Summary of AWS blogs for the week of monday Mon Mar 10

In the week of Mon Mar 10 2025 AWS published 83 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Enterprise Connect 2025: AWS End User Computing Services for Contact Center Agents

The AWS End User Computing (EUC) team is eager to participate in Enterprise Connect 2025, scheduled for March 17-20 in Orlando, Florida. This event is recognized as the largest communication, collaboration, and customer experience (CX) conference in North America. It offers a prime opportunity for industry professionals to explore new technologies and engage with peers.

Focus on Contact Center Solutions

At this year’s Enterprise Connect, the focus is on AWS EUC services tailored for contact center agents. These services aim to enhance productivity and streamline operations by leveraging cloud-based solutions. AWS WorkSpaces and Amazon AppStream 2.0 are pivotal in providing secure, scalable, and cost-effective desktop and application streaming options. These tools allow contact center agents to access necessary applications and data from anywhere, ensuring continuity and efficiency.

Networking and Learning Opportunities

Enterprise Connect provides numerous networking opportunities for attendees. Participants can connect with industry leaders, discover innovative solutions, and gain insights into emerging trends. The conference sessions are designed to deepen understanding of AWS services and how they can be applied to improve contact center operations. By attending, professionals can equip themselves with the knowledge needed to implement effective end-user computing strategies within their organizations.

Business Impact and Value

Utilizing AWS EUC services can transform contact center environments by offering scalable and secure solutions. These services can significantly reduce operational costs and enhance the agent experience. This can lead to improved customer satisfaction and retention, ultimately benefiting the organization’s bottom line. Access to AWS’s robust infrastructure ensures reliability and performance, critical for maintaining high-quality customer interactions.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in deploying AWS EUC solutions. Our professional services can assist organizations in implementing and optimizing these services to meet specific business needs. Through managed services, KeyCore ensures continued support and maintenance, enabling businesses to focus on delivering exceptional customer service. With KeyCore, organizations can maximize the value of AWS end-user computing technologies in their contact centers.

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AWS DevOps & Developer Productivity Blog

Event Highlights from AWS Developer Day 2025

AWS Developer Day 2025 provided a comprehensive showcase of how AWS’s generative AI tools are revolutionizing software development. The event featured product launches, insightful discussions from industry leaders, and practical demonstrations. These elements highlighted the capabilities of AWS in enhancing developer productivity by enabling more efficient cloud software development and scalable solutions.

Developers gained insights into leveraging AWS’s cutting-edge technologies to optimize their workflows and streamline their development processes. This event emphasized AWS’s commitment to fostering innovation through robust developer tools, designed to meet the evolving needs of modern software engineering.

Upgrade to Java 21 with Amazon Q Developer

On February 14, Amazon Q Developer announced its support for Java 21 upgrades. This advancement is significant for Java developers, offering them the opportunity to keep applications current and utilize the latest language features and performance enhancements. The inclusion of Java 21 support within Amazon Q Developer underscores AWS’s dedication to providing developers with leading-edge tools that adapt to ever-changing technological landscapes.

This update allows developers to enhance their projects with improved performance, security, and functionality, ensuring that their applications remain competitive and efficient.

Node.js 14.x and 16.x Support Ending for AWS CDK

On May 30th, 2025, AWS CDK will cease support for Node.js versions 14.x and 16.x, following their end-of-life statuses in 2023. This change affects all AWS CDK components reliant on Node.js, including the CLI, Construct Library, and broader ecosystem projects. Developers are encouraged to upgrade their CDK applications to newer Node.js versions to maintain functionality and security. This move ensures that AWS CDK continues to leverage the latest technology stacks, providing optimized development experiences.

Enhanced Code Management with Amazon Q Developer

Amazon Q Developer introduces new context features empowering developers to control their development workflows effectively. These features are designed for Visual Studio Code and include workspace context, explicit context, prompt libraries, and project rules. These tools aid in streamlining software projects, maintaining coding standards, and enhancing developer productivity by providing a structured environment for code development. AWS continues to innovate with Amazon Q Developer, offering solutions that cater to comprehensive code management and efficient development practices.

How KeyCore Can Assist

KeyCore, as the leading AWS consultancy in Denmark, is well-equipped to help clients leverage AWS’s latest tools and updates effectively. From optimizing workflows with generative AI to transitioning applications to Java 21 and navigating AWS CDK changes, KeyCore delivers customized solutions that enhance both productivity and performance. KeyCore also provides support for implementing Amazon Q Developer’s new features, ensuring streamlined development processes and adherence to best practices. Visit KeyCore.dk to discover how we can assist your organization in maximizing the benefits of AWS’s evolving ecosystem.

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AWS for SAP

Many organizations are currently transforming their SAP landscape by implementing SAP S/4HANA through SAP RISE. However, a significant number of customers are hosting their SAP systems natively on AWS. These customers are focused on optimizing operational efficiency and improving system availability. One effective method to achieve this is by automating the start and stop processes of SAP NetWeaver ABAP applications based on the HANA database using AWS Systems Manager for SAP.

Enhancing Operational Efficiency

Automating the start and stop processes of SAP systems can significantly enhance operational efficiency. By leveraging AWS Systems Manager for SAP, customers can schedule these operations without manual intervention, reducing the risk of human error and ensuring that the systems run only when needed. This approach not only conserves energy but also reduces costs associated with system operation.

Ensuring High Availability

High availability is a critical requirement for SAP systems. Automating the start and stop processes can help meet stringent availability requirements by ensuring that systems are up and running during peak usage times and automatically shut down during periods of low demand. This automation can be configured using AWS Systems Manager Automation documents, which provide predefined procedures for common tasks.

Cost Optimization

The economic aspect is a substantial motivator for automation. By scheduling the SAP systems to be operational only during business hours or specific periods of expected use, organizations can significantly reduce their AWS infrastructure costs. AWS Systems Manager provides a centralized operation management service that streamlines the process of managing SAP applications hosted on AWS, making it an ideal solution for cost-conscious enterprises.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, offers expert guidance and support in automating SAP systems on AWS. With extensive experience in both professional and managed services, KeyCore can help organizations implement AWS Systems Manager for SAP effectively. From initial setup to ongoing management, KeyCore ensures that clients achieve optimal operational efficiency and cost savings while maintaining high availability of their SAP systems.

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Official Machine Learning Blog of Amazon Web Services

Amazon Bedrock Agents and Computer Use Automation

Amazon has announced the integration of computer use support within Amazon Bedrock Agents, utilizing Anthropic’s Claude 3.5 Sonnet V2 and Claude Sonnet 3.7 models. This integration enhances Amazon Bedrock by providing managed visual perception capabilities. Users gain a secure and traceable method to automate computer use within their workflows. This advancement is significant for businesses seeking to enhance efficiency and reliability in their automation processes.

Evaluating RAG Applications with Amazon Bedrock

The post on RAG evaluation with Amazon Bedrock Knowledge Bases delves into setting up evaluation features, addressing prompt and response nuances, and best practices. By leveraging these evaluation features, businesses can streamline AI quality assurance processes in RAG applications, fostering more efficient development. This capability is crucial for companies aiming to enhance the reliability and effectiveness of their AI-driven applications.

GoDaddy’s Category Generation System with Amazon Bedrock

GoDaddy collaborated with the Generative AI Innovation Center to develop a category generation system using batch inference on Amazon Bedrock. This AI-based solution improves GoDaddy’s product categorization, providing personalized insights for over 21 million customers. The cost-efficient system exemplifies how generative AI can transform customer engagement and operational efficiency in large-scale e-commerce platforms.

