Summary of AWS blogs for the week of monday Mon Oct 14

In the week of Mon Oct 14 2024 AWS published 76 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Streamline Automation and Management of the Amazon WorkSpaces Family

Automating key processes is essential for managing the Amazon WorkSpaces Family of services effectively at scale. This process can maximize efficiency and productivity in handling virtual desktop environments. Through a detailed hands-on builders’ session, participants learned how to optimize the management of WorkSpaces Family services using automation, including scripts and other workflows. The focus is on creating a streamlined approach that reduces manual intervention and enhances scalability.

Automation Benefits

By effectively implementing automation, organizations can significantly reduce the time and effort spent on repetitive tasks. This not only improves operational efficiency but also allows IT teams to focus on more strategic initiatives. Automating routine management tasks helps in maintaining consistency, reducing human error, and ensuring compliance with organizational standards.

When Updates Can’t Wait, Look to the Cloud

Consistent and timely software updates are critical for maintaining enterprise security. Unfortunately, the urgency of this task often gets overlooked, leading to potential vulnerabilities. Delayed updates can expose businesses to damaging exploits that could be costly. The challenge is even more significant when updates are not managed with the necessary rigor.

Cloud-Driven Solutions

Leveraging cloud services can help address the challenge of delayed updates. Cloud platforms, like AWS, offer robust solutions that enable automated, timely deployment of software updates. This ensures that critical security patches are applied promptly, reducing the risk of vulnerabilities. By adopting cloud-based update management, enterprises can enhance their security posture while minimizing operational disruptions.

How KeyCore Can Help

KeyCore is well-positioned to assist organizations in optimizing their use of AWS for desktop and application streaming. With expertise in leveraging AWS services, KeyCore can guide businesses in automating their Amazon WorkSpaces management processes. Furthermore, KeyCore’s proficiency in cloud solutions can help enterprises implement effective strategies for timely software updates, ensuring robust security across their digital environments. By partnering with KeyCore, organizations can achieve enhanced operational efficiency and improved security outcomes.

Read the full blog posts from AWS

AWS DevOps & Developer Productivity Blog

Enhance Release Control with AWS CodePipeline Stage-Level Conditions

Development teams often utilize AWS CodePipeline to automate deployments and improve release quality through continuous integration. By automating deployment processes, teams can ensure consistent and reliable application and infrastructure releases. Stage-level conditions in AWS CodePipeline provide additional control over release processes, allowing enterprises to implement more sophisticated deployment strategies. This feature helps teams to enforce conditions for moving code between different stages, thereby enhancing the quality and security of deployments. It supports complex workflows by enabling conditional transitions and actions, which can be tailored to meet specific business requirements.

Instant Well-Architected CDK Resources with Solutions Constructs Factories

AWS Solutions Constructs provide AWS Cloud Development Kit (CDK) users with composable patterns to rapidly build well-architected workloads. These constructs link multiple AWS services, such as a combination of Amazon S3 and AWS Lambda, to create cohesive infrastructure patterns. The Solutions Constructs Factories extend this approach by offering pre-defined resources that align with AWS best practices. This allows developers to quickly deploy complex architectures without starting from scratch, saving time and reducing potential errors. By using these factories, developers ensure their solutions are scalable, secure, and cost-effective from the outset.

Five Ways to Optimize Code with Amazon Q Developer

Amazon Q Developer enhances software quality by providing tools for code optimization and performance improvement. It enables development teams to automate code optimization processes, which are crucial for maintaining high application stability and performance. By utilizing Amazon Q Developer, teams can streamline code review processes, identify inefficient code segments, and apply best practices automatically. These optimizations not only improve code quality but also ensure that application infrastructure is utilized efficiently, potentially reducing operational costs. The tool’s ability to analyze and enhance code makes it an invaluable asset for development teams aiming to boost productivity and output quality.

Code Security Scanning with Amazon Q Developer

Ensuring robust code security is a primary concern for developers, as it directly impacts user trust and data privacy. Amazon Q Developer aids in this effort by providing comprehensive code security scanning capabilities. The tool helps developers identify and mitigate vulnerabilities within their codebase, strengthening resilience against cyber threats. Automated security checks and remediation suggestions enable developers to fortify their software against potential security breaches. By integrating Amazon Q Developer into the development lifecycle, teams can uphold high security standards and protect their applications from emerging threats efficiently.

How KeyCore Can Help

KeyCore offers expert guidance and services to help organizations leverage AWS CodePipeline for enhanced release control. Our team can assist in integrating stage-level conditions to create robust deployment workflows. Additionally, KeyCore’s expertise in AWS Solutions Constructs and Amazon Q Developer can enable your team to rapidly deploy well-architected solutions and improve code security and optimization. Whether it’s through professional services or managed services, KeyCore ensures your AWS environment is optimized for scalability, security, and cost-efficiency. Visit KeyCore to learn more about how we can support your cloud initiatives.

Read the full blog posts from AWS

Official Machine Learning Blog of Amazon Web Services

Train, Optimize, and Deploy Models on Edge Devices

Amazon SageMaker and Qualcomm AI Hub offer an innovative solution for end-to-end model customization and deployment on edge devices. This integration enables developers to train and optimize machine learning models specifically for edge environments. The collaboration between SageMaker and Qualcomm AI Hub facilitates seamless deployment, ensuring models perform efficiently even with limited resources. This approach supports applications in diverse industries, catering to needs such as real-time data processing and immediate decision-making without relying on cloud connectivity.

Insights from Patient Consultations with AWS HealthScribe

Amazon Q Business, combined with AWS HealthScribe, provides a powerful tool for gaining insights from patient consultations. By leveraging this integration, healthcare providers can develop chatbots to analyze patient-clinician conversations, enhancing understanding and improving service delivery. This capability enables quick and efficient data extraction from consultations, contributing to better-informed medical decisions and improved patient care.

Integrating Amazon SageMaker Studio with Amazon EFS

Amazon SageMaker Studio can be integrated with Amazon Elastic File System (EFS) to provide scalable and secure data storage solutions for data science teams. This integration supports collaborative workflows across various scenarios. By using Amazon EFS, teams can efficiently manage data storage, ensuring seamless access and collaboration. The setup is particularly beneficial for projects requiring high security and scalability, optimizing resources for data-intensive tasks.

Secure Call Transcription with Amazon Transcribe and Bedrock

Amazon Transcribe, in conjunction with Amazon Bedrock Guardrails, offers a secure solution for summarizing call transcriptions. Utilizing AWS Step Functions, this architecture provides near real-time transcriptions, with Amazon Bedrock responsible for summarization and redaction of sensitive data. This ensures data privacy while facilitating efficient processing and integration, making it ideal for industries with strict compliance requirements.

Enhancing Video Metadata with DPG Media

DPG Media utilizes Amazon Bedrock and Amazon Transcribe to enhance video metadata. This AI-powered solution accelerates audio metadata extraction, integrating seamlessly into video publication pipelines. The result is improved user engagement and significant time savings. The collaboration exemplifies how AI can transform media workflows, offering enhanced content delivery and user experience.

