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

In the week of Mon May 12 2025 AWS published 89 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Enhancements in Amazon Q Developer’s IDE Chat Experience

Amazon Q Developer has introduced new context features that significantly enrich the IDE chat experience. These enhancements include improved context control, chat history, and advanced conversation management features. Users can now manage their interactions more effectively, leading to a more intuitive coding experience. The updates aim to refine the way developers interact within VS Code, enabling them to maintain seamless communication and better control over their coding processes.

These context features support developers in tracking previous conversations, hence allowing for a more transparent workflow. By offering better control over chat history, developers can easily reference past discussions, reducing the need to reiterate or duplicate efforts. This makes the development process more efficient and less prone to misunderstanding or miscommunication. Amazon Q Developer’s latest updates underscore the importance of integrating advanced tools to streamline coding activities, helping developers focus on building effective solutions.

Enhancing Application Resiliency with Amazon Q Developer

Resiliency is a crucial aspect of modern application design, and Amazon Q Developer offers tools to bolster this capability. Inspired by the philosophy that “everything fails, all the time,” developers are encouraged to design applications that gracefully handle failures and quickly recover from disruptions. The goal is to minimize downtime and mitigate the impact of unforeseen events.

Integrating resilience into application architecture involves creating systems that can adapt to changing conditions and recover efficiently. Amazon Q Developer provides resources and frameworks that help developers build these resilient applications. By utilizing these features, businesses can ensure their applications remain reliable and functional, even in the face of unexpected challenges. This proactive approach contributes to maintaining customer satisfaction and trust, as well as safeguarding business operations.

How KeyCore Can Assist

KeyCore, the leading AWS consultancy in Denmark, offers expert guidance and support in leveraging Amazon Q Developer’s features to enhance both developer productivity and application resiliency. Whether through professional services or managed services, KeyCore assists clients in integrating these advanced tools into their development processes. With a deep understanding of AWS and its ecosystem, KeyCore provides tailored solutions that help businesses achieve optimal results in their application development and management endeavors. By partnering with KeyCore, organizations can ensure they are maximizing the potential of Amazon Q Developer to its fullest advantage.

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Official Machine Learning Blog of Amazon Web Services

Setting Up Custom Plugins with Amazon Q Business

Amazon Q Business enables organizations to create custom plugins for backend integration, reducing development time while enhancing system automation. The key advantage is its capability to integrate with both existing and third-party systems seamlessly. Additionally, integrating Amazon Cognito and AWS IAM Identity Center ensures that sensitive data remains secure throughout the automation processes. The automation of critical workflows using these plugins not only enhances efficiency but also ensures data integrity and security.

Detecting Hallucinations in RAG-based Systems

To enhance the reliability of RAG-based applications, AWS offers methods for detecting hallucinations. This involves evaluating different detection methods in terms of accuracy, precision, recall, and cost. The process enables developers to choose the most effective solution for maintaining the integrity of AI outputs, ensuring that applications deliver accurate and reliable results.

Enhancing Pit Stop Analysis for Scuderia Ferrari HP

With AWS machine learning capabilities, Scuderia Ferrari HP has revolutionized their pit stop analysis techniques. By employing machine learning, they can now measure and analyze pit crew efficiency with greater accuracy. This advancement not only optimizes performance but also provides valuable insights into the operational dynamics of pit stops, vital for competitive edge in racing.

Accelerating Edge AI Development with SiMa.ai’s Edgematic

The integration of SiMa.ai’s Palette software with AWS SageMaker opens avenues for rapid edge AI development. By retraining and quantizing models, users can accurately detect individuals in environments where visibility is low and safety compliance is critical. This integration facilitates the deployment of robust AI solutions that prioritize safety and compliance.

Enhancing Visual Information Extraction with Multimodal Models

Apoidea Group, in collaboration with AWS, enhances visual information extraction from banking documents by leveraging multimodal models on SageMaker HyperPod. Utilizing Qwen2-VL-7B-Instruct model fine-tuning, they improve table structure recognition performance, showcasing a step-by-step methodology for maximizing data extraction efficiency in financial sectors.

Building AI Platforms with Amazon SageMaker and Bedrock

Qualtrics, through their collaboration with AWS, successfully built Socrates, an AI platform leveraging Amazon SageMaker and Bedrock. This platform empowers organizations with scalable AI capabilities, providing robust tools for data analysis, processing, and automation, ultimately driving innovation and operational efficiency.

Securing Transport Operations with Vxceed and AWS

Vxceed’s partnership with AWS resulted in the creation of LimoConnect Q, a secure transportation management solution. By harnessing Amazon Bedrock and Lambda, Vxceed developed a system that streamlines trip booking and document processing, significantly enhancing operational efficiency and security.

Cost-effective AI Image Generation on AWS Trainium and Inferentia

This series explores the deployment of PixArt-Sigma on AWS Trainium and Inferentia-powered instances, demonstrating cost-effective AI image generation. By leveraging AWS’s powerful infrastructure, users can run diffusion transformers efficiently, optimizing resource use and reducing costs.

Customizing DeepSeek-R1 671b Model on Amazon SageMaker

Part 2 of the series on customizing DeepSeek-R1 671b model with SageMaker HyperPod focuses on fine-tuning through detailed implementation recipes. Utilizing SageMaker’s training jobs, this approach allows for precise model adaptation, ensuring it meets specific organizational needs.

Creating Intelligent Financial Research Assistants

Amazon Q Business, combined with Amazon QuickSight, augments generative AI capabilities to create financial research assistants. This integration provides enterprises with the ability to generate content, answer questions, and securely complete tasks based on existing enterprise data, enhancing decision-making processes.

Securing Amazon Bedrock Agents

AWS emphasizes security through Amazon Bedrock Agents, offering comprehensive measures to protect AI applications against indirect prompt injections. This ensures the security and reliability of AI interactions, safeguarding sensitive data against potential vulnerabilities.

Building Scalable RAG-based AI Applications with EKS

AWS leverages Amazon EKS with Bedrock for developing scalable RAG-based AI applications. This solution facilitates straightforward, fast, and secure integration of unstructured data, optimizing the deployment of AI applications on AWS infrastructure.

Developing HxGN Alix with AWS Generative AI Services

Hexagon, in partnership with AWS, developed HxGN Alix, an AI-powered digital worker, utilizing generative AI services. This initiative demonstrates how tailored AI solutions enhance user interaction with Enterprise Asset Management (EAM) products, improving efficiency and user satisfaction.

Revolutionizing IT Support with Amazon Q Business

Organizations can revolutionize IT support by implementing Amazon Q Business to handle regular challenges effortlessly. The integration with third-party services like Jira enables automated documentation reviews and support ticket management, reducing operational burdens and enhancing support efficiency.

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Announcements, Updates, and Launches

Amazon Web Services (AWS) continues to innovate and advance its offerings with the launch of new Amazon EC2 P6-B200 instances, specifically designed to enhance AI capabilities. These instances are equipped with NVIDIA Blackwell B200 GPUs and deliver up to twice the performance of the previous generation P5en instances. This translates to significant improvements in machine learning and high-performance computing workloads, propelling AI innovations forward.

