Summary of AWS blogs for the week of monday Mon Feb 17

In the week of Mon Feb 17 2025 AWS published 53 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Introducing CDK Garbage Collection

The AWS Cloud Development Kit (CDK) is an open-source framework that revolutionizes how developers define cloud infrastructure. By allowing the use of familiar programming languages, CDK simplifies the integration of AWS services. A standout feature is its Constructs, which are higher-level abstractions that reduce the complexity of AWS service integration. Core functionalities like CDK Assets further streamline infrastructure definition, making the development process more efficient and manageable.

AWS CloudFormation: 2024 Year in Review

AWS CloudFormation remains a cornerstone tool for modeling and provisioning cloud application infrastructures through code-based templates. Users benefit from the flexibility to write templates in JSON, YAML, or via programming languages like Python, Java, and TypeScript, especially when leveraging the AWS CDK. The year 2024 saw enhancements in CloudFormation’s capabilities, reinforcing its role as an essential tool for infrastructure as code, providing users with robust infrastructure management and automation solutions.

Enhancing Development with Amazon Q Developer Agents

Amazon Web Services has introduced AI-powered agents for Amazon Q Developer, marking a significant advancement in developer productivity tools. These AI agents redefine the development process by automating tasks such as documentation and unit testing. By streamlining workflows and improving code quality, the AI agents empower developers to focus on innovative solutions rather than routine tasks, thereby enhancing overall productivity and software quality.

Managing Application Configurations with AWS AppConfig

Managing configurations in modern software development, especially across multiple environments and tenants, is challenging. AWS AppConfig emerges as a solution, facilitating the efficient handling of distinct settings required by different environments and tenants. It addresses challenges related to consistency, version control, and security while ensuring efficient troubleshooting. This service helps organizations maintain high standards of application configuration management, crucial for supporting multi-tenant architectures.

How KeyCore Can Assist

KeyCore, as an AWS consultancy leader, offers extensive expertise in implementing and optimizing AWS solutions. Whether it’s simplifying infrastructure with CDK, leveraging CloudFormation for code-based provisioning, integrating AI-powered development enhancements, or managing complex configurations with AppConfig, KeyCore provides tailored solutions. Through professional and managed services, KeyCore ensures that businesses can fully harness the power of AWS to drive innovation and efficiency.

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Official Machine Learning Blog of Amazon Web Services

Modernizing Data Science with AWS

Rocket Companies significantly modernized their data science infrastructure with AWS, drastically enhancing their operational efficiency. By leveraging AWS, they reduced the delivery time for data solutions from eight weeks to under one hour, achieved a 99% reduction in incident tickets over 18 months, and powered 10 million AI-driven decisions daily. This modernization effort also provided a seamless data science development experience, allowing Rocket Companies to focus on innovation and customer satisfaction. By shifting to AWS, Rocket Companies not only improved their operational agility but also significantly enhanced their product delivery pipeline, ensuring they remain competitive in a rapidly evolving market.

Real-Time Voice Translation with Amazon Connect

AWS collaborated with DXC to integrate near real-time voice-to-voice (V2V) translation capabilities into Amazon Connect. This integration allows businesses to break down language barriers and offer enhanced customer support in multiple languages. By using advanced AWS AI services, DXC has developed a customizable solution that can process and translate calls with minimal latency, improving the efficiency and reach of customer service teams globally. This innovation highlights the potential for AWS in creating global communication solutions that cater to diverse customer bases, driving international business growth and customer engagement.

Intelligent Document Processing with Amazon Bedrock

Amazon Bedrock offers a sophisticated workflow for processing complex documents through its AI-powered tools. The solution excels in handling multi-page healthcare documents by utilizing Amazon Bedrock’s tool use capabilities accessed through the Converse API. This advanced orchestration allows for intricate document analysis beyond mere text processing, engaging various external tools and APIs for comprehensive content analysis. This capability is crucial for sectors that handle diverse document types, enabling organizations to streamline operations and improve data accuracy efficiently.

Reducing Hallucinations in LLMs with Amazon Bedrock

Amazon Bedrock addresses the challenge of hallucinations in Large Language Models (LLMs) through a verified semantic cache. This feature ensures that user queries are matched against curated responses before generating new ones, thereby enhancing the reliability of AI-generated responses. By integrating this solution, businesses can achieve improved response accuracy and reduced latency, crucial for critical sectors like healthcare, finance, and legal services. The approach combines the flexibility of LLMs with the assurance of verified data, providing robust and reliable AI solutions that minimize misinformation risk.

Continuous Self-Instruct Fine-Tuning on Amazon SageMaker

The continuous self-instruct fine-tuning framework on Amazon SageMaker, powered by DSPy, enables dynamic AI model improvements. This AI system generates synthetic datasets for self-instruction and fine-tunes models using SFT, incorporating human feedback to enhance model performance. This integration of reinforcement learning (RLHF/RLAIF) aligns the model’s output with human preferences, optimizing accuracy and user satisfaction. Such frameworks are essential for developing adaptive AI systems that continuously evolve to meet user expectations.

Maximizing File Server Data with Amazon Q and FSx

Amazon Q, a generative AI-powered assistant, connects with Amazon FSx for Windows File Server to unlock insights from file server data. This connection allows businesses to securely analyze and query stored data, enhancing information retrieval and decision-making processes. By utilizing Amazon Q’s capabilities, organizations can maximize their data’s potential, transforming stored files into strategic assets that inform business strategies and drive growth.

Generating Synthetic Counterparty Risk Data with Amazon Bedrock

Amazon Bedrock’s LLMs and Retrieval Augmented Generation (RAG) techniques enable the creation of high-quality synthetic counterparty risk data for financial applications. This process is pivotal for generating reliable data for over-the-counter (OTC) derivatives, providing financial institutions with the necessary insights for risk management. By applying these techniques across various business domains, organizations can produce synthetic datasets that facilitate advanced analysis while minimizing real-world data dependencies.

Enhancing Customer Support with Generative AI at Verisk

Verisk transformed its customer support capabilities by integrating generative AI into its Premium Audit Advisory Service (PAAS). This advanced conversational chat platform enhances support processes, providing efficient and informed interactions. The incorporation of generative AI improves customer engagement and operational efficiency, showcasing the transformative impact of AI in streamlining business processes and enhancing client services.