Automating Code Generation with SailPoint

The AWS Generative AI Innovation Center partnered with SailPoint Technologies to develop a generative AI coding assistant using Anthropic’s Claude Sonnet on Amazon Bedrock. This solution automates TypeScript code generation for SaaS connectors, streamlining development processes. By leveraging generative AI, SailPoint enhances efficiency and accelerates software development, showcasing AI’s potential in coding automation.

Mapping Earth’s Vegetation with Amazon SageMaker

Amazon SageMaker’s geospatial capabilities enable the mapping of Earth’s vegetation in under 20 minutes. This demonstration highlights the platform’s efficiency and its potential impact on environmental monitoring. By leveraging SageMaker, organizations can utilize geospatial machine learning for sustainability and conservation efforts, enabling real-time environmental analysis and decision-making.

Intact’s Transformative AI Journey with AWS

Intact improved its contact center operations using AI-powered call auditing and analytics. By leveraging services like Amazon Transcribe, Intact’s Call Quality solution enhances key performance indicators, unlocking insights and improving customer service. This transformative journey demonstrates AI’s role in optimizing business operations and delivering superior customer experiences.

Migrating Portfolios with Amazon Bedrock

Amazon Bedrock and generative AI simplify and accelerate migration portfolio assessments. This powerful combination helps organizations streamline migration processes, ensuring scalability and efficiency. By using Amazon Bedrock, businesses can effectively manage and optimize migration efforts, minimizing disruptions and maximizing operational continuity.

Improving Public Speaking with Virtual Assistants

An Amazon Bedrock-powered virtual assistant supports public speaking by transcribing presentation audio and providing language use analysis. It offers recommendations and suggests curated speech versions, enhancing presentation quality. This innovative tool exemplifies how AI can assist personal skill development, making public speaking more effective and engaging.

Introducing Bria Models in SageMaker JumpStart

Bria’s family of models, including Bria 2.3, is now available on Amazon SageMaker JumpStart. These models offer advanced capabilities for AI applications, easily discoverable and deployable through SageMaker. The integration provides users with powerful tools for running inference, showcasing the platform’s versatility and ease of use for developers.

SageMaker Core SDK

The new SageMaker Core SDK simplifies the developer experience by providing an object-oriented Python interface for Amazon SageMaker. This SDK streamlines various steps in the ML lifecycle, enhancing the efficiency of model development and deployment. With comprehensive resources available, developers can leverage this SDK to optimize their machine learning workflows.

Data Labeling with Amazon SageMaker Ground Truth Plus

Amazon SageMaker Ground Truth Plus offers a robust data labeling platform, supporting diverse data types and utilizing a skilled workforce of human annotators. This service facilitates the creation of high-quality datasets, crucial for training machine learning models. Ground Truth Plus ensures scalability and accuracy, essential for successful AI projects.

Creating Multimodal Chatbots with Amazon Bedrock

Amazon Bedrock FMs enable the creation of multimodal chat assistants capable of processing images and text questions. These assistants retrieve responses from proprietary document sets, offering tailored interaction experiences. This capability demonstrates Amazon Bedrock’s flexibility in developing AI-driven solutions, enhancing user engagement through customized interactions.

Secure AI Workflow Design with Amazon Verified Permissions

Designing secure generative AI application workflows is possible with Amazon Verified Permissions and Amazon Bedrock Agents. These tools allow for fine-grained access control, ensuring secure interactions in AI applications. By leveraging these AWS solutions, businesses can maintain robust security protocols while enhancing AI-driven operations.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, can assist businesses in implementing these AWS innovations. With expertise in machine learning, AI, and AWS services, KeyCore offers tailored solutions to align with business objectives. Whether deploying models at the edge, enhancing media workflows, or improving customer service with AI, KeyCore provides the guidance and technical support needed to maximize AWS capabilities. Our team of experts is ready to help organizations harness the power of AWS to drive innovation and achieve strategic goals.

Read the full blog posts from AWS

Announcements, Updates, and Launches

Amazon Aurora PostgreSQL and Amazon DynamoDB Zero-ETL Integrations with Amazon Redshift Now Generally Available

Amazon has announced the general availability of zero-ETL integrations between Amazon Redshift and both Amazon Aurora PostgreSQL and Amazon DynamoDB. This innovative feature allows businesses to unlock insights instantly, eliminating the need for complex Extract, Transform, Load (ETL) pipelines. By enabling direct integration, data from Aurora PostgreSQL and DynamoDB can seamlessly flow into Amazon Redshift, allowing for real-time analytics and decision-making.

Traditionally, building and maintaining ETL pipelines required significant resources and expertise, often creating bottlenecks in data processing. With zero-ETL integration, this complexity is removed, allowing for efficient and timely data analysis. This advancement not only saves time and costs but also enhances the ability to derive actionable insights quickly.

For organizations focusing on agility and responsiveness, this feature represents a substantial leap forward. It facilitates more dynamic reporting and analytics capabilities, crucial for data-driven strategies.

AWS Weekly Roundup: GenAI Lofts and More

In the recent AWS Weekly Roundup, key highlights included AWS’s half-day conferences in London and Paris. These events, held at GenAI Lofts, focused on demonstrating how developers can leverage generative AI tools to enhance various stages of the software development lifecycle. By utilizing these advanced tools, developers can significantly speed up their design, analysis, code writing, debugging, and deployment workflows.

The GenAI Lofts provide a hands-on environment for developers to explore the potential of generative AI in real-world scenarios. The events are slated to continue until October 25 in London and November 5 in Paris, offering ongoing opportunities for learning and innovation.

Beyond these events, the roundup touched on recent updates to AWS services, including enhancements to AWS Lambda, Load Balancers, and the AWS Console. These updates aim to improve performance, usability, and integration capabilities, ensuring developers have the latest tools and features at their disposal.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to assist businesses in leveraging these new AWS features. Whether it’s integrating zero-ETL solutions or optimizing the use of generative AI tools, KeyCore provides expert guidance and support. Our team can help streamline your data analytics processes and enhance your software development workflows, ensuring you derive maximum value from AWS’s latest offerings. Visit our website to learn more about how we can support your AWS journey.

Read the full blog posts from AWS

Containers

Amazon Web Services (AWS) recently introduced Amazon EKS optimized Amazon Linux 2023 (AL2023) accelerated AMIs. These new AMIs are designed to enhance security and performance for users running Kubernetes on Amazon EKS. AL2023 represents the next generation of Amazon Linux, providing a secure, stable, and high-performance environment for developing and operating applications. This update supports the growth of AWS customers by offering advanced features that cater to their evolving needs.

Scaling Large Language Models on Amazon EKS

As organizations increasingly use large language models (LLMs) for artificial intelligence (AI) applications, managing these models’ computational demands becomes crucial. Utilizing NVIDIA NIM on Amazon EKS, combined with the Karpenter open-source project, offers a robust solution. This setup aids in efficiently deploying, configuring, and scaling LLMs on GPUs, ensuring organizations can deliver innovative experiences like content creation, customer service, and data analysis. Karpenter’s ability to automatically scale Kubernetes clusters helps manage resource-intensive workloads, optimizing the use of GPU resources within Amazon EKS.

