign-in, and access control, making it ideal for SaaS applications that need to manage a large number of users. With Cognito, sellers can integrate with social identity providers, such as Google or Facebook, to provide a seamless user experience. Additionally, Cognito supports multi-factor authentication (MFA) for enhanced security.

Implementing Best Practices

When choosing the right access option, it is crucial for sellers to consider scalability, security, and user experience. Leveraging AWS best practices ensures that the chosen solution not only meets current needs but is also future-proof. Thorough testing and integration with existing AWS services can enhance the overall effectiveness of the access mechanism.

How KeyCore Can Assist

KeyCore provides expert guidance and implementation services for AWS Marketplace sellers. With deep expertise in AWS technologies, KeyCore can help design, develop, and optimize SaaS access mechanisms tailored to specific business needs. Leveraging KeyCore’s professional services ensures that sellers can efficiently manage user access while maintaining high security standards.

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

Amazon Web Services (AWS) has recently achieved a significant milestone by completing an onboarding audit for numerous ISO and CSA STAR certificates, encompassing a range of standards such as ISO 9001:2015, 27001:2022, and others. This audit was performed by EY CertifyPoint auditors, who issued the certificates on May 26, 2025. These certifications underscore AWS’s commitment to maintaining high standards of security and compliance across its services, now extended to include three new regions. The audit’s primary objective was to ensure AWS adherence to these global standards, reinforcing trust with clients and stakeholders. By achieving these certifications, AWS continues to provide a secure environment for its customers, aligning with international compliance requirements.

In another update, AWS has introduced the capability for on-demand rotation of symmetric encryption keys within AWS Key Management Service (AWS KMS). This feature applies to keys with imported key material of external origin, allowing users to rotate the cryptographic key material without altering the key identifier. Key rotation is a fundamental security practice that helps organizations meet compliance obligations and enhance data protection strategies. With this functionality, AWS enables users to maintain the integrity and confidentiality of their data, supporting the ever-evolving security needs of businesses across industries.

The RSA Conference 2025 was a major event, attracting a global audience of 44,000 attendees, including 730 speakers and 650 exhibitors. Held at the Moscone Center in San Francisco, the conference featured a diverse range of keynote presentations from figures like NBA Hall of Famer Earvin “Magic” Johnson to esteemed personalities from both public and private sectors. The event highlighted the importance of cybersecurity community collaboration and showcased the latest innovations and strategies in the field. Key themes included the integration of diverse voices into cybersecurity discourse, the importance of public-private partnerships, and the continuous evolution of security technologies.

AWS has also demonstrated advancements in access management by integrating just-in-time privileged access with Microsoft Entra and AWS IAM Identity Center. This approach is crucial for controlling access to sensitive resources, minimizing direct human interaction through automation, and ensuring secure temporary elevated access when necessary. By implementing these measures, AWS enhances security and compliance, reducing potential exposure to threats. This integration assists organizations in managing access privileges efficiently, aligning with best practices for identity and access management.

The AWS re:Inforce 2025 security conference promises to provide comprehensive insights into data protection. Although advanced seat reservations are unavailable this year, AWS remains committed to delivering cutting-edge security content. The conference will cover various aspects of data protection, reinforcing AWS’s dedication to making security its top priority. Attendees can expect in-depth sessions that explore emerging trends and solutions in data protection, equipping professionals with the knowledge and tools to bolster their security posture effectively.

KeyCore, as a leading AWS consultancy, is well-positioned to help organizations navigate these new developments. With expertise in AWS security and compliance, KeyCore can assist businesses in achieving ISO certifications, implementing key rotation strategies, and enhancing access management. Their tailored services ensure that organizations meet their security and compliance objectives efficiently. By partnering with KeyCore, businesses can leverage advanced AWS capabilities, ensuring a robust and secure cloud environment.

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Innovating in the Public Sector

AWS Health Data & AI Day Dublin 2025: EHDS Implementation and Healthcare Innovation

On June 24, 2025, AWS will host healthcare professionals at their Dublin offices for the AWS Health Data & AI Day. This event focuses on the European Health Data Space (EHDS) and the pioneering role of artificial intelligence (AI) in revolutionizing healthcare. By bringing together leading healthcare figures and technical experts, the event explores how secure and standardized data sharing can enhance healthcare delivery and patient outcomes throughout Europe. Participants will gain insights into how interoperable systems and AI can drive transformations in the sector.

