Summary of AWS blogs for the week of monday Mon Mar 31
In the week of Mon Mar 31 2025 AWS published 79 blog posts – here is an overview of what happened.
Topics Covered
- AWS DevOps & Developer Productivity Blog
- AWS for SAP
- Official Machine Learning Blog of AWS
- Announcements, Updates, and Launches
- Containers
- Helping non-technical small and medium businesses (SMBs) migrate to the cloud
- Official Database Blog of AWS
- AWS Training and Certification Blog
- Official Big Data Blog of AWS
- AWS Compute Blog
- AWS for M&E Blog
- AWS Storage Blog
- AWS Developer Tools Blog
- AWS Architecture Blog
- AWS Partner Network (APN) Blog
- AWS Cloud Enterprise Strategy Blog
- AWS HPC Blog
- AWS Cloud Operations Blog
- AWS for Industries
- AWS Messaging & Targeting Blog
- AWS Marketplace
- The latest AWS security, identity, and compliance launches, announcements, and how-to posts.
- Front-End Web & Mobile
- AWS Contact Center
- Innovating in the Public Sector
- AWS Open Source Blog
AWS DevOps & Developer Productivity Blog
Amazon’s journey with generative AI marks a significant shift in software engineering. At re:Invent 2024, Amazon introduced Amazon Q Developer, an innovative AI tool reshaping developer workflows. Unlike previous technological advances that merely enhanced capabilities, generative AI modifies the development process itself. Amazon Q is transformative by altering how developers at Amazon conceptualize and implement software, enabling more efficient and creative approaches to problem-solving. By integrating AI into their development workflow, Amazon developers can leverage AI-driven insights and automation to enhance productivity and innovation.
Generative AI tools, like Amazon Q Developer, revolutionize the software development lifecycle by automating tedious tasks and providing intelligent recommendations. This transformation allows developers to focus on higher-value tasks, fostering creativity and innovation while maintaining high standards of code quality. The integration of AI into development processes at Amazon exemplifies the potential of AI-driven future development environments.
Enforcing Compliance with CloudFormation Lambda Hooks
Developers can maintain compliance and enforce custom policies through AWS CloudFormation Lambda Hooks during provisioning. This approach ensures that Lambda function configurations adhere to specified guidelines before deployment. By setting compliance rules, developers can restrict language versions and runtimes, aligning with organizational standards and best practices.
This pre-deployment validation is crucial for upholding security and operational integrity, allowing developers to identify configuration issues early in the development lifecycle. Using CloudFormation Lambda Hooks, teams can achieve a higher level of assurance that their applications meet required specifications, which is vital for robust and secure software systems.
Customizing Amazon Q Developer for C# and C++
Amazon Q Developer’s recent updates enable developers to tailor AI suggestions for C# and C++ projects, aligning them with specific organizational codebases. This customization provides accurate, context-sensitive code recommendations, enhancing productivity and streamlining the development process.
By integrating customized AI support, developers receive assistance that resonates with their unique project requirements and coding standards. This personalized approach boosts developer efficiency and ensures that AI-generated suggestions are relevant and immediately applicable, which is crucial for maintaining development speed and quality in complex enterprise environments.
Enterprise Adoption of Amazon Q Developer
The rise of generative AI tools like Amazon Q Developer is transforming developer productivity across enterprises. These tools are pivotal in addressing the longstanding challenge of enhancing developer efficiency. By supporting various stages of the software development lifecycle, Amazon Q Developer acts as a catalyst for innovation, allowing teams to embrace AI-driven methodologies.
For enterprises, adopting Amazon Q Developer entails a strategic shift towards AI-integrated workflows, fostering a culture of continuous improvement and technological advancement. It empowers organizations to harness AI’s potential, optimizing resource utilization and streamlining development processes to deliver high-quality software solutions efficiently.
How KeyCore Can Help
KeyCore, as the leading AWS consultancy in Denmark, is well-equipped to assist organizations in integrating these advanced AWS tools and AI-driven methodologies into their workflows. By leveraging KeyCore’s expertise, enterprises can effectively adopt Amazon Q Developer and AWS CloudFormation Lambda Hooks, ensuring compliance and productivity enhancements. KeyCore’s professional and managed services provide tailored support to maximize the business value of AWS technologies, enabling organizations to unlock the full potential of AI-driven software development.
Read the full blog posts from AWS
- How generative AI is transforming developer workflows at Amazon
- Validate Your Lambda Runtime with CloudFormation Lambda Hooks
- Customizing C# and C++ with Amazon Q Developer
- Adopting Amazon Q Developer in Enterprise Environments
AWS for SAP
Enhance Resiliency and Data Protection for SAP HANA on AWS
SAP HANA databases are frequently deployed in High Availability (HA) configurations when operating on AWS. These configurations are essential for maintaining continuous operations. However, while HA setups provide robust operational continuity, they also require comprehensive backup strategies. This is where Amazon Backup for SAP HANA comes into play, enhancing both resiliency and data protection.
Data Protection and Recovery
Despite the inherent advantages of SAP HA deployments, SAP HANA databases remain susceptible to certain risks, such as cluster-wide failures. To effectively mitigate these risks, it’s crucial to implement a solid backup strategy alongside HA configurations. Amazon Backup provides an integrated solution that supports complete system recovery, ensuring that organizations can protect their data and minimize downtime.
The use of Amazon Backup allows businesses to automate backup processes, ensuring that their SAP HANA deployments are resilient against data loss and can be restored efficiently in the event of a failure. This service integrates with AWS’s suite of tools, simplifying the management of backup and recovery operations.