Pinterest’s Advanced Logging and Monitoring on Amazon EKS

Pinterest has developed a sophisticated logging framework for its custom Spark jobs running on Amazon EKS, using AWS solutions like Fluent Bit, Amazon S3, and AWS Distro for OpenTelemetry (ADOT). In the first part of their series, Pinterest outlined the architecture of their logging infrastructure, which ensures operational visibility and aids in resolving issues effectively. This framework is instrumental in synthesizing insights from the platform’s extensive user base and supports data-driven decision-making and machine learning (ML) models. The second part delves deeper into Pinterest’s implementation, highlighting how these AWS services are integrated to enhance data logging and monitoring, providing a seamless operational experience.

Automating EKS Worker Node Builds with EC2 Image Builder

Automating the creation of Amazon EKS worker nodes can significantly streamline operations for organizations using EC2 Image Builder for their “Golden Image” AMIs. AWS provides CloudFormation templates to extend the Image Builder pipelines, facilitating the automated build process for EKS worker nodes. This automation ensures that worker nodes are consistently configured and provisioned, improving efficiency and reducing the potential for manual errors. This approach allows businesses to maintain high operational standards while focusing on more strategic initiatives.

KeyCore Expertise

KeyCore, as a leading AWS consultancy in Denmark, offers expertise in optimizing Kubernetes environments on Amazon EKS. Whether it’s deploying enhanced AMIs, scaling AI applications with NVIDIA NIM and Karpenter, or setting up advanced logging frameworks like Pinterest’s, KeyCore provides tailored solutions to meet your business needs. Our services ensure your AWS infrastructure is secure, efficient, and capable of handling complex workloads. With our professional and managed services, KeyCore assists organizations in achieving seamless integration and operation of AWS services, empowering them to focus on innovation and growth. Learn more about our offerings at KeyCore.

“`

Read the full blog posts from AWS

Official Database Blog of Amazon Web Services

Amazon Web Services continues to enhance its database offerings with a focus on simplifying user experiences and boosting security measures. Below are summaries of recent discussions and developments in AWS’s Official Database Blog that highlight innovations in database management and integration.

Troubleshooting INCOMPATIBLE_CREATE Issues in Amazon RDS Custom Instances

Amazon RDS Custom users often encounter the INCOMPATIBLE_CREATE state, primarily due to missing instance profile permissions. This issue affects the creation of custom RDS instances, halting the setup process. The AWS blog post details troubleshooting steps and methods to identify the root causes of these permission errors. Users are guided through checking their IAM roles and policies, ensuring that necessary permissions are correctly assigned to resolve the issue. Addressing these permission discrepancies is crucial for successful deployment and management of RDS Custom instances.

IAM Authentication with Amazon DocumentDB

Amazon DocumentDB now includes support for IAM authentication, enhancing security by allowing users and applications to authenticate using IAM roles and users. This feature simplifies identity management by integrating it with AWS’s centralized IAM system. The AWS blog provides a comprehensive guide on enabling IAM authentication for DocumentDB clusters. By leveraging IAM, organizations can enforce consistent security policies across AWS services, reducing the complexity of managing multiple authentication mechanisms.

Migrating from IBM Db2 for z/OS to Amazon RDS for Db2

Amazon RDS for Db2 is a recent addition to the AWS database family, offering significant compatibility advantages for users migrating from IBM Db2 for z/OS. The blog outlines a systematic approach for migrating schemas and data, aiming to minimize effort and downtime. RDS for Db2 provides robust tools for evaluating and executing migration tasks, making it a suitable choice for enterprises looking to modernize their database infrastructure with minimal disruption.

Understanding Versions in Amazon DynamoDB

Amazon DynamoDB operates differently from traditional databases, as it doesn’t adhere to specific versions. Since its launch in January 2012, DynamoDB has functioned without version upgrades, maintenance windows, or downtime due to maintenance. This serverless approach ensures seamless access to new features, reflecting AWS’s commitment to providing a highly available and scalable database solution without the operational overhead of version management.

Zero-ETL Integration Between Amazon Aurora PostgreSQL and Amazon Redshift

Amazon Aurora PostgreSQL’s zero-ETL integration with Amazon Redshift is now generally available, addressing challenges associated with traditional data analytics processes. This integration enables real-time data analysis without the need for complex ETL processes, streamlining data workflows and reducing latency. The AWS blog emphasizes the business value of this integration, allowing organizations to derive insights more quickly and efficiently from their data assets.

Importing Amazon Personalize Recommendations into Amazon DynamoDB

The AWS blog discusses the process of importing recommendations generated by Amazon Personalize into Amazon DynamoDB. This integration facilitates the utilization of personalized insights within applications, enhancing user engagement and experience. Detailed steps are provided to guide users through setting up the import process, ensuring that personalized data is effectively stored and accessible in DynamoDB for use in real-time personalization scenarios.

KeyCore, as a leading AWS consultancy, can assist organizations in navigating these advancements and integrating AWS’s database technologies into their operations. KeyCore’s expertise in deploying and managing AWS database solutions ensures that businesses can fully leverage AWS’s offerings to achieve their strategic objectives.

Read the full blog posts from AWS

AWS for Games Blog

Good Job Games, a prominent player in the mobile gaming industry, has managed to accelerate its build pipeline by 43% by leveraging AWS services. Co-authored by Kaan Turkmen, a DevOps Engineer at Good Job Games, the article delves into the strategic use of AWS to optimize game development processes.

Crafting a Scalable Build Pipeline with AWS

To enhance their game development efficiency, Good Job Games implemented a robust AWS-based pipeline. Key AWS services such as Amazon EC2, Amazon Elastic File System (EFS), and Amazon S3 were pivotal in this transformation. These services collectively contributed to creating a scalable and secure environment that supports their continuous integration and continuous deployment (CI/CD) needs.

Leverage of Amazon EC2 and EFS

Amazon EC2 provided the necessary compute power needed for building and testing game updates. By dynamically scaling EC2 instances, Good Job Games ensured that they had the optimal infrastructure for processing builds without incurring unnecessary costs. Meanwhile, Amazon EFS offered a scalable file storage solution that allowed seamless data sharing across multiple EC2 instances, ensuring that all components of the build pipeline were synchronized efficiently.

Storage and Distribution with Amazon S3

Amazon S3 played a crucial role in storing build artifacts and distributing them across the development team. Its highly available and durable architecture ensured that all game build data was securely stored and readily accessible. This reduced latency in retrieving build artifacts and facilitated quicker testing and deployment cycles.

Business Value of AWS Integration

By integrating AWS services into their build pipeline, Good Job Games significantly reduced build times and improved the overall agility of their development processes. This not only accelerated their time-to-market for new features and updates but also enhanced their ability to respond to market changes swiftly.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, can assist gaming companies in designing and implementing efficient build pipelines similar to that of Good Job Games. With expertise in AWS services, KeyCore can tailor solutions that enhance development workflows, ensuring scalability, security, and cost-efficiency. Whether you’re looking to optimize your current processes or build from the ground up, KeyCore offers both professional and managed services to meet your needs. Visit KeyCore to learn more about how we can support your AWS journey.

Read the full blog posts from AWS

AWS Training and Certification Blog

Enhance Your Skills with AWS Cloud Quest and AWS Jam

AWS Cloud Quest and AWS Jam are revolutionary platforms designed to boost technical skills and real-world competency in AWS Cloud computing. These resources combine gamification, hands-on learning, and real-world scenarios to offer a unique learning experience.

