Summary of AWS blogs for the week of monday Mon Feb 03

In the week of Mon Feb 03 2025 AWS published 58 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Amazon Web Services (AWS) offers a broad range of services that cater to various user personas, including operators, administrators, and developers. As users interact with these services through the AWS Console, they may encounter numerous challenges such as insufficient permissions, bugs in AWS Lambda code, and other common issues. To address these challenges and enhance user experience, AWS introduced a powerful tool called Amazon Q.

Amazon Q: Enhancing User Experience

Amazon Q is designed to assist users in navigating the AWS Console with greater ease and efficiency. This tool provides immediate insights and suggestions for best practices when users encounter typical obstacles. By integrating Amazon Q, AWS aims to streamline the troubleshooting process and minimize the time users spend resolving common issues. This improvement not only fosters a more productive environment but also allows users to focus on more strategic tasks.

Refactoring CloudFormation Stacks: Embracing Flexibility

As cloud infrastructures become increasingly complex, the need for better organization and modularity in AWS CloudFormation stacks becomes evident. AWS has introduced a significant feature that enables users to refactor their CloudFormation stacks by moving resources between them. This capability is crucial for accommodating the evolving nature of business requirements and maintaining a well-structured cloud environment.

With this feature, users can now reorganize their stacks to improve management and align with their architectural goals. This flexibility ensures that AWS resources can be efficiently utilized and adapted to meet current and future needs. Furthermore, the feature supports a more modular approach to infrastructure, which is essential for scaling and maintaining cloud solutions.

How KeyCore Can Help

KeyCore specializes in providing expert guidance on AWS services, ensuring that organizations maximize the potential of their cloud infrastructure. Our team can assist with integrating Amazon Q into your AWS Console experience, helping to reduce the friction caused by common issues. Additionally, KeyCore offers support in refactoring CloudFormation stacks, ensuring that your cloud resources are optimally structured to support business growth and agility. By leveraging KeyCore’s expertise, organizations can enhance their AWS operations and achieve greater efficiency and scalability.

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AWS for SAP

In a groundbreaking collaboration, AWS and SAP have come together to enhance the analytical capabilities of SAP Sports One using AI-powered solutions. This innovative integration aims to revolutionize football match analysis by leveraging AWS’s robust cloud infrastructure and SAP’s extensive sports and entertainment expertise.

Revolutionizing Football Analytics

SAP Sports One is designed to provide comprehensive data-driven insights into football matches. It enables teams and coaches to analyze player performance, strategize effectively, and make informed decisions. By utilizing AWS’s advanced AI tools, SAP Sports One can now offer even deeper insights and predictive analytics, enhancing its ability to transform raw match data into actionable intelligence.

Technical Integration on AWS

The integration harnesses AWS services such as Amazon SageMaker for building and deploying machine learning models. This allows for real-time data processing and analysis, providing immediate feedback and insights. The use of AWS Lambda and Amazon Kinesis further facilitates the seamless handling of large data streams, ensuring that the analytical services remain scalable and efficient.

Business Impact

This enhanced analytical capability offers significant advantages to football clubs and organizations. By delivering detailed and precise analytics, teams can optimize player performance, improve training regimes, and refine game strategies. The integration of SAP Sports One with AWS elevates the level of strategic planning and operational execution in the sports industry.

How KeyCore Can Assist

At KeyCore, we specialize in optimizing AWS services to meet diverse business needs. Our expertise in AWS infrastructure and AI solutions positions us well to support organizations in implementing similar integrations. We can help tailor AWS services to maximize the benefits of SAP Sports One, ensuring that sports organizations can leverage cutting-edge technology for superior performance analysis.

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Official Machine Learning Blog of Amazon Web Services

Scaling MLOps with Security and Governance Controls

The fourth installment of the series on governing the machine learning lifecycle at scale details how to effectively establish a multi-account ML platform. Key components include configuring the ML Shared Services Account, which serves as the hub for managing central templates, model registry, and deployment pipelines. Additionally, it discusses sharing ML Admin and SageMaker Projects Portfolios from the central Service Catalog. This setup enables individual ML Development Accounts where data scientists can build and train models independently and securely.

Accelerate Amazon Q Implementation for SMBs

Amazon’s starter kits offer deployable solutions targeting common business challenges for SMBs. These kits are designed according to best practices and facilitate cost optimization, allowing businesses to familiarize themselves with architectural patterns without extensive training. The article specifically highlights a starter kit for Amazon Q Business, ideal for transforming document repositories into knowledge bases swiftly, or testing Amazon Q Business features efficiently.

Innovating Construction Analytics with CONXAI

CONXAI Technology GmbH is leading the charge in developing an AI platform for the AEC sector. The post explores how CONXAI utilizes AWS services like Amazon S3 and Amazon EKS to host the OneFormer segmentation model. The integration of KServe and NVIDIA Triton further enhances their platform, demonstrating the capability to manage complex AI workloads effectively, paving the way for advanced construction analytics.

Empowering Artists with AI at Untold Studios

At Untold Studios, Amazon Bedrock is harnessed to build an AI assistant named Untold Assistant. This tool aids artists by providing seamless access to internal resources via a natural language interface within Slack. This integration exemplifies how AI can enhance creative workflows by embedding intelligent systems directly into daily communication tools, streamlining processes and boosting productivity.

Implementing Safety in AI with Amazon Bedrock Guardrails

This post guides the implementation of safety measures for DeepSeek-R1 and similar models using Amazon Bedrock Guardrails. Through this framework, organizations can leverage DeepSeek’s advanced capabilities while maintaining stringent security and ethical AI practices. This ensures robust protection and aligns with industry standards for responsible AI deployment.