ZTAG-I: A Reference Zero Trust Architecture for the US Federal Government

AWS introduces the Zero Trust Accelerator for Government – Integrated (ZTAG-I), designed to align with federal zero trust protocols. The ZTAG-I serves as a comprehensive reference architecture that aids the swift adoption of zero trust principles. It showcases a fully integrated tech stack that addresses significant challenges faced during zero trust implementation. Public sector organizations can leverage ZTAG-I to streamline their transition to more secure, zero trust environments.

Detect and Investigate Amazon EC2 Malware with Amazon GuardDuty and Amazon Detective

This post describes how organizations can utilize Amazon GuardDuty for advanced malware detection in Amazon EC2 instances. By employing Amazon Detective, teams can gain detailed insights into security events, enabling them to take targeted action. After identifying the malware and understanding the threat, guided remediation steps help in resolving the compromised EC2 instances, maintaining the integrity of the AWS environment.

Modernizing Mission-Critical Oracle E-Business Suite on AWS

For government agencies considering a shift from traditional Oracle Real Application Clusters (RAC) deployments, AWS offers robust alternatives while ensuring mission-critical availability. This blog elaborates on strategies for evaluating and implementing these AWS alternatives, showcasing how such migrations can lead to optimized and resilient Oracle E-Business Suite operations.

Build a Secure AWS Foundation in Under 60 Minutes

This guide details the steps for public sector organizations to establish a secure multi-account AWS environment swiftly. By employing AWS Control Tower, AWS IAM Identity Center, and AWS Organizations, users can set up a foundational environment. Further security configurations using AWS Config, AWS Security Hub, and Amazon GuardDuty ensure the environment adheres to best practices and remains secure against potential threats.

AWS Recognized by GovRAMP

AWS has achieved notable recognition by being listed on the GovRAMP webpage, under the Federal JAB Attestation category for AWS GovCloud (US) (High) and AWS US East/West (Moderate) regions. This inclusion underscores AWS’s commitment to maintaining high standards of security and compliance, thereby supporting governmental cloud adoption and data management.

Enhancing Public Safety Operations with Amazon Bedrock

In enhancing public safety, AWS presents a solution leveraging an Amazon Bedrock Agent to manage noise complaints. This solution acts as a smart interface connecting citizens with computer-aided dispatch (CAD) systems, improving responsiveness and operational efficiency in public safety services.

Customizing Isolated JupyterLab Environments in Amazon SageMaker Studio

This post highlights how to bolster security and compliance in SageMaker JupyterLab environments by implementing specific customizations. By configuring download restrictions and securing Python package installations with AWS CodeArtifact, users can create isolated environments that adhere to stringent security standards while facilitating productive development workflows.

Building Machine Learning Operations Framework with Amazon SageMaker: Technical Safety BC’s Journey

Technical Safety BC (TSBC) has developed an MLOps solution using AWS tools to enhance the management and training of production models. This implementation aims to efficiently handle public safety inquiries and regulatory processes, demonstrating the value of AWS in operational efficiency and regulatory compliance.

Educating for a Greener Future: Saving the Earth One Migration at a Time with AWS

Migrating to AWS offers educational institutions a path to achieve sustainability goals. By examining the environmental impact of IT operations and understanding carbon emissions, institutions can leverage AWS to reduce their carbon footprint and promote greener practices in academic environments.

Change.org’s Ray-based Recommender on Amazon EKS Increases Petition Signatures by 30%

Change.org’s development of a next-generation recommender system on AWS has significantly boosted engagement by increasing petition signatures by 30%. By leveraging the power of Amazon EKS, they transformed awareness into tangible action, showcasing the potential of AWS in driving meaningful social impact.

AWS Professional Services Collaborates with NOAA and GAMA-1 Technologies

AWS Professional Services has partnered with NOAA’s NESDIS and GAMA-1 Technologies to enhance the NESDIS Common Cloud Framework (NCCF). This collaboration enhances NOAA’s capabilities in managing critical environmental data, ensuring efficient data ingestion, processing, and dissemination, vital for informed decision-making in environmental monitoring.