Gamification and Hands-On Learning

The gamification aspect of AWS Cloud Quest turns learning into an engaging journey, making complex cloud concepts more approachable and enjoyable. By integrating game mechanics, participants are motivated to solve problems and progress through levels, enhancing their understanding of AWS services.

In parallel, AWS Jam provides hands-on learning experiences through real-world scenarios. Participants tackle practical challenges that mimic real-life cloud issues, enabling them to apply theoretical knowledge in practical settings. This approach ensures that learners not only understand the concepts but can also implement them in real-world situations.

Preparing for Professional Success

The combination of AWS Cloud Quest and AWS Jam equips individuals with the skills necessary for success in professional environments. Whether one is an experienced IT professional or at the beginning of their cloud journey, these platforms offer valuable opportunities to learn and grow.

By engaging with realistic scenarios and challenges, participants can develop the problem-solving skills needed in the dynamic field of cloud technology. This preparation is crucial for excelling in roles that demand a deep understanding of AWS services and cloud architecture.

How KeyCore Can Assist

KeyCore can offer significant assistance in leveraging AWS Cloud Quest and AWS Jam for skill development. With expertise in AWS solutions, KeyCore provides guidance and support to individuals and organizations aiming to enhance their cloud capabilities.

As a leading AWS consultancy in Denmark, KeyCore can help tailor learning paths and integrate these platforms into broader training programs, ensuring that the learning experience aligns with organizational goals and industry demands.

For more information on how KeyCore can support your AWS training journey, visit KeyCore’s website.

Read the full blog posts from AWS

Official Big Data Blog of Amazon Web Services

A multinational financial credit reporting company enhanced its log management using Amazon OpenSearch Ingestion pipelines. The decision followed several challenges with existing solutions. The company needed a scalable and efficient system to streamline log management across multiple global locations. Amazon OpenSearch Ingestion pipelines provided the necessary capabilities, offering a seamless and flexible solution that catered to their specific needs. This choice improved their operational efficiency and reduced the complexity of managing extensive logs.

Configuring single sign-on (SSO) for Amazon OpenSearch Service using SAML and Keycloak is a straightforward process. By utilizing OpenSearch Service and Keycloak, users can set up service provider-initiated authentication for OpenSearch Dashboards. This setup also involves configuring users, groups, and roles in Keycloak to manage access control effectively. This integration facilitates secure and manageable access to OpenSearch Dashboards, improving user experience and administrative efficiency.

Amazon DynamoDB now offers zero-ETL integration with Amazon Redshift, announced as generally available. This integration enables seamless high-performance analytics of DynamoDB data in Amazon Redshift with minimal impact on DynamoDB’s operational workloads. As data is ingested into a DynamoDB table, it becomes immediately available in Amazon Redshift. This eliminates the need for complex data transformation pipelines, simplifying data analytics workflows significantly.

The new Amazon OpenSearch Service YouTube channel is a valuable resource for learning and mastering Amazon OpenSearch Service. The channel covers a wide range of topics from basic searches and vectors to advanced analytics and optimization of large-scale implementations. It aims to empower users to fully leverage the capabilities of OpenSearch Service, serving as a comprehensive learning platform for enhancing search and analytics skills.

Due to the discontinuation of Amazon Kinesis Data Analytics for SQL by January 27, 2026, AWS encourages migration to Amazon Managed Service for Apache Flink and Flink Studio. These services provide robust alternatives for real-time data stream processing. This post guides users through the migration process of SQL queries and workloads, ensuring continuity and improved functionality in their data processing endeavors.

Metadata plays a crucial role in text-to-SQL generation for Amazon Athena. Challenges in metadata maintenance can hinder SQL query generation accuracy. By leveraging Amazon Bedrock, users can enrich metadata to improve text-to-SQL translation. This post highlights strategies to overcome maintenance challenges and enhance metadata quality, thereby boosting query precision and reliability.

Amazon EMR 7.2 introduces Application Master Placement, enhancing scaling capabilities. This feature allows the allocation of AM containers within On-Demand nodes using YARN node labels. It significantly optimizes resource utilization, application reliability, and cost-efficiency in EMR on EC2 clusters. This post explores key features and use cases, demonstrating how cluster administrators can leverage this functionality for improved performance.

KeyCore, as Denmark’s leading AWS consultancy, can assist businesses in implementing these AWS solutions tailored to their specific needs. Our expertise in AWS services enables clients to efficiently adopt and integrate these technologies, enhancing their operational workflows and achieving business goals. Whether it’s optimizing data pipelines, securing access with SSO, or scaling EMR clusters, KeyCore provides the guidance and support necessary for successful AWS implementations.

Read the full blog posts from AWS

AWS Compute Blog

The AWS Compute Blog recently highlighted two key advancements in serverless and AI model deployment with articles focused on AWS Lambda and Amazon EC2 c7i instances. These enhancements aim to streamline development and improve operational efficiency for AWS users.

Enhancing Lambda Development with CloudWatch Logs and Metrics

Authored by Shridhar Pandey, the article details new AWS Lambda console features that enhance developers’ abilities to build and manage serverless applications. The first feature is the integration of Amazon CloudWatch Logs Live Tail directly into the Lambda console, providing users with real-time visibility into their Lambda function logs. This enables developers to quickly diagnose and resolve runtime issues without leaving the console. Moreover, Metrics Insights is now part of the Lambda console, offering advanced querying capabilities to analyze performance metrics efficiently. This integration aids in optimizing function performance by allowing detailed insights into specific metric queries. These enhancements simplify the monitoring and debugging process, fostering a more streamlined development environment.

Deploying Falcon 2 11B on EC2 c7i Instances

Paul Tran, Asif Mujawar, Abdullatif AlRashdan, and Shivagami Gugan collaborated to present the deployment of the Falcon 2 11B foundation model (FM) on Amazon EC2 c7i instances. Developed by the Technology Innovation Institute (TII), this next-gen AI model can now leverage the processing power of EC2 c7i instances. These instances are equipped with the latest Intel CPU architecture, optimized for AI and machine learning workloads. The enhanced performance capabilities of c7i instances enable efficient model inference, accommodating complex calculations and reducing latency. This deployment facilitates scalable AI model operations, making it feasible for enterprises to implement advanced AI solutions with AWS infrastructure.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy, offers expertise in implementing and optimizing serverless architectures using AWS Lambda. Our team can help integrate these new Lambda features to ensure the efficient development and maintenance of your applications. Additionally, for organizations looking to leverage AI models like Falcon 2 11B, KeyCore provides guidance on deploying and managing AI workloads on Amazon EC2. Our services ensure that businesses maximize the potential of AWS infrastructure while maintaining performance and cost efficiency. Visit KeyCore to learn more about how we can support your cloud initiatives.

Read the full blog posts from AWS

AWS for M&E Blog

In the dynamic world of live sports, viewers increasingly demand instant and precise information. Traditional search methods often fall short, but AWS is paving the way for a revolutionary approach with generative AI. Imagine simply asking your TV, “When’s the next Formula One race?” and receiving an immediate, accurate answer. This innovation is set to redefine how audiences interact with live sports content.