AWS CodeBuild introduces a new Docker Server capability, which aims to expedite CI/CD pipelines. With this feature, a dedicated and persistent Docker server is integrated within projects, allowing for a centralized cache. This advancement has demonstrated an impressive 98% reduction in build times, shrinking the duration from 24 minutes to a mere 16 seconds. This improvement is pivotal for developers seeking efficiency and speed in their build processes.

AWS Transform emerges as a powerful tool for organizations looking to modernize legacy workloads, specifically targeting Mainframe and VMware systems. By leveraging agentic AI, AWS Transform automates intricate tasks such as code analysis, refactoring, decomposition, and dependency mapping. This automation significantly reduces project timelines, offering a streamlined path to modernization and allowing organizations to modernize with greater confidence.

In parallel, AWS Transform for .NET provides a specialized service for modernizing .NET applications at scale. This service accelerates the transition from .NET Framework to cross-platform .NET by up to four times. Through agentic AI, modernization teams can undertake larger projects with increased consistency, reducing operating costs by up to 40% and enhancing code quality, performance, and security. This transformation removes dependencies on Windows licenses, presenting a cost-effective solution for organizations.

The AWS Weekly Roundup highlighted substantial infrastructure expansion, including a new Region in South America. AWS continues to expand its global footprint, boasting 36 launched Regions and 114 Availability Zones. This ongoing expansion demonstrates AWS’s commitment to increasing its global reach and infrastructure capabilities, offering more robust options for businesses seeking reliable cloud environments.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, is uniquely positioned to help businesses leverage these new AWS capabilities. Whether enhancing AI workload performance with the latest EC2 instances, optimizing CI/CD pipelines with AWS CodeBuild, or modernizing legacy applications with AWS Transform, KeyCore provides expert guidance and implementation. Our services ensure that organizations can fully capitalize on AWS’s technological advancements, reducing costs and improving operational efficiency.

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Official Database Blog of Amazon Web Services

Amazon DynamoDB Data Modeling for Multi-Tenancy

Defining Access Patterns and Table Design

The first part of the Amazon DynamoDB data modeling series for multi-tenancy focuses on defining access patterns and determining table design. By using a customer issue tracking service as an example, the series aims to highlight critical decision-making areas for creating a multi-tenant data model. Understanding these factors is essential to effectively plan and structure the DynamoDB data model for optimal performance and scalability.

Selecting Partition Key Design and Implementing Access Patterns

In the second installment, the series progresses with selecting a partition key design to create the data schema. The post outlines how to implement access patterns using the AWS Command Line Interface (AWS CLI). This design phase is crucial for ensuring that the data model supports the necessary queries and access patterns efficiently, laying the groundwork for successful multi-tenancy operations.

Validating and Extending the Data Model

The final part of the series delves into validating the chosen data model from both performance and security perspectives. Additionally, it covers strategies for extending the data model to accommodate new access patterns and evolving requirements. This ensures that the data model remains adaptable to future needs while maintaining integrity and security.

Unit Testing Framework for PostgreSQL with pgTAP

The pgTAP extension provides a comprehensive unit testing framework for PostgreSQL databases, enabling developers to write and execute tests directly within the database environment. The post outlines how to leverage pgTAP for unit testing on Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition. Implementing this framework helps in building robust and reliable database applications, ensuring high-quality code and reducing potential errors.

Scaling Amazon RDS for MySQL Performance for Careem

Careem, a leading digital platform in the Middle East, faced significant database performance challenges due to its 270 TB Amazon RDS for MySQL setup. The blog post details how Careem adopted a phased data purging strategy to address issues like increased storage utilization, slow queries, and high replica lag. These strategic improvements significantly enhanced database performance and reduced costs, demonstrating effective scaling practices on AWS infrastructure.

Amazon CloudWatch Database Insights in Real Scenarios

Amazon CloudWatch Database Insights offers a powerful observability solution for Amazon RDS and Amazon Aurora resources. This post illustrates its application in real-world scenarios, highlighting how it accelerates database troubleshooting processes. By providing a tailored experience for DevOps engineers, application developers, and database administrators, Database Insights enhances operational efficiency across database fleets.

Ingesting CSV Data into Amazon DynamoDB with AWS Lambda

The blog post explores a seamless method for ingesting CSV data into Amazon DynamoDB using AWS Lambda and Python. This solution adheres to organizational security requirements and supports infrastructure as code (IaC) for effective table management. The event-driven process enables efficient and secure ingestion of CSV datasets, streamlining data integration workflows in DynamoDB.

At KeyCore, we specialize in AWS professional and managed services, supporting organizations in optimizing their cloud infrastructure and leveraging AWS features to their fullest potential. Whether it’s developing scalable data models in DynamoDB, implementing unit testing frameworks in PostgreSQL, or enhancing RDS performance, KeyCore offers expert guidance and solutions tailored to your business needs. Explore more about our services at KeyCore’s website.

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AWS Cloud Financial Management

In April 2025, AWS introduced a new feature that augments AWS Data Exports with carbon emissions data. This enhancement enables automatic monthly exports of carbon emissions data with detailed granularity by AWS account and region. The data is stored in Amazon Simple Storage Service (S3), providing a centralized repository for emissions data management.

Integration with AWS Organizations

For users employing AWS Organizations, this feature is particularly beneficial. The carbon emissions export feature compiles data from all member accounts linked to the primary management account, delivering comprehensive insights across an organization’s entire AWS infrastructure. This capability allows organizations to monitor their carbon footprint in a collective and efficient manner.

Visualizing Carbon Emissions

Visualizing and analyzing this data is facilitated through the Cloud Intelligence Dashboards (CID), specifically the sustainability-proxy-metrics dashboard. CID enables users to track emissions across multiple AWS organizations and offers the flexibility to create custom visualizations. This functionality includes the ability to drill down into detailed carbon emissions data at the member account level, empowering organizations to identify specific areas for emissions reduction.

Business Value and Environmental Impact

This feature represents a significant advancement for organizations prioritizing sustainability. By providing detailed insights into carbon emissions, businesses can make informed decisions to reduce their environmental impact. The capacity to track, visualize, and analyze emissions data supports corporate sustainability objectives and enhances transparency in reporting to stakeholders.

How KeyCore Can Assist

KeyCore offers extensive expertise in AWS technologies, providing professional and managed services to optimize the use of this new carbon emissions feature. We can assist organizations in configuring the data export processes, integrating with existing AWS setups, and developing tailored visualizations within the Cloud Intelligence Dashboards. KeyCore’s tailored solutions ensure organizations can effectively leverage AWS tools to meet their sustainability goals and achieve operational excellence.

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AWS for Games Blog

Apex Legends Migrates to Amazon GameLift in Record Time

Respawn Entertainment, the creator of Apex Legends, successfully migrated the game’s servers to Amazon GameLift within a mere 10 days. This remarkable feat was achieved without any downtime affecting players, ensuring a seamless transition that maintained the game’s integrity and player experience.

Seamless Integration and Technical Validation

One of the primary objectives for Respawn Entertainment during this migration was to ensure that integration and technical validation processes were executed smoothly. It was crucial that these processes did not disrupt the ongoing development work of the teams or impact the experience for Apex Legends players. Amazon GameLift, a managed service for deploying and operating session-based multiplayer games, provided the necessary infrastructure and support to accomplish these goals effectively.