Cost-Effective SDXL Model Hosting with AWS Inferentia2

StabilityAI’s Stable Diffusion XL (SDXL) model brings cutting-edge text-to-image AI technology to new heights. The post elaborates on using SageMaker Studio for fine-tuning the SDXL model, and further optimizing its deployment on AWS Inferentia2-powered EC2 Inf2 instances. This approach offers substantial price performance benefits, making high-quality AI accessible and affordable.

Translating Scientific Intent to Results at Aetion

Aetion leverages Amazon Bedrock to transform complex real-world datasets into decision-grade evidence. The post reveals how their software enables user interaction without requiring data science expertise, streamlining the analytical process for biopharma and regulatory stakeholders. This integration exemplifies how generative AI can simplify complex data handling, driving insightful results efficiently.

Trellix Enhances Cybersecurity with Amazon Nova Models

Trellix, a cybersecurity leader, has adopted Amazon Nova models to enhance its AI-powered platform. This integration lowers costs, boosts speed, and increases flexibility in delivering security solutions to over 53,000 clients worldwide, showcasing the transformative impact of innovatively deploying AWS technology in cybersecurity.

OfferUp’s Enhanced Search with Amazon Bedrock

OfferUp has revolutionized its search architecture using Amazon Titan Multimodal Embeddings and OpenSearch Service. This significant enhancement led to improved local search results and relevance recall. With capabilities to process text and images, OfferUp’s search transformation underscores the power of fully managed AWS solutions in improving user engagement and search experiences.

Enhancing LLM Capabilities with NeMo Guardrails

NeMo Guardrails integrated with Large Language Models (LLMs) on Amazon SageMaker JumpStart represents a significant advancement in AI deployment. The post illustrates how AnyCompany Pet Supplies uses these technologies to enhance customer interactions by steering conversations and ensuring ethical AI use, essential for maintaining customer trust and sustainable technology application.

Building Multi-Interface AI Assistants

The synergy between Amazon Q and Slack is explored for deploying AI assistants across various interfaces. By analyzing user feedback, the integration is seen to improve accessibility and interaction by embedding AI within familiar productivity tools, illustrating how multi-interface solutions can elevate user experience and operational efficiency.

Seamless Business Integration with Amazon Bedrock Agents

The article describes using Amazon Bedrock agents to integrate business systems with generative AI. Demonstrating through a fictitious case study, it reveals strategies for using generative AI to enhance logic and data accessibility, thereby maximizing the potential of AI in aligning business processes and technological capabilities.

Boosting Video Q&A Workflows with Amazon Bedrock

Amazon Bedrock knowledge bases combined with Amazon Transcribe and thoughtful UX design accelerate video and audio review processes. The solution maintains human oversight, blending AI’s efficiency with human judgment to enhance productivity while ensuring critical decision-making remains accurate and reliable.

Enhancing Team Productivity with Amazon Q Apps

Amazon Q Apps are demonstrated as powerful tools for maximizing knowledge resource value across teams. This generative AI assistant facilitates information retrieval, content generation, and workflow execution, with a focus on maintaining security and governance, empowering teams in finance, DevOps, and support to operate more effectively.

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Announcements, Updates, and Launches

AWS CodeBuild for macOS Enhances Mobile App Development with Fastlane Support

AWS CodeBuild now includes pre-installed Fastlane within its macOS environments, significantly streamlining the process for mobile app developers. Fastlane automates many tedious tasks such as code signing, testing, and app distribution. By integrating Fastlane directly, AWS reduces the need for manual setup, allowing developers to focus more on coding and less on configuration. This enhancement brings a more seamless and efficient workflow for teams looking to leverage AWS CodeBuild for their macOS-based projects. With Fastlane, developers can automate the deployment pipeline and ensure consistent, repeatable builds, which is crucial for maintaining quality and efficiency in mobile app development cycles.

Highlights from AWS Weekly Roundup: New Features and Community Engagement

AWS recently hosted a successful Community Day in Thailand with over 300 participants and 15 notable speakers, including an AWS Hero and four AWS Community Builders. This event celebrated the launch of the AWS Asia Pacific (Bangkok) Region and was a hub for knowledge sharing and networking among AWS enthusiasts. The week also saw updates in AWS services, such as S3 Metadata enhancements and Elastic Beanstalk updates. These improvements reflect AWS’s commitment to continuously evolving their platform to meet the growing needs of developers and organizations worldwide. This roundup showcases AWS’s dedication not only to technological advancement but also to fostering a vibrant community where ideas and innovations can thrive.

How KeyCore Can Assist with AWS Innovations

KeyCore, as Denmark’s leading AWS consultancy, offers extensive expertise in leveraging AWS’s latest tools and services, including the new enhancements in AWS CodeBuild and regional expansions like the AWS Asia Pacific (Bangkok) Region. KeyCore’s team can assist organizations in integrating these new capabilities into their workflows, ensuring optimal performance and efficiency. Whether it’s streamlining mobile app development with Fastlane or adapting to new regional AWS offerings, KeyCore provides tailored solutions that align with business goals and technological needs. Contact KeyCore for expert guidance on maximizing AWS’s potential for your projects.

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

Empowering Healthcare Through AWS

GUSI has leveraged AWS to develop an innovative Point Of Care Ultrasound (POCUS) technology, which significantly reduces diagnostic imaging costs. This cutting-edge solution is designed to provide affordable healthcare access to over one million patients in underserved communities globally.