Generative AI: The Game Changer

Generative AI leverages advanced machine learning models to understand and interpret complex queries related to live sports. By integrating natural language processing, this AI can efficiently parse spoken questions and deliver precise answers. It analyzes a plethora of data sources in real-time, ensuring that the information provided is both current and relevant. This capability not only enhances viewer satisfaction but also positions service providers as leaders in customer engagement.

Technical Implementation on AWS

Implementing generative AI for live sports search on AWS involves using several key services. Amazon Lex is utilized for building conversational interfaces, enabling voice interaction with applications. AWS Lambda functions act as the computing backbone, processing requests and integrating data. Additionally, Amazon Kendra can be used to provide highly accurate search results across diverse content repositories. The system harnesses Amazon SageMaker to train and deploy machine learning models, ensuring continuous improvement and scalability.

Business Impact and Viewer Experience

For broadcasters and streaming services, this AI-driven solution translates into profound business value. By providing instant, accurate sports information, companies can significantly enhance user engagement and retention. The technology offers a competitive edge, enabling service differentiation in a crowded market. It also opens avenues for personalized advertising and content recommendations, further enriching the viewer experience.

How KeyCore Can Help

KeyCore, a leading AWS consultancy in Denmark, offers expert guidance in implementing generative AI solutions tailored to the media and entertainment industry. With deep technical expertise and experience in AWS services, KeyCore can assist in designing, deploying, and managing AI-driven search solutions. By partnering with KeyCore, businesses can leverage cutting-edge technology to boost viewer satisfaction and achieve strategic goals.

Read the full blog posts from AWS

Integration & Automation

In the rapidly evolving landscape of artificial intelligence, deploying generative AI solutions efficiently is crucial for maintaining competitiveness. The blog post on automating the deployment of a generative AI chatbot using Terraform provides a comprehensive approach using various AWS services, ensuring robust infrastructure and seamless integration.

Integrating AWS Services for AI Deployment

The guide highlights the use of Amazon Bedrock and its associated services, such as Amazon Bedrock Agents and Knowledge Bases. These services form the backbone of the intelligent chatbot, enabling it to process and respond to queries contextually. By integrating with Amazon OpenSearch Service, the chatbot gains enhanced search capabilities, allowing for more accurate and relevant user interactions.

Infrastructure as Code (IaC) with Terraform

Terraform is utilized for its Infrastructure as Code capabilities, which streamline the deployment process. By defining infrastructure in code, teams benefit from version control and consistent deployments across environments. This reduces the likelihood of errors and accelerates provisioning times, essential for agile development practices. The use of IaC fosters improved collaboration among team members, as infrastructure configurations are transparent and shareable.

Automation and DevOps Benefits

Automation is at the core of this deployment strategy, aligning with key DevOps principles. Automated processes ensure that infrastructure changes are predictable and repeatable, ultimately enhancing system reliability. These practices lead to faster iterations and deployments, providing businesses with the agility needed to adapt to market demands and technological advancements swiftly.

KeyCore’s Expertise in AI Integration

KeyCore, as a leading AWS Consultancy, can assist businesses in implementing such advanced AI solutions. With expertise in AWS services and Terraform, KeyCore helps organizations design, deploy, and manage scalable AI infrastructures. By leveraging KeyCore’s professional services, businesses can harness the full potential of AWS technologies, ensuring that AI deployments are efficient, secure, and aligned with strategic objectives.

For more information on how KeyCore can transform your AI deployment strategy, visit our website at KeyCore.dk.

Read the full blog posts from AWS

AWS Storage Blog

Enterprises frequently rely on Amazon Elastic Block Store (Amazon EBS) to support mission-critical workloads. This choice is driven by the block storage service’s ability to deliver high performance, low latency, and dependable data access essential for demanding applications, including databases, ERP systems, and real-time analytics. These workloads often involve critical application data, crucial configurations, or even operating system files hosted on EBS volumes.

Ensuring Data Protection with AWS Backup

Given the critical nature of the data stored on Amazon EBS, it is paramount to implement a robust backup solution. AWS Backup is designed to protect EBS volumes efficiently. It offers a centralized approach to backup management, automating the process and ensuring that compliance and regulatory requirements are consistently met. The service’s integration with Amazon EBS allows for seamless management of backups, reducing the risk of data loss and expediting recovery times in the event of failures.

Benefits of Using AWS Backup for EBS

By using AWS Backup for Amazon EBS, organizations can achieve a high level of data resilience. The service simplifies backup scheduling and policy management, allowing for consistent and automated backups. In the event of a data mishap or system failure, AWS Backup provides a reliable mechanism to restore EBS volumes to a previous state, minimizing downtime and operational impacts. Additionally, AWS Backup’s features support compliance with data protection standards, helping businesses adhere to strict data governance and security mandates.

KeyCore’s Expertise in AWS Backup Solutions

KeyCore, a leading AWS consultancy in Denmark, offers tailored solutions to enhance data protection strategies through AWS Backup. With extensive experience in architecting and managing backup solutions, KeyCore ensures that your enterprise data is safeguarded effectively. Our team provides comprehensive services, from designing backup architectures to implementing and managing AWS Backup solutions, ensuring optimized performance and compliance. By partnering with KeyCore, enterprises can leverage our expertise to secure their critical data and maintain business continuity seamlessly.

Read the full blog posts from AWS

AWS Architecture Blog

Building on the first part of the series, which utilized a floating virtual IP (VIP) for high availability (HA) of the WebLogic Admin Server, this article explores an enhanced solution via Domain Name System (DNS) resolution. This approach leverages DNS to resolve the address for the WebLogic admin server, providing an arguably superior method for achieving multi-availability zone (AZ) HA.

DNS-Based High Availability

The DNS-based solution for WebLogic Admin Server involves configuring DNS to dynamically resolve to different IP addresses based on server availability. This setup enhances resilience and ensures seamless continuity even if a failure occurs in one AZ. The DNS approach is beneficial because it eliminates the need for manual intervention, thus offering a more hands-off, automated strategy for maintaining HA.

Technical Implementation

To implement this solution, users will need to set up a DNS service that supports health checks and failover. AWS Route 53 is an ideal choice due to its robust routing policies and integration with AWS services. The process involves configuring Route 53 to route traffic based on the health status of the WebLogic servers across multiple AZs. This can be achieved by creating a Route 53 health check for each server and configuring weighted or failover routing policies to ensure traffic is directed to the healthy server.

Business Benefits

Adopting a DNS-based approach for HA in WebLogic environments provides not only technical robustness but also significant business advantages. This solution reduces downtime risk, thereby enhancing user satisfaction and maintaining business continuity. Moreover, it optimizes resource usage by dynamically balancing the load across available servers, leading to cost efficiencies and improved service performance.

How KeyCore Can Help

KeyCore is equipped to assist organizations in implementing this DNS-based HA solution for WebLogic Admin Server. With expertise in AWS services, including Route 53, KeyCore can design, deploy, and manage highly available architectures tailored to specific business needs. By leveraging KeyCore’s professional and managed services, businesses can ensure a seamless transition to a more resilient WebLogic setup.