Financial Services Workflows with Amazon Bedrock Guardrails

Amazon Bedrock integrates automated reasoning checks into financial services workflows, providing verifiable explainability for critical operations. This ensures compliance and accuracy in scenarios such as legal triaging, underwriting validation, and claims processing. Organizations benefit from enhanced transparency and accountability in their processes, crucial for maintaining trust and efficiency in the financial sector.

Optimizing SageMaker HyperPod Governance

The best practices for managing SageMaker HyperPod tasks offer businesses a seamless administration and data science experience. By following these guidelines, organizations can effectively govern AI development tasks and ensure optimized resource allocation. This approach supports the continuous innovation of generative AI applications, fostering a collaborative and productive environment for data scientists and administrators alike.

Accelerating Race-Day Issue Resolution with F1 and AWS

Formula 1 leveraged generative AI through a collaboration with AWS to enhance race-day issue resolution. By implementing an RCA assistant powered by Amazon Bedrock, F1 reduced manual interventions, allowing teams to focus more on innovation. This solution demonstrates how generative AI can significantly enhance operational efficiency, enabling F1 to deliver an exceptional experience to fans and partners. The partnership showcases the potential of AI to transform sports and entertainment industries, driving performance and engagement.

Improving Bicycle Safety with Amazon Rekognition

AWS introduced a machine learning solution using Amazon Rekognition to enhance bicycle safety. This system detects vehicles in recorded bike ride videos, identifying those that pass too closely to cyclists. By generating video clips of such events, cyclists can share these with authorities to advocate for safer road conditions. This innovation highlights AWS’s commitment to leveraging technology for public safety and enhancing urban cycling experiences.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy, offers expert guidance in harnessing AWS’s advanced capabilities to drive innovation in data science, AI, and operational efficiency. KeyCore’s experienced team can tailor AWS solutions to meet specific business needs, ensuring seamless integration and maximizing the value of your AWS investments. Whether modernizing data science solutions, integrating AI-powered applications, or optimizing cloud infrastructure, KeyCore provides comprehensive support to help your business achieve its strategic goals.

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Announcements, Updates, and Launches

AWS Developer Day – February 20

Mark the calendar for February 20 to participate in the AWS Developer Day, a virtual event tailored for developers and teams eager to integrate cutting-edge, responsible generative AI into their development processes. This event aims to accelerate innovation by facilitating the adoption of AI technologies across the development lifecycle.

Keynote by Jeff Barr

The event features a keynote address by Jeff Barr, Vice President of AWS Evangelism, who will share insights on the future of software development. His speech will focus on the transformative impact of emerging technologies and how they shape the next generation of software solutions.

Additional Announcements

In addition to the Developer Day, AWS is introducing several updates, including enhancements to the AWS Trust Center, which now offers expanded resources to ensure compliance and security. AWS Well-Architected for Enterprises has also received updates, providing enterprises with improved guidelines and practices to optimize their cloud architecture.

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Official Database Blog of Amazon Web Services

Improving Query Latency with Amazon Aurora PostgreSQL Optimized Reads

Overview

Mindbody faced significant scaling and performance challenges due to data growth. To address these issues, they adopted Amazon Aurora PostgreSQL Optimized Reads. This approach involved a detailed root cause analysis and a series of steps to enhance their database performance.

Challenges and Solutions

The main challenge was the latency in query responses, attributed to rapid data growth. By implementing Aurora Optimized Reads, Mindbody was able to streamline their database processes. The solution included optimizing how data is read and processed, which significantly reduced the latency.

Benefits

The implementation led to improved query performance and cost savings. Additionally, Mindbody experienced enhanced price predictability, which is crucial for long-term financial planning. These improvements collectively supported better user experiences and operational efficiencies.

Multi-Tenant Vector Search with Aurora and Bedrock

Introduction to Multi-Tenancy

The use of Amazon Aurora PostgreSQL in conjunction with Amazon Bedrock Knowledge Bases allows for a seamless integration of data sources into generative AI applications. Bedrock provides a fully managed service, offering a variety of foundation models (FMs) through an API.

Self-Managed vs. Fully Managed Approaches

The first approach involves self-managing the vector search using Aurora. This allows developers to maintain greater control over their setup. The second, fully managed approach, leverages Amazon Bedrock, simplifying the integration process and reducing the administrative overhead.

Implementation and Flexibility

Both approaches provide flexibility by supporting various FMs, allowing users to select models that best fit their specific needs. This flexibility is especially beneficial for applications requiring customized AI solutions.

Managing Users in Amazon RDS Custom for Oracle with Multitenant Option

Oracle Multitenant Overview

The Oracle Multitenant feature, available since Oracle database 12cR1, allows for the use of multiple pluggable databases (PDBs) within a single Oracle database. This architecture facilitates better manageability and consolidation.

User Management Strategies

Various strategies exist for managing users within the container database (CDB) and PDBs. These include different approaches to account creation and privilege management, which can be tailored to fit specific business scenarios and security requirements.

Enhanced Management and Security

Implementing these strategies within Amazon RDS Custom for Oracle helps in effectively managing user privileges, thus enhancing database security and operational efficiency. This is crucial for businesses that rely heavily on Oracle databases for critical operations.

How KeyCore Can Assist

KeyCore, with its comprehensive AWS expertise, can assist organizations in implementing these advanced database solutions. Whether it’s optimizing query performance with Aurora, integrating AI models with Bedrock, or managing complex Oracle environments, KeyCore provides the technical know-how and strategic guidance necessary to maximize AWS investments and achieve business goals.

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AWS for Games Blog

One of the core principles of cloud computing is cost efficiency, achieved by running compute services only when they are actively needed. Minecraft Java Edition servers hosted on Amazon Elastic Compute Cloud (Amazon EC2) can often incur unnecessary costs, especially when they run continuously without active players. This article explores methods to optimize the cost of running Minecraft servers on EC2 by minimizing the time the servers remain active without player connections.