Partnership with AWS and Code Wizards

Respawn’s success was facilitated through its collaboration with AWS and Code Wizards, an AWS Partner. This partnership allowed Respawn to leverage advanced solutions and expertise in cloud gaming infrastructure, ensuring a swift transition. The AWS team, along with Code Wizards, worked closely with Respawn to tailor the GameLift setup to meet the specific needs of Apex Legends, allowing for a seamless deployment and validation process.

Benefits of Using Amazon GameLift

Amazon GameLift offers several advantages that were pivotal to the success of Apex Legends’ migration. These include scalable server management, reduced operational overhead, and the ability to support high player loads without compromising performance. With GameLift, game developers can focus on enhancing their games rather than managing server infrastructure, which was a significant benefit for Respawn Entertainment.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, specializes in helping businesses migrate and manage their gaming infrastructure on AWS. Our expertise in AWS services, including Amazon GameLift, enables us to support gaming companies in achieving efficient and seamless cloud migrations. Whether it is designing custom solutions or providing ongoing managed services, KeyCore is equipped to support game developers in elevating their gaming experiences. Learn more about how we can assist with AWS gaming services at KeyCore.dk.

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AWS Training and Certification Blog

Maximizing Cloud Practice for Systems Integrators

Systems integrators looking to enhance their cloud practices will find invaluable resources through the AWS Partner Network. This guide is designed to help them discover how to leverage AWS Partner benefits effectively, which is essential for business growth and customer success.

Key Resources for AWS Partners

The AWS Partner Network provides a variety of training resources aimed at different aspects of cloud integration. Key resources include:

  • Co-building Solutions: Learn how to collaborate with AWS to develop innovative solutions that meet customer demands.
  • AWS Marketplace Fundamentals: Understand how to navigate and utilize the AWS Marketplace to expand product offerings.
  • Technical Validation: Gain insights into AWS’s technical validation processes to ensure integration solutions meet high standards.
  • Co-selling Strategies: Discover strategies for joint selling with AWS to increase market reach and drive sales.

Business Growth and Customer Success

By tapping into these resources, systems integrators can enhance their capabilities in delivering AWS solutions. This not only helps in meeting specific client needs but also positions the business for robust growth. Training empowers partners to offer better service, ensuring customer satisfaction and long-term success.

How KeyCore Can Help

At KeyCore, we understand the importance of leveraging AWS Partner Network resources. Our expertise in AWS allows us to guide partners in integrating these resources into their workflows effectively. Whether it’s co-building, utilizing AWS Marketplace, or refining co-selling techniques, KeyCore offers the support necessary to drive business development and maximize the benefits of AWS partnerships.

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Microsoft Workloads on AWS

Running SQL Server Stretch Failover Cluster Instance on Amazon EC2

Explore the implementation of Microsoft SQL Server Failover Cluster Instance (FCI) on Stretch Cluster Replication using Amazon EC2. This approach leverages Amazon Elastic Block Store (EBS) Multi-Attach on io2 volumes combined with Microsoft Windows Server Storage Replica technology. The strategy facilitates a shared storage solution across multiple Availability Zones. By utilizing this setup, organizations can enhance their high availability and disaster recovery strategies for SQL Server workloads on AWS. The use of Stretch Cluster Replication aids in minimizing downtime and data loss, making it a compelling choice for mission-critical applications.

Why Organizations Choose AWS Transform for .NET

AWS Transform for .NET is a powerful tool for modernizing .NET applications at scale. This innovative solution is trusted globally for its ability to enhance speed, scalability, and quality in .NET modernization projects. AWS Transform for .NET introduces an agentic AI experience, revolutionizing how organizations approach application modernization. By leveraging this tool, organizations can efficiently transform their legacy .NET applications, reducing technical debt and unlocking new opportunities for innovation and growth. Key benefits include accelerated transformation timelines, reduced modernization costs, and improved application performance and scalability.

Case Study: The Hartford’s .NET Modernization Journey

The Hartford successfully utilized AWS Transform for .NET to modernize their Skylynx application. Within weeks, they achieved a 30% automated code transformation, setting a robust foundation for broader modernization activities. This case study highlights the challenges faced by organizations with legacy .NET Framework applications, such as licensing costs and scalability issues. By adopting AWS Transform for .NET, The Hartford not only addressed these challenges but also positioned themselves for future innovation and security enhancements. This example underscores the transformative impact AWS solutions can have on enterprise IT landscapes.

Implementing Microsoft Dynamics 365 CE on AWS

Learn from HCLTech’s successful implementation of Microsoft Dynamics 365 Customer Engagement (D365 CE) on the AWS cloud. This case study delves into HCLTech’s consultative approach, emphasizing key considerations like purchase models and licensing optimization. Solutions Architects Karthik Rajan and Anand K Patel offer insights into creating a compliant and cost-effective deployment. By optimizing the implementation process, organizations can achieve significant cost savings while ensuring compliance with industry standards. This success story illustrates the potential of AWS to support complex, enterprise-level CRM solutions, offering scalability and flexibility to meet evolving business needs.

How KeyCore Can Help

KeyCore provides expert guidance and support for organizations looking to leverage AWS for their Microsoft workloads. Our team offers tailored solutions, from implementing SQL Server Failover Clusters and modernizing .NET applications to deploying Microsoft Dynamics 365 on AWS. With our in-depth expertise and comprehensive service offerings, KeyCore ensures that enterprises can maximize the benefits of AWS, driving innovation and achieving their business goals efficiently and effectively. Visit KeyCore to learn more about how we can assist with your AWS transformations.

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Official Big Data Blog of Amazon Web Services

LaunchDarkly’s Migration to Amazon MWAA

LaunchDarkly transitioned from a vendor-managed Apache Airflow setup to Amazon Managed Workflows for Apache Airflow (Amazon MWAA) and Amazon Elastic Container Service (Amazon ECS). This change allowed them to scale their internal analytics platform to handle 14,000 tasks daily, while keeping costs minimal. By leveraging AWS’s infrastructure, LaunchDarkly achieved enhanced efficiency and scalability, which was a significant improvement over their previous setup.

Simplified Data Access with Amazon Redshift and Amazon S3

Amazon Redshift’s integration with Amazon S3 Access Grants simplifies data access for enterprise users. The process allows IAM Identity Center users and groups to obtain S3 permissions seamlessly. The integration facilitates the easy transfer of data between Amazon Redshift and Amazon S3, supporting both data unloading and loading tasks. This setup is particularly beneficial for organizations seeking streamlined data management workflows.

Integrating Apache Spark with Amazon Redshift and AWS Glue

This post explores the use of SageMaker Lakehouse to access Amazon Redshift Managed Storage tables through Apache Spark. By utilizing Iceberg APIs and the Iceberg REST catalog with AWS Glue Data Catalog, users can integrate and manage data efficiently. The solution is compatible with SageMaker Unified Studio, Amazon EMR 7.5.0 and higher, and AWS Glue 5.0, providing a robust framework for advanced data processing.

Efficient OpenSearch Snapshots

Amazon OpenSearch Service has improved snapshot efficiency with a zero-copy, coordination-free approach available from version 2.17 onwards. This enhancement applies to domains in the OpenSearch optimized instance family (OR1, OR2, OM2). These optimizations ensure operational efficiency while maintaining necessary system integrity, leading to better performance and resource management.