Read the full blog posts from AWS

AWS Partner Network (APN) Blog

Entitlement Enlightenment with SailPoint and AWS

SailPoint has enhanced its Identity Security Platform by incorporating Generative AI on AWS. This integration creates clear descriptions for security entitlements, making identity management and access certification simpler for organizations. Through leveraging generative AI, SailPoint transforms identity governance, providing a streamlined security approach for enterprises. This innovative solution underscores the potential of AI in redefining identity security measures.

Introducing New AWS Partners in September

In September, AWS welcomed 188 new and renewed partners across its global AWS Competency, Managed Service Provider (MSP), Service Delivery, and Service Ready programs. These partners cover various workloads, solutions, and industries, helping customers achieve core business objectives. These AWS partners are dedicated to customer success and maximizing the business advantages of AWS offerings. This expansion highlights AWS’s commitment to supporting its partners in delivering specialized and certified solutions to clients worldwide.

Enhancing Software Delivery Security with Snyk and Amazon EventBridge

Snyk, an AWS Partner, offers a developer-focused approach to application security, enabling teams to find and address vulnerabilities throughout the software delivery lifecycle. By integrating with Amazon EventBridge, Snyk provides real-time event monitoring and automation, ushering in a new era of event-driven security. This integration empowers security teams and developers, enhancing efficiency and effectiveness in managing application security.

Optimizing Unstructured Data Protection with Rubrik NAS Cloud Direct

Rubrik NAS Cloud Direct, a SaaS solution built on AWS, revolutionizes the protection of unstructured data. This scalable solution safeguards multi-terabyte file systems, whether they reside on-premises or in the cloud. As unstructured data grows exponentially, Rubrik offers companies a robust strategy for data protection, ensuring data integrity and security across various environments.

Freshworks’ CloudVerse: A GenAI Platform Powered by AWS

Freshworks has developed CloudVerse, an enterprise-grade Generative AI platform on AWS, enhancing its AI offering, Freddy AI. In collaboration with AWS, Freshworks accelerates the development of generative AI applications through CloudVerse. This platform provides AI-as-a-Service (AIaaS), enabling Freshworks to leverage services such as Amazon EKS, AWS Lambda, and Amazon Bedrock. AWS’s support allows Freshworks to maintain a competitive edge in AI innovation.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers expertise in integrating advanced AWS solutions across various domains. Whether it’s enhancing identity security with generative AI, optimizing application security, or protecting unstructured data, KeyCore can provide tailored solutions. Our team excels in leveraging AWS services to meet specific business needs, ensuring efficient and effective implementation. Contact KeyCore for expert guidance and support in harnessing AWS technologies for your business.

Read the full blog posts from AWS

AWS HPC Blog

Understanding and implementing the latest technologies in cloud computing can be complex. AWS provides powerful tools for deploying AI applications, batch processing, and identity management. Below are summaries of recent AWS HPC Blog articles, simplifying these topics into digestible insights.

Deploying AI Models with NVIDIA NIM on Amazon EKS

In the second part of a two-part series, the article dives into deploying AI models at scale using NVIDIA NIM microservices on Amazon Elastic Kubernetes Service (EKS). The guide offers a step-by-step approach to creating a GPU cluster for inference, leveraging the synergy between cutting-edge NVIDIA technologies and AWS infrastructure. By executing this deployment strategy, businesses can efficiently manage and scale their AI workloads, enabling faster inference and reduced latency. This integration not only maximizes resource utilization but also simplifies the operational complexities associated with AI model deployment on the cloud.

Deploying AWS Batch on Amazon EKS with Terraform

Another insightful piece discusses using Terraform to deploy a complete AWS Batch environment on Amazon EKS. Terraform, known for its infrastructure as code capabilities, provides a robust blueprint for setting up batch processing environments. This setup allows organizations to efficiently manage and execute large-scale job processing workloads in the cloud. By utilizing AWS Batch on Amazon EKS, businesses can automate job scheduling, reduce overhead, and focus on optimizing their computational tasks, ultimately leading to cost savings and improved operational efficiency.

Identity Management for Research and Engineering on AWS

A practical guide on identity management in Research and Engineering Studio on AWS highlights the available identity options for secure VDI (Virtual Desktop Infrastructure) access. The article explores various SAML Identity Providers (IdPs) and Active Directory configurations that can be implemented. Understanding these identity management solutions is crucial for organizations seeking to enhance security and streamline access management in their virtualized environments. Proper implementation ensures that users have seamless and secure access to necessary resources while adhering to compliance and security standards.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, is well-positioned to assist organizations in navigating these complex AWS environments. With expertise in deploying AI applications, structuring batch processing systems, and implementing secure identity management solutions, KeyCore provides tailored support to leverage AWS capabilities effectively. Whether through professional services or managed services, KeyCore ensures that businesses can optimize their AWS infrastructure for maximum performance and security.

Read the full blog posts from AWS

AWS Cloud Operations Blog

Exploring AWS Config Data with Amazon Athena and Amazon Managed Grafana

This article, co-authored by Jacob Rickerd, Principal Security Engineer at Attentive, provides a detailed walkthrough of creating an example dashboard using Amazon Athena and Amazon Managed Grafana. Attentive, a leading AI-powered mobile marketing platform, utilizes this dashboard for a comprehensive resource inventory. This serves as an initial framework for organizations to create tailored dashboards that align with their unique environments and tagging policies.

The blog post highlights how Amazon Athena can query AWS Config data to deliver insights into resource configurations and compliance. By integrating Amazon Managed Grafana, users can visualize these insights through dynamic and customizable dashboards. This integration allows for effective monitoring and management of resources, enhancing operational efficiency and compliance tracking. The post serves as a valuable guide for organizations seeking to leverage AWS Config data to improve their cloud operations and resource management capabilities.

CloudWatch Evidently Support Ending Soon

AWS has announced the discontinuation of CloudWatch Evidently, effective October 17, 2025. Users currently relying on this service can continue its usage until the specified date, after which support will cease. AWS will maintain critical security patches during this transitional period but will no longer process requests for limit increases.

This decision requires current CloudWatch Evidently users to plan accordingly for the transition. Businesses must explore alternative AWS services or third-party tools to replace the functionalities previously provided by CloudWatch Evidently. Early preparation will be crucial to ensure minimal disruption to their monitoring and experimentation workflows.

Organizations should consider evaluating other AWS services like AWS CloudWatch Metrics or AWS Lambda for similar functionalities, depending on specific business needs and technical requirements.

Read the full blog posts from AWS

AWS for Industries

Toyota’s Migration to AWS for Enhanced Connectivity

Toyota, in its transformation from an automotive to a mobility company, has prioritized “connected cars” to enhance customer safety and the overall vehicle ownership experience. With the help of its affiliate, Toyota Connected North America, it successfully migrated its Safety Connect telematics services platform to AWS with virtually zero downtime. This strategic move leverages AWS’s robust cloud capabilities, enabling Toyota to manage vast amounts of data generated by its connected vehicles while ensuring high availability and reliability. The migration supports Toyota’s vision of providing innovative mobility solutions and underscores its commitment to delivering superior customer experiences.