Understanding EC2 Cost Optimization

Cost optimization involves adjusting server run times to align with actual usage patterns. By analyzing player activity, administrators can configure servers to automatically shut down during periods of inactivity and restart when needed. This can be achieved through scripting and automation, significantly reducing wasted compute resources and associated costs.

Implementing Automation for Cost Savings

Automation scripts or AWS Lambda functions can be employed to monitor server activity. These scripts can trigger EC2 instance state changes based on player presence. For example, a server can be programmed to enter a stopped state when no players are detected for a specified duration and resume operation upon player connection. By leveraging Amazon CloudWatch for monitoring and AWS Lambda for automation, users can ensure that their Minecraft EC2 servers only run when necessary.

KeyCore’s Value in Optimization

KeyCore offers expertise in implementing such cost-saving strategies on AWS. With deep knowledge of AWS services like EC2, Lambda, and CloudWatch, KeyCore can assist in setting up automated workflows tailored to specific usage patterns. This not only optimizes costs but also ensures seamless server availability for end-users.

By leveraging KeyCore’s consultancy services, businesses can efficiently manage their cloud resources while maintaining optimal performance and minimizing expenses. KeyCore can provide tailored solutions to help maximize the value of cloud investments for gaming applications on AWS.

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AWS Training and Certification Blog

The AWS Partner Network (APN) provides a wealth of training resources specifically tailored for Independent Software Vendors (ISVs). These resources are designed to guide ISVs through every stage of their journey on AWS, from getting listed on the AWS Marketplace to leveraging AWS’s vast ecosystem to boost sales and secure funding. Here’s a detailed look at the key educational offerings available to ISVs through APN.

Getting Listed on AWS Marketplace

The first step for many ISVs is to learn how to list their solutions on the AWS Marketplace. The APN offers comprehensive training sessions that walk ISVs through the listing process, ensuring they understand the requirements and best practices for a successful launch. These resources are invaluable for ISVs looking to expand their reach and tap into AWS’s extensive customer base.

Accelerating Growth with Co-Selling Opportunities

Once listed, ISVs can accelerate their growth by engaging in co-selling opportunities with AWS. APN training resources provide insights into how ISVs can effectively partner with AWS’s sales teams to drive customer engagements and close deals. Through these co-selling initiatives, ISVs can significantly enhance their visibility and credibility in the market.

Securing Funding Opportunities

Another critical aspect covered in the training is how ISVs can access AWS funding programs. These programs are designed to support ISVs as they scale their operations and innovate on AWS. The APN training resources detail the eligibility criteria and application processes for these funding opportunities, empowering ISVs to secure the financial support they need to grow.

Comprehensive Learning Pathways

In addition to targeted training modules, APN provides structured learning pathways that encompass a broad range of topics relevant to ISVs. These pathways offer a step-by-step approach, allowing ISVs to build their skills progressively and comprehensively. By following these pathways, ISVs can ensure they are fully equipped to succeed on AWS.

Overall, the AWS Partner Network’s training resources are an essential asset for ISVs looking to thrive on AWS. By leveraging these resources, ISVs can effectively navigate the complexities of AWS Marketplace, enhance their growth strategies, and secure necessary funding.

How KeyCore Can Assist

As Denmark’s leading AWS consultancy, KeyCore can provide expert guidance to ISVs looking to take full advantage of the APN training resources. Our experienced team can help ISVs navigate the AWS ecosystem, optimize their AWS Marketplace listings, and develop effective co-selling strategies. We also offer support in understanding and applying for AWS funding opportunities. By partnering with KeyCore, ISVs can ensure they are maximizing their potential on AWS and achieving their strategic goals.

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Official Big Data Blog of Amazon Web Services

Improve Search Results Using Amazon OpenSearch Service and Amazon Bedrock

Amazon OpenSearch Service and Amazon Bedrock collaborate to enhance search capabilities in AI-powered applications. By integrating these services, users can leverage foundation models (FMs) to understand and search through text, images, audio, and video. This results in more accurate and context-aware search outputs. Additionally, generative AI systems utilize these enhanced search results to formulate original responses, facilitating dynamic human-machine interactions. The capability to process and interpret complex data across various formats transforms traditional search systems into interactive and intelligent platforms, thus offering significant advancements in user experience and operational efficiency.

Enhance Workload Resilience with Amazon EMR Instance Fleet Features

Amazon EMR’s latest instance fleet features significantly bolster the resilience, scalability, and efficiency of big data operations. These advancements enable users to construct more robust data processing architectures on AWS. The enhancements address core challenges faced in managing EMR clusters, ensuring they can scale dynamically based on workload demands. By improving cluster management, users benefit from reduced operational complexity and improved cost efficiency. These features underscore AWS’s commitment to providing scalable, reliable, and flexible big data solutions.

Amazon Redshift’s History Mode for Zero-ETL Integrations

Amazon Redshift introduces a new history mode for zero-ETL integrations, simplifying historical data tracking and analysis. The post details the evolution of zero-ETL, emphasizing its importance for reducing data processing complexity. The history mode feature applies to several integrations, including Amazon Aurora PostgreSQL-Compatible Edition, Amazon Aurora MySQL-Compatible Edition, Amazon RDS for MySQL, and Amazon DynamoDB. This innovation allows users to seamlessly track and analyze historical data without extensive ETL processes, optimizing data management and operational efficiency.

Streamline AWS WAF Log Analysis with Apache Iceberg and Amazon Data Firehose

Apache Iceberg and Amazon Data Firehose simplify AWS WAF log analysis by providing a scalable and cost-effective solution. Users can configure Firehose to deliver AWS WAF logs directly to Apache Iceberg tables in Amazon S3, eliminating the need for complex infrastructure setups. This streamlined process, which covers log ingestion to storage, ensures users only pay for processed data. The solution exemplifies efficient data management practices, significantly reducing the operational overhead associated with log analysis while enhancing analytical capabilities.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, provides expert guidance on leveraging these AWS services to enhance business outcomes. Whether it’s implementing AI-powered search solutions, optimizing big data operations with Amazon EMR, simplifying data tracking with Amazon Redshift’s innovations, or streamlining log analysis with Apache Iceberg and Firehose, KeyCore’s professionals offer tailored solutions to meet unique organizational needs. KeyCore ensures that businesses fully capitalize on AWS’s capabilities to drive innovation and efficiency.