Cost-Efficiency and Accessibility

By utilizing AWS infrastructure, GUSI’s POCUS technology achieves a 70% reduction in diagnostic imaging costs. This cost efficiency is crucial in delivering medical imaging services to areas where healthcare resources are limited. AWS’s scalable and robust cloud services enable GUSI to deploy their solution rapidly and effectively, ensuring that medical practitioners in remote locations can access essential imaging tools.

Advanced Technology for Better Outcomes

The integration of AWS into GUSI’s technology stack allows for high-performance computing and secure data storage, which are vital for diagnostic accuracy and patient data management. AWS services such as Amazon EC2, Amazon S3, and AWS Lambda provide the necessary infrastructure to support POCUS technology, ensuring reliable and high-speed image processing.

Impact on Underserved Communities

The POCUS technology empowers healthcare workers with portable, cost-effective diagnostic tools, enabling them to perform ultrasound scans at the point of care. This innovation not only improves patient outcomes by facilitating timely diagnosis but also bridges the healthcare gap in underserved areas where traditional imaging equipment is scarce.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy, offers expertise in developing and deploying cloud-based healthcare solutions similar to GUSI’s POCUS technology. With comprehensive services ranging from strategic planning to managed cloud solutions, KeyCore can help SMBs in the healthcare sector to harness AWS’s full potential, ensuring a robust, secure, and cost-effective approach to digital transformation.

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Official Database Blog of Amazon Web Services

Amazon Web Services (AWS) has been at the forefront of innovation in cloud-based database technologies, continuously evolving its offerings to deliver advanced solutions for various industries. The following summaries encapsulate recent insights from the Official Database Blog of Amazon Web Services, highlighting groundbreaking solutions and key developments that are shaping the future of database management and analytics.

Achieving a 360-Degree Patient View with Amazon Neptune and Generative AI

Healthcare organizations are leveraging Amazon Neptune and generative AI to create a comprehensive 360-degree master data management solution for patients. By integrating data from diverse sources such as electronic health records (EHRs), lab reports, prescriptions, and medical histories, healthcare providers can develop a holistic view of a patient’s health. This integration not only facilitates better patient care but also enhances research capabilities and accelerates medical breakthroughs. By centralizing data, healthcare practitioners can make informed decisions that drive improved health outcomes and operational efficiency.

2024: A Transformative Year for Amazon DynamoDB

The year 2024 has been pivotal for Amazon DynamoDB, marked by significant advancements in security, performance, cost-effectiveness, and integration capabilities. The developments this year have enhanced the overall DynamoDB experience, making it more robust and efficient for users. The year-in-review highlights cover a range of new features and updates, organized by feature areas in reverse chronological order. These innovations empower users to build applications that are not only reliable but also faster and more secure, catering to both new users and long-time DynamoDB enthusiasts.

Organization-Wide RDS Orphan Snapshot Insights with AWS Step Functions and Amazon QuickSight

Managing Amazon RDS orphan snapshots across multiple accounts and AWS Regions has become increasingly streamlined with the integration of AWS Step Functions and Amazon QuickSight. This solution automates the aggregation of orphan snapshot metadata, providing organization-wide visibility to optimize cloud expenditure. AWS Lambda functions orchestrate the collection of snapshot metadata, storing it in Amazon S3. AWS Glue then transforms this data into an Amazon Athena table, which Amazon QuickSight uses to generate comprehensive insights. This robust solution excludes cross-region copied snapshots, Aurora cluster copied snapshots, and shared snapshots, focusing on optimizing costs through data-driven insights.

KeyCore, as a leading AWS consultancy in Denmark, is uniquely positioned to assist organizations in implementing these advanced AWS solutions. With expertise in AWS services, KeyCore can help tailor these technologies to meet specific business needs, ensuring optimal performance and cost-efficiency. Whether it’s developing a comprehensive patient data solution with Amazon Neptune, optimizing DynamoDB usage, or managing RDS snapshots, KeyCore offers both professional and managed services to guide you through the process.

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AWS for Games Blog

Achieving Extreme Scalability with Amazon GameLift

Amazon GameLift, a managed service from Amazon Web Services (AWS), has reached a significant milestone by supporting up to 100 million concurrent users (CCU) for a single game during benchmark testing. This achievement highlights Amazon GameLift’s exceptional scalability, a crucial feature for game developers facing dynamic user demands. By efficiently handling such large user volumes, GameLift alleviates server hosting concerns through its ability to dynamically scale backend resources.

Dynamic Scaling for Optimized Performance

One of the critical features of Amazon GameLift is its ability to dynamically allocate resources based on real-time demand. This ensures that game servers can handle sudden spikes in player activity without compromising on performance or user experience. By automating the scaling process, developers can focus on enhancing game features and player engagement rather than managing server infrastructure. This dynamic scalability is a game-changer for developers aiming to deliver seamless gameplay experiences to a large user base.

Business Benefits and Game Development Impact

The impressive scalability of Amazon GameLift translates into significant business advantages. Game developers can confidently launch games with the assurance that the infrastructure will support massive player volumes. This capability not only reduces the risk of downtime but also minimizes the operational costs associated with over-provisioning resources. Furthermore, developers can implement innovative features and expansions knowing that their backend will adapt to any increases in player numbers.

How KeyCore Can Assist

KeyCore, the leading AWS consultancy in Denmark, can help game developers leverage Amazon GameLift’s capabilities to optimize their gaming infrastructure. Our expertise in AWS services ensures that developers can maximize the benefits of GameLift’s scalability and dynamic resource management. We offer tailored solutions to integrate GameLift into existing architectures, support game launches, and provide ongoing managed services to maintain optimal performance. With KeyCore’s assistance, developers can focus on creating engaging gaming experiences while we handle the technical complexities.