Streamline SAP Infrastructure with Terraform
SAP systems are vital for business operations, and adhering to SAP best practices is crucial when planning their deployment and management on AWS. Many organizations are opting for RISE on AWS, but there is still a significant number running SAP natively on the platform. As business needs evolve, the ability to quickly provision and adapt the necessary infrastructure becomes essential.
Terraform provides a robust solution for managing SAP infrastructure on AWS. It allows teams to define infrastructure as code, enabling quick iterations and adaptations to changing workload requirements. This simplifies the process of deploying and scaling SAP systems, ensuring that they meet organizational demands efficiently.
KeyCore’s Expertise in AWS for SAP
KeyCore offers expert guidance and support for businesses looking to enhance their SAP deployments on AWS. Whether it’s leveraging Amazon Backup for SAP HANA to bolster data protection strategies or utilizing Terraform to streamline infrastructure management, KeyCore provides the necessary expertise to optimize SAP operations. By partnering with KeyCore, organizations can ensure that their SAP systems are resilient, scalable, and aligned with best practices, maximizing the return on their AWS investments.
Read the full blog posts from AWS
- Enhance resiliency and data protection for SAP HANA high-availability deployments with Amazon Backup for SAP HANA
- Terraform your SAP Infrastructure on AWS
Official Machine Learning Blog of Amazon Web Services
Optimizing Prompts for Best Price-Performance in Amazon Nova
Amazon Nova focuses on optimizing the performance and cost-effectiveness of AI prompts. By fine-tuning prompt parameters, users can achieve superior AI task execution without incurring unnecessary expenses. This post delves into various strategies for enhancing prompt efficiency, ultimately balancing operational costs with high-quality results.
Amazon Bedrock Evaluations: Now Generally Available
Amazon Bedrock Evaluations has introduced evaluations for models and RAG (retrieval-augmented generation) systems, now generally available. The tool is environment-agnostic, allowing for versatile benchmarking between different AI deployments. Users can make data-driven decisions through enhanced comparison capabilities.
Fine-Tuning Large Language Models with Reinforcement Learning
This post introduces a novel method for fine-tuning large language models (LLMs) using reinforcement learning from human or AI feedback. It compares RLHF, RLAIF, and DPO, and presents a scalable approach using RLAIF. Users can implement an end-to-end RLAIF pipeline using Amazon SageMaker and the Hugging Face Transformer library, optimizing language model tuning efforts.
Streamlining Loan Approvals with Amazon SageMaker AI at Lumi
Lumi leverages Amazon SageMaker AI to enhance loan approval processes. By utilizing real-time data and machine learning, Lumi can provide tailored loan solutions, improve credit decisions, and accelerate application processing. This approach facilitates business growth and improves customer experience in accessing capital efficiently.
Generative AI in AWS Sales: Streamlining Account Planning
AWS Sales utilizes generative AI to draft strategic planning documents that align with customer growth strategies. This process enables collaboration and long-term planning, showcasing how generative AI can optimize internal business operations and customer alignment efforts.
OMRON’s Data-Driven Transformation with AWS
OMRON Corporation’s SF2030 strategic plan aims to address social issues and drive digital transformation. The OMRON Data & Analytics Platform (ODAP) is central to this mission, leveraging AWS to harness data assets and integrate generative AI into their operations, enhancing business models and capabilities.
AI Workforce: AI and Drones for Infrastructure Inspections
AI Workforce introduces an AI-powered drone inspection system for infrastructure, reducing human error and enhancing safety. This three-part series details how AI and drones streamline inspections, with future posts exploring AWS architecture and drone integration.
Ray Jobs on Amazon SageMaker HyperPod
Ray is an open-source framework designed to optimize distributed Python job execution. This post outlines how to effectively run Ray jobs on SageMaker HyperPod, enabling scalable and resilient AI operations.
Multi-Step Task Execution with Amazon Bedrock and LLMs
Amazon Bedrock demonstrates the execution of complex analytical queries using large language models (LLMs). This post provides a use case where LLMs enhance data processing tasks, improving efficiency and task accuracy through sophisticated API integration.
Introducing AWS MCP Servers for Code Assistants
AWS MCP Servers deliver AWS best practices to the development workflow, optimizing code creation and maintenance. This first installment of a series details how MCP servers enhance development efficiency while maintaining robust security and cost management.
Amazon Bedrock Agents and MCP Integration
Amazon Bedrock Agents utilize MCP to access tools for building generative AI applications. This post discusses creating agents that leverage MCP for data access, simplifying the development of powerful, generative AI systems.
Generating Compliant Content with Constitutional AI
Using Amazon Bedrock, this post explores strategies for generating regulatory-compliant content in industries such as finance and healthcare. It demonstrates how Constitutional AI and LangGraph streamline content creation processes in compliance-focused environments.
Minimizing Generative AI Hallucinations with Automated Reasoning
Amazon Bedrock introduces Automated Reasoning checks to prevent generative AI hallucinations, improving the factual accuracy of LLM responses. The post discusses how these checks enhance trust in AI-generated outputs.
AWS App Studio: Prebuilt Solutions and Cross-Instance Features
App Studio’s recent features include a prebuilt solutions catalog and cross-instance Import and Export, accelerating application development. This post guides users on leveraging these tools for efficient and rapid application deployment.
Building Agentic Systems with CrewAI and Amazon Bedrock
CrewAI’s framework, integrated with Amazon Bedrock, enables the creation of multi-agent systems tailored to complex tasks. This post provides implementation insights on deploying AI agents for optimized business operations.