Advanced Governance in Amazon SageMaker

New governance capabilities in Amazon SageMaker now include authorization policies for custom asset types. These policies offer organizations detailed control over asset creation and management, aligning usage with business and security requirements. This innovation empowers teams to enforce strict governance measures, ensuring data is handled according to organizational standards.

AppsFlyer’s Data Migration to Amazon EMR Serverless

AppsFlyer migrated their extensive data infrastructure from self-managed Hadoop clusters to Amazon EMR Serverless. This transition highlighted best practices and challenges faced by organizations undertaking similar transformations. The migration showcased the benefits of AWS’s scalable solutions, which facilitate petabyte-scale data processes with reduced complexity and enhanced efficiency.

KeyCore’s Expertise

KeyCore, as a leading AWS consultancy in Denmark, provides expert support for businesses looking to implement and optimize AWS services. Whether it’s migrating to Amazon MWAA, integrating Amazon Redshift and S3, leveraging OpenSearch enhancements, or transitioning to serverless solutions like EMR, KeyCore offers tailored solutions. Their team ensures that organizations can harness AWS’s capabilities to achieve operational excellence and meet business objectives.

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Networking & Content Delivery

CORS Configuration through Amazon CloudFront

Cross-Origin Resource Sharing (CORS) is a critical security feature implemented by web browsers. It controls which web pages or applications can make requests to different domains. Essentially, CORS restricts a web page hosted on one domain from accessing resources hosted on another. By configuring CORS through Amazon CloudFront, developers can manage these requests efficiently. CloudFront acts as a Content Delivery Network (CDN) that not only speeds up the delivery of content but also allows fine-grained control over access permissions. Implementing CORS with CloudFront involves defining HTTP headers that dictate which domains can access resources, thereby enhancing security and performance.

Granular Cost Analysis for Multi-Tenant CloudFront Distributions

Amazon CloudFront, AWS’s native CDN, is essential for reducing latency, improving availability, and securing content delivery. Recently, AWS introduced more formalized support for multi-tenant or shared distributions through SaaS Manager for CloudFront. This advancement allows businesses to perform granular cost analysis on multiple domain deliveries. By leveraging SaaS Manager, users can efficiently manage and allocate costs across different tenants or domains. This feature is particularly useful for organizations that serve multiple clients or have diverse web properties, as it provides clear insights into resource usage and associated expenses.

Performance and Metrics Enhancements for AWS Transit Gateway and Cloud WAN

AWS Transit Gateway and AWS Cloud WAN have received several enhancements to boost performance and monitoring capabilities. Key improvements include Path MTU Discovery (PMTUD) support and Azure-aware Appliance Mode Routing, which enhance the reliability and efficiency of network traffic. Additionally, AWS now offers per-Availability Zone (AZ) CloudWatch Metrics, enabling better tracking of network activities. These advancements also include Service Insertion Operational Enhancement for AWS Cloud WAN, which streamline operations and improve integration with other AWS services. These enhancements ensure that businesses can maintain high network performance and availability.

Amazon Route 53 DNS Service in AWS GovCloud (US) Regions

The Amazon Route 53 authoritative DNS service is now generally available for public hosted zones in AWS GovCloud (US) Regions. This allows organizations to manage DNS for internet-facing applications securely within the GovCloud environment. Users can create and manage public hosted zones, and create alias records that target AWS services. This capability is particularly beneficial for government agencies or organizations operating under strict compliance requirements, as it provides a robust and secure DNS management solution.

How KeyCore Can Help

KeyCore is at the forefront of AWS consulting, offering both professional and managed services. With expertise in AWS networking and content delivery solutions, KeyCore can assist organizations in implementing advanced configurations such as CORS through CloudFront, optimizing cost analysis for multi-tenant environments, and enhancing network performance with AWS Transit Gateway and Cloud WAN. Additionally, KeyCore can support organizations in leveraging Amazon Route 53 DNS services within AWS GovCloud, ensuring secure and compliant DNS management. For more information, visit our website at KeyCore.dk.

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AWS Compute Blog

Powering Hybrid Workloads with Amazon API Gateway

Amazon API Gateway serves as a pivotal component in managing hybrid workloads by acting as a centralized entry point for all incoming API requests. This setup abstracts the complexity between API consumers and backend services, providing centralized control and smoothing traffic management. By routing all traffic through the API Gateway, organizations can enforce authentication, authorization, rate limiting, and other vital security features consistently. The blog post details the process of configuring API Gateway to facilitate secure and efficient access to on-premises resources, ultimately enhancing control and security for hybrid applications.

Securing Amazon S3 Presigned URLs for Serverless Applications

Leveraging Amazon S3 presigned URLs is a robust way to enable secure file uploads to S3 without necessitating direct permissions for every user. This approach is particularly beneficial for serverless applications, where dynamic and scalable access control is crucial. The blog post delves into the security considerations associated with using S3 presigned URLs, providing practical mitigation strategies to enhance system security. By implementing these strategies, serverless developers can offer secure, efficient upload capabilities while maintaining tight control over access permissions.

Enhanced Remote Desktop Experience: Amazon DCV with Amazon Linux 2023

Amazon DCV has become an essential tool for delivering secure, high-performance remote desktop access and application streaming. The integration of Amazon DCV with Amazon Linux 2023 (AL2023) marks a significant enhancement in remote display capabilities. This blog post discusses how these improvements facilitate a more seamless and efficient remote desktop experience, empowering users with better performance and security. The integration of DCV with AL2023 demonstrates AWS’s commitment to advancing remote computing solutions, making it an appealing choice for businesses seeking robust remote access technologies.

How KeyCore Can Assist

KeyCore is adept at harnessing the full potential of AWS services, including Amazon API Gateway, S3 presigned URLs, and Amazon DCV. Our expertise in configuring API Gateway for hybrid workloads ensures seamless integration and enhanced security for your applications. We provide tailored guidance on securing serverless applications with S3 presigned URLs, helping to protect your data and maintain compliance. Moreover, our specialists can assist in deploying Amazon DCV with Amazon Linux 2023, ensuring optimal performance and user satisfaction. Whether through professional services or managed services, KeyCore is committed to delivering value and expertise in all aspects of AWS technology.

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AWS Storage Blog

Using Amazon S3 Express One Zone as a Caching Layer for S3 Standard

Data caching is a crucial strategy for optimizing application performance in today’s data-intensive environments. By using Amazon S3 Express One Zone as a caching layer for S3 Standard, organizations can store frequently accessed data in high-speed storage locations. This approach can significantly reduce access times, optimize the use of compute resources, and enhance overall system responsiveness. Effective caching becomes particularly vital for workloads requiring consistent low latency, such as real-time applications and data analytics. Amazon S3 Express One Zone offers a cost-effective, single Availability Zone storage option, which is ideal for such use cases.