Enhancing Customer Experience with Generative AI and Telecom APIs

As customer expectations for personalized and efficient experiences grow, organizations are harnessing artificial intelligence (AI) to improve customer support. By integrating generative AI through Agents for Amazon Bedrock and utilizing Telecom Networks API under GSMA’s Open Gateway and Camara initiative, companies can develop smart chatbots and agents. These technologies allow businesses to deliver tailored interactions and quicker resolutions, thus elevating customer satisfaction. The use of these advanced AI tools facilitates the creation of dynamic and responsive support systems, capable of handling customer inquiries with precision and agility.

Boosting Sales Productivity in Life Sciences with Sales Concierge on AWS

The life sciences industry is witnessing rapid changes, compelling sales teams to adapt to new challenges in engaging healthcare professionals (HCPs). AWS’s Sales Concierge provides a solution by offering quick access to critical data and intelligent guidance for HCP interactions. This tool streamlines administrative tasks through automation, enabling sales teams to focus on strategic engagements and enhance their productivity. By adopting AWS solutions, life sciences companies can effectively navigate complex drug portfolios and competitive landscapes, ensuring they maintain a robust presence in the market.

Improving Utility Customer Experience with Generative AI

The utilities sector is adapting to a digitized and resource-constrained world by modernizing infrastructure, expanding capacity, and integrating green energy sources. Generative AI offers utilities the opportunity to enhance customer experience and field service efficiency. By deploying AI-driven strategies, utilities can optimize resource utilization, reduce waste, and deliver proactive customer support. These innovations help utilities to meet growing demand sustainably while maintaining high service standards. The adoption of AI in utilities signifies a shift towards smarter, more responsive operations, aligned with contemporary environmental and consumer expectations.

BMW Group’s No-Code Generative AI Data Analytics on AWS

BMW Group is addressing the challenges of data transformation by leveraging AWS’s no-code generative AI data analytics solution. This initiative empowers employees to convert raw data into actionable insights without requiring specialized programming skills. By fostering a data-driven culture, BMW enhances its decision-making processes and operational efficiency. AWS’s generative AI tools provide BMW with the flexibility to explore data analytics more intuitively, facilitating a democratized approach to data utilization. This project highlights BMW’s commitment to innovation and its pursuit of excellence through cutting-edge technology.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in all aspects of AWS adoption and optimization. Whether it’s migrating complex platforms like Toyota’s Safety Connect, or implementing advanced AI solutions for customer experience or operational efficiency, KeyCore provides tailored services to meet diverse industry needs. Our professional and managed services ensure that organizations can fully leverage AWS’s capabilities to drive innovation, improve productivity, and enhance customer engagement. Partner with KeyCore to transform your business with the power of AWS.

Read the full blog posts from AWS

AWS Messaging & Targeting Blog

Introduction to AWS End User Messaging

AWS End User Messaging is a powerful tool for sending SMS messages to recipients worldwide. This capability is essential for businesses looking to expand their communication reach internationally. Before deploying SMS services across different countries, it is advised to understand the intricacies of AWS End User Messaging, particularly regarding the use of origination identities.

Understanding Origination Identities

When sending SMS or MMS messages through AWS End User Messaging, it is crucial to use a specific origination identity. This identity is the number or sender ID that indicates where the message originates. Different countries have varying requirements for these identities, often necessitating country-specific numbers or alphanumeric sender IDs. Compliance with these requirements ensures successful message delivery and avoids regulatory issues.

US Toll-Free Number Registrations

For businesses targeting audiences in the United States, toll-free numbers are a popular choice. These numbers are easily recognizable and often enhance brand image and customer trust. Automating the registration process for US toll-free numbers can streamline operations, reduce manual effort, and ensure timely compliance with regulations.

KeyCore’s Assistance

KeyCore is equipped to assist businesses in navigating the complexities of AWS End User Messaging. Whether the need is to automate toll-free number registrations or to ensure compliance with international messaging requirements, KeyCore offers expert guidance and support. With our deep knowledge of AWS services, we can help optimize your messaging strategy for maximum impact and efficiency.

Read the full blog posts from AWS

AWS Marketplace

In today’s globalized digital landscape, data sovereignty is increasingly important for organizations that operate across multiple jurisdictions. The collaboration between AWS Hybrid Cloud Services and InCountry provides a robust solution to this critical challenge, ensuring compliance with local data residency laws while leveraging the power of the AWS Cloud.

InCountry’s Data Residency Solution

InCountry offers a data residency solution that allows businesses to store and process data in specific countries where they operate. This is crucial for meeting regulatory requirements related to data sovereignty. By integrating with AWS services, InCountry ensures that data is held and managed in compliance with local laws, without compromising on the agility and scalability provided by cloud technologies.

Leveraging AWS Hybrid Cloud Services

AWS Hybrid Cloud Services facilitate seamless integration between on-premises resources and cloud infrastructures. This hybrid approach allows organizations to maintain data within specific geographic boundaries while still benefiting from AWS’s extensive portfolio of cloud services. Companies can manage their data residency needs efficiently, ensuring that data remains within the required jurisdictions at all times.

Achieving Data Sovereignty

The combined capabilities of AWS and InCountry mean that organizations can achieve data sovereignty without sacrificing the advantages of cloud computing. The solution is particularly beneficial for industries such as finance, healthcare, and government, where data residency is of paramount importance. By partnering with AWS and InCountry, companies can safeguard their sensitive information while enjoying enhanced operational flexibility and reduced infrastructure costs.

How KeyCore Can Help

KeyCore, as a premier AWS consultancy, provides expert guidance and implementation services to help businesses navigate complex data residency requirements. By leveraging our deep expertise in AWS technologies and strong partnerships, KeyCore can assist organizations in deploying tailored solutions that address their specific data sovereignty needs. From initial consultation to full deployment, KeyCore ensures that businesses achieve compliance with efficiency and confidence.

Read the full blog posts from AWS

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

Options for AWS Customers Using Entrust-Issued Certificates

Recently, several popular web browsers have announced that they will cease to trust public certificates issued by Entrust starting in late 2024. This decision means that AWS customers using Entrust-issued certificates will need to plan ahead. Certificates issued by Entrust up to November 11, 2024, will continue to be valid and trusted until they reach their natural expiration. However, any certificates issued after this date will not automatically be trusted by these browsers, according to the latest communication from browser developers.

To ensure continuity and avoid disruptions, AWS customers should consider transitioning to alternative certificate authorities. Planning for this transition in advance will help maintain seamless operations and avoid any potential issues related to certificate validity. AWS provides various options to facilitate the migration process, including integration with the AWS Certificate Manager (ACM) for managing SSL/TLS certificates. Customers can leverage AWS’s powerful tools and documentation to streamline this transition effectively.

Automated Reasoning Enhances AWS System Efficiency

A recent insight shared during a visit to the Defense Advanced Research Projects Agency (DARPA) highlighted AWS’s successful implementation of automated reasoning over the past decade. Automated reasoning involves the use of formal verification to enhance code performance and maintainability. At AWS, code that undergoes formal verification often outperforms its unverified counterparts. This seemingly counterintuitive result occurs because verified code is typically more optimized and has undergone rigorous checks to ensure efficiency.