How KeyCore Can Assist
KeyCore offers comprehensive AWS consultancy services, equipping businesses with the tools and expertise needed to adopt and optimize these AWS technologies. Our team can assist in implementing, scaling, and managing these solutions, ensuring alignment with business objectives and maximizing the return on AWS investments. Whether optimizing AI models, enhancing operational processes, or building advanced agentic systems, KeyCore provides essential support and tailored strategies for success.
Read the full blog posts from AWS
- Prompting for the best price-performance
- Evaluate models or RAG systems using Amazon Bedrock Evaluations – Now generally available
- Fine-tune large language models with reinforcement learning from human or AI feedback
- How Lumi streamlines loan approvals with Amazon SageMaker AI
- How AWS Sales uses generative AI to streamline account planning
- Shaping the future: OMRON’s data-driven journey with AWS
- AI Workforce: using AI and Drones to simplify infrastructure inspections
- Ray jobs on Amazon SageMaker HyperPod: scalable and resilient distributed AI
- Using Large Language Models on Amazon Bedrock for multi-step task execution
- Introducing AWS MCP Servers for code assistants (Part 1)
- Harness the power of MCP servers with Amazon Bedrock Agents
- Generate compliant content with Amazon Bedrock and ConstitutionalChain
- Minimize generative AI hallucinations with Amazon Bedrock Automated Reasoning checks
- AWS App Studio introduces a prebuilt solutions catalog and cross-instance Import and Export
- Build agentic systems with CrewAI and Amazon Bedrock
Announcements, Updates, and Launches
Meet the AWS News Blog Team
The AWS News Blog team comprises a diverse group of writers with extensive backgrounds and expertise in various AWS technologies. Each team member brings a unique perspective and deep understanding of the AWS ecosystem, contributing to the rich, informative content that the AWS community relies on. Their collective experience spans cloud computing, software development, and enterprise IT, ensuring a comprehensive coverage of AWS updates and insights.
Accelerate Operational Analytics with Amazon Q Developer in Amazon OpenSearch Service
Amazon Q Developer now supports Amazon OpenSearch Service, offering AI-assisted capabilities that streamline the process of investigating and visualizing operational data. This enhancement simplifies the complexity associated with query languages, visualization tools, and alerting features, significantly reducing the learning curve for users. With these new capabilities, users can enhance their existing dashboards and visualizations, empowering them to make data-driven decisions more efficiently. This integration represents a strategic move to improve the end-user experience and provide advanced analytics tools to a broader audience.
Amazon API Gateway Now Supports Dual-Stack (IPv4 and IPv6) Endpoints
Amazon API Gateway has expanded its capabilities by offering IPv6 support across all endpoint types, custom domains, and management APIs. This update is available in all commercial and AWS GovCloud regions, enabling customers to configure dual-stack endpoints to address the growing scarcity of IPv4 addresses. By adopting IPv6, organizations can future-proof their infrastructure, ensuring they remain scalable and adaptable to evolving internet standards.
AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and More
The latest AWS Weekly Roundup highlights the start of the AWS Summit season, with events taking place worldwide. These summits provide an invaluable platform for the cloud computing community to connect, collaborate, and expand their AWS knowledge. Attendees can participate either online or in-person, gaining insights into the latest AWS innovations and networking with industry peers. The events underscore AWS’s commitment to fostering a vibrant, informed community that can harness the full potential of cloud technologies.
How KeyCore Can Assist
KeyCore, as the leading AWS consultancy in Denmark, is well-positioned to assist organizations in leveraging these announcements for their business advantage. Our expertise in AWS services, such as Amazon OpenSearch Service and Amazon API Gateway, enables us to provide tailored solutions that enhance operational analytics and infrastructure scalability. Whether it’s integrating AI-assisted analytics or transitioning to dual-stack architectures, KeyCore offers the professional guidance and managed services necessary to navigate AWS’s evolving landscape successfully.
Read the full blog posts from AWS
- Meet the AWS News Blog team!
- Accelerate operational analytics with Amazon Q Developer in Amazon OpenSearch Service
- Amazon API Gateway now supports dual-stack (IPv4 and IPv6) endpoints
- AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025)
Containers
In the realm of cloud container management and services, AWS has been recognized as a leader in the 2024-25 Omdia Universe report. This acknowledgment underscores AWS’s pivotal role in the evolving tech landscape where containers serve as the backbone of modern application deployment. As organizations increasingly lean towards microservices architectures, the need for scalable, robust, and secure container management solutions continues to grow. AWS stands out for its comprehensive offerings that address these demands effectively, delivering both efficiency and peace of mind to its users. The recognition as a leader accentuates AWS’s commitment to innovation and excellence in cloud container solutions, highlighting its ability to meet the complex needs of businesses worldwide.
Amazon Elastic Kubernetes Service (Amazon EKS) has introduced a new feature called Auto Mode, enhancing the EKS experience by providing a production-ready environment. Launched at re:Invent 2024, EKS Auto Mode simplifies the management of Kubernetes clusters, allowing users to focus on deploying applications without the usual operational overhead. This feature, developed by a team including Alex Kestner, Todd Neal, Neelendra Bhandari, and Sai Vennam, optimizes resource utilization and reduces costs by automatically scaling clusters based on real-time workload demands. EKS Auto Mode is designed to support businesses in achieving greater agility and efficiency, enabling them to respond swiftly to changes in application demands without manual intervention.