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Networking & Content Delivery

Streamlining DNS Management for AWS PrivateLink Deployment

Large enterprises deploying AWS PrivateLink face several challenges, including simplifying deployment processes, reducing the number of endpoints, and optimizing large-scale costs. A strategic solution to these challenges involves the integration of AWS Transit Gateway with Amazon Route 53 Resolver. This combination facilitates the efficient sharing of AWS PrivateLink interface endpoints across multiple Virtual Private Clouds (VPCs) within an organization. The use of Route 53 Profiles enables organizations to manage DNS effortlessly, leading to improved scalability and cost-efficiency.

By leveraging the capabilities of AWS Transit Gateway, enterprises can drastically enhance network performance and resource sharing, ultimately contributing to a more streamlined deployment of AWS PrivateLink. This integration optimizes network traffic flow and reduces the need for numerous individual interface endpoints, resulting in significant cost savings. The synergy between AWS Transit Gateway and Amazon Route 53 Resolver ensures that DNS management is efficient and aligns with the enterprise’s scaling needs.

For more detailed insights into this integration, AWS provides comprehensive documentation and guidelines to help organizations implement these solutions effectively.

Enhancing Security with Client JA3 Fingerprint and HTTP Header Order

Information security experts often use internet protocol (IP) address-based controls, such as block lists and rate-based rules, to impede malicious traffic. However, relying solely on IP addresses can lead to the inadvertent blocking of legitimate users, especially those sharing an IP address via network address translation (NAT). To mitigate this, security teams can utilize Client JA3 Fingerprinting and HTTP Header Order techniques. These methodologies provide more granular identification of malicious activities without impacting legitimate user traffic.

Client JA3 Fingerprinting involves creating unique identifiers based on TLS handshake parameters, allowing security systems to differentiate between benign and malicious clients accurately. Similarly, analyzing HTTP Header Order provides additional context, helping to identify patterns associated with malicious requests. By incorporating these advanced techniques, organizations can enhance their security posture while reducing false positives, ensuring that legitimate users maintain access without disruption.

For organizations looking to improve their security strategies, integrating JA3 Fingerprinting and HTTP Header Order analysis can be a game-changer. AWS’s robust suite of security tools and services can facilitate the implementation of these techniques, offering a secure and user-friendly environment.

How KeyCore Can Help

KeyCore offers expert consulting and managed services to help organizations optimize their AWS networking and content delivery strategies. Our team can assist in deploying AWS PrivateLink with AWS Transit Gateway and Amazon Route 53 Resolver, ensuring efficient and cost-effective DNS management. Additionally, we provide guidance on enhancing security measures using JA3 Fingerprinting and HTTP Header Order analysis. By partnering with KeyCore, organizations can achieve seamless integration and robust security tailored to their AWS environment. Learn more about our services at KeyCore.dk.

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AWS Compute Blog

AWS Outposts offers an innovative solution for businesses needing the power of AWS infrastructure and services on-premises. This flexibility is essential for workloads demanding low latency, local data processing, or strict data residency requirements. AWS Outposts is available in various form factors, including 42U Outposts racks, allowing organizations to choose configurations that best suit their needs.

Capacity Tasks for Dynamic Reconfiguration

The blog post by Brianna Rosentrater and Adam Duffield introduces the concept of using Capacity Tasks to dynamically reconfigure Outposts capacity. Capacity Tasks enable the adjustment of resource allocations in response to fluctuating demands. This dynamic reconfiguration is crucial for businesses adapting to changing workloads and optimizing their infrastructure usage without manual intervention.

Business Advantages of AWS Outposts

Leveraging Outposts with dynamic capacity adjustments offers several business advantages. By aligning resource allocation with current demand, organizations can improve performance and cost-efficiency. Additionally, this approach supports compliance with data residency regulations by maintaining data within specified boundaries. Businesses benefit from the seamless integration of AWS services, providing consistency with cloud-based operations while meeting local processing needs.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS Consultancy, is equipped to help organizations maximize the benefits of AWS Outposts. With expertise in both professional and managed services, KeyCore can assist in planning, deploying, and optimizing AWS Outposts configurations tailored to specific business requirements. Our team provides insights on leveraging Capacity Tasks for optimal resource management, ensuring clients achieve high performance and cost savings. For more information on how KeyCore can support your AWS Outposts deployment, visit KeyCore’s website.

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AWS for M&E Blog

Media companies today face the challenge of handling a vast amount of content while managing increasingly complex delivery pipelines. To address these demands, Hearst Networks EMEA, a prominent global media and entertainment brand, has embarked on a significant transformation journey by migrating its entire content supply chain (CSC) to Amazon Web Services (AWS). This strategic move aims to streamline operations, adapt to evolving business requirements, and unify disparate processes across the organization.

Streamlining Content Delivery

By leveraging AWS, Hearst Networks EMEA seeks to enhance its content delivery capabilities. The adoption of AWS services enables the company to automate and optimize workflows, ultimately improving the efficiency and speed of content distribution. This shift not only ensures timely delivery but also helps in maintaining high-quality standards across different platforms and regions.

Integrating with SDVI

A significant part of Hearst’s transformation involves integrating with SDVI, a cloud-native media supply chain platform. SDVI provides the tools needed to manage complex media workflows, offering real-time data insights and analytics. This integration allows Hearst Networks EMEA to gain better visibility into its operations, facilitating informed decision-making and resource allocation.

Business Value and Future Outlook

The migration to AWS is more than just a technological upgrade; it’s a strategic initiative that aligns with Hearst’s long-term business goals. By modernizing its infrastructure, Hearst Networks EMEA can better respond to market demands, foster innovation, and create new revenue streams. The flexible and scalable nature of AWS provides the agility needed to adapt to future challenges in the media landscape.

At KeyCore, our expertise in AWS allows us to assist media companies like Hearst Networks EMEA in navigating their digital transformation journeys. We offer tailored solutions that meet specific business needs while ensuring seamless integration and operation on AWS. Whether it’s optimizing workflows or enhancing content delivery, KeyCore provides the critical support necessary for success in the competitive media environment.