Benchmarking Customized Models on Amazon Bedrock

The blog series on benchmarking discusses the performance evaluation of custom models using LLMPerf and LiteLLM. It provides a practical guide, including a notebook for deploying models like the DeepSeek-R1-Distill-Llama-8B. This resource is invaluable for organizations seeking to optimize their use of Amazon Bedrock Custom Model Import, ensuring efficient deployment and performance of various AI models.

Creating Asynchronous AI Agents with Amazon Bedrock

The post explores advancements in multimodal AI, where agents can process and generate multiple data types. It discusses the potential of agentic AI architecture to accelerate business processes. This integration broadens applications for businesses, paving the way for innovative solutions in automating complex workflows and enhancing operational productivity.

Deployment of Qwen 2.5 Models on AWS

This guide outlines deploying Qwen 2.5 models on AWS using Amazon EC2, Amazon SageMaker, and Hugging Face libraries. It supports various Qwen models, providing organizations with the tools to leverage AWS infrastructure for optimized AI deployments. Businesses can enhance their computational capabilities, achieving improved model performance and scalability.

MaestroQA’s Integration with Amazon Bedrock

MaestroQA’s integration with Amazon Bedrock enables advanced conversation analytics, helping support teams address customer concerns and improve workflows. The post discusses the challenges and solutions achieved using AWS technologies. This integration is crucial for companies aiming to enhance customer service and operational efficiency through actionable insights.

Visual Creativity with Amazon Nova Canvas

The visual guide to Amazon Nova Canvas showcases images generated for diverse use cases, from marketing to design exploration. Each visual is paired with its generating prompt and parameters, offering a practical starting point for fostering creativity. This tool helps businesses harness AI-driven image generation to inspire and streamline creative processes.

Benchmarking Amazon Nova and GPT-4o Models

The post details a benchmarking evaluation by FloTorch comparing Amazon Nova models with OpenAI’s GPT-4o. The findings provide insights into the performance of Amazon’s models, guiding organizations in selecting appropriate AI solutions for their needs. This benchmarking is critical for making informed decisions about AI adoption.

Optimizing and Deploying DeepSeek-R1 Models on SageMaker

Various posts cover deploying and optimizing DeepSeek-R1 distilled models on Amazon SageMaker using Hugging Face TGI and Large Model Inference containers. These guides demonstrate practical steps to leverage SageMaker for hosting advanced language models, facilitating streamlined deployment, and operational efficiency for organizations.

Combat Food Waste with Amazon Rekognition and Bedrock

FoodSavr, a fictional solution, utilizes Amazon Rekognition and Bedrock to generate recipes from fridge images. This architecture not only detects ingredients but also identifies missing items and suggests nearby grocery stores. It’s a practical example of using AI to reduce food waste and improve household efficiency.

Octus’s Transformation with CreditAI on Amazon Bedrock

Octus migrated its CreditAI product to Amazon Bedrock, enhancing credit intelligence analysis for investment professionals. The post outlines the transition from multiple cloud providers to a streamlined AWS-based solution, exemplifying how businesses can achieve cost-effective and scalable operations using AWS.

Amazon Bedrock’s Multi-Agent Collaboration Availability

Amazon announced the general availability of multi-agent collaboration on Bedrock, allowing developers to manage AI agent networks for complex workflows. This capability empowers businesses to execute multi-step processes more efficiently, driving innovation and operational effectiveness across industries.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in deploying and optimizing AI solutions on AWS platforms. Whether integrating sophisticated AI models or enhancing operational efficiencies through AWS services, KeyCore provides tailored solutions to meet business needs. By partnering with KeyCore, organizations can leverage AWS’s full potential to drive innovation, streamline processes, and achieve strategic goals. Visit KeyCore’s website to learn more about their comprehensive AWS services.

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Announcements, Updates, and Launches

AWS Pi Day 2025: Unified Data Foundation for Analytics and AI

AWS Pi Day, celebrated annually to mark the launch of Amazon S3 in 2006, has become a significant event highlighting advancements in data management, analytics, and artificial intelligence (AI). In 2025, the focus is on a unified data foundation, featuring new capabilities such as S3 Tables, SageMaker Unified Studio, and Amazon Bedrock IDE. These innovations represent a shift from merely celebrating cloud storage to showcasing how AWS is integrating data management with analytics and AI to support modern business needs.

Amazon SageMaker Unified Studio: Now Generally Available

Amazon SageMaker Unified Studio is a comprehensive platform combining data, analytics, and AI/ML tools. It integrates with Amazon Bedrock and Amazon Q Developer to simplify the development of analytics and AI applications. This unified approach supports a wide range of use cases, enhancing collaboration and accelerating the development process by providing a seamless interface for data scientists and developers.

Amazon S3 Tables Integration with SageMaker Lakehouse

The integration of Amazon S3 Tables with SageMaker Lakehouse is now generally available. This integration allows unified access to S3 Tables data through AWS analytics engines like Amazon Athena, Redshift, EMR, and third-party query engines. It offers a centralized and secure method to build and manage data-centric applications, enhancing analytics capabilities across the AWS ecosystem.

DeepSeek-R1: Fully Managed in Amazon Bedrock

DeepSeek-R1 is now available as a fully managed, serverless model in Amazon Bedrock. This availability relieves teams from handling infrastructure complexities, enabling them to focus on strategic initiatives. By leveraging serverless technology, businesses can deploy sophisticated models without the overhead of managing the underlying infrastructure.

AWS Weekly Roundup: Highlights from March 10, 2025

The AWS Weekly Roundup highlights various updates, including the Amazon Q CLI agent, AWS Step Functions, and AWS Lambda. As spring brings warmer weather in the Northern Hemisphere, there are opportunities to engage and learn. Notably, the Nova Networking Night at the AWS GenAI Loft in San Francisco will showcase Amazon Nova foundation models (FMs) with live demos and real-world implementations, offering valuable insights into AWS’s AI capabilities.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to help businesses leverage these AWS advancements. Whether implementing Amazon SageMaker Unified Studio, integrating S3 Tables, or deploying serverless models like DeepSeek-R1, KeyCore’s expertise ensures seamless transitions and optimizations. Our tailored solutions align with AWS’s latest offerings, driving innovation and efficiency for your business.

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Containers

In a rapidly evolving computing landscape, there’s a growing emphasis on supporting diverse computing architectures. This shift aims to offer flexibility, efficiency, and enhanced performance. One of the key solutions is building multi-architecture containers using GitHub Actions on AWS. The process encompasses developing containers that can efficiently run across different CPU architectures, such as x86 and ARM, without requiring distinct builds for each type. This not only optimizes performance but also reduces costs and streamlines operations, especially for organizations operating in hybrid environments.

To construct these multi-architecture containers, developers leverage GitHub Actions to automate the build process. This automation involves using workflows that define build steps for each architecture, taking advantage of AWS services and infrastructure. The approach helps in maintaining consistency, improving deployment speed, and ensuring that applications are always optimized for the underlying hardware. It is a crucial development for organizations looking to enhance their DevOps pipelines with multi-architecture support.

Observability in MLOps on Amazon EKS

Machine learning operations (MLOps) on Amazon EKS (Elastic Kubernetes Service) require robust observability to ensure optimal performance and operational efficiency. The first part of a comprehensive series on this topic offers insights into how observability can be integrated into MLOps workflows. Amazon EKS provides a scalable platform for deploying machine learning models in containerized environments, where observability tools play a critical role in monitoring, logging, and troubleshooting.