The Amazon EKS ecosystem continues to evolve with the announcement of the Amazon EKS community Add-ons catalog. This initiative, jointly authored by Elizabeth Fuentes, Ikenna Izugbokwe, and Steven David, aims to streamline the operational capabilities necessary for running Kubernetes applications. While Amazon EKS already provides several add-ons, the community Add-ons catalog expands this offering by incorporating a wide range of Kubernetes add-ons sourced from various community contributors. This expansion empowers customers by enhancing the versatility and functionality of their containerized applications, ensuring they have access to the tools necessary to optimize their operations.
KeyCore, as Denmark’s leading AWS consultancy, offers unparalleled expertise in implementing and managing AWS container services. With a deep understanding of AWS’s container solutions, KeyCore is well-positioned to assist businesses in leveraging these advanced features, such as EKS Auto Mode and the community Add-ons catalog, to enhance their cloud infrastructure. Our professional and managed services are tailored to meet the unique needs of each client, ensuring they maximize the potential of AWS’s powerful container management tools.
Read the full blog posts from AWS
- AWS recognized as Leader in 2024-25 Omdia Universe for Cloud Container Management & Services
- Under the hood: Amazon EKS Auto Mode
- Announcing Amazon EKS community Add-ons catalog
Helping non-technical small and medium businesses (SMBs) migrate to the cloud
Small and medium businesses (SMBs) often face the challenge of competing with larger enterprises. However, leveraging technology agility can give them a substantial edge. By adopting AWS solutions, SMBs can accelerate their digital transformation, enhancing their operations and customer experiences.
Understanding Tech Agility
Tech agility refers to the ability to swiftly adapt and pivot in response to changing market conditions and technological advancements. For SMBs, this means having the flexibility to implement new solutions rapidly, allowing them to compete more effectively with larger companies.
Leveraging AWS Solutions
Amazon Web Services (AWS) offers an array of tools designed to boost flexibility and scalability. These services enable SMBs to deploy applications more efficiently, scale their resources on demand, and reduce costs by paying only for what they use. Services like AWS Elastic Beanstalk and AWS Lambda simplify application deployment and management, empowering businesses to innovate without heavy infrastructure investment.
Real-World Examples
Numerous SMBs have successfully undergone digital transformation by adopting AWS technologies. For instance, a retail startup might leverage AWS services to create a robust online shopping platform, providing personalized customer experiences and managing inventory efficiently. Similarly, a logistics company could implement AWS IoT solutions to optimize its supply chain operations, reducing delays and improving service delivery.
Practical Steps for Implementation
To begin, SMBs should assess their current technology landscape and identify areas where AWS can provide the most significant impact. Engaging with AWS consulting partners, like KeyCore, can streamline this process, offering expertise in tailoring AWS solutions to specific business needs. Additionally, businesses should prioritize training their workforce to ensure successful adoption and utilization of new technologies.
How KeyCore Can Help
KeyCore, Denmark’s leading AWS consultancy, offers both professional and managed services to assist SMBs in their cloud journey. By providing strategic guidance, implementation support, and ongoing management, KeyCore ensures that businesses can fully leverage AWS’s capabilities. Whether it’s deploying new applications, optimizing existing systems, or scaling operations seamlessly, KeyCore provides tailored solutions to meet the unique needs of SMBs, driving their competitive advantage in an increasingly digital world.
Read the full blog posts from AWS
Official Database Blog of Amazon Web Services
Amazon’s database blog offers a variety of insights into optimizing and managing databases using AWS services. Below are summaries of recent topics covered, each offering valuable approaches for modern database management and performance optimization.
Working with OEM Agent Software for Amazon RDS for Oracle
Amazon RDS for Oracle now supports the OEM Management Agent version 13.5.0.0.v2, which requires at least Oracle Management Server (OMS) version 13.5.0.23. This update brings improved monitoring and management capabilities for Oracle database instances. Users should explore critical scenarios that affect OEM Agents in their RDS environments. Understanding these considerations is crucial to ensure seamless integration and optimal performance while working with OEM Agents.
Building Low-Latency, Resilient Applications with Amazon MemoryDB Multi-Region
The release of Amazon MemoryDB Multi-Region allows developers to build high-availability applications with minimal latency. This service supports active-active configurations across multiple Regions, ensuring up to 99.999% availability. MemoryDB’s disaster recovery features offer robust consistency and conflict resolution mechanisms. It also provides tools for monitoring replication lag, enabling better control and observability across Regions. This solution is ideal for applications requiring efficient data access across global infrastructures.
Improving PostgreSQL Performance Using the pgstattuple Extension
The pgstattuple extension provides in-depth insights into table statistics for PostgreSQL databases, enhancing performance diagnosis. This post discusses how to leverage pgstattuple in Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL. Best practices include using this extension for analyzing data distribution and diagnosing performance issues, making it easier to optimize database operations and enhance query efficiency.
Using StatsD for Monitoring Oracle Databases on Amazon RDS or EC2
Effective database monitoring is vital for maintaining data integrity and avoiding downtime. By setting up monitoring using StatsD, organizations can create custom dashboards and alerts for Oracle databases. This monitoring setup helps in tracking historical metrics and identifying abnormal behavior, ultimately improving database availability and reliability by enabling proactive issue resolution.
Optimizing Cost Savings with Amazon Aurora
Amazon Aurora presents significant cost-saving advantages over self-managed open source databases. Aurora’s inherent features and architectural designs are optimized for cost-efficiency. Use cases illustrate the cost benefits and operational efficiencies when deploying Aurora compared to traditional self-managed configurations. Organizations can achieve reduced costs and increased performance by leveraging Aurora’s managed services, which streamline database operations.
KeyCore, as a leading AWS consultancy, can assist organizations in implementing these strategies and optimizing their database environments. Our expertise spans across all areas of AWS database services, ensuring clients achieve the best performance and cost-efficiency for their database management needs.