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Official Big Data Blog of Amazon Web Services

Integrating DeepSeek with Amazon OpenSearch Service and Amazon SageMaker

Amazon OpenSearch Service offers extensive capabilities for Retrieval-Augmented Generation (RAG) use cases and vector embedding-powered semantic search. By leveraging the flexible connector framework and search flow pipelines in OpenSearch, users can connect to models hosted by various providers, including DeepSeek, Cohere, OpenAI, Amazon Bedrock, and SageMaker. The integration enables seamless connection to DeepSeek’s text generation model, facilitating a RAG workflow. This setup is essential for generating dynamic text responses to user queries, enhancing the interactivity and depth of user interactions.

By incorporating vector embeddings, the semantic search capabilities are significantly amplified. This approach allows businesses to create more intuitive and responsive search experiences, enhancing user satisfaction. The ability to integrate with multiple AI model providers also ensures a versatile and future-proof architecture, allowing organizations to adapt rapidly to evolving technological landscapes.

Strategies for Error Handling in Apache Flink Applications on AWS

Error handling is a critical aspect of stream processing applications like those running on Apache Flink. This article delves into effective strategies for managing errors within these applications on AWS. It outlines key principles that are applicable across various stream processing environments, emphasizing the importance of maintaining robust and resilient data processing workflows.

Implementing a structured error handling strategy improves the reliability and performance of Apache Flink applications. By proactively addressing potential error scenarios, businesses can ensure uninterrupted data flow and processing, maintaining the integrity of their data-driven operations. The insights shared in this post provide a foundational understanding for optimizing error management in streaming applications.

How KeyCore Can Help

KeyCore’s expertise in AWS services positions us as a leader in implementing advanced solutions like integrating DeepSeek with Amazon OpenSearch Service and SageMaker. Our team of AWS specialists can assist in setting up and optimizing these integrations to enhance search capabilities and text generation workflows. Additionally, we offer expert guidance in implementing error handling strategies for Apache Flink applications, ensuring robust and efficient stream processing on AWS. Whether through professional services or managed services, KeyCore is dedicated to helping organizations leverage the full potential of AWS technologies.

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AWS Compute Blog

AWS has introduced JSON Lines (JSONL) support in Step Functions Distributed Map, enhancing its utility for handling structured data. JSONL, a format where each line represents a JSON object, is efficient for large-scale data processing. This update allows for streamlined integration with AWS services, facilitating seamless data manipulation and transformation processes. The JSONL format is particularly useful when dealing with big data or real-time data streams, where each data point is processed individually. With this capability, AWS Step Functions can better support applications requiring high-performance data handling, such as real-time analytics or log processing.

AWS Step Functions’ adoption of JSONL represents a significant improvement in data processing capabilities. By leveraging the new support, developers can execute complex workflows more efficiently, optimizing both resource use and processing times. This enhancement aligns with the broader trend of supporting modern data formats and workflows in cloud-based applications, ensuring that AWS users can maximize their operational efficiency. The integration of JSONL into Step Functions Distributed Map is a testament to AWS’s commitment to providing robust, scalable solutions that meet the evolving needs of its customers.

AWS has also taken steps to automate notifications for future-dated Amazon EC2 Capacity Reservation state changes. Amazon EC2 On-Demand Capacity Reservations allow customers to secure capacity for their workloads, ensuring availability when needed. However, managing these reservations can be complex, especially when planning for resources weeks or months in advance. AWS now offers automated notifications, keeping users informed of state changes to their reserved capacities. This service enables IT teams to react proactively, adjusting plans as necessary to maintain operations without interruption.

The automation of these notifications is a crucial component in resource management, where anticipating capacity needs is essential for business continuity. It reduces the manual burden on IT personnel, allowing them to focus on strategic tasks while ensuring that capacity is always aligned with organizational requirements. By implementing automated alerts, AWS empowers users to maintain optimal resource allocation and cost management, ensuring that infrastructure investments are both efficient and effective.

How KeyCore Can Assist

KeyCore, as an AWS consultancy, can help organizations leverage these new AWS capabilities. With expertise in serverless technologies, KeyCore can assist in the efficient integration of JSONL into your data workflows using AWS Step Functions. Additionally, our consultants can help configure and manage EC2 Capacity Reservations, setting up automated notifications to streamline your resource planning and ensure uninterrupted service delivery. By partnering with KeyCore, clients can enhance their AWS environments, optimizing performance and resource utilization to meet business objectives. For more information, please visit KeyCore’s website.

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AWS for M&E Blog

Optimize GPU Costs for Video Editing and CG/VFX with Amazon AppStream 2.0

Video editing and CG/VFX production require robust GPU workstations that are secure, cost-effective, and high-performance. This can pose a significant challenge in selecting the right number of workstations. Amazon AppStream 2.0 addresses these challenges with its multi-session fleet feature. Businesses no longer need to over-invest in physical hardware, which can become outdated quickly and result in substantial upfront costs. Instead, by leveraging Amazon AppStream 2.0, companies can dynamically allocate GPU resources as needed, ensuring that they maintain optimal performance for video editing tasks without unnecessary expenditure. This solution enhances both security and scalability, allowing organizations to focus on creativity and productivity.