By ensuring that code is correct and meets specified requirements, AWS can reduce the chances of errors and make systems more robust. This approach not only improves performance but also simplifies the maintenance process. Automated reasoning represents a significant advancement in how AWS develops and maintains its services, providing enhanced reliability and efficiency to its customers.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance on navigating changes in certificate trust and implementing automated reasoning in AWS environments. Our professional services can help organizations transition from Entrust-issued certificates to alternative providers with minimal impact on operations. Additionally, our expertise in AWS automated reasoning can aid in optimizing system performance and maintainability. With tailored solutions and dedicated support, KeyCore ensures that clients leverage the full potential of AWS services securely and efficiently. Visit KeyCore’s website to learn more about how we can assist with AWS security, identity, and compliance needs.

Read the full blog posts from AWS

Innovating in the Public Sector

DoSomething’s Journey with AWS for Efficiency and Scalability

DoSomething, a prominent nonprofit organization focused on youth-centered impact and service, embarked on a significant transformation journey with Amazon Web Services (AWS) to build a new platform from scratch. By prioritizing simplification and scalability, AWS emerged as the ideal solution due to its robust support for nonprofits and an extensive suite of services. This strategic move allows DoSomething to enhance operational efficiency and scale their offerings to reach a broader audience, ultimately maximizing their societal impact.

Digitizing Patient Experience with AWS at University Hospitals Coventry and Warwickshire NHS Trust

University Hospitals Coventry and Warwickshire NHS Trust, managing two major hospitals for over a million people, undertook a digital transformation to modernize patient engagement. They collaborated with IBM Consulting to pilot an innovative project leveraging AWS to digitize patient interaction channels. The initiative aims to replace legacy systems reliant on manual processes and phone calls, enhancing the efficiency of patient communication and overall experience. This modernization effort aligns with the broader healthcare sector’s movement towards digital solutions for improved patient outcomes.

EDUCAUSE 2024: AWS Partners Shaping the Future of Higher Education

The EDUCAUSE 2024 conference will showcase how AWS Partners are revolutionizing higher education through cutting-edge technologies like generative artificial intelligence (AI), machine learning (ML), and cloud computing. These technologies are transforming campus education and research, enabling data-driven decision-making, and enhancing learning tools. Institutions are leveraging these innovations to create more efficient, personalized, and data-informed educational environments, setting a precedent for future advancements in the sector.

Transforming Government: Overcoming Legacy Exit Challenges

Governments worldwide are challenged by the need to maintain legacy technology systems, which pose security and operational continuity risks. AWS public sector specialists compiled insights from government and private sector leaders to address these challenges. The post discusses four strategic approaches for governments to consider: streamlining operations, enhancing security, ensuring continuity, and leveraging modern technologies to transition smoothly from legacy systems. These strategies aim to create more resilient and efficient governmental IT infrastructures.

AWS Defense Industry Partner Forum: Collaborating for Strategic Advantage

In August 2024, AWS hosted the inaugural Defense Industry Partner Forum at their HQ2 in Arlington, Virginia. The event brought together over 65 Defense Industrial Base (DIB) companies, which play a critical role in supporting the U.S. Department of Defense. The forum highlighted AWS’s collaboration with DIB partners to provide global infrastructure and advanced technology to maintain a strategic edge. This collaboration emphasizes the importance of innovation and partnership in defense technology to address contemporary security challenges.

The Institut Pasteur’s Ambitious Project with AWS: IndexThePlanet

The Institut Pasteur in Paris is undertaking an ambitious project, IndexThePlanet, using AWS to create a comprehensive, searchable DNA database of all life on Earth. The initiative aims to unlock critical information trapped within the planet’s diverse DNA, aiding in the identification of unknown virus species and potentially preventing future pandemics. This project underscores the role of AWS in supporting scientific research and innovation, providing the computational power and storage needed for such a groundbreaking endeavor.

How KeyCore Can Assist

KeyCore offers expert guidance and support in leveraging AWS technologies for transformative projects. Whether it’s building scalable platforms like DoSomething, modernizing healthcare processes as seen with UHCW NHS Trust, or aiding educational institutions in adopting advanced technologies, KeyCore provides tailored solutions. Our expertise extends to government agencies seeking to exit legacy systems and organizations like the Institut Pasteur embarking on pioneering research projects. With KeyCore’s professional and managed services, any organization can harness the full potential of AWS to drive innovation and efficiency.

Read the full blog posts from AWS

The Internet of Things on AWS – Official Blog

End-of-Life Announcement for AWS IoT Device Management Fleet Hub

AWS has announced the end-of-life for AWS IoT Device Management Fleet Hub, effective October 18th, 2025. Launched in 2020, Fleet Hub provided a web-based application facilitating the management of IoT device fleets. This tool has been instrumental in helping businesses streamline operations, enhance efficiency, and boost the security of their IoT devices.

Evolution of IoT Management Tools

Over the years, technological advancements and changing customer needs have necessitated updates and changes to IoT management tools. Fleet Hub was a response to an earlier generation of IoT management challenges, providing a centralized platform for control and oversight. Despite its success, AWS recognizes the importance of adapting to the evolving landscape and aligning with more modern solutions that cater to advanced requirements.

Impact and Next Steps

The end-of-life announcement encourages current users of Fleet Hub to transition to other AWS IoT solutions or to explore new methods for managing IoT device fleets. This transition phase is crucial to ensure continued operational efficiency and security for IoT deployments. AWS will likely support users in migrating to alternative services that leverage the latest in IoT technology.

How KeyCore Can Help

KeyCore stands ready to assist businesses in navigating this transition. As a leading AWS consultancy, KeyCore offers expertise in IoT solutions and can guide organizations in finding the right alternatives to Fleet Hub. With a deep understanding of AWS services, KeyCore can help develop customized strategies to enhance IoT fleet management, ensuring minimal disruption and sustainable growth in IoT capabilities. Furthermore, KeyCore’s managed services can support continuous IoT device management, maximizing business value and operational efficiency.

Read the full blog posts from AWS

AWS Open Source Blog

Finch, a popular tool for container development, has now extended its capabilities to Linux. This expansion ensures that developers can enjoy a consistent experience across all major operating systems, including macOS, Windows, and now Linux. With Finch on Linux, developers can streamline their workflows, using familiar Finch commands to build, test, and publish containers with ease.

Consistent Experience Across Platforms

The inclusion of Linux in Finch’s support scope means that developers working on different operating systems can now collaborate more efficiently. Finch’s ability to provide a uniform development environment reduces the friction often encountered when switching between systems. Developers can now leverage the same set of commands and tools, ensuring that their containerized applications behave consistently regardless of the underlying platform.

Efficient Container Workflows

By adopting Finch for their container development needs, developers benefit from a streamlined workflow. Finch simplifies the process of building, running, and publishing containers. This uniformity not only speeds up the development process but also minimizes the risk of errors when transitioning containers between different environments. The tool’s capability to handle the entire lifecycle of containerized applications makes it an invaluable asset for developers looking to optimize their productivity.

How KeyCore Can Assist

KeyCore is at the forefront of AWS consultancy, offering expert guidance on integrating tools like Finch into your development pipeline. Our team can help you implement Finch seamlessly across your Linux environments, ensuring that your container development processes are efficient and effective. Whether you require professional services to architect your container solutions or managed services to maintain them, KeyCore is equipped to support your needs. By leveraging our expertise, you can enhance your development capabilities and achieve greater consistency and performance in your container deployments.

“`

Read the full blog posts from AWS

Scroll to Top