Read the full blog posts from AWS
- Working with OEM Agent software for Amazon RDS for Oracle
- Build low-latency, resilient applications with Amazon MemoryDB Multi-Region
- Improve PostgreSQL performance using the pgstattuple extension
- Using StatsD for monitoring Oracle databases running on Amazon RDS or Amazon EC2
- Optimizing cost savings: The advantage of Amazon Aurora over self-managed open source databases
AWS Training and Certification Blog
Transforming IT Careers with AWS: From Data Center to Cloud Architect
Three former data center technicians share their journey to becoming AWS Solutions Architects, providing a comprehensive roadmap for IT professionals eager to evolve their careers. These individuals transitioned by learning critical compute concepts and engaging with AWS services firsthand. The blog emphasizes the importance of acquiring practical, hands-on experience in cloud computing. This transformation journey serves as both inspiration and a guide, offering insights and resources for IT professionals ready to enhance their cloud computing skills.
Journey from Cloud Novice to Game Development Success
JC Boissy’s story exemplifies the impact of structured cloud training and practical experience. Transitioning from a cloud novice to an award-winning game developer, Boissy credits the AWS Cloud Institute for his success. He developed CloudJack-21, a serverless card game that gained recognition in the 2024 AWS Game Builder Challenge. His transformation highlights the efficacy of cloud skills training programs in nurturing talent capable of leveraging AWS technologies to innovate and excel in the competitive field of game development.
Empowering Women in Tech: AWS re/Start and Momentum Collaboration
AWS re/Start and Momentum are paving the way for women in technology through their collaborative workforce development initiative. This program is designed to create opportunities for women to enter the tech industry as AWS Certified Cloud Practitioners. By engaging with newly certified practitioners, organizations can help build an inclusive tech future while simultaneously fortifying their technical teams. This initiative underlines the commitment to fostering diversity and inclusion within the tech sector, ensuring that more women can access and thrive in technology careers.
How KeyCore Can Assist
At KeyCore, the leading AWS consultancy in Denmark, we specialize in guiding organizations and individuals through transformative cloud journeys. Whether transitioning from traditional IT roles or venturing into game development, our expertise in AWS ensures that our clients achieve their career and business objectives. We support initiatives that drive diversity and inclusion in tech, aligning with AWS re/Start and Momentum’s goals. Learn more about how KeyCore can assist in leveraging AWS technologies for personal and organizational growth at our website.
Read the full blog posts from AWS
- Beyond the server room: Transform your IT career with AWS
- From cloud novice to award-winning game developer: A journey with AWS Cloud Institute
- AWS re/Start and Momentum: Building pathways for women in tech
Official Big Data Blog of Amazon Web Services
Integrating TwelveLabs Embed API with OpenSearch Service
The blog post explains how to enhance multimodal search capabilities by integrating the TwelveLabs Embed API with Amazon OpenSearch Service. This integration allows users to generate rich, contextual embeddings from video content. By leveraging OpenSearch Service’s vector database capabilities, users can enable advanced search functionalities. This approach empowers organizations to revolutionize the way they handle video content, extracting more value and insights through enhanced search capabilities.
Benefits of Multimodal Search Solutions
By using the TwelveLabs Embed API with OpenSearch, organizations can process video content more effectively. This solution allows for the creation of a system that improves video content management and searching. The advanced search capabilities help in quickly retrieving relevant video segments, thereby increasing efficiency in content handling and information retrieval.
Improving Observability with OpenSearch and Grafana
The blog post describes how to correlate telemetry data using Amazon OpenSearch Service and Amazon Managed Grafana. This process involves using various observability signals to improve root cause analysis, which aids in reducing the Mean Time to Resolution (MTTR). The integration provides a scalable reference solution for proactive monitoring of enterprise applications, helping to avoid potential problems before they arise.
Enhanced Monitoring and Proactive Problem Avoidance
By correlating telemetry data with OpenSearch and Grafana, organizations can achieve more effective monitoring. This allows for early detection of issues, improving response times and minimizing disruptions. The solution’s scalability ensures that it can handle large-scale enterprise applications, providing robust and proactive monitoring capabilities.
How KeyCore Can Help
KeyCore can assist organizations in implementing these advanced AWS solutions. With expertise in AWS technologies, KeyCore can guide the integration of TwelveLabs Embed API with OpenSearch for improved multimodal search. Additionally, KeyCore’s proficiency in observability solutions can help deploy and configure OpenSearch and Managed Grafana for enhanced telemetry data correlation and monitoring. Leveraging KeyCore’s professional services ensures optimized implementation, allowing organizations to focus on extracting value and insights from their data.
Read the full blog posts from AWS
- Optimize multimodal search using the TwelveLabs Embed API and Amazon OpenSearch Service
- Correlate telemetry data with Amazon OpenSearch Service and Amazon Managed Grafana
AWS Compute Blog
AWS Outposts is a fully managed service that effectively extends AWS infrastructure, services, APIs, and tools directly to customer premises. The service is pivotal for businesses needing consistent hybrid experiences, cloud-like capabilities, and secure data management on-site. With the introduction of Outposts servers in 2022, AWS now offers a 1U or 2U rack-mountable host that businesses can deploy to harness AWS’s robust features and services while maintaining control over their local environment.
Integrating with AWS Direct Connect
One of the significant advantages of AWS Outposts is its ability to integrate seamlessly with AWS Direct Connect. Direct Connect provides a dedicated network connection from premises to AWS, enhancing network performance and security. This integration ensures stable, low-latency connections between on-premise equipment and AWS services, crucial for latency-sensitive applications or workloads that require substantial bandwidth.