Key aspects include understanding the unique challenges of monitoring machine learning workloads, such as resource-intensive operations and the need for real-time insights. With tools tailored for Kubernetes, organizations can gain visibility into their ML workloads, ensuring that performance bottlenecks are identified and resolved quickly. This observability framework assists businesses in delivering consistent and reliable ML services, enhancing the overall efficacy of their AI initiatives.

Simplifying IAM Permissions with Amazon EKS Pod Identity

Amazon EKS Pod Identity streamlines the application of AWS Identity and Access Management (IAM) permissions within Kubernetes clusters. This feature, announced at AWS re:Invent 2023, simplifies the management of IAM roles for EKS workloads, particularly for EKS add-ons. These add-ons are vital components that extend EKS functionality, and managing their permissions traditionally required complex configurations.

With EKS Pod Identity, Kubernetes workloads can securely and dynamically assume IAM roles without requiring additional configuration steps. This simplifies security management by minimizing the need for hardcoded credentials within containers and reducing potential security risks. For businesses using Amazon EKS, this means enhanced security compliance and easier management of container permissions, which is crucial for maintaining a robust security posture across Kubernetes deployments.

How KeyCore Can Help

KeyCore offers comprehensive support and consulting services for organizations looking to leverage advanced AWS capabilities. Whether the goal is to integrate multi-architecture containers, enhance MLOps observability on Amazon EKS, or streamline IAM permissions through Amazon EKS Pod Identity, KeyCore’s expertise ensures optimal implementation and management. Our team provides tailored solutions and insights, helping businesses maximize their AWS investments while maintaining security and operational efficiency. Visit KeyCore’s website to learn more about our offerings and how we can assist with your AWS initiatives.

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AWS Quantum Technologies Blog

Quantum computing is rapidly evolving, and enhancing workload performance is critical for harnessing this revolutionary technology. Amazon Braket users can now leverage Q-CTRL’s Fire Opal error suppression to significantly improve quantum workload performance on IonQ processors. This cutting-edge technology enables users to execute deeper and wider quantum circuits with enhanced accuracy and efficiency.

Q-CTRL’s Fire Opal: Revolutionizing Quantum Error Management

Q-CTRL’s Fire Opal technology is specifically designed to suppress errors in quantum computations. By integrating this advanced error suppression technology into Amazon Braket, users can reduce the error rates in their quantum computations. This allows for more reliable outcomes and the ability to tackle complex quantum problems with greater confidence. The implementation requires only a few lines of code, simplifying the enhancement process and making it accessible to developers without extensive quantum computing expertise.

Business Value of Enhanced Quantum Workloads

For businesses exploring quantum computing, the ability to run accurate and complex quantum workloads opens new avenues for innovation and problem-solving. Enhanced error suppression enables companies to push the boundaries of quantum research and development, delivering competitive advantages in fields like cryptography, materials science, and complex systems modeling. By ensuring higher fidelity in quantum operations, businesses can rely on the insights derived from quantum calculations to make informed decisions and develop pioneering solutions.

KeyCore’s Expertise in Quantum Computing on AWS

KeyCore offers extensive expertise in implementing and optimizing quantum technologies on AWS platforms, including leveraging tools like Q-CTRL’s Fire Opal on Amazon Braket. With a deep understanding of AWS services and quantum computing, KeyCore can assist organizations in integrating quantum capabilities into their operations, ensuring they maximize the potential of quantum technologies. Whether it’s setting up efficient quantum workflows or advising on best practices for error suppression, KeyCore provides tailored services to help businesses innovate and lead in their respective industries.

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Official Database Blog of Amazon Web Services

Amazon DocumentDB Quick Start: Zero Setup with AWS CloudShell

Amazon DocumentDB has integrated with AWS CloudShell, enabling users to connect to it with just a single click via the AWS Management Console. This integration eliminates the need for any setup, streamlining the connection process significantly. Users can now leverage CloudShell to efficiently interact with Amazon DocumentDB, which is compatible with MongoDB. This innovation simplifies the user experience, enhancing productivity and allowing developers to focus more on their applications rather than the setup process.

Multiple Database Support on Amazon RDS for Db2 DB Instance

Organizations running IBM Db2 databases often deal with significant resource investments due to multiple physical servers or virtual machines. This strategy can lead to underutilization of servers, especially with advancements in hardware and enhancements in database engines. It is crucial for organizations to optimize resource utilization through careful planning and rightsizing. By utilizing Amazon RDS for Db2 DB instances, businesses can consolidate their database environments, reducing management overhead and infrastructure costs while ensuring efficient resource use.

Build Resilient Oracle Database Workloads on Amazon EC2

Building resilient Oracle Database workloads on Amazon EC2 involves understanding various architectural patterns and options for compute and storage layers. This setup is essential for ensuring compliance with high availability (HA) and disaster recovery (DR) requirements. Organizations can utilize a combination of architecture designs to achieve robust and reliable Oracle Database deployments on EC2, thus minimizing downtime risks and enhancing data availability.

Demystifying Amazon DynamoDB On-Demand Capacity Mode

Amazon DynamoDB’s on-demand capacity mode is surrounded by several myths that need clarification. These myths primarily relate to cost implications, operational overhead, and performance. Understanding the realities of these aspects helps businesses make informed decisions regarding throughput management. The on-demand capacity mode provides flexibility and efficiency in handling varying workloads without the need to manually adjust capacity, making it a viable option for businesses seeking scalability and simplicity in database management.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance and support across all these areas. From setting up Amazon DocumentDB integrations with CloudShell to optimizing Db2 and Oracle deployments on AWS, KeyCore assists organizations in maximizing their AWS investments. Our team provides tailored solutions that align with business objectives, ensuring efficient resource utilization and enhanced operational performance. Whether it is about debunking myths around DynamoDB or architecting resilient database workloads, KeyCore is equipped to deliver strategic insights and technical implementations that drive business success.

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AWS for Games Blog

Discover AWS Tools at GDC 2025

Amazon Web Services (AWS) is set to showcase an array of tools designed to enhance gaming experiences at the Game Developers Conference (GDC) 2025. The event will take place from March 17-21 at the Moscone Center in San Francisco. Attendees can visit the AWS booth (#S927) to engage with purpose-built solutions that cover the entire game development lifecycle. These demonstrations aim to provide developers with hands-on experience and insights into creating breakthrough gaming experiences using AWS technology.

Cloud Governance Insights from Epic Games

A smart cloud governance strategy is crucial for game studios looking to reduce costs and enhance security in live service games. Co-authored by Reza Nikoopour from Epic Games, this blog highlights six lessons game developers can learn from Epic Games’ cloud governance strategy with AWS. Key takeaways include the importance of automated cost control measures and advanced security protocols. These strategies ensure a more efficient and secure gaming environment, benefiting both large and small studios.

Unreal Engine Studios and Remāngu 2.0

The development of high-performance Unreal Engine studios is being revolutionized by Remāngu 2.0 and AWS. Co-authored by Stepan Kaiser and Jan Sechovec of Remāngu, the blog discusses the challenges faced by geographically distributed game development teams. The Remāngu 2.0 platform provides a comprehensive cloud-native solution that facilitates the creation and delivery of complex games across multiple platforms. This partnership with AWS helps studios stay on time and within budget, ensuring a streamlined development process.

Enhanced Multiplayer Hosting with Amazon GameLift

Amazon GameLift Servers have now incorporated support for container fleets, enabling global scalability for containerized game servers. This update, introduced in 2024, is bolstered by the Amazon GameLift Servers Containers Starter Kit Solution. This solution simplifies the onboarding process, allowing studios to integrate existing game infrastructures into container fleets seamlessly. The result is faster multiplayer hosting and improved global distribution of game servers.