How KeyCore Can Help

KeyCore stands at the forefront of AWS consultancy, ready to assist organizations in the public sector to harness AWS’s full potential. Whether it’s implementing zero trust architectures, migrating mission-critical applications, or enhancing environmental data management, KeyCore provides expert guidance and tailored solutions. With an emphasis on security, compliance, and operational efficiency, KeyCore ensures that public sector organizations can achieve their technological and strategic objectives on AWS seamlessly.

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The Internet of Things on AWS – Official Blog

With an anticipated increase in connected cars, expected to exceed 470 million by the end of 2025, the need to protect sensitive vehicle data has become more critical than ever. Vehicle Identification Numbers (VINs), which serve as unique identifiers in various automotive processes like manufacturing and maintenance, are particularly vulnerable to cyber threats. This necessitates robust security measures to safeguard such data.

Understanding the Threats

VINs are not just random sequences; they hold significant importance in the automotive industry. From tracking manufacturing processes to ensuring proper maintenance schedules, they play a crucial role. However, cybercriminals view VINs as valuable targets due to their role as unique identifiers, which can be exploited for unauthorized vehicle access or fraudulent activities.

Implementing Virtual IDs

To address these vulnerabilities, automakers can leverage AWS IoT to enhance the security of VINs by implementing Virtual IDs. These Virtual IDs act as proxies to the real VINs, ensuring that sensitive information remains protected from unauthorized access. By using AWS IoT’s robust security features, automakers can encrypt and securely transmit data, making it difficult for attackers to intercept or manipulate the vehicle information.

The Role of AWS IoT

AWS IoT provides a comprehensive set of tools and services that facilitate secure data management for connected vehicles. Automakers can utilize AWS IoT to monitor and control data access, apply encryption, and establish secure communication channels. This not only safeguards the VINs but also enhances the overall data integrity and privacy of connected vehicle ecosystems.

How KeyCore Can Assist

At KeyCore, we specialize in leveraging AWS solutions to enhance the security and functionality of IoT ecosystems. Our expertise in AWS IoT enables us to assist automakers in implementing Virtual IDs and other advanced security measures to protect sensitive vehicle data effectively. By partnering with KeyCore, businesses can ensure their connected vehicles are protected against cyber threats, while also optimizing their IoT operations for better performance and reliability.

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AWS Open Source Blog

Revolutionizing Microservices with Dapr and Amazon EKS

Microservices and containers have transformed modern application development, deployment, and management in the cloud. While they offer numerous benefits, they also introduce complexities, particularly in handling cross-cutting concerns such as service discovery, state management, and observability. Enter Dapr (Distributed Application Runtime), an open-source runtime designed to simplify microservices development.

Simplifying Development with Dapr

Dapr provides developers with a suite of tools that abstract away common challenges in microservices architectures. By offering a consistent and portable API layer, developers can focus on building business logic rather than worrying about the infrastructure that enables service-to-service communication. Dapr’s sidecar architecture facilitates this by running alongside microservices, thereby enabling seamless integrations for functionalities like service discovery, state management, and telemetry collection.

Leveraging Amazon EKS for Managed Kubernetes

When paired with Amazon Elastic Kubernetes Service (EKS), developers can deploy and manage containerized applications easily, while also taking advantage of Amazon EKS’s robust security, scalability, and availability. EKS, being a fully managed Kubernetes service, allows developers to concentrate on application development while AWS handles the complexities of Kubernetes operations.

Boosting Developer Efficiency

The combination of Dapr and Amazon EKS empowers developers to accelerate their microservices development lifecycle. Dapr reduces the complexity inherent in distributed systems, allowing teams to deploy services efficiently and securely. Meanwhile, Amazon EKS manages the Kubernetes control plane, which further reduces the operational overhead, letting developers innovate rapidly.

How KeyCore Can Assist

KeyCore, as a leading AWS Consultancy in Denmark, offers expertise in deploying and managing microservices and Kubernetes environments. Our professional services can help organizations implement Dapr with Amazon EKS, ensuring optimal configuration and performance. Through our managed services, KeyCore provides ongoing support, enabling your team to focus on delivering business value while we handle the operational complexities. Learn more about how KeyCore can enhance your cloud journey at KeyCore.dk.

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