Expediting VMware Migration with Amazon EC2 and Amazon FSx for NetApp ONTAP

Virtualization, particularly VMware, has been a pivotal technology for enhancing operational efficiency and infrastructure management over the last two decades. As the technology landscape evolves, cloud providers like AWS offer advanced hypervisor capabilities that rival traditional on-premises solutions. AWS provides seamless integration with services like Amazon EC2 and Amazon FSx for NetApp ONTAP, which can significantly expedite VMware migrations. The BlueXP workload factory migration advisor simplifies this transition, ensuring minimal disruption and optimal resource utilization. This modernization aligns with the need for scalable, agile cloud solutions that support dynamic business operations.

Understanding Amazon S3 Client-Side Encryption Options

Encryption is fundamental to securing sensitive data both in transit and at rest. Amazon S3 offers client-side encryption options, providing security where data is ingested or created. These options allow organizations to meet specific security requirements beyond server-side encryption, which encrypts data where it’s stored. Client-side encryption empowers users with control over encryption keys and methodologies, enabling them to tailor security measures to their unique needs. This level of customization is particularly beneficial for businesses handling sensitive information or adhering to stringent regulatory standards.

Pendulum’s Enhanced Processing and Cost Efficiency with Amazon S3 Tables

Pendulum, an AI-powered analytics platform, achieves a 6x increase in processing speed and a 40% cost reduction by leveraging Amazon S3 Tables. This platform aggregates and analyzes real-time data from various digital channels, helping organizations with reputation monitoring, crisis detection, and influencer activity tracking. The integration of machine learning enables Pendulum to extract vital insights from multiple sources, providing a comprehensive digital landscape view. By using Amazon S3 Tables, Pendulum optimizes data processing efficiency and reduces operational costs, demonstrating the value of AWS’s scalable storage solutions in driving business performance.

How KeyCore Can Assist

KeyCore can assist organizations in implementing effective caching strategies using Amazon S3 Express One Zone to enhance application performance. Our expertise in cloud migrations ensures a smooth transition to AWS, leveraging tools like BlueXP to streamline the process. For businesses prioritizing data security, KeyCore provides guidance on selecting and implementing the right S3 client-side encryption options. Additionally, we support platforms like Pendulum in optimizing data processing and reducing costs with AWS solutions, ensuring clients maximize their cloud investments. Learn more about our services at KeyCore.dk.

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AWS Architecture Blog

In the realm of AWS Architecture, innovative solutions continue to shape diverse industries. The discussed articles offer insights into revolutionary architectures designed to address specific challenges in agricultural knowledge management and financial monitoring, leveraging advanced AWS technologies.

Enhancing Agricultural Knowledge with Intelligent Digitization

This article explores a cutting-edge reference architecture for agricultural knowledge management. At its core, the solution integrates an intelligent document digitization process. This capability transforms various document types—handwritten notes, scanned documents, and images—into formats that are editable, searchable, and accessible. The technology driving this transformation is Anthropic’s Claude 3, implemented on Amazon Bedrock. By utilizing the advanced vision capabilities of large language models (LLMs), the system efficiently processes a wide array of visual formats. It meticulously preserves the original formatting while extracting essential elements such as text, tables, and images.

Scalable Event-Driven Invoice Processing

The financial sector can significantly benefit from the architecture outlined in this article, which focuses on implementing an event-driven invoice processing system. The proposed Business Event Monitoring System (BEMS) on AWS is designed to manage an impressive scale—handling over 86 million daily events. Key features include near real-time visibility, cross-Region control mechanisms, and automated alerting for events that encounter processing issues. This system is invaluable for organizations seeking to gain business-level insights into event flow or visualize transaction movements in real time. Additionally, downstream services can choose to process and respond to these internal system events, providing flexibility and adaptability in financial monitoring efforts.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is equipped to offer tailored solutions built on these innovative architectures. Our expertise in AWS allows us to implement sophisticated document digitization processes for agricultural management and deploy scalable event-driven systems for financial monitoring. We ensure seamless integration, optimization, and maintenance of these systems to fit your unique business needs, providing you with actionable insights and enhanced operational efficiency. Discover more about how KeyCore can leverage AWS technologies to empower your organization by visiting our website.

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AWS Partner Network (APN) Blog

Streamline Medical Imaging Workflows with Flywheel on Amazon S3

Integrating Flywheel with Amazon S3 offers healthcare organizations a robust solution for managing medical imaging workflows. This combination allows for efficient management, analysis, and sharing of large imaging datasets, which significantly reduces both costs and preparation time. By leveraging Amazon S3’s scalable storage capabilities, Flywheel helps streamline operations, supporting healthcare providers with a cost-effective and efficient way to handle vast amounts of imaging data.

Accelerating Mainframe Modernization with AWS Transform

The general availability of AWS Transform for mainframe marks a notable advance in mainframe modernization. AWS Partners utilize the service, which employs specialized AI agents, to expedite customer migrations. This service reduces transformation timelines from years to just a few months. It addresses typical modernization challenges related to speed, complexity, and skill gaps, providing a streamlined approach to mainframe transitions.

Transforming IT Operations with BMC HelixGPT on AWS

BMC’s HelixGPT, in combination with AWS, brings transformative capabilities to IT operations. The integration focuses on reducing the Mean Time To Repair (MTTR) and enhancing decision-making processes. Through AI-driven insights and automation, organizations can enhance operational efficiency, thus enabling quicker resolutions to IT issues.

Location Intelligence for Sustainable Transportation on AWS

HERE Technologies, in collaboration with AWS, is revolutionizing sustainable transportation through advanced location intelligence. By implementing location-based solutions on AWS, businesses can optimize fleet operations, reduce emissions, and increase efficiency. The technologies, including smart route optimization and real-time tracking, can lead to up to a 20% reduction in route times, fuel costs, and carbon footprint, aligning with global economic demands.

Shorthills AI Teams with AWS and DataStax for Enterprise Data Search

Shorthills AI, in partnership with AWS and DataStax’s Astra DB, is transforming enterprise data search with advanced technologies. Their collaboration enhances data-driven business decisions using AWS’s enterprise-grade security and DataStax’s high-performance vector search capabilities. This integration supports sophisticated search functionalities with natural language processing, improving the enterprise search experience.

Maximize Marketing Impact with an AI-Driven Composable CDP

Organizations are embracing GrowthLoop’s composable CDP platform on AWS for smarter data activation. A composable CDP integrates easily with existing AWS infrastructure to establish an AI-powered feedback loop. This technology enables smarter campaign activation, providing organizations with enhanced tools for maximizing marketing impact through AI-driven insights.

Building a Veeam Powered Backup as a Service using AWS

Veeam’s Cloud Repository enables service providers to offer seamless off-site backup solutions in the cloud. By deploying a Veeam Cloud Connect server, providers can deliver multi-tenancy and encryption features. This setup in AWS helps protect various workloads, whether virtual, physical, or cloud-based, offering a comprehensive Backup as a Service (BaaS) platform.

Running GenAI Inference with AWS Graviton and Arcee AI Models

With the increasing demand for generative AI applications, efficient compute resources are crucial. AWS Graviton-based instances meet these needs by optimizing GenAI inference workloads. This guide details steps for downloading Arcee AI SLMs, applying quantization techniques, and deploying models on AWS Graviton for efficient inference, supporting the growing GenAI application space.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers expertise across all these areas. Whether it’s enhancing healthcare data management with Flywheel and Amazon S3 or accelerating mainframe modernization with AWS Transform, KeyCore provides tailored solutions. From optimizing IT operations with BMC HelixGPT to facilitating sustainable transport with AWS and HERE technologies, KeyCore can help businesses leverage AWS’s vast capabilities. Our team also assists in implementing advanced enterprise search solutions and maximizing marketing strategies using AI-driven CDP platforms. With our experience in building robust backup solutions with Veeam on AWS and optimizing GenAI workloads, KeyCore ensures your business can efficiently harness AWS’s full potential.