KeyCore’s Expertise in AWS for Gaming

KeyCore offers unparalleled expertise in AWS services tailored for the gaming industry. Whether it’s optimizing cloud governance or implementing advanced server solutions like Amazon GameLift, KeyCore can assist studios in leveraging AWS’s full potential. By partnering with KeyCore, gaming companies can achieve reduced operational costs, enhanced security, and innovative gaming experiences through expert guidance and support.

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Official Big Data Blog of Amazon Web Services

Architecting Fault-Tolerant Applications with Amazon EMR on EC2 Instance Fleets

Amazon EMR provides a robust framework for optimizing capacity through a strategic approach to workload management. By analyzing historical compute usage, organizations can tailor strategies to their workload patterns to minimize InsufficientCapacityExceptions (ICE). Utilizing flexible instance fleet strategies, reliance on specific EC2 instance types is reduced. Moreover, Amazon EC2 On-Demand Capacity Reservations (ODCRs) are leveraged for steady-state workloads, ensuring predictability and stability. Implementing these strategies not only prevents job failures due to capacity constraints but also enhances the cost-efficiency and performance of EMR clusters.

Accelerate Innovation with Amazon SageMaker Unified Studio

Amazon SageMaker Unified Studio is now generally available, offering a comprehensive platform for boosting analytics and AI innovations. This unified environment simplifies the process of developing, training, and deploying machine learning models. With an integrated suite of tools, it streamlines collaboration across data science teams and accelerates the time-to-value for AI initiatives. Getting started with SageMaker Unified Studio involves accessing the platform through the AWS Management Console, where users can exploit its capabilities for data preparation, experimentation, and deployment workflows.

End-of-Support for Amazon Kinesis Client and Producer Libraries

AWS has announced the end-of-support for Amazon Kinesis Client Library (KCL) 1.x and Producer Library (KPL) 0.x, effective January 30, 2026. This initiative is part of AWS’s ongoing commitment to innovation and security. These versions will enter maintenance mode on April 17, 2025. During this period, updates will be limited to critical bug fixes and security patches, with no new feature releases or enhancements.

Real-Time Analytics with StarTree for Managed Apache Pinot on AWS

StarTree offers a managed solution for Apache Pinot on AWS, ideal for organizations aiming to streamline their real-time analytics infrastructure. This service differentiates itself from the open-source version by providing enhanced support and ease of management. Organizations can benefit from more efficient real-time data processing and analytics, which is crucial for data-driven decision-making processes. StarTree on AWS simplifies the deployment and scaling of real-time analytics, offering a seamless and performant solution.

Local Development and Testing of AWS Glue 5.0 Jobs using Docker

Developing and testing AWS Glue 5.0 jobs locally is now possible using Docker containers. This approach updates the process for Glue versions 3.0 and 4.0, enabling developers to efficiently simulate the AWS Glue environment on their local machines. This local development environment supports rapid iteration and debugging, empowering developers to refine their ETL processes before deploying to production.

Integrating AWS Glue with Adobe Marketo Engage

Organizations using Adobe Marketo Engage can now enhance their data analysis capabilities by integrating it with AWS Glue. This integration facilitates the extraction, processing, and enrichment of Marketo data, enabling more effective marketing analytics workflows. By leveraging AWS Glue, marketers can gain deeper insights from their data, tailoring their strategies to drive better customer engagement and conversion rates.

Optimizing Performance with Amazon Redshift Serverless

Amazon Redshift Serverless introduces AI-driven scaling and optimization, significantly impacting performance and cost management. Organizations can choose from different optimization profiles to align with their workload demands, ensuring efficient resource utilization. This capability allows for seamless adjustments in scaling, catering to varying data processing needs and optimizing overall expenditure. Amazon Redshift Serverless delivers a flexible data warehousing solution that adapts to dynamic business requirements.

KeyCore’s Expertise in AWS Solutions

KeyCore offers expert support for organizations seeking to leverage AWS technologies for enhanced data processing and analytics. Our services encompass professional guidance in architecting fault-tolerant applications, implementing cutting-edge machine learning platforms, and optimizing real-time analytics infrastructures. Whether transitioning to new AWS services or refining existing deployments, KeyCore provides tailored solutions to drive performance and innovation. Visit KeyCore’s website to explore how our AWS consultancy services can benefit your organization.

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Networking & Content Delivery

Building Resilient IPv6 Networks with SD-WANs and AWS Cloud WAN Connect
This article explores the integration of AWS Cloud WAN Connect with Generic Routing Encapsulation (GRE) Tunnels and Multi-protocol BGP (MP-BGP) to enable robust IPv6 networks. By leveraging these technologies, organizations can achieve Equal Cost Multi-Path (ECMP) routing, enhancing the redundancy and efficiency of their network infrastructure.

Implementing GRE Tunnels and MP-BGP for IPv6
GRE Tunnels facilitate the encapsulation of packets for secure transmission across different networks. When combined with MP-BGP, users can implement ECMP routing, allowing multiple pathways for data flow. This approach not only optimizes network paths but also ensures resilience against single points of failure.

Route Verification and Failover Testing
Effective route verification and failover testing are crucial for maintaining network stability. The article emphasizes best practices such as regularly testing failover scenarios to ensure seamless transitions during network outages. This proactive approach minimizes downtime and enhances the reliability of network services.

Protecting Public APIs with AWS Edge Services at Glovo
The second article discusses how Glovo employs AWS Edge Services to secure their public APIs. Modern applications depend heavily on these APIs to facilitate communication between clients and services. Glovo implements a combination of AWS WAF, AWS Shield Advanced, and Amazon CloudFront to safeguard their APIs.

Securing APIs with AWS Edge Services
AWS WAF helps mitigate web application attacks by filtering traffic and blocking malicious requests. AWS Shield Advanced provides enhanced DDoS protection, ensuring the APIs remain available even under attack. Amazon CloudFront further secures APIs by acting as a content delivery network, providing additional layers of security and performance benefits.

Business Value and KeyCore’s Expertise
Efficiently managing network infrastructure and protecting APIs are essential for businesses leveraging cloud services. KeyCore’s expertise in AWS services provides clients with solutions that enhance both network resilience and API security. With tailored strategies that align with organizational needs, KeyCore ensures optimal performance and security in AWS environments.

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AWS Compute Blog

Implementing a Serverless Architecture for Guardrail Detection in Amazon Bedrock

Organizations are increasingly adopting foundation models through Amazon Bedrock to develop advanced generative AI applications. However, the absence of guardrails in API calls poses potential risks. Sayan Chakraborty, a Senior Solutions Architect at AWS, explores the implementation of a serverless architecture that actively detects missing guardrails in Amazon Bedrock inference API calls.

Serverless Architecture Benefits

This serverless approach leverages AWS services like AWS Lambda, Amazon CloudWatch, and AWS Step Functions to monitor and respond to API calls. The architecture ensures real-time detection and reporting, enabling organizations to maintain compliance and security standards. By using serverless technologies, the solution remains scalable and cost-effective, adapting to varying workloads without manual intervention.

Business Value

Implementing this detection mechanism enhances the reliability and safety of generative AI applications. It allows businesses to leverage powerful AI capabilities while minimizing risks associated with improper API usage. Such an architecture aligns with modern cloud-native strategies, promoting agility and innovation.