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AWS Storage Blog

Managing high-performance file storage can pose significant operational and cost challenges for organizations, especially for those running compute-intensive workloads such as high-performance computing (HPC) or data analytics. This is particularly true for organizations that maintain existing data lakes on Amazon S3 but require POSIX-compliant, high-performance file system access. Amazon FSx for Lustre, a fully managed service, provides a scalable high-performance file system that seamlessly integrates with Amazon S3.

Automatic Data Tiering with Amazon S3

Amazon FSx for Lustre now offers automatic data tiering to Amazon S3. This feature reduces storage costs by automatically moving infrequently accessed data to Amazon S3, while keeping frequently accessed data on high-performance Lustre storage. Organizations can optimize their storage consumption without compromising on performance, ensuring cost-effectiveness for applications that require rapid data retrieval and processing.

Scalable Metadata Performance

For industries like movie studios, managing large volumes of digital content is crucial. Amazon FSx for Lustre enhances metadata operations, allowing for scalable performance even as the volume of files increases. This capability supports industries that rely on extensive metadata management, ensuring that workloads are handled seamlessly and efficiently. FSx for Lustre’s scalable metadata performance helps organizations manage and process large file shares, reducing latency and improving workflow productivity.

PyIceberg and AWS Glue Iceberg REST Endpoint

Modern data lakes require integration with multiple engines to cater to diverse analytics needs, such as SQL querying and stream processing. Apache Iceberg, as an open table format, facilitates transactional data lakes that support these varied analytics demands. PyIceberg, in conjunction with the AWS Glue Iceberg REST endpoint, enables access to Amazon S3 tables, supporting a growing variety of engines and languages. This integration provides organizations with the flexibility to perform complex analytics efficiently while maintaining the integrity of their data lake architecture.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, offers expert services to help organizations optimize their AWS environments. With extensive experience in cloud storage solutions, KeyCore can assist in implementing Amazon FSx for Lustre and integrating it with Amazon S3 for cost-effective and high-performance storage solutions. Our team is also well-versed in building and managing modern data lakes using Apache Iceberg, ensuring seamless integration with AWS Glue and other analytics tools. Whether through professional services or managed support, KeyCore can tailor solutions to enhance operational efficiency and drive business value.

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AWS Architecture Blog

Organizations seeking to enhance their development velocity by adhering to the principles of the twelve-factor app can benefit from understanding how to effectively apply these concepts using Amazon Web Services (AWS). This article explores how the AWS Well-Architected Framework aligns with and supports the implementation of twelve-factor app principles, offering insights into optimizing application development and deployment processes on AWS.

Understanding the Twelve-Factor App Principles

The twelve-factor app methodology is a set of best practices designed to build modern, scalable applications that are suitable for deployment on cloud platforms. These principles cover various aspects, including codebase management, dependencies, configuration, backing services, build and release processes, and runtime environments. By leveraging these methodologies, developers can create applications that are resilient, portable, and easily manageable.

Aligning Twelve-Factor Principles with AWS Well-Architected Framework

The AWS Well-Architected Framework provides a structured approach for designing and operating secure, reliable, efficient, and cost-effective systems in the cloud. It encompasses five key pillars: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization. By applying the twelve-factor principles within this framework, developers can ensure their applications are well-architected and aligned with AWS best practices.

Implementing Twelve-Factor Principles on AWS

To realize twelve-factor app principles on AWS, organizations can utilize various AWS services and tools. For instance, AWS Lambda and Amazon ECS can facilitate building stateless and scalable services. AWS Secrets Manager and Systems Manager Parameter Store can manage configuration and secrets, while AWS CodePipeline and CodeBuild can streamline build and release processes. These services help align development practices with twelve-factor principles, enhancing application agility and operational resilience.

How KeyCore Can Assist

KeyCore offers extensive expertise in both the AWS Well-Architected Framework and twelve-factor app methodologies. By providing tailored consultancy services, KeyCore can assist organizations in aligning their application development strategies with AWS best practices. Whether it involves designing cloud-native applications or optimizing existing workloads, KeyCore can ensure that businesses leverage the full potential of AWS to accelerate development and drive innovation.

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AWS Partner Network (APN) Blog

Seeq’s Advanced Analytics on AWS Enhances Manufacturing Sustainability

Seeq’s advanced analytics platform, designed on AWS, provides a comprehensive solution for manufacturing companies striving for sustainability. By leveraging real-time carbon intensity monitoring and streamlined life cycle assessment (LCA) reporting, the platform empowers manufacturers to track and reduce their carbon emissions effectively. This capability is particularly exemplified through various customer success stories, including a global chemical company that managed to reduce its LCA assessment time by an impressive 90%.

The platform’s integration with multiple data sources and AWS services, such as the Sustainability Insights Framework, allows manufacturers to make informed, data-driven decisions. These decisions facilitate sustainability improvements that are aligned with regulatory requirements and corporate environmental goals. By utilizing AWS’s robust infrastructure, Seeq ensures that manufacturing operations can achieve greater sustainability while optimizing operational efficiency.

How Seeq Achieves This

Seeq’s platform harnesses the power of AWS to aggregate and analyze vast amounts of data from diverse sources. This integration fosters seamless data flow and real-time insights, enabling manufacturers to identify inefficiencies and areas of improvement in their sustainability efforts. As a result, companies can make strategic decisions that not only enhance sustainability but also drive business value.

YugabyteDB Enhances Performance with Amazon Time Sync

YugabyteDB has significantly bolstered its database performance by integrating with the Amazon Time Sync Service on Amazon EC2 instances. This enhancement has refined the platform’s Hybrid Logical Clock mechanism, providing microsecond-accurate reference clocks. The result is a substantial reduction in latency, up to three times less, and a doubling of throughput compared to previous configurations without this service.

This advancement is a pivotal development in the realm of distributed databases, particularly benefiting industries such as fintech, retail, streaming media, and automotive manufacturing. These sectors demand rapid data access with consistent and resilient performance, which is now more achievable with the improved YugabyteDB capabilities.