Migrating Workflows from Amazon Elastic Transcoder to AWS Elemental MediaConvert

As media content grows in complexity and volume, organizations need scalable and cost-effective transcoding solutions. AWS Elemental MediaConvert (MediaConvert) offers a robust service for evolving video processing needs. Transitioning from Amazon Elastic Transcoder to MediaConvert allows media professionals to take advantage of advanced features such as high-quality video output, a wide range of format support, and efficient video processing pipelines. MediaConvert also provides granular control over transcoding parameters, enabling precise customization of outputs for different platforms and devices. This migration not only optimizes workflows but also reduces operational overhead, allowing media teams to focus on delivering high-quality content efficiently.

Video Semantic Search with AI on AWS

AWS provides a holistic video semantic search solution using AI/ML services like Amazon Bedrock, Rekognition, and Transcribe. This solution empowers media companies to efficiently discover, analyze, and monetize content within large video libraries. By leveraging these AI services, organizations can extract metadata, recognize objects and scenes, and transcribe audio content into searchable text. This capability enables more effective content categorization, indexing, and retrieval, significantly enhancing the value of video assets. With AWS’s AI-driven approach, media companies can streamline their operations, improve content discovery, and maximize monetization opportunities in an increasingly competitive landscape.

How the NFL Uses Generative AI from AWS to Streamline Media Asset Search

The National Football League (NFL) utilizes a sophisticated generative AI system built on AWS to enhance media asset search. This technology enables engineers and data scientists to bring fans closer to the on-field action by efficiently sorting through vast amounts of media content. The AI system employs cutting-edge machine learning algorithms to classify and tag media assets, facilitating quicker retrieval and usage in broadcasts and other media channels. By using AWS’s generative AI capabilities, the NFL can streamline its media workflows, ensuring timely and engaging content delivery to its audience.

How KeyCore Can Help

KeyCore offers expert guidance and implementation services for businesses looking to leverage AWS solutions effectively. Our experience in professional and managed services ensures that our clients can optimize their video production workflows, migrate transcoding processes seamlessly, implement AI-driven video search, and streamline media asset management. Whether you require assistance in setting up Amazon AppStream 2.0 to optimize GPU costs or transitioning to AWS Elemental MediaConvert, KeyCore’s team of AWS specialists can provide tailored solutions to meet your business needs. Learn more about how KeyCore can support your AWS projects at KeyCore.dk.

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AWS Architecture Blog

In the realm of healthcare, the analysis of clinical documents is vital but can often be time-consuming and resource-intensive. Clario leverages generative AI on AWS to streamline and enhance this process significantly. By using AWS’s advanced machine learning capabilities, Clario is able to automate the analysis of vast amounts of clinical data efficiently.

Leveraging AWS for Clinical Efficiency

Generative AI on AWS enables Clario to reduce the manual efforts typically associated with document processing. With AWS services like Amazon SageMaker, they can train and deploy sophisticated machine learning models tailored to their specific needs. This infrastructure allows them to process and analyze clinical documents faster while maintaining high accuracy and compliance standards.

How AWS Services Power Clario’s Solution

Clario utilizes a variety of AWS services to build a robust and scalable solution. Amazon S3 provides a secure and scalable storage solution for vast datasets. Meanwhile, AWS Lambda allows Clario to run code for document processing in response to events, without the need for server management. The integration of these services results in a seamless workflow that enhances productivity and optimizes resources.

Business Value and Outcomes

The implementation of generative AI through AWS has proven transformative for Clario. This approach not only accelerates the document analysis process but also reduces operational costs significantly. Furthermore, the ability to quickly analyze and interpret clinical documents enhances decision-making and supports better healthcare outcomes.

KeyCore’s Expertise in AI and AWS

KeyCore is well-equipped to assist organizations like Clario in harnessing the power of AWS and generative AI for document analysis. With extensive experience in AWS services, KeyCore offers strategic guidance and technical expertise to build and deploy AI solutions efficiently. By partnering with KeyCore, businesses can leverage cutting-edge AWS technologies to improve document processing capabilities and drive innovation in their operations.

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AWS HPC Blog

AWS has introduced exciting updates to AWS Batch on Amazon Elastic Kubernetes Service (EKS), enhancing its capabilities to manage complex containerized workloads more efficiently. This article delves into the newly added features, such as configurable namespaces and persistent volume claims, which enable more refined workload management and resource allocation.

Configurable Namespaces

The introduction of configurable namespaces in AWS Batch on Amazon EKS allows users to better organize and isolate workloads. Namespaces in Kubernetes are essential for dividing cluster resources between multiple users. By configuring namespaces, users can now manage permissions and resources for different environments or teams, ensuring that jobs are executed in the correct context and reducing the likelihood of resource conflicts.

Persistent Volume Claims

Persistent Volume Claims (PVCs) are another significant enhancement. PVCs provide a way for applications to request and consume storage resources without being tied to specific storage details. This abstraction layer simplifies storage management and ensures data persistence across container restarts. With PVCs, users can define storage requirements for their batch jobs, leading to greater flexibility and control over data handling and resilience.

Additional Enhancements

In addition to namespaces and PVCs, AWS Batch on EKS has introduced several other features aimed at improving process automation and scalability. These enhancements optimize resource utilization, streamline workflow management, and improve operational efficiencies for high-performance computing environments.

Business Value

These updates provide substantial business value by enabling organizations to have more granular control over their containerized workloads. By leveraging configurable namespaces and PVCs, companies can enhance their workload management, optimize resource usage, and ensure data persistence—ultimately leading to cost savings and operational efficiency.

How KeyCore Can Help

KeyCore’s expertise in AWS services, including AWS Batch on Amazon EKS, positions us uniquely to assist organizations in leveraging these new features. Our professional services team can help design and implement robust solutions that incorporate these enhancements, while our managed services team ensures ongoing optimization and support. Learn more about how KeyCore can empower your cloud strategy at keycore.dk.