Managing Amazon EC2 On-Demand Capacity Reservations

In the cloud-first business environment, managing compute capacity effectively is paramount. Ninad Joshi, Ballu Singh, and Ankush Goyal from AWS discuss strategies for efficiently managing Amazon EC2 On-Demand Capacity Reservations (ODCRs). These strategies include splitting, moving, and modifying reservations, ensuring application availability while optimizing resource utilization.

ODCR Management Techniques

The post outlines methods to split EC2 instances into smaller reservations, move them across Availability Zones, and modify their attributes to meet changing demands. Such flexibility ensures that organizations can dynamically adjust their compute capacity, reducing costs and increasing efficiency.

Benefits for Businesses

By optimizing ODCRs, companies can better align their resource consumption with business requirements, avoiding unnecessary expenditures. This optimization supports cost-effective scaling, crucial for sustaining competitive advantage in a rapidly changing market.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, offers expert guidance and support for implementing serverless architectures and managing EC2 capacity. Our team provides tailored solutions that align with your business objectives, ensuring efficient resource management and robust AI application development. Whether you are setting up guardrail detection or optimizing your EC2 reservations, KeyCore’s expertise can help you maximize the benefits of AWS technologies.

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AWS for M&E Blog

Unlocking Competitive Edge in Formula 1® with AWS

In the high-speed realm of Formula 1®, where every millisecond counts, data has become a pivotal force in shaping the sport. Since 2018, Formula 1® (F1) has collaborated with Amazon Web Services (AWS) to transform the competitive landscape through advanced data analytics and cloud computing. This collaboration has not only enhanced race strategies but also provided unprecedented insights into vehicle performance, driver statistics, and race conditions.

The integration of AWS technologies allows F1 to analyze vast amounts of racing data efficiently. By leveraging AWS’s machine learning capabilities, teams can predict race outcomes, optimize pit stop strategies, and refine car designs to achieve superior performance on the track. This data-driven approach is reshaping F1, making it more competitive and thrilling for teams and fans alike.

At KeyCore, understanding and implementing such advanced AWS solutions is our forte. We assist organizations in harnessing AWS’s powerful tools to gain competitive advantages, much like F1 does. Whether it’s optimizing data analytics or deploying machine learning models, KeyCore can guide businesses through every step of their cloud journey.

Rendering Blender Scenes with AWS Deadline Cloud

Amazon Web Services (AWS) Deadline Cloud simplifies the complex process of render management for creative teams working on computer-generated graphics and visual effects. With a fully supported integration for Blender, AWS Deadline Cloud offers a seamless and efficient way to render Blender scenes, crucial for industries like film, TV, gaming, industrial design, and architecture.

This managed service enables artists and developers to focus more on creativity by automating render tasks and scaling resources dynamically to meet project demands. Users can enjoy the flexibility of on-demand resources and reduce the time and cost typically associated with rendering high-quality graphics and animations.

KeyCore offers expertise in deploying AWS Deadline Cloud solutions tailored to your creative needs. Our team ensures that you leverage the full potential of AWS’s rendering capabilities, allowing you to achieve high-quality outputs with optimal efficiency. By integrating AWS solutions into your workflow, KeyCore empowers your creative projects to reach new heights.

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AWS Storage Blog

Connecting Snowflake and S3 with SageMaker Lakehouse Iceberg

In the rapidly evolving landscape of data analytics, organizations require solutions that offer both flexibility and accessibility. The integration between Snowflake and Amazon S3 via the SageMaker Lakehouse Iceberg REST endpoint enables organizations to achieve this by allowing seamless data access across preferred query engines. This integration facilitates the use of a single data copy across different environments, ensuring efficient data lineage tracking and cost-effectiveness.

Utilizing the SageMaker Lakehouse Iceberg REST endpoint, organizations can connect their Snowflake instances directly to S3 tables. This approach breaks down the barriers typically found between different computing environments, offering a unified data solution. It enhances data availability while maintaining the flexibility that modern enterprises demand.

Building a Managed Apache Iceberg Data Lake with Starburst and S3

Enterprises often encounter challenges when managing large-scale data analytics across various data sources. Complex configurations, performance issues, and maintaining consistent data governance are significant hurdles. Starburst’s latest solution addresses these challenges by providing a managed Apache Iceberg data lake using Amazon S3 tables.

The Starburst extension to Apache Iceberg enhances the management of data lakes by simplifying configurations and improving performance. It allows data teams to maintain robust data governance while offering extensive access to analytics capabilities. This solution streamlines data operations and supports enterprises in leveraging their data for strategic insights.

Leveraging KeyCore’s Expertise

KeyCore stands ready to assist organizations in implementing these cutting-edge AWS solutions. With our deep expertise in AWS services and data analytics, KeyCore can help in setting up and optimizing the integration of Snowflake with S3 using the SageMaker Lakehouse Iceberg REST endpoint. Moreover, we can facilitate the deployment of a managed Apache Iceberg data lake with Starburst, ensuring that enterprises overcome challenges in data management and analytics.

Our professional services team can design and execute custom solutions tailored to an organization’s specific needs, while our managed services ensure ongoing support and optimization of data infrastructure. By partnering with KeyCore, businesses can maximize the value of their data investments and achieve robust analytics capabilities across their ecosystem.

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AWS Architecture Blog

Amazon API Gateway offers a robust framework for enterprises looking to manage APIs efficiently. By integrating with various AWS services like AWS Lambda and Amazon DynamoDB, businesses can create a scalable and customizable API management (APIM) solution that accommodates the intricate demands of large-scale operations.

Components of the Solution

The enterprise API management solution leverages Amazon API Gateway to handle incoming API requests. This service acts as a front door for applications to access data, business logic, or functionality from backend services. AWS Lambda plays a crucial role by running code in response to these requests without the need for server management, thereby simplifying the operational overhead.

Amazon DynamoDB is employed to store and retrieve data, ensuring seamless scalability and performance. This NoSQL database service fits seamlessly into the APIM architecture, providing low-latency data access, which is essential for maintaining high-performance standards in enterprise environments.

Customization and Scalability

The solution is customizable, allowing enterprises to tailor the APIM setup to their specific needs. Businesses can define custom usage plans and quotas, enabling them to optimize API usage and control access efficiently. Additionally, the integration of AWS Identity and Access Management (IAM) ensures secure access control, critical for protecting sensitive API endpoints.

Scalability is a significant aspect of this solution. By utilizing AWS services, enterprises can adapt to varying loads and scale their API infrastructure seamlessly. This flexibility is vital for businesses that experience fluctuating API traffic volumes, ensuring consistent performance without the risk of downtime or degraded service.

KeyCore’s Expertise

KeyCore can assist enterprises in deploying this comprehensive API management solution. With deep expertise in AWS services, KeyCore can help design, implement, and optimize the architecture to meet unique business requirements. Our team ensures that the APIM solution not only addresses current needs but is also adaptable for future growth, maintaining alignment with enterprise IT strategies.

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AWS Partner Network (APN) Blog

Varsity Yearbooks Transforms with SaaS and CleanSlate
Varsity Yearbooks faced significant market challenges in the educational services industry. CleanSlate Technology Group helped them transition from a traditional yearbook business to a modern Software-as-a-Service (SaaS) model. By leveraging AWS services, CleanSlate accelerated feature delivery and increased market share for Varsity Yearbooks. As a trusted AWS SaaS Competency Partner, CleanSlate enabled a digital transformation, ensuring the yearbook company could meet evolving customer needs and remain competitive.