Business and Operational Advantages
For businesses, deploying AWS Outposts offers numerous advantages. It enables consistent performance across on-premise and cloud environments, ensuring that applications can run reliably irrespective of location. The setup supports a broad array of AWS services locally, facilitating rapid deployment of applications and services that comply with data residency requirements or low-latency thresholds. Furthermore, integrating with AWS Direct Connect optimizes operational costs by reducing data transfer charges and improving connection reliability.
How KeyCore Can Assist
KeyCore, as a leading AWS consultancy in Denmark, empowers businesses by efficiently implementing AWS Outposts and AWS Direct Connect solutions. Our expert team provides tailored deployment strategies, ensuring seamless integration with existing infrastructure and maximizing the benefits of AWS’s hybrid cloud capabilities. Whether a company seeks to enhance data security, improve application performance, or streamline operational costs, KeyCore offers the expertise and support necessary to achieve these goals.
Read the full blog posts from AWS
AWS for M&E Blog
Streamlining Content Compliance with Amazon Nova
Media organizations are facing increasing pressure to streamline content compliance processes. Amazon Nova, in conjunction with Amazon Bedrock, offers a solution by automating media analysis. This automation helps reduce the time required for content reviews across various rating systems without sacrificing accuracy. The implementation of these technologies not only reduces operational costs but also transforms content compliance from a bottleneck into a competitive advantage. In the fast-moving world of streaming, every minute counts, and leveraging such automation can significantly enhance efficiency.
Nomalab’s Ad Break Detection with AWS
Nomalab, a prominent cloud-based media management platform, is revolutionizing media workflows by automating ad break detection. As the media and entertainment industry experiences rapid growth in content volume and complexity, broadcasters and publishers need innovative solutions to optimize their workflows from content ingestion to delivery. Nomalab’s integration with AWS facilitates this transformation, providing flexibility and efficiency to remain competitive in the dynamic media landscape. This partnership underscores the power of cloud-based solutions in managing complex media workflows.
Cloud-native Media Workflows at NAB 2025
During NAB 2025, AWS introduced new tools and guidance for cloud-native fast-turnaround media workflows under the Cloud-native Agile Production (CNAP) program. This initiative is a collaborative effort involving AWS, BBC, Sky, and AWS Partners, leveraging BBC Research & Development’s expertise. The CNAP program aims to streamline media production processes, enabling faster content turnaround times through cloud-native solutions. This advancement is pivotal for media enterprises seeking agility and scalability in content production.
AWS Multi-partner Live Cloud Production Workshop
Live cloud production (LCP) is gaining traction in the media industry. To facilitate easier deployment and scaling of LCP workloads, AWS is supporting a multi-partner workshop. This initiative focuses on providing insights into cloud infrastructure, application metrics, and media asset monitoring, offering operational familiarity akin to on-premises systems. By enhancing workflow observability, media partners can optimize their live production workflows, catering to the growing demand for real-time content delivery.
AWS Audio Innovation at NAB 2025
At NAB 2025, AWS will showcase its audio innovation capabilities through four integrated demonstrations. These will highlight AWS Cloud services and partner solutions for podcast and radio programming, content analysis, metadata creation, and live transcription. The demonstrations exemplify complete audio workflows and emphasize AWS’s commitment to advancing audio production technologies. This innovation provides media companies with the tools to enhance content creation and distribution, meeting evolving audience expectations.
Tubi and AWS: Breaking Super Bowl Streaming Records
Fox Corporation’s Tubi, an ad-supported streaming service, teamed up with AWS to simulcast Super Bowl LIX, smashing live stream records. Planning for the high-stakes broadcast of the NFL championship required robust infrastructure support to accommodate unprecedented viewership. By leveraging AWS technologies, Tubi ensured a seamless streaming experience, demonstrating the scalability and reliability of cloud solutions in handling large-scale live events. This partnership highlights how AWS’s infrastructure can support media companies in delivering high-quality live streaming content.
AWS Innovation at NAB 2025
The NAB 2025 event will feature AWS’s cutting-edge innovations in media and entertainment, emphasizing cloud and generative AI technologies. Attendees will experience immersive demos and gain insights into the future of the industry, including advancements in live cloud production. AWS’s presence at the event underscores its role as a leader in shaping media technology, offering tools that empower visionaries, technologists, and storytellers to push creative boundaries and enhance audience engagement.
How KeyCore Can Help
KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance and managed services for media and entertainment companies looking to leverage AWS technologies. Whether it’s automating content compliance with Amazon Nova or optimizing media workflows with Nomalab and other AWS solutions, KeyCore can support organizations in implementing cloud-native strategies. Our expertise ensures that clients maximize the value of AWS services to enhance operational efficiency, reduce costs, and drive innovation in their media productions. Visit KeyCore for more information on how we can assist your media and entertainment projects with AWS.
Read the full blog posts from AWS
- Streamlining content compliance: Automating media analysis with Amazon Nova
- Nomalab automates ad break detection in media workflows with AWS
- New guidance and tools: Cloud-native fast-turnaround media workflows on AWS
- New multi-partner live cloud production workshop supported by AWS
- AWS Audio Innovation showcase at NAB 2025
- Tubi smashes the Super Bowl live stream record by teaming up with AWS
- AWS showcases innovation in media and entertainment with cloud and generative AI at NAB 2025
AWS Storage Blog
In today’s digital landscape, safeguarding business-critical cloud resources against accidental loss and external threats like ransomware is a top priority for organizations. Amazon EBS (Elastic Block Store) Snapshots and EBS-backed AMIs (Amazon Machine Images) offer valuable solutions to these challenges. Implementing customized delete protection for these resources provides an additional layer of security that enhances an organization’s data protection strategy.