Integration Benefits

Integrating Amazon Time Sync Service equips YugabyteDB with precise timekeeping capabilities that enhance data consistency and operational efficiency. The improved performance metrics mean that businesses can maintain high availability and reliability of their database operations while achieving faster transaction processing speeds.

How KeyCore Can Assist

KeyCore is well-positioned to help businesses harness these AWS-driven innovations. With expertise in AWS services, KeyCore can assist in implementing Seeq’s analytics platform, ensuring seamless integration with existing systems to maximize sustainability and compliance. Similarly, KeyCore can support companies in deploying YugabyteDB with Amazon Time Sync, optimizing their database performance for enhanced business operations.

Whether it’s through professional services or managed services, KeyCore offers tailored solutions to help organizations capitalize on AWS technologies, driving both technical advancement and business growth.

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AWS Cloud Enterprise Strategy Blog

Building a robust feedback culture is critical for enhancing organizational learning and intelligence. Traditional feedback methods, such as the “sandwich approach” or harsh criticism, often fall short in fostering an atmosphere conducive to growth and development. Companies are now shifting towards more progressive feedback strategies that emphasize excellence, real-time reactions, and a coaching mindset.

Moving Beyond Traditional Feedback

The sandwich approach, which involves surrounding negative feedback with positive comments, often dilutes the impact of the core message and can leave employees with mixed feelings. Similarly, harsh criticisms can demoralize and discourage employees instead of inspiring improvement. Instead, organizations are now employing feedback methods that strive to highlight excellence and provide constructive insights in a more direct yet supportive manner.

Embracing Real-Time Feedback

Real-time feedback is becoming a cornerstone of effective learning cultures. This approach allows for immediate reactions and adjustments, enabling employees to swiftly course-correct and reinforce desired behaviors. By addressing issues as they arise, real-time feedback prevents the buildup of unnoticed errors and fosters a continuous learning environment.

Coaching-Style Interactions

Implementing a coaching-style approach to feedback further enhances learning. This strategy focuses on guiding employees through questions and collaborative problem-solving, rather than providing direct instructions. Coaching interactions encourage employees to think critically, develop problem-solving skills, and take ownership of their growth, leading to a more engaged and competent workforce.

How KeyCore Can Help

KeyCore specializes in helping organizations transition to more effective feedback methods that align with modern business needs. With expertise in AWS cloud solutions, KeyCore can assist in deploying tools and platforms that facilitate real-time feedback and coaching-style interactions. By leveraging these technologies, companies can enhance their learning culture and drive better business outcomes.

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AWS HPC Blog

Agent-based models are becoming a crucial tool for enhancing supply chain resilience. These models offer a simulation-based approach to tackle complex supply chain challenges, leveraging rich data and advanced analytics. By using these models, businesses can predict potential disruptions and mitigate risks effectively.

Understanding Agent-Based Modeling

Agent-based modeling (ABM) involves creating simulations where individual entities, known as agents, interact within a defined environment. Each agent operates based on a set of rules, and collectively, they represent the dynamics of a supply chain. This allows businesses to visualize how individual components of the supply chain interact and affect the whole system.

Building Resilient Supply Chains

Using ABM, companies can simulate various scenarios, such as supplier failures or demand spikes, and analyze their potential impacts. This helps in identifying vulnerabilities within the supply chain and devising strategies to address them. Furthermore, ABM enables businesses to test the effectiveness of different risk management strategies without impacting real-world operations.

Cost Management and Optimization

Beyond risk mitigation, agent-based models can assist in managing and optimizing costs. By simulating different supply chain configurations, businesses can uncover inefficiencies and explore cost-saving opportunities. This approach facilitates informed decision-making, leading to more efficient and cost-effective supply chain operations.

Advanced Analytics and Data Integration

The integration of rich data and advanced analytics with ABM enhances its predictive capabilities. By incorporating real-time data, companies can ensure their simulations reflect current market conditions, leading to more accurate forecasts and strategies. Advanced analytics also allow for deeper insights into supply chain performance and the identification of improvement areas.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy, offers expertise in leveraging AWS technologies to enhance supply chain resilience using agent-based models. Our team can assist with the integration of AWS services such as Amazon SageMaker for machine learning and AWS Lambda for serverless computing to build and deploy robust ABM solutions. With KeyCore’s professional services, businesses can effectively harness the power of ABM to optimize their supply chain operations, reduce costs, and mitigate risks.

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AWS for Industries

Globalizing Smart Manufacturing with AWS Outposts

In the realm of modern manufacturing, the fusion of advanced technologies such as artificial intelligence (AI), machine learning (ML), data analytics, Internet of Things (IoT), and cloud computing is transforming operational landscapes. These innovations enable manufacturers to enhance efficiency, refine quality control, and foster innovation. By leveraging real-time data, predictive analytics, and automation, companies can boost productivity and gain a competitive edge globally. AWS Outposts extends the power of AWS infrastructure to virtually any facility, merging on-premises environments with cloud capabilities seamlessly. This hybrid approach permits manufacturers to process and analyze vast datasets at the edge, minimizing latency and maximizing operational intelligence. As a result, businesses can tap into the boundless potential of smart manufacturing, driving forward their digital transformation journeys.

Implementing the UK Regime for Critical Third Parties

On November 12, 2024, key financial services authorities in the UK, including the Bank of England, Prudential Regulation Authority, and Financial Conduct Authority, released final documentation on the regime for critical third parties (CTPs) impacting the UK financial sector. The regime outlines the integration and oversight of CTPs, ensuring systemic resilience and continuity in financial operations. AWS services can support organizations in aligning with these requirements, offering secure, reliable, and compliant cloud solutions. This alignment facilitates adherence to regulatory expectations, safeguarding the integrity of financial operations while enabling innovative growth.

Optimizing Formula 1® with AWS and Scuderia Ferrari HP

In Formula 1® racing, where success is measured in milliseconds, the collaboration between Scuderia Ferrari HP and AWS is revolutionizing power unit assembly through data-driven methodologies. By harnessing AWS’s robust analytics and ML capabilities, Ferrari optimizes every aspect of the assembly process. This partnership underscores the pivotal role of cloud technology in enabling F1 teams to achieve precision and performance. Manufacturers in other high-stakes industries can extrapolate these insights, applying AWS’s scalable solutions to enhance their own production processes.