Advanced Multiomics Analysis with Illumina and AWS
Illumina has enhanced multiomics data analysis by hosting its suite of tools on AWS. This includes the DRAGEN™, Illumina Connected Analytics, Correlation Engine, and Illumina Connected Multiomics tools. These solutions offer robust capabilities for quality control, data aggregation, and advanced analytics. Researchers can construct scalable, secure analytical pipelines while ensuring data privacy, security, and compliance at scale. By leveraging AWS infrastructure, Illumina empowers researchers to achieve more accurate and comprehensive multiomics insights.

Enhancing Call Centers with Amazon Connect and Amazon Bedrock
Call center operations are being transformed through the Agent AI Ally solution. This system uses generative AI, powered by Amazon Bedrock and Anthropic’s Claude 3.5 Sonnet model, to provide real-time, contextual support to agents. With integrations of AWS services like Amazon Connect, Transcribe, and Kendra, this solution delivers instant insights and product information, enhancing agent performance and customer satisfaction. The AI-driven assistance improves customer interactions by analyzing responses in real time, boosting call center efficiency.

Recognizing New AWS Partners and Specializations
In February, AWS welcomed 150 new or renewed partners to their Competency, Managed Service Provider (MSP), Service Delivery, and Service Ready programs. These partners, covering a range of workloads, solutions, and industries, help AWS customers achieve their business objectives. With an emphasis on customer success, the new designations enable AWS users to leverage partner expertise, maximizing the benefits offered by AWS.

Veeam and AWS: Enhancing Data Protection and Security
Veeam’s integration with AWS security best practices equips organizations with robust solutions for data protection and regulatory compliance. By deploying Veeam on AWS, businesses can enhance their security resilience. This partnership ensures that organizations maintain compliance while benefiting from improved data protection strategies in the cloud.

AWS Partner Profitability Framework Explained
The AWS Partner Profitability Framework is designed to maximize business value through the AWS Partner Network (APN). This framework encourages partners to broaden their value and deepen expertise across various business models. According to a 2022 Canalys study, partners with diverse offerings can achieve a $6.40 multiplier per $1 spent on AWS solutions. The framework is an intuitive approach to optimize the partner journey and enhance business outcomes.

How KeyCore Can Assist
As a leading AWS Consultancy, KeyCore can help businesses navigate these transformative solutions. Whether transitioning to a SaaS model with AWS, implementing advanced data analytics, or enhancing security, KeyCore provides expert guidance and support. Our expertise in AWS services ensures businesses can leverage these innovations for maximum benefit. By partnering with KeyCore, organizations can confidently embark on their digital transformation journey.

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AWS Cloud Enterprise Strategy Blog

Measuring Software Development Productivity for CTOs

In the current business climate, CFOs are increasingly demanding proof of returns on technology investments. To address this, CTOs need to measure software development productivity effectively. This can be achieved by focusing on four key dimensions: business value, speed to market, delivery reliability, and team health.

By evaluating business value, organizations can align software development efforts with strategic goals, ensuring that technological advancements contribute to measurable business growth. Speed to market is essential for maintaining competitive advantage, enabling companies to rapidly introduce innovative solutions to the market. Delivery reliability ensures that software projects are consistently completed on time and within budget, reducing risks associated with project overruns. Finally, assessing team health can help maintain a productive and engaged workforce, which is critical for sustained success.

These metrics collectively help CTOs to demonstrate how their teams are creating tangible impacts, improving transparency, and justifying technology investments to the broader business. By leveraging these insights, organizations can optimize their development processes, prioritize effectively, and drive continuous improvement.

Transforming Corporate Values into Working Principles

Many companies fall short when it comes to integrating corporate value statements into everyday operations. Phrases like “Integrity” and “Innovation” often appear on walls and websites without influencing organizational behavior. Research from MIT Sloan in 2020 highlighted the disconnect between stated values and actual corporate culture.

To bridge this gap, leaders need to transform empty values into actionable principles that guide decision-making and behavior at every level of the organization. This involves translating broad terms into specific, relatable actions that staff can understand and implement. Whether managing a startup or a multinational company, the focus should be on creating a culture that embodies these values in daily operations, fostering a genuine and cohesive organizational environment.

By embedding these principles into the organizational fabric, leaders can ensure that values are more than just words—they become a driving force for innovation, collaboration, and integrity.

How KeyCore Can Help

At KeyCore, we understand the complexities of measuring software development productivity and implementing effective corporate values. Our expertise in AWS consulting services allows us to assist organizations in harnessing the full potential of cloud technologies, optimizing development processes, and aligning them with strategic business objectives.

We offer tailored solutions that focus on key productivity metrics, helping organizations to improve speed to market, delivery reliability, and team health. Additionally, our leadership workshops and strategic advisory services can guide businesses in transforming their corporate values into actionable principles, fostering a culture that promotes sustained growth and innovation. Visit KeyCore.dk to learn more about our comprehensive AWS services and how we can drive your business success.

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AWS HPC Blog

Explore how to enhance application functionality by employing multiple containers within AWS Batch. This approach allows for the coordination of various applications in separate containers under a single AWS Batch job definition, streamlining the deployment process.

Coordinating Multiple Applications

By using multiple containers, developers can manage distinct applications in a unified job definition. Each container can perform specific tasks, ensuring that the applications remain decoupled yet coordinated. This architecture enhances the flexibility and maintainability of applications, allowing for independent scaling and updates.

Resource Sharing Between Containers

One of the significant advantages of utilizing multiple containers in AWS Batch is the ability to share resources. Containers can efficiently exchange data and use shared storage volumes, reducing redundancy and improving performance. This leads to more efficient resource utilization, which is crucial in high-performance computing environments where resource optimization is paramount.

Benefits of Scalable Deployments

Utilizing multiple containers for AWS Batch jobs enables scalable deployments. This method allows teams to deploy applications that can grow with demand while maintaining performance and reliability. By isolating applications in separate containers, developers can allocate resources dynamically, contributing to cost-effective scaling.

How KeyCore Can Assist

KeyCore offers expertise in AWS Batch and container orchestration. Our team can help businesses implement multi-container strategies that enhance application functionality and resource efficiency. From designing scalable architectures to optimizing resource sharing, KeyCore ensures that clients maximize their AWS investments for high-performance computing tasks.

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AWS Cloud Operations Blog

Centralized Management of AWS Health Notifications

Amazon Web Services (AWS) has introduced AWS managed notifications, providing a streamlined approach to manage and view notifications through the AWS User Notifications service. Currently, users can access AWS Health events as managed notifications. This centralized system ensures users remain informed about crucial updates impacting operations and account health. The AWS User Notifications service offers flexible channels for receiving these alerts, empowering users to maintain an efficient operational workflow.

By leveraging AWS managed notifications, users can consolidate their notifications, reducing the need to access multiple platforms for updates. This centralization facilitates improved organizational communication and prompt responses to any changes that affect service availability or performance. For organizations, the integration with AWS Health events enhances the ability to monitor and react to operational health data efficiently.

Automating Incident Management with AWS Step Functions

In collaboration with Hapag-Lloyd AG, AWS has demonstrated the effective use of AWS Step Functions in automating incident management. This initiative, led by Grzegorz Kaczor, Daniel Steenbock, Michael Graumann, and Daniel Moser, responds to the modern industry’s demands for quick and reliable incident response mechanisms. Hapag-Lloyd’s Web and Mobile department previously established observability for serverless applications, and this automation marks a significant advancement.

AWS Step Functions serve as a powerful tool for coordinating complex workflows, allowing Hapag-Lloyd to automate and streamline incident management processes. This automation enables rapid identification and resolution of incidents, enhancing customer experiences by minimizing service disruptions. The integration of Step Functions into incident management workflows reduces manual intervention, thereby reducing the risk of human error and increasing operational efficiency.