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AWS Cloud Operations Blog

Automating Cost Optimization Governance with AWS Config

One of the significant advantages of utilizing Amazon Web Services (AWS) is its pay-as-you-go pricing model. This enables businesses to maintain granular control over their infrastructure expenditures, with the potential to achieve substantial cost savings compared to traditional on-premise solutions. A fundamental aspect of maximizing the value from AWS investment is implementing robust cost optimization practices.

AWS Config plays a pivotal role in automating cost optimization governance. By using AWS Config, organizations can assess, audit, and evaluate the configurations of their AWS resources continuously. It helps ensure that these resources comply with desired cost optimization policies. AWS Config rules can be defined to identify non-compliant resources that might be over-provisioned or underutilized, and corrective actions can be automated to ensure compliance.

For businesses looking to enhance their cost management strategies, AWS Config offers a structured approach to enforce cost-saving measures and optimize resource usage. This governance model not only reduces unnecessary expenses but also aligns with AWS best practices for resource management.

Enhance Global Network Performance with Internet Monitor’s New Tools

The Amazon CloudWatch Internet Monitor has introduced new optimization tools designed to enhance global network performance. These tools provide detailed traffic optimization recommendations, allowing users to explore options for reducing application latency. By adjusting the AWS Region or Local Zone or leveraging Amazon CloudFront, businesses can significantly improve their application’s performance.

The Internet Monitor provides guidance on routing specific IP addresses to optimize traffic flow, thereby reducing latency and improving user experience. This feature is particularly beneficial for applications with a global user base, ensuring that end-users receive fast and reliable access to services, regardless of their geographic location.

For organizations aiming to optimize network performance, the Internet Monitor’s new features represent a valuable asset. They facilitate informed decision-making regarding network traffic management, ultimately contributing to enhanced application performance and user satisfaction.

How KeyCore Can Help

At KeyCore, specialists are adept at assisting organizations with the implementation of AWS services for both cost optimization and network performance enhancement. With expertise in AWS Config and Amazon CloudWatch Internet Monitor, KeyCore provides tailored solutions that align with each client’s unique business needs. By leveraging these AWS tools, businesses can achieve optimal resource efficiency and superior network performance. To learn more about how KeyCore’s AWS consultancy services can elevate your cloud operations, visit KeyCore’s website.

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AWS for Industries

Transforming Autonomy Data Ingestion at Rivian with AWS

Rivian, known for its electric adventure vehicles, has optimized its data ingestion process using AWS Data Transfer Terminal. By focusing on customer satisfaction through frequent software updates, Rivian enhances customer experiences significantly. The autonomy platform in Rivian R1 Gen 2 vehicles is equipped with sophisticated technology, including 55-megapixel HDR cameras and multiple radars, allowing it to efficiently process large volumes of data. This transformation has enabled Rivian to maintain its competitive edge in the electric vehicle industry by ensuring responsive and up-to-date vehicle functionalities.

No-Code ML for Heart Disease Prediction with Amazon SageMaker Canvas

Amazon SageMaker Canvas provides a no-code approach to machine learning, facilitating the creation of predictive models for heart disease detection. This method allows healthcare professionals to leverage complex medical data and derive actionable insights without the need for coding skills. By simplifying the process of building accurate predictive models, Amazon SageMaker Canvas empowers medical practitioners to enhance early disease detection, potentially improving patient outcomes and resource efficiency in healthcare settings.

WNS Malkom’s AI-Powered Efficiency in Shipping with AWS Bedrock

WNS Malkom revolutionizes logistics by accelerating shipping operations with AWS Bedrock. This AI-driven solution minimizes the time trucks spend idle by transforming lengthy document processing tasks into quick, efficient processes. In the logistics industry, where every moment impacts costs and delivery timeliness, this advancement enables same-day delivery capabilities and reduces operational delays, ultimately enhancing profitability and customer satisfaction.

Enhancing Financial Sector Resilience with DORA and AWS Fault Injection Service

The Digital Operational Resilience Act (DORA) mandates resilience testing for financial sector entities. AWS Fault Injection Service allows organizations to simulate real-world scenarios, thereby strengthening their operational resilience. This approach ensures that companies can identify potential vulnerabilities and respond effectively to operational disruptions, aligning with DORA’s mission to fortify the cybersecurity and resilience of financial infrastructures.

Automating Networking at Swisscom with Shared VPCs

Swisscom, Switzerland’s leading telecom provider, addresses networking challenges across numerous cloud accounts by utilizing automated, scalable solutions with AWS. By implementing shared VPCs, Swisscom enhances security, reduces costs, and minimizes operational overhead. This transition from manual processes to automated systems caters to the increasing demand for efficient cloud networking, supporting both business agility and security.

Building a Level 3.5 OT DMZ with Woodside Energy on AWS

Woodside Energy extends its pioneering efforts in digital transformation by developing a Level 3.5 Operational Technology Demilitarized Zone (OT DMZ) on AWS. This infrastructure supports secure and efficient operations of their advanced energy platforms, such as the fully remotely operated LNG plants. By leveraging AWS’s robust cloud technologies, Woodside enhances its operational security and efficiency, showcasing its commitment to innovation in the energy sector.

Advancing Medical Imaging Sustainability with AWS at ECR 2025

At the European Congress of Radiology (ECR) 2025, AWS will highlight its role in advancing sustainable medical imaging. By aligning with the “Planet Radiology” theme, AWS demonstrates how cloud technologies can revolutionize medical imaging processes while supporting environmental sustainability in healthcare. This commitment to innovative, eco-friendly solutions underscores AWS’s leadership in driving technological advancements in the medical field.