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AWS HPC Blog

Managed Accounting for AWS Parallel Computing Service

AWS Parallel Computing Service (AWS PCS) has introduced a new feature: managed accounting. This feature leverages Slurm’s accounting capabilities, allowing users to monitor resource utilization, enforce resource limits, and manage access control within a cluster. Managed accounting simplifies operations as AWS PCS handles the accounting database, removing the need for users to set up and manage it separately. This integration facilitates more efficient resource management and can be particularly beneficial in complex computing environments where multiple users and projects need to be accounted for.

With managed accounting, organizations can ensure that resources are allocated effectively across various projects and users, maintaining optimal performance and avoiding resource contention. The feature is particularly useful for enterprises that rely on cluster computing for intensive tasks, as it provides insights into resource consumption and helps in planning and scaling their operations effectively. AWS Parallel Computing Service’s managed accounting feature ultimately enhances productivity by streamlining resource management processes.

AI-Enhanced Subsurface Infrastructure Mapping

Subsurface infrastructure mapping is essential for industries such as oil and gas, as well as environmental protection. AWS has developed a novel approach that combines advanced magnetic imaging with physics-informed AI, delivering unprecedented insights into hidden structures. This method surpasses the capabilities of traditional mapping techniques, providing clearer visibility and a more detailed understanding of subsurface environments.

By harnessing the power of cloud computing and artificial intelligence, AWS enables organizations to explore and manage subsurface structures more effectively. This technological advancement not only improves the accuracy of subsurface maps but also opens new possibilities for exploration and management, leading to better decision-making and resource allocation in industries dependent on subsurface data.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy, can help organizations leverage these advanced AWS features to maximize their operational efficiency. Our team can assist in implementing managed accounting for AWS PCS, ensuring seamless integration and optimal resource management. Additionally, we offer expertise in deploying AI-enhanced solutions tailored to the specific needs of subsurface infrastructure mapping. By partnering with KeyCore, businesses can enhance their AWS environments, drive innovation, and achieve their strategic goals more effectively.

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AWS Cloud Operations Blog

Maximizing Multi-Region Resilience with AWS Resilience Hub

In the modern digital landscape, ensuring business continuity is not merely an aspiration but a tangible goal. As organizations continue to expand their operations, cloud-based applications have become indispensable, forming the backbone of business processes that deliver continuous value to customers. To bolster their cloud strategy, many companies are embracing multi-region deployments.

Using AWS Resilience Hub, businesses can enhance their multi-region resilience. This powerful tool enables organizations to assess and improve the resilience of their cloud applications. It provides an integrated view of resiliency strategies and automates the process of identifying weaknesses and suggesting improvements across AWS environments. By leveraging these capabilities, companies can ensure that their applications remain robust and operational even in the face of regional outages or disruptions.

For businesses aiming to maximize uptime and reliability, AWS Resilience Hub is an essential component in their cloud strategy. By implementing a multi-region approach, companies can mitigate risks and improve their disaster recovery capabilities, ensuring that their services remain available to users worldwide without interruption.

Key Governance, Risk, and Compliance Sessions at re:Inforce 2025

As organizations prepare for AWS re:Inforce 2025 in Philadelphia, attendees can look forward to an exciting lineup of sessions focused on Governance, Risk, and Compliance (GRC). This year, the track includes discussions on automating compliance processes, enhancing risk visibility, and leveraging generative AI to drive business growth and security at scale.

Participants can choose from a variety of sessions, such as five breakout sessions that delve into specific GRC challenges and solutions, eight builder sessions offering hands-on experience, seven chalk talks for interactive learning, and two code sessions focused on practical coding strategies.

These sessions are designed to equip businesses with the knowledge and tools needed to navigate the complexities of compliance and risk management in the cloud. By attending, organizations can gain insights into cutting-edge technologies and methodologies that enhance their ability to maintain security and compliance at scale.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance in implementing AWS solutions like the Resilience Hub to enhance multi-region resilience. Our team can assist in assessing your current infrastructure, identifying potential weaknesses, and deploying strategic improvements to ensure business continuity.

For those attending AWS re:Inforce 2025, KeyCore can provide tailored advice on leveraging the latest GRC strategies and technologies. Our expertise in AWS cloud operations enables clients to optimize their compliance processes and risk management strategies, ensuring they remain at the forefront of innovation and security.

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AWS for Industries

Optimizing AMI 2.0 with pLTE and AWS Cloud

As Advanced Metering Infrastructure (AMI) 2.0 becomes increasingly prevalent, its promises of real-time insights, enhanced grid management, and demand response are captured. By 2029, the U.S. is projected to see smart meter installations reach 182.9 million, covering nearly 94% of customers. However, the scope of AMI 2.0 extends beyond just meters. To handle the 1,440 data points a single meter generates daily, the system requires high-bandwidth communication and scalable storage solutions. The integration of AWS Cloud and private LTE networks addresses these needs, providing the infrastructure to manage and analyze this data effectively.

Virtual Data Rooms for Energy with Generative AI

National Oil Companies and Country Regulators can enhance their Virtual Data Rooms (VDRs) using generative AI, transforming how information is processed in licensing and bidding rounds. These AI-augmented VDRs offer advanced tools for visualization, interpretation, and collaboration, streamlining the management and analysis of data. By incorporating generative AI, stakeholders can handle complex datasets more efficiently, leading to more informed decision-making and faster project timelines.

Maximizing Seismic Insights with AWS Graviton

Petrobras utilizes S-Cube’s cloud-native XWI solution on AWS Graviton to enhance seismic processing. This workflow significantly boosts the compute power necessary for modern high-density 3D seismic data acquisition, improving the resolution of geological details such as thin beds and subtle faults. This advanced processing helps geologists make more accurate interpretations of subsurface structures, facilitating better resource exploration and management.

Scaling GenAI at Audi with Reply

In 2023, AUDI AG, with support from Storm Reply, launched a generative AI chatbot through their Audi Cloud Foundation Services (ACS) team. This initiative aimed to enhance internal knowledge retrieval and improve employee productivity. As they transitioned from pilot to production-ready systems, the deployment of generative AI demonstrated significant improvements in speed and efficiency, showcasing the potential for AI to drive innovation within automotive sectors.

Modernizing Healthcare Data with Databricks on AWS

In collaboration with Databricks, healthcare organizations are streamlining their data management by addressing challenges like disparate data silos. By leveraging AWS Cloud services, Databricks enables healthcare providers to integrate electronic health records (EHRs), medical imaging, and other data warehouses into a unified, scalable platform. This modernization effort facilitates better data access and analysis, ultimately leading to improved patient care and operational efficiency.