Organizations looking to improve their incident response capabilities can greatly benefit from implementing AWS Step Functions, which offers scalable and reliable solutions for managing increasing operational complexities in cloud environments.

How KeyCore Can Assist

KeyCore is at the forefront of AWS consultancy in Denmark, offering expertise in implementing and managing AWS solutions. For businesses seeking to optimize their notification management and incident response systems, KeyCore provides comprehensive services including the integration of AWS managed notifications and automation of incident management with AWS Step Functions. Our team of AWS experts ensures that organizations can harness these tools effectively, improving operational resilience and customer satisfaction. Visit our website to learn more about our tailored services and how we can support your AWS journey.

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AWS for Industries

Software-defined Vehicles and AI Innovations

The automotive industry is on the brink of a revolution with the convergence of Software-defined Vehicles (SDV), Generative Artificial Intelligence (GenAI), and the Internet of Things (IoT). This fusion is set to transform vehicles into AI-defined entities, bringing forth a new era of mobility. Future vehicles will not only drive autonomously but will continuously evolve with every update, making them smarter, safer, and more personalized over time. This transformation will redefine user experiences, allowing vehicles to adapt to individual preferences and driving styles.

AI-defined vehicles will leverage the power of GenAI to analyze vast amounts of data from IoT devices, enabling real-time decision-making and predictive maintenance. This will enhance operational efficiency and reduce downtime, leading to safer and more reliable transportation solutions. As the automotive industry embraces this technological shift, companies will need to stay ahead by adopting innovative solutions and ensuring seamless integration of AI with existing vehicle systems.

KeyCore can provide expertise in integrating AWS solutions for automotive companies, helping facilitate this transition towards AI-defined vehicles.

SCADA Disaster Recovery with AWS

Amazon Web Services (AWS) has launched a new workshop focused on SCADA Disaster Recovery for Inductive Automation’s Ignition. This workshop serves as a comprehensive guide for utility companies looking to establish a cloud-based disaster recovery environment using AWS. By providing a step-by-step approach, it ensures that users can effectively set up and manage their disaster recovery operations, thereby enhancing system resilience and minimizing downtime.

The workshop is particularly beneficial for companies reliant on SCADA systems to monitor and control industrial processes. It offers practical insights into implementing disaster recovery best practices, leveraging AWS’s robust infrastructure and services. This initiative reflects AWS’s commitment to supporting utility companies in maintaining operational continuity and protecting critical data.

KeyCore’s team of AWS experts can assist in designing and implementing tailored disaster recovery solutions, ensuring seamless integration with existing SCADA systems.

Enhancing Direct-to-Consumer Marketing with Generative AI

For Consumer Packaged Goods (CPG) companies, leveraging first-party data is crucial for mastering direct-to-consumer marketing. The integration of Generative AI holds the key to crafting personalized experiences for customers, enhancing engagement, and improving brand loyalty. By utilizing AI-driven insights, CPG companies can optimize marketing strategies, ensuring that they resonate with their target audience.

The shift towards data-driven marketing allows companies to maintain brand control and improve profit margins. Generative AI enables the analysis of consumer behavior patterns, facilitating the creation of tailored content and offers that align with individual preferences. This approach not only boosts customer satisfaction but also drives long-term business growth.

KeyCore offers advanced solutions to help CPG businesses harness the power of Generative AI and AWS services, empowering them to deliver personalized marketing campaigns effectively.

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AWS Messaging & Targeting Blog

Registering a Sender ID is an essential step for businesses aiming to build a reliable communication channel with customers via SMS in certain countries. The AWS End User Messaging V2 APIs facilitate this process, helping businesses navigate the complexities of obtaining a Sender ID in regions that mandate registration, such as Jordan, the Philippines, and Qatar.

The registration process involves several steps and legal requirements to ensure compliance with local regulations. By securing a Sender ID, businesses can enhance brand recognition and trustworthiness in their SMS communications, establishing a direct connection with their audience. This process is crucial for businesses looking to expand their reach and engage effectively with customers in international markets.

Registering for a US SMS Short Code

In the United States, the process of registering for an SMS short code is governed by stringent requirements imposed by mobile carriers. AWS End User Messaging simplifies this process, providing a structured path to obtaining a US SMS short code. These short codes are vital for businesses that rely on SMS for marketing, notifications, or customer service, as they offer higher throughput and better deliverability compared to regular phone numbers.

The guide covers the detailed application process, helping businesses understand the necessary documentation and compliance standards needed to secure a short code. By leveraging AWS’s services, businesses can integrate SMS capabilities seamlessly into their existing AWS infrastructure, providing a cohesive and scalable messaging solution.

Automating Amazon SES SMTP Credentials

Amazon Simple Email Service (SES) offers a robust solution for scalable and secure email communications. However, managing SMTP credentials in SES is critical to safeguarding against unauthorized access and potential misuse, given the prevalence of email threats.

The automation of SMTP credential creation and rotation is a key practice in maintaining security and efficiency. By automating these processes, businesses can ensure that their communications remain protected while reducing administrative overhead. AWS provides tools and best practices to implement such automation, enabling organizations to maintain a secure email infrastructure without compromising on scalability or performance.

KeyCore’s Expertise in AWS Messaging Solutions

At KeyCore, Denmark’s leading AWS consultancy, we specialize in assisting businesses with their AWS messaging strategies. Whether it involves registering Sender IDs, obtaining US SMS short codes, or automating SES credential management, our team brings extensive expertise and practical solutions tailored to your needs.

Our professional and managed services ensure that your messaging infrastructure is compliant, secure, and optimized for business growth. By partnering with KeyCore, businesses can leverage our deep understanding of AWS services to enhance their communication channels and achieve their messaging goals efficiently.

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AWS Marketplace

Challenges in Software Procurement for Higher Education

Universities face unique challenges when managing third-party software procurement. The diversity in academic programs and administrative processes often require a wide range of specialized software solutions. Traditional procurement processes can be slow and cumbersome, leading to delays in acquiring essential tools needed for educational and operational purposes.

Private Marketplace Solutions

AWS Marketplace offers a solution tailored for these challenges through the Private Marketplace. This feature allows institutions to customize their procurement process by creating a curated list of approved software products. These products can be centrally managed and distributed across departments, simplifying both the selection and purchase processes.

Implementation Guidance

Implementing a Private Marketplace involves several key steps. First, institutions need to assess their current software inventory and procurement processes. Next, they can work with AWS to set up a Private Marketplace that aligns with their needs. By collaborating with stakeholders in IT and procurement departments, universities can establish policies and procedures that ensure compliance and efficiency. Regular reviews and updates to the marketplace ensure that it remains relevant and useful.

Business Value and Support from KeyCore

Streamlining software procurement with AWS Marketplace can significantly reduce the time and effort required to deploy new software solutions, allowing universities to focus more on educational innovations. It also ensures compliance with procurement policies and enhances security by centralizing software management. KeyCore, as a leading AWS consultancy in Denmark, can assist in setting up and customizing Private Marketplaces for educational institutions. By leveraging KeyCore’s expertise, universities can maximize the benefits of AWS Marketplace and optimize their software procurement strategies efficiently.

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

In today’s fast-paced digital world, security leaders face the challenge of balancing rapid technological adoption with robust security measures. This is especially true as organizations embrace transformative technologies like generative AI and expand their presence in the cloud. Such expansion brings both opportunities and challenges, particularly in maintaining strong security controls and visibility across increasingly complex landscapes.