Enhanced Data Security
Organizations are increasingly using privacy-enhancing technologies and malware scanning to protect their data. However, the ability to prevent accidental deletion remains a critical component of a comprehensive data security posture. By customizing delete protection settings for Amazon EBS Snapshots and EBS-backed AMIs, businesses can effectively mitigate the risk of accidental data loss. This customization allows for tailored protection measures, ensuring that sensitive data is less vulnerable to unintentional deletions.
Cost Reduction with Customization
Beyond the security benefits, customized delete protection can also lead to cost reductions. In many scenarios, the accidental deletion of critical data can result in significant recovery expenses and downtime. By proactively using AWS tools to customize delete protection, businesses can avoid these potential costs. This approach not only safeguards data but also optimizes resource allocation and budget management, making it a financially prudent strategy.
How KeyCore Can Assist
KeyCore, as a leading Danish AWS consultancy, offers expert guidance on implementing customized delete protection for Amazon EBS Snapshots and EBS-backed AMIs. Our team provides both professional and managed services, ensuring your AWS infrastructure remains secure and cost-effective. KeyCore’s experienced consultants can set up tailored solutions to protect your critical data assets, leveraging their deep understanding of AWS services to enhance your organization’s data security framework. Learn more about how KeyCore can support your AWS journey by visiting our website.
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AWS Developer Tools Blog
Today, AWS introduces the AWS IoT Device SDK for Swift in a developer preview. This SDK is a significant advancement for Swift developers, allowing them to create IoT applications across various platforms—Linux, Apple macOS, iOS, and tvOS—using the MQTT 5 protocol. The support for Swift 5.10+ ensures compatibility with the latest Swift features and improvements.
Empowering Swift Developers
The AWS IoT Device SDK for Swift is designed to streamline the development process for creating IoT applications. By offering native integration with the MQTT 5 protocol, the SDK not only enhances performance but also simplifies the communication between IoT devices and AWS IoT services. Developers can leverage this SDK to build robust applications that can efficiently handle IoT data streams and device interactions.
Cross-Platform Capabilities
This SDK enables developers to build applications that are compatible across a range of Apple platforms, including macOS, iOS, and tvOS, as well as Linux. This cross-platform capability is crucial for developers aiming to target multiple operating systems with a single codebase, thereby reducing development time and effort.
Getting Started with the SDK
Swift developers looking to explore the AWS IoT Device SDK can begin by accessing the developer preview documentation and sample projects provided by AWS. The SDK includes comprehensive resources that guide developers through the setup, integration, and deployment processes, ensuring a smooth onboarding experience.
How KeyCore Can Help
KeyCore, as the leading AWS consultancy in Denmark, can assist businesses in leveraging the AWS IoT Device SDK for Swift to build scalable IoT solutions. Our expertise in AWS IoT services and Swift development enables us to provide tailored solutions that meet specific business needs. Whether it’s optimizing application performance or ensuring seamless integration with AWS services, KeyCore is equipped to support Swift developers in harnessing the full potential of this new SDK.
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AWS Architecture Blog
Amazon Web Services (AWS) has launched the Well-Architected Data Residency with Hybrid Cloud Services Lens. This tool is designed to guide organizations in aligning their hybrid cloud workloads with the Well-Architected Framework, all while adhering to data sovereignty requirements.
Understanding Data Residency
Data residency refers to the physical or geographic location where data is stored and processed. For organizations, particularly those operating in multiple jurisdictions, adhering to data residency is crucial for compliance with local laws and regulations. It ensures that sensitive data remains within the confines of specific geographic boundaries, thus maintaining sovereignty over the data.
Features of the New Lens
The new lens provides a structured approach to evaluate and enhance hybrid cloud architectures. By following the best practices outlined in the lens whitepaper, organizations can achieve a balance between leveraging AWS cloud services and meeting data residency requirements. This framework enables businesses to optimize performance, manage risks, and ensure compliance efficiently.
Business Value
Adopting the Well-Architected Data Residency Lens offers significant business advantages. Organizations can build resilient, secure, and efficient architectures while adhering to compliance mandates. This not only mitigates risks associated with data breaches but also enhances the trust of clients and stakeholders, ultimately leading to competitive advantages in the market.
How KeyCore Can Assist
KeyCore, as Denmark’s leading AWS consultancy, can help organizations implement the Well-Architected Data Residency with Hybrid Cloud Services Lens effectively. By leveraging our expertise, businesses can ensure that their AWS solutions are not only robust and scalable but also compliant with regional data residency requirements. Our team provides comprehensive support, from initial assessment to full integration of AWS services, ensuring that your architecture is both efficient and compliant.
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AWS Partner Network (APN) Blog
Achieving CIS Compliance for Amazon EC2 Instances with GYTPOL
GYTPOL offers a robust solution for maintaining continuous CIS compliance for Amazon EC2 instances. Utilizing lightweight agents and AWS Security Hub integration, the platform provides real-time monitoring and flexible remediation options. This ensures security misconfigurations are promptly addressed across production servers, critical applications, and test environments. By adhering to security best practices, organizations can meet their compliance benchmarks without disrupting business operations.