Innovating Invoice Processing with Amazon Bedrock

Holcim, a leader in sustainable building solutions, revolutionized their invoice processing using Amazon Bedrock. Faced with the challenge of managing a high volume of invoices while ensuring accuracy and compliance, Holcim developed a solution that transformed their operations. This innovative approach not only improved processing speed and accuracy but also paved the way for further digital transformation initiatives.

Building AI Stacks for Banking on AWS

Banks leveraging generative AI and machine learning are constructing scalable and well-governed AI stacks on AWS. These stacks accelerate the transition of proofs-of-concept into production, ensuring that business needs are met reliably. By establishing robust AI infrastructures, banks can better harness AI and ML technologies, driving innovation and improving customer experiences.

How KeyCore Can Help

KeyCore offers expert guidance and support to industries adopting AWS for these innovative solutions. Our professional services ensure seamless integration of AWS Cloud technologies tailored to your specific needs, whether optimizing AMI 2.0 systems, enhancing VDRs with AI, or modernizing data infrastructures. With our managed services, organizations can focus on their core business while we handle the complexities of cloud management. Explore how KeyCore can transform your operations by visiting our website at KeyCore.

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AWS Messaging & Targeting Blog

Email communication remains a critical component of business operations and customer engagement. As the digital landscape evolves, major mailbox providers continually update their policies to enhance security and user experience.

Navigating Bulk Sender Requirements with Amazon SES

Microsoft has implemented significant changes in its policies affecting bulk senders aiming to reach recipients using Outlook.com, including domains such as Hotmail.com and live.com. These updates are part of an ongoing effort to improve email security and user satisfaction. For businesses, this necessitates a strategic approach to ensure successful email delivery while complying with these new standards.

Amazon Simple Email Service (SES) offers a robust solution for managing bulk email requirements. By leveraging Amazon SES, businesses can navigate these evolving requirements effectively. SES provides features like sending authorization, configuration sets, and dedicated IPs, which are crucial for maintaining a positive sender reputation. Additionally, understanding the nuances of email throttling, feedback loops, and bounce handling are essential components of a successful bulk email strategy.

Adapting to these policy changes not only ensures improved deliverability but also enhances customer engagement by providing a secure and reliable communication channel. By aligning with these updates, organizations can maintain strong customer relationships and boost their brand credibility.

SMS Onboarding for SaaS, ISV, and Multi-Tenant Applications

SMS messaging continues to be a reliable and effective communication channel. For SaaS companies, ISVs, and multi-tenant solution providers, integrating SMS capabilities into their offerings is often complex. The process involves addressing challenges related to scalability, compliance, and user management.

AWS End User Messaging provides a structured pathway to integrate SMS functionality into applications. Key considerations include setting up sending limits, managing opt-ins and opt-outs, and ensuring compliance with regulations such as GDPR and TCPA. AWS services like Amazon Pinpoint facilitate personalized SMS communication, allowing businesses to tailor their messaging strategies to specific use cases and user preferences.

By leveraging AWS tools and best practices, organizations can streamline their SMS onboarding process, ensuring their messaging systems are both effective and compliant. This not only enhances user engagement but also strengthens the overall customer experience.

How KeyCore Can Help

KeyCore, as a leading Danish AWS consultancy, offers expert guidance in navigating the complexities of both email and SMS communication strategies. Our professional services can assist businesses in configuring Amazon SES for optimized email delivery and managing SMS capabilities through AWS services like Amazon Pinpoint. Whether it’s improving deliverability rates or integrating messaging functionalities into your applications, KeyCore provides tailored solutions to meet your unique needs. Visit our website at KeyCore.dk to learn more about how we can support your AWS messaging strategies.

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

Governance, Risk, and Compliance for AI in Financial Services

Financial services institutions are increasingly integrating AI technologies to foster innovation and enhance customer experiences. This integration, however, introduces new governance, risk, and compliance (GRC) challenges. To assist these institutions in navigating these complexities, AWS has introduced the AWS User Guide to Governance, Risk, and Compliance for AI Adoption in Financial Services. This guide provides a comprehensive framework designed to help organizations manage the unique GRC considerations associated with AI technologies. By following these guidelines, financial services can ensure responsible AI adoption, mitigating potential risks and ensuring compliance with industry standards.

Safeguarding Against DNS Threats with Route 53 Resolver DNS Firewall

Millions of applications rely on DNS queries to connect users with digital services. However, the DNS landscape poses unique security challenges, making it crucial to protect against advanced DNS threats. AWS offers the Amazon Route 53 Resolver DNS Firewall as a robust solution to these challenges. The DNS Firewall helps users safeguard their applications by providing a mechanism to filter DNS requests and block malicious domains. This ensures that only legitimate DNS queries are processed, thereby securing the digital infrastructure against potential threats and maintaining the integrity of user connections.

ISO/IEC 42001:2023 for AI Governance

As AI becomes integral to business operations, organizations must ensure their AI systems are ethical, resilient, and compliant with global standards. ISO/IEC 42001:2023 provides a management system standard for AI governance, offering a structured approach for implementing AI governance throughout the AI lifecycle. By adhering to this standard, organizations can align their AI practices with international guidelines, ensuring responsible AI development and deployment. This framework is essential for organizations aiming to manage AI risks and enhance the ethical standards of their AI systems.

Mapping AWS Security to MITRE Frameworks

Organizations can enhance their cloud security posture by aligning their security controls with industry-standard frameworks like MITRE ATT&CK®, MITRE Engage™, and MITRE D3FEND™. These frameworks document threat actor behaviors, providing a structured approach to improving threat detection and mitigation strategies. By mapping AWS security services to these frameworks, organizations can bolster their threat detection capabilities and refine their response strategies, thereby improving overall cloud security resilience.

Cost Optimization with IAM Access Analyzer

AWS IAM Access Analyzer helps identify AWS resources shared with external entities and unused access within an organization. By monitoring unused access and analyzing associated costs, organizations can optimize their cloud resource usage. This proactive approach to access management helps minimize unnecessary expenditures and enhances the security posture by reducing potential attack vectors from unused permissions.

Ensuring Safe Application Outputs with Amazon SageMaker

Large Language Models (LLMs) play a crucial role in content generation and natural language processing tasks. However, their complex outputs necessitate robust safety measures to prevent inappropriate or harmful content generation. Amazon SageMaker offers tools to implement safety guardrails, ensuring that LLM outputs remain appropriate and aligned with user expectations. These safety measures are vital in maintaining the reliability and integrity of AI-driven applications, particularly in sensitive domains.

How KeyCore Can Assist

KeyCore’s expertise in AWS services, security, and compliance positions us uniquely to assist organizations in implementing these advanced AWS solutions. Our team can help navigate the complexities of AI governance, optimize security protocols using MITRE frameworks, and ensure cost-efficient resource management with IAM Access Analyzer. By leveraging Amazon SageMaker’s capabilities, we can implement effective safety measures for LLM applications. Contact KeyCore for tailored services that drive compliance, security, and efficiency in your AWS environment.

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Front-End Web & Mobile

Enhancing Real-Time Applications with AWS AppSync and Powertools

Real-time capabilities have become a cornerstone of modern applications, driving the need for immediate updates and interactive experiences. Whether developing chat applications, live dashboards, gaming leaderboards, or IoT systems, the challenge is to deliver scalable and performant real-time applications effortlessly. AWS AppSync Events, leveraging WebSocket APIs, emerges as a solution that enables these real-time features without the burden of scale or connection management.