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**How KeyCore Can Help:**

KeyCore is dedicated to assisting businesses in leveraging AWS services to achieve transformation and efficiency, whether it’s in the automotive industry with data ingestion optimization or healthcare with predictive modeling. Our expertise in AWS allows businesses to implement tailored solutions that enhance operations, ensure compliance, and innovate sustainably. With professional and managed services, KeyCore guides organizations like Rivian and Swisscom in navigating complex AWS landscapes, ensuring they meet industry-specific challenges with cutting-edge technologies. Whether optimizing logistics with AI or securing financial infrastructures, KeyCore provides the insights and implementation support needed to thrive in today’s digital age.

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AWS Marketplace

Amazon Elastic Kubernetes Service (EKS) is a managed service that simplifies running Kubernetes on AWS, providing scalability, security, and flexibility. However, managing runtime security in these environments can be complex and time-consuming. Upwind offers a robust Amazon EKS add-on focused on runtime security, streamlining the process for businesses.

Streamlined Deployment

The integration of Upwind with Amazon EKS allows for automatic deployment to both existing and new EKS clusters. This feature eliminates the need for a prolonged procurement process, which can sometimes extend over several months. Businesses can quickly incorporate Upwind without the typical hurdles associated with the discovery, deployment, and management phases.

Enhanced Security with Upwind

Upwind’s add-on enhances runtime security by providing comprehensive visibility and control over EKS clusters. It offers features such as anomaly detection, threat intelligence, and compliance management, crucial for maintaining secure Kubernetes environments. These features help organizations quickly identify and mitigate potential security threats, ensuring the integrity of their applications.

Business Value of Upwind’s Integration

The integration not only simplifies security management but also significantly accelerates time-to-market for applications running on Amazon EKS. By removing bottlenecks in the deployment process, businesses can focus on innovation rather than infrastructure concerns. This agility can lead to a competitive advantage in fast-paced industries where time is critical.

How KeyCore Can Assist

KeyCore, as the leading AWS consultancy in Denmark, can help businesses leverage the full potential of Upwind’s Amazon EKS add-on. Our team provides expert guidance through the deployment process, ensuring seamless integration and optimal configuration. Whether businesses require professional services or managed services, KeyCore’s expertise ensures that their EKS environments are secure and efficient. For more information, visit KeyCore.

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

Enhancing Telecom Security with AWS

In recent times, cybersecurity threats have increased significantly, with notable attacks attributed to actors from the People’s Republic of China. To combat these threats, AWS has implemented the Cybersecurity and Infrastructure Security Agency’s (CISA) enhanced visibility and hardening guidance for communications infrastructure. This initiative enables telecom providers to strengthen their security posture by mapping AWS security controls to CISA’s recommendations. AWS offers a detailed mapping resource on their GitHub page, providing a comprehensive guide to implementing these best practices. By following these guidelines, telecom companies can enhance their infrastructure security, ensuring the safety and reliability of their services.

2024 PiTuKri ISAE 3000 Type II Attestation Report

AWS has announced the release of the 2024 PiTuKri ISAE 3000 Type II attestation report. This report includes 179 AWS services, demonstrating comprehensive compliance with the Finnish Transport and Communications Agency’s (Traficom) cybersecurity standards. PiTuKri outlines 52 criteria across 11 domains to assess cloud service information security. This attestation provides AWS customers, particularly in Finland, with confidence that AWS services adhere to robust security practices. Leveraging these compliant services can help organizations meet their regulatory requirements and maintain a secure cloud environment.

2024 FINMA ISAE 3000 Type II Attestation Report

AWS has also issued the 2024 FINMA ISAE 3000 Type II attestation report, applicable to 179 services. This attestation reflects AWS’s adherence to the Swiss Financial Market Supervisory Authority’s guidelines for outsourcing services in the financial sector. An independent audit confirms AWS’s compliance with FINMA’s regulatory standards, ensuring that financial services customers in Switzerland can safely utilize AWS’s cloud offerings while meeting their regulatory obligations. This attestation underscores AWS’s commitment to security and compliance for financial organizations.

AWS Renews MTCS Level 3 Certification

AWS has renewed its Multi-Tier Cloud Security (MTCS) Level 3 certification under the SS584:2020 standard for regions including Asia Pacific (Singapore), Asia Pacific (Seoul), and the United States. This certification renewal demonstrates AWS’s ongoing commitment to maintaining top-tier security standards across its global infrastructure. By achieving this certification, AWS reinforces its capability to provide robust security measures, offering customers in these regions assurance that their data and applications are protected by high-security standards.

Maximizing High Availability with AWS Network Firewall

AWS Network Firewall is a managed, stateful network firewall service designed to enhance security and availability for application traffic. By replicating session states, AWS Network Firewall ensures high availability and resilience, even during infrastructure failures. This feature allows organizations to maintain consistent network security while minimizing disruptions to their application traffic. AWS Network Firewall offers fine-grained control over network traffic, enabling users to filter and protect data at the perimeter of their Virtual Private Cloud (VPC).

Securing Data in Generative AI Applications

In the second part of a series, AWS explores effective data authorization mechanisms to secure data in generative AI applications. Building on the risks identified in part one, AWS discusses strategies for mitigating these risks using Amazon Bedrock Agents. The focus is on ensuring sensitive data is protected when used with non-deterministic large language models (LLMs). By implementing robust data authorization strategies, businesses can safeguard their data assets while leveraging the capabilities of generative AI technologies.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, can assist organizations in implementing robust AWS security solutions. Whether it’s aligning telecom security with CISA guidance, ensuring compliance with PiTuKri and FINMA standards, or optimizing network security with AWS Network Firewall, KeyCore offers expertise and support. Our team can also guide you in securing data within generative AI applications, leveraging Amazon Bedrock Agents for enhanced protection. Partner with KeyCore to strengthen your AWS security posture and achieve compliance with industry standards.