Amazon’s re:Inforce 2025 event highlights this balancing act by offering insights into how organizations can innovate securely in the cloud. The event emphasizes that secure cloud innovation is a continuous journey, requiring constant adaptation to new technologies and threats. Security leaders are encouraged to leverage AWS’s comprehensive security tools and best practices to protect their digital assets while fostering innovation.

Leveraging Amazon Verified Permissions for Containerized Workloads

As organizations increasingly adopt containerization, managing access control and authorization becomes complex, particularly across varied environments like on-premises and multi-cloud setups. Containerization provides benefits such as portability, scalability, and efficient resource utilization, but also demands robust security strategies.

Amazon Verified Permissions offers a scalable solution for managing permissions and fine-grained access control within containerized workloads. This blog post explores four architectural patterns using Amazon Verified Permissions for application authorization in Kubernetes environments. These patterns provide a framework for implementing effective access control, enhancing security across diverse deployment scenarios.

By utilizing Amazon Verified Permissions, organizations can achieve granular control over who can access specific resources, ensuring that only authorized users have the ability to interact with critical system components. This is particularly vital in environments where workloads are distributed across multiple platforms and locations.

How KeyCore Can Help

KeyCore offers expert guidance and implementation services to help organizations navigate the complexities of cloud security and manage permissions effectively. With extensive experience in AWS technologies, KeyCore assists clients in implementing best practices for secure cloud innovation and containerized workload management. Our team can help design and deploy security solutions tailored to your unique requirements, ensuring robust protection while enabling agility and growth.

Whether you’re looking to enhance your cloud security posture or optimize containerized workload management, KeyCore can provide the expertise and support needed to achieve your goals securely. Learn more about our offerings at KeyCore.

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Front-End Web & Mobile

Building Real-Time Apps with AWS AppSync Events’ WebSocket Publishing

In today’s digital landscape, real-time features are crucial for modern applications. Whether it’s collaborative tools, live dashboards, or interactive games, users expect instantaneous updates as they engage with apps. AWS AppSync Events, a fully-managed service for serverless WebSocket APIs, simplifies the process of adding real-time capabilities to applications. This service provides the infrastructure needed to create applications that deliver seamless and immediate updates, enhancing user experience and engagement.

By leveraging AWS AppSync Events, developers can focus on building features rather than managing backend infrastructure. This allows for efficient scaling, reliability, and reduced operational complexity. The integration of WebSocket APIs facilitates a two-way interactive communication session between the user and the server, ensuring updates are pushed in real-time. This is essential for applications that require instant feedback and communication, such as online gaming and collaborative platforms.

Amplify Hosting Announces Skew Protection Support

Deployment skew between client and server resources is a common challenge in web application development. AWS Amplify Hosting has introduced deployment skew protection, ensuring a seamless user experience during application deployments. This feature verifies consistency between the client-side and server-side resources, mitigating version mismatch issues that can disrupt user experience.

The complexity of modern web applications, which consist of numerous interconnected components, makes this feature essential. By automatically managing discrepancies during updates, Amplify Hosting supports developers in maintaining application integrity and provides users with a smooth transition during deployments. This enhancement reinforces the reliability of applications hosted on AWS Amplify, contributing to better user satisfaction and engagement.

Simplifying Multi-App Management in AWS Amplify Hosting

AWS Amplify Hosting has enhanced its capabilities by enabling the connection of multiple Amplify apps to a single repository. This improvement is particularly beneficial for developers using monorepo architectures. With a single webhook per repository for all associated apps, the integration with Git providers is streamlined, simplifying the development workflow and reducing administrative overhead.

This change allows developers to manage multiple apps more efficiently and reduces the complexity associated with handling multiple repositories. It facilitates a more cohesive development process, ensuring that updates and deployments are consistent across all applications. Such enhancements in multi-app management support better organization and efficiency, promoting faster development cycles and improved application performance.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, can provide expert guidance and implementation services for businesses looking to leverage AWS AppSync Events and AWS Amplify Hosting. Our professional services team can assist in designing real-time applications using serverless WebSocket APIs, ensuring seamless integration and optimal performance. Additionally, KeyCore’s managed services can support ongoing application management, ensuring deployment skew protection and efficient multi-app management. By partnering with KeyCore, businesses can enhance their AWS infrastructure and improve application delivery, ensuring a superior user experience.

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Innovating in the Public Sector

AWS Marketplace Achieves Awardable Status for DoD Work

Amazon Web Services (AWS) has announced that AWS Marketplace has been designated as “Awardable” within the Department of Defense (DoD) Platform One (P1) Solutions Marketplace. This significant recognition allows DoD organizations to efficiently access and procure solutions through AWS Marketplace using streamlined acquisition pathways. The designation underscores AWS’s commitment to supporting government agencies with innovative solutions that enhance procurement efficiency and compliance.

Optimizing Scientific Workflows with Amazon EC2 Spot Instances

Public sector organizations are increasingly running scientific data processing workloads on AWS, which presents challenges related to cost and workload management. Amazon EC2 Spot Instances offer a cost-efficient method, providing up to 90 percent savings compared to On-Demand pricing by leveraging unused Amazon Elastic Compute Cloud (EC2) capacity. However, the sporadic nature of Spot Instances necessitates a careful strategy for time-sensitive workloads. Organizations can utilize Amazon Q Business to identify optimal opportunities for leveraging Spot Instances, balancing cost savings while maintaining critical research operation momentum.

Enhancing Research IT Operations with AWS: Best Practices

Academic research IT departments are tasked with integrating cloud computing benefits with their existing infrastructure. At the Supercomputing 2024 (SC24) conference, AWS facilitated a panel with leaders from Emory University and the Royal Melbourne Institute of Technology (RMIT) discussing how AWS augments their research capabilities. Using AWS, institutions achieve greater scalability, security, and collaborative opportunities, complementing their on-premises infrastructure. The panel highlighted strategies for enhancing research operations, showcasing AWS as a pivotal partner in advancing academic research IT.

AWS State, Local, and Education Learning Days

With an impending global IT skills shortage projected for 2026, AWS addresses this challenge by hosting AWS State, Local, and Education Learning Days. These free, in-person events provide state, local government, and education professionals with essential cloud skills training. The events focus on emerging skills in artificial intelligence, architecture, data management, and software development, equipping participants to meet future IT demands effectively.

Launch of Federal Addendum to AWS Marketplace Standard Contract

AWS has introduced a Federal Addendum to the Standard Contract for AWS Marketplace. This innovation facilitates government software procurement by offering a pre-negotiated, consistent end-user license agreement (EULA) for each purchase. The Federal Addendum simplifies the approval process for third-party software solutions, accelerating government access and adoption of essential technologies.

Enhancing Student Outcomes with Amazon Redshift ML

Higher education institutions face pressure to improve student retention and graduation rates. Amazon Redshift ML offers a robust solution by enabling institutions to leverage machine learning for predictive analytics. This capability helps identify at-risk students, allowing institutions to implement targeted intervention strategies. By proactively using data analytics, educational institutions can enhance program efficacy and provide students with clearer paths to degree completion.

How KeyCore Can Assist

At KeyCore, Denmark’s leading AWS consultancy, we specialize in helping public sector entities and educational institutions harness AWS’s full potential. Whether it’s navigating procurement complexities, optimizing scientific workflows, or enhancing research IT operations, our expertise ensures seamless integration and maximum value from AWS services. Our tailored managed and professional services support organizations in achieving strategic goals while leveraging AWS’s robust cloud solutions. Learn more about how KeyCore can empower your cloud transformation journey at KeyCore.dk.

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