Utilizing AWS AppSync Events

AWS AppSync Events allows developers to construct robust real-time applications by handling the complexities of WebSocket connections. This service facilitates a seamless integration of real-time data updates, enhancing user engagement and interaction. By abstracting away the intricacies of managing connections and scaling, developers can focus on building the core functionalities of their applications.

Integration with Powertools for AWS Lambda

The integration of AWS AppSync with Powertools for AWS Lambda further simplifies the development process. Powertools provides utilities to streamline AWS Lambda functions, enhancing code quality and maintainability. Using Powertools, developers can efficiently handle AWS AppSync Events, ensuring that the real-time application remains responsive and scalable under varying loads.

Business Value and KeyCore Expertise

The adoption of AWS AppSync Events and Powertools can significantly reduce development time and operational overhead, allowing businesses to deliver feature-rich applications quickly. By leveraging these technologies, companies can improve user satisfaction through enhanced real-time interactions, leading to increased engagement and retention.

At KeyCore, we specialize in helping businesses implement AWS solutions effectively. Our team can assist with the integration of AWS AppSync Events and Powertools, ensuring your applications not only meet technical requirements but also align with business objectives. With our expertise, organizations can focus on innovation while we manage the complexities of AWS services.

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AWS Contact Center

The landscape of customer experience is undergoing a significant transformation, driven by the integration of generative AI and intelligent automation. These innovations, once considered futuristic, are now essential for modern contact centers aiming to enhance customer interactions. At Amazon Web Services (AWS), organizations are empowered to leverage these cutting-edge technologies to deliver interactions that are not only efficient but also highly personalized and meaningful.

AI-Powered Contact Centers

Generative AI and intelligent automation have revolutionized the way contact centers operate. These technologies allow businesses to provide real-time, contextually relevant responses that enhance customer satisfaction. By automating routine inquiries and tasks, contact centers can allocate more resources to complex customer needs, thereby improving overall efficiency. This approach not only streamlines operations but also enriches the customer experience by making interactions more personal and engaging.

Amazon Connect’s Innovation

In today’s competitive market, customers expect seamless and responsive service. Amazon Connect, powered by AWS technology and AI, offers a robust solution to meet these demands. It allows businesses to deploy a scalable, cloud-based contact center with minimal upfront investment. Amazon Connect’s integration with AI features such as speech recognition and sentiment analysis provides deeper insights into customer interactions, enabling businesses to tailor their responses more effectively.

Business Value of AI in Contact Centers

The implementation of AI-powered solutions in contact centers offers significant business advantages. These include cost reductions through automation, improved customer satisfaction, and strategic growth opportunities by leveraging advanced analytics. AI-driven insights can identify trends and patterns that inform decision-making and strategy, allowing businesses to stay ahead of the curve in customer service innovation.

How KeyCore Can Help

KeyCore, the leading AWS consultancy in Denmark, stands ready to assist organizations in transforming their contact centers with AI and AWS technologies. Our expertise in both professional and managed services ensures that businesses can effectively harness the full potential of Amazon Connect and other AWS solutions. KeyCore’s team of specialists can design, implement, and optimize customized strategies to enhance customer experience and drive business success. Visit KeyCore to learn more about our offerings and how we can support your journey in contact center innovation.

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Innovating in the Public Sector

Enhancing Disaster Recovery for California Credit Union

California Credit Union has significantly upgraded its disaster recovery and backup systems by leveraging AWS for its Fiserv DNA core banking platform. By adopting AWS’s robust cloud solutions, the credit union overcame significant challenges related to data resilience and reliability. This move not only fortified their current systems against potential disasters but also laid the groundwork for future technological innovations in the financial services sector. Their strategic implementation underscores a commitment to both operational reliability and progressive enhancement, ensuring continued service excellence.

Boosting Weather Forecast Accuracy with Amazon AppStream 2.0

Amazon AppStream 2.0 is revolutionizing the way weather forecasting applications are deployed and accessed. By using this managed application streaming service, the Common AWIPS Visualization Environment (CAVE) application can now be streamed to any device without the need for additional hardware or software. This approach enhances the accessibility of graphic-intensive forecasting tools, thereby improving the accuracy and efficiency of weather predictions. It highlights the potential of AWS solutions to facilitate high-performance computing in diverse sectors, including meteorology.

Simplifying Chaos Engineering with Amazon Bedrock

Amazon Bedrock is streamlining chaos engineering practices by enabling the creation of AWS Fault Injection Service (FIS) experiments through natural language interaction. This innovative approach leverages generative AI to simplify the setup of complex fault scenarios, thus making it easier for organizations to enhance their systems’ resilience. The integration of Amazon Bedrock into chaos engineering workflows demonstrates how AWS is harnessing AI to improve the robustness of cloud-based applications, reducing potential downtime and enhancing system reliability.

Driving Efficiency in Higher Education with AI and Automation

Higher education institutions are transforming their operations through the strategic use of AI and automation on AWS. By reimagining core processes, these institutions are achieving significant cost reductions while enhancing operational efficiency and the student experience. This forward-thinking approach not only maximizes resource use but also fosters an environment of continuous improvement and innovation. AWS provides the tools necessary for educational leaders to modernize their operations, driving both academic and administrative advancements.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers unparalleled expertise in implementing AWS solutions across various sectors. Whether enhancing disaster recovery systems for financial services, improving weather forecasting capabilities, or driving efficiency in education through AI, KeyCore delivers tailored strategies to meet specific organizational needs. With a deep understanding of AWS’s vast ecosystem, KeyCore ensures that clients not only achieve their immediate goals but also position themselves for future innovation and success. Visit KeyCore to learn more about how we can drive your AWS initiatives forward.

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AWS Open Source Blog

Strands Agents is a newly released open source SDK designed to simplify the creation and deployment of AI agents. By adopting a model-driven approach, Strands Agents allows developers to build and run AI agents efficiently with just a few lines of code. This SDK is versatile, supporting a range of use cases from basic to complex, and can be scaled seamlessly from local development environments to full-scale production deployments.

The toolkit is particularly beneficial for multiple teams, offering the flexibility to address diverse agent requirements. This flexibility directly translates to a streamlined development process, enabling teams to iterate and innovate rapidly without being bogged down by complex setup and configuration tasks.

By integrating Strands Agents into their workflows, businesses can accelerate their AI initiatives, ensuring that AI solutions are not only quickly developed but also robust and scalable. This speed and scalability are crucial for companies looking to maintain a competitive edge in today’s fast-paced technological landscape.

Incorporating open source tools like Strands Agents into an organization’s toolkit can lead to significant cost savings. With reduced development times and increased efficiency, businesses can allocate resources more effectively, ultimately driving innovation and improving their bottom line.

How KeyCore Can Help

KeyCore offers unparalleled expertise in leveraging AWS infrastructure and open source tools. Our team can assist in integrating Strands Agents into your existing workflows, ensuring a smooth transition and optimized performance. Whether you need guidance on setting up your development environment or deploying your AI agents to production, KeyCore provides the support necessary to achieve your strategic goals. With our deep understanding of AWS services and open source technologies, KeyCore is your ideal partner in advancing your AI capabilities.

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