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Innovating in the Public Sector

Orange County United Way Enhances Community Service with Amazon Connect

Orange County United Way, serving residents across 34 cities in Orange County, California, has significantly improved its community services by migrating its crisis hotline to Amazon Connect. In collaboration with AWS Partner SoftwareONE, this transition into the AWS Cloud has enhanced call routing, data collection, and supervisory capabilities. As a result, Orange County United Way can more effectively manage incoming calls and streamline service delivery to its hundreds of thousands of residents, thereby boosting overall efficiency and responsiveness in addressing community needs.

Secure and Compliant International Collaboration with AWS

In the sphere of national defense and security, AWS is facilitating secure and compliant international collaboration among allies. The Trusted Secure Enclaves (TSE) innovation on AWS enables non-US organizations to leverage advanced cloud technologies while adhering to compliance standards like the United States International Traffic in Arms Regulations (ITAR). This allows defense and security missions to be executed using modern, cloud-based solutions without compromising on data protection and regulatory requirements, ensuring robust cybersecurity and international cooperation.

Cloud Technology and Sustainability in Higher Education

A recent AWS ebook highlights the impact of cloud technology on sustainability goals within the higher education sector. Through case studies and insights, the publication showcases AWS’s collaboration with academic institutions to advance their sustainability initiatives. By adopting cloud-based solutions, these institutions can reduce their environmental footprint and promote sustainable practices, aligning with broader ecological objectives while embracing technological innovation.

AI-Driven Healthcare Innovation with PointHealth AI and Protege

PointHealth AI and Protege are leveraging AWS to revolutionize healthcare treatment recommendations. By using AI to analyze de-identified demographic and clinical data from millions of patient records, these HealthTech startups aim to offer doctors precise and personalized care recommendations. This approach seeks to enhance treatment accuracy and efficacy, reducing trial-and-error in medical prescriptions and improving patient outcomes.

EdTech and AI Innovations Unveiled at AWS re:Invent 2024

The AWS re:Invent 2024 EdTech AI Innovation Forum showcased groundbreaking announcements and customer success stories in educational technology. Attendees learned about new tools and strategies designed to propel EdTech innovations into 2025. These developments highlight AWS’s commitment to fostering an environment where educational institutions can harness AI technologies to improve learning experiences and outcomes.

Bridging the Digital Divide with HubbleIQ and Generative AI

HubbleIQ is transforming IT support services with generative AI on AWS, aiming to democratize digital connectivity. By enhancing autonomous IT support, HubbleIQ helps bridge the digital divide, providing more accessible and efficient solutions that empower users in various digital environments. This approach not only democratizes technology accessibility but also supports broader connectivity goals across diverse user bases.

Vendor Assessment Toolkit for Higher Education Available on AWS

The Higher Education Community Vendor Assessment Toolkit (HECVAT), developed by EDUCAUSE alongside the Shared Assessments working group, Internet2, and REN-ISAC, is now accessible via AWS Artifact. This toolkit assists higher education institutions in evaluating the security and privacy practices of cloud and technology vendors. By centralizing vendor compliance data, HECVAT simplifies the assessment process, enabling educational institutions to make informed decisions regarding technology partnerships and data security.

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AWS Open Source Blog

Qonto’s Prometheus RDS Exporter: Enhancing Amazon RDS Monitoring

Introduction to Qonto’s Prometheus RDS Exporter

Databases are crucial for applications and business continuity. Monitoring their performance, availability, and scalability is vital for Amazon Relational Database Service (Amazon RDS) administrators. Traditionally, this involves tracking various metrics like CPU usage, RAM, IOPS, storage, or service quotas through AWS tools such as Amazon CloudWatch.

Qonto has introduced a new Prometheus RDS Exporter, an open-source tool designed to streamline the monitoring process of Amazon RDS. This solution allows administrators to enhance their observability by integrating RDS metrics directly into Prometheus, a leading open-source systems monitoring and alerting toolkit.

Technical Overview

The Prometheus RDS Exporter collects vital metrics from Amazon RDS and makes them available to Prometheus. This integration allows for real-time monitoring and alert setup, optimizing database performance. The exporter works by querying the RDS performance insights and CloudWatch metrics via AWS SDKs, translating them into Prometheus-friendly formats.

Users can deploy the exporter as a Docker container or set it up in their existing infrastructure. Configuration involves specifying the RDS instances and desired metrics, which can then be visualized using Grafana dashboards, providing an intuitive display of database health and performance.

Business Value

The Qonto Prometheus RDS Exporter empowers businesses to gain deeper insights into their database operations. By centralizing RDS monitoring into a unified platform, organizations can reduce the complexity of managing multiple monitoring systems and improve their response times to potential issues. This capability supports enhanced business continuity and operational efficiency, crucial for maintaining competitive advantage.

How KeyCore Can Assist

KeyCore offers expert guidance and deployment services for the Prometheus RDS Exporter. With extensive knowledge in AWS services and open-source solutions, KeyCore can help organizations integrate this tool effectively into their existing monitoring systems. Whether businesses need consulting to optimize RDS performance or managed services for continuous support, KeyCore ensures the solution aligns with strategic objectives and maximizes return on investment. Visit KeyCore to learn how we can support your AWS and monitoring needs.

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