Netsmart and AWS HealthScribe Transform Behavioral Healthcare

The partnership of Netsmart with AWS HealthScribe is transforming the landscape of behavioral healthcare by streamlining the clinical documentation process. AWS HealthScribe, a HIPAA-eligible service, employs generative AI to automate the creation of preliminary clinical documentation, freeing healthcare providers to focus on patient care. This technological advancement is crucial, as it reduces the administrative burden on practitioners, enhancing the quality of patient interactions. Netsmart’s implementation exemplifies how cloud-based solutions can drive efficiency in healthcare, a model applicable across the sector.

AMPECO’s Global EV Charging Strategy with AWS

As the momentum for electric vehicles (EVs) grows, AMPECO is leveraging AWS’s global infrastructure to scale its EV charging management solutions. AWS offers AMPECO the flexibility and scalability needed to handle an expanding network of EV chargers. The cloud’s security and reliability underpin a robust charging experience, essential as governments and private sectors bolster their EV infrastructure investments. By deploying AWS services, AMPECO ensures a consistent and efficient charging experience across geographies, supporting the broader transition to sustainable transportation.

KeyCore assists businesses by implementing AWS solutions tailored to industry-specific challenges. From manufacturing to financial services, KeyCore’s expertise in AWS technologies enables organizations to leverage cloud capabilities for innovation and efficiency. The consultancy’s managed services ensure optimal performance and compliance, empowering companies to focus on strategic objectives rather than operational intricacies.

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AWS Messaging & Targeting Blog

Update on Amazon Chime Support

Amazon Chime is a versatile communications service that integrates meetings, chats, and business calls into one cohesive application. However, after thorough evaluation, Amazon has decided to discontinue support for this service, including its Business Calling features. This decision will take effect on February 20, 2026. As of this date, Amazon Chime will cease to accept new customers.

This change signifies a strategic shift in Amazon’s approach to communications, possibly allowing for the reallocation of resources to other innovative solutions. Current users are encouraged to explore alternative communication services well before the transition date to ensure seamless continuity in their business operations.

Enhancing Security in Amazon WorkMail with MFA

In the modern digital landscape, safeguarding business email systems is of utmost importance. To address this need, Amazon has enhanced security features for Amazon WorkMail. These features aim to provide organizations with greater control and protection over their communication platforms.

The integration of AWS Identity and Access Management (IAM) Identity Center in WorkMail plays a crucial role in this enhancement. By employing Multi-Factor Authentication (MFA), organizations can significantly increase the security of their email systems. MFA requires users to provide multiple forms of verification before accessing their accounts, thereby reducing the risk of unauthorized access.

This security improvement aligns with the increasing demand for robust cybersecurity measures in workplace communications. Organizations utilizing Amazon WorkMail can now leverage these advanced features to fortify their defenses against potential security threats.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, possesses the expertise to guide businesses through these transitions. Whether it involves finding a suitable alternative to Amazon Chime or implementing enhanced security measures in Amazon WorkMail, KeyCore offers tailored solutions. Our team can assist with configuration, training, and ongoing support to ensure a seamless experience for your organization as you adapt to these changes. By leveraging KeyCore’s professional and managed services, your business can maximize the value of AWS technologies while maintaining optimal security and operational efficiency.

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AWS Marketplace

Healthcare organizations today are under substantial pressure to balance the delivery of excellent patient care with operational efficiency. Increasing demands from patients and providers require innovative solutions that can modernize healthcare infrastructure and streamline data management. AWS Marketplace emerges as a pivotal platform for healthcare institutions aiming to adopt cloud solutions that can transform their operational workflows and drive innovation.

Modernizing Healthcare Infrastructure

AWS Marketplace offers a comprehensive range of cloud solutions that enable healthcare organizations to upgrade their existing infrastructure. By migrating to the cloud, healthcare providers can achieve greater scalability, flexibility, and reliability in their operations. This transition not only supports the management of large datasets but also ensures that healthcare systems are equipped to handle increasing patient loads and administrative tasks effectively.

Optimizing Data Management

Data management is a critical component of healthcare operations. AWS Marketplace provides access to sophisticated data management solutions that streamline data storage, processing, and analysis. These tools enhance the ability of healthcare providers to derive actionable insights from complex datasets, leading to improved patient outcomes and more informed decision-making. With AWS, organizations can leverage machine learning and analytics services to advance their data capabilities significantly.

Enhancing Operational Workflows

Operational efficiency is essential for healthcare organizations striving to meet patient and provider expectations. AWS Marketplace offers solutions designed to automate routine tasks, enhance coordination across departments, and improve workflow management. These solutions help reduce administrative burdens and enable healthcare professionals to focus more on patient care. By integrating these technologies, healthcare institutions can streamline their operations, ultimately leading to better patient experiences.

How KeyCore Can Assist

As a leading AWS consultancy, KeyCore is well-positioned to support healthcare organizations in their journey towards cloud adoption through AWS Marketplace. KeyCore’s expertise in cloud solutions allows us to provide tailored services that meet the unique needs of healthcare providers. From strategic planning to implementation and ongoing support, KeyCore ensures that healthcare institutions achieve optimal outcomes from their AWS investments. Our team is committed to helping healthcare organizations modernize, optimize, and enhance their operations in the cloud.

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

AWS Network Firewall has introduced a new feature that automates security for outbound traffic through domain-based allowlisting. This innovative approach enhances network security by leveraging automated domain lists, which streamline the process of managing and creating traffic controls.

Improved Visibility and Control

The automated domain lists feature allows for comprehensive analysis of HTTP and HTTPS traffic patterns. By providing detailed insights into domain usage, it empowers organizations to make informed decisions about their network security. The feature facilitates the creation of precise traffic controls, ensuring that only authorized domains are accessed. This not only strengthens security postures but also reduces the complexity involved in managing outbound traffic.

Simplified Management

Managing outbound traffic controls becomes significantly easier with the automated domain lists. This feature minimizes manual intervention by automating the rule creation process, which is crucial for maintaining robust security measures without the overhead of constant monitoring and updates. It enhances operational efficiency, allowing IT teams to focus more on strategic initiatives rather than routine security management.

Business Value of Domain-Based Security

For businesses, the ability to automate outbound traffic controls translates into enhanced security with reduced operational costs. It mitigates risks associated with unauthorized domain access, which is vital for protecting sensitive data and maintaining compliance with industry regulations. The streamlined management of security rules also ensures that resources are optimally utilized, enabling businesses to concentrate on growth and innovation.

How KeyCore Can Help

KeyCore can provide expert guidance and support in implementing AWS Network Firewall’s automated domain lists feature. With extensive experience in AWS solutions, KeyCore can assist organizations in optimizing their network security strategies, ensuring seamless integration and maximizing the benefits of AWS services. Whether through professional services or managed services, KeyCore offers comprehensive solutions tailored to the unique needs of each business.

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Front-End Web & Mobile

Amazon Web Services (AWS) has made a significant update to AWS Amplify Hosting by introducing IAM Compute Roles for server-side rendering (SSR) applications. This enhancement allows developers to securely extend SSR capabilities by enabling their Amplify applications to access AWS services directly from the compute runtime. The introduction of compute roles means developers can now attach specific IAM permissions to their server-side rendered applications, facilitating authorized interactions with other AWS services.

By using compute roles, developers can create robust SSR applications that utilize a diverse range of AWS services, such as Amazon S3 for storage, Amazon DynamoDB for database needs, or AWS Lambda for executing code. This not only ensures that applications are scalable and secure but also significantly improves the performance by leveraging AWS’s infrastructure capabilities.

Business Impact

This new feature enhances the ability of businesses to build more dynamic, efficient, and scalable web applications. Server-side rendering is particularly valuable for improving performance and SEO, as it allows pages to load faster and content to be indexed by search engines more effectively. By leveraging AWS’s compute roles, businesses can also ensure that their data and operations are secure, adhering to compliance and security best practices.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers extensive expertise in implementing AWS Amplify solutions and optimizing AWS infrastructure for SSR applications. With our deep understanding of AWS services, KeyCore can assist businesses in seamlessly integrating compute roles into their Amplify applications. We provide tailored solutions to enhance application performance, security, and scalability, ensuring that client applications harness the full potential of AWS. Our professional and managed services can guide businesses through the complexities of AWS IAM configurations and server-side rendering optimizations, enabling a smooth transition to more sophisticated cloud-based web solutions.

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AWS Contact Center

Exploring AI and Customer Experience at Enterprise Connect 2025

Enterprise Connect 2025 is set to be an enlightening event for those interested in the cutting-edge developments at the intersection of artificial intelligence (AI) and customer experience (CX). Scheduled from March 17-20 in Orlando, Florida, this event promises to be a hub for innovation and strategic insights, particularly from AWS leaders who will be in attendance.

AI Strategy and Customer Experience Enhancement

Attendees will have the opportunity to delve into how AI is being implemented strategically to enhance customer experiences. AWS experts will share their knowledge and experiences through various keynotes, panel discussions, and interactive sessions. These presentations aim to illustrate the practical applications of AI in improving customer interactions and streamlining processes. The focus will be on delivering more meaningful customer experiences through innovative AI-driven solutions.

Interactive Learning and Networking Opportunities

The event provides an ideal platform for professionals to engage with industry leaders and pioneers. Through interactive sessions, participants will gain insights into the latest trends and technologies shaping the future of customer engagement. Networking opportunities with AWS leaders and other experts in the field will allow attendees to exchange ideas and explore potential collaborations.

How KeyCore Can Assist

At KeyCore, we specialize in leveraging AWS technologies to transform customer experiences through AI innovation. Our expertise in AWS professional and managed services can help organizations implement strategic AI solutions tailored to their specific needs. By partnering with us, businesses can harness the power of AWS to create more engaging and efficient customer interactions. For more information on how we can assist with AI and CX innovation, visit our website at KeyCore.dk.

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Innovating in the Public Sector

NATO’s Transformation with Hyperscale Cloud

The dynamic threat landscape across NATO’s 32 member states necessitates continuous modernization of technological solutions. Digital transformation is critical for maintaining strategic advantage. By collaborating with technology leaders like AWS, NATO can enhance its capabilities in speed, scale, security, and global innovation. Such partnerships are instrumental in developing mission-ready solutions to counter both known and emerging threats. As NATO embraces hyperscale cloud solutions, it can adapt to the evolving demands of multi-domain operations, ensuring that the alliance remains at the forefront of defense technology.

Technical Architecture for RAG on AWS

In today’s era dominated by generative artificial intelligence, the significance of data has never been greater. Building on a previous exploration of Anduril Industries’ enterprise search chatbot Alfred powered by Retrieval-Augmented Generation (RAG) architecture, this post delves into the technical architecture underpinning this innovation. The RAG implementation on AWS is a complex system designed to enhance data retrieval efficiency and improve user interactions. By leveraging AWS’s robust infrastructure, organizations can build similar intelligent systems, optimizing their data-driven processes and enhancing decision-making capabilities.

Cost Reduction through Automatic EC2 Shutdowns

Educational institutions are under constant pressure to optimize IT costs while delivering high-quality services. A significant opportunity for cost savings lies in cloud resource management, specifically regarding Amazon EC2 instances. Many universities encounter unexpected expenses due to EC2 instances running during off-peak periods. By implementing automatic shutdown mechanisms, institutions can significantly reduce these costs. This strategy not only aids in financial sustainability but also encourages the efficient use of cloud resources. Through intelligent management of EC2 instances, educational institutions can better allocate their financial resources towards their core mission of education and research.

KeyCore’s Expertise

KeyCore, as Denmark’s leading AWS consultancy, is well-positioned to assist organizations in these areas. Whether it’s transforming defense operations with hyperscale cloud solutions, developing advanced AI-driven architectures, or optimizing IT costs in educational settings, KeyCore offers unparalleled expertise in AWS services. Our team can help design, implement, and manage these solutions, ensuring organizations leverage the full potential of AWS technology to achieve their strategic goals.

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