Improving MongoDB Atlas Search Elasticity with Amazon S3
MongoDB has significantly enhanced the indexing capabilities of its Atlas Search service by incorporating Amazon S3. This integration allows for a substantial reduction in the time required to rebuild search indexes, achieving a 14x improvement. By capturing periodic snapshots of search indexes in Amazon S3, MongoDB can swiftly restore the latest index state during deployments, scaling, and recovery. This approach improves search availability, offering a seamless experience for customers.
208 New AWS Competency, Service Delivery, Service Ready, and MSP Partners
In March, 208 AWS Partners received new or renewed specializations in various AWS programs. These designations span workload, solution, and industry, aiding AWS customers in identifying partners who can deliver on core business objectives. AWS Partners are dedicated to customer success, maximizing the business benefits AWS provides.
Optimizing AWS Cost Intelligence and Security Compliance with Kalos by Stratus10
Stratus10’s Kalos platform addresses key cloud management challenges. This SaaS solution leverages AWS services and AI to optimize costs and enhance security compliance. Kalos provides actionable insights across multiple AWS accounts, assisting organizations in navigating cloud management complexities. With 84% of companies identifying cost management as a primary concern, Kalos offers crucial support in optimizing cloud expenditures.
Application Portfolio Rationalization with Generative AI by NorthBay Solutions
NorthBay Solutions harnesses Amazon Q Business to transform Application Portfolio Rationalization (APR) through generative AI. This revolutionary solution simplifies the evaluation and modernization of enterprise application portfolios. Organizations can make data-driven decisions regarding application refactoring, replatforming, or retiring, effectively reducing costs and errors in their cloud migration journey.
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In each section, the technical details of the solutions have been simplified to ensure clarity, while maintaining focus on the benefits they offer to businesses. This structure not only highlights the technological advancements but also underscores how KeyCore can leverage such solutions to provide unmatched AWS consultancy services.
Read the full blog posts from AWS
- Achieving CIS Compliance for Amazon EC2 Instances with GYTPOL
- Improving MongoDB Atlas Search Elasticity with Amazon S3
- Say Hello to 208 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in March
- How to Optimize AWS Cost Intelligence and Security Compliance with Kalos by Stratus10
- Application Portfolio Rationalization using Generative AI with NorthBay Solutions
AWS Cloud Enterprise Strategy Blog
Reinventing the Enterprise: Bridging the Gap
Enterprises face a widening gap between the rapid pace of technological advancements and slower organizational changes. By implementing key practices, organizations can bridge this gap effectively.
Simplification and Autonomy
Elevating operations through simplification and promoting autonomy within teams can significantly enhance organizational efficiency. This approach allows enterprises to streamline processes, reduce complexities, and empower teams to make quick decisions, fostering a more agile work environment.
Energizing Employees
Cultivating a culture of curiosity and continuous education energizes employees, leading to enhanced creativity and innovation. By encouraging lifelong learning and exploration within the organization, enterprises can unlock the full potential of their workforce.
Connecting Technology to Business Goals
Envisioning clear business goals aligned with technology initiatives ensures that technological advancements drive meaningful outcomes. This connection between technology and business strategies is crucial for achieving long-term success.
Establishing Autonomous Teams: A Leadership Guide
Traditional organizational models prioritize stability, often stifling innovation and agility. Implementing autonomous teams is a strategic solution to this challenge.
Autonomous Teams for Agility
Organizations can foster innovation by forming small, customer-facing teams led by empowered leaders. These autonomous teams balance control with the adaptability needed in rapidly changing markets, enabling enterprises to remain competitive.
Investment Capacity in IT: Unlocking Growth
Despite projections of global IT spending reaching $5.7 trillion by 2025, many companies struggle with a funding dilemma. A significant portion of budgets is allocated to maintaining existing systems, hindering innovation.
Strategies for Investment Capacity
Organizations can break free from this cycle by adopting zero-based budgeting, reinvesting innovation capacity, utilizing modern FinOps for cloud optimization, and rationalizing their IT portfolios. These strategies unlock resources for growth and innovation.
How KeyCore Can Help
KeyCore offers expert guidance and support in navigating these transformative strategies. As the leading AWS consultancy in Denmark, KeyCore assists organizations in implementing autonomous teams, optimizing IT investments, and aligning technology with business goals. By leveraging KeyCore’s expertise, enterprises can enhance their agility, foster innovation, and drive meaningful outcomes in the cloud ecosystem.
Read the full blog posts from AWS
- From Possibility to Practice: Reinventing the Enterprise from the Inside
- Breaking Through Bureaucracy: A Leader’s Guide to Establishing Your First Autonomous Team
- Money Matters: Four Methods to Unlock Investment Capacity in IT
AWS HPC Blog
Riskthinking.AI has developed the Climate Earth Digital Twin (CDT™) platform, a revolutionary tool designed to address the increasing risks brought on by climate change, particularly to power infrastructure. This platform utilizes the vast computational power of AWS High Performance Computing (HPC) services to model and assess various climate scenarios, enabling businesses in the energy sector to plan for resilience and safeguard their critical assets.
Leveraging AWS HPC for Climate Modeling
The CDT™ platform harnesses the computational capabilities of AWS HPC to simulate complex climate dynamics and their potential impact on energy infrastructure. These simulations require significant computing resources, which AWS provides through its scalable and efficient HPC solutions. By leveraging AWS, Riskthinking.AI can process large datasets and run extensive models to predict climate-related risks accurately.
Business Impact and Benefits
For the energy sector, understanding and preparing for climate risks is crucial. The CDT™ platform enables companies to identify vulnerabilities in their infrastructure and develop strategies to mitigate these risks. This proactive approach not only helps in protecting assets but also ensures compliance with environmental regulations and supports sustainable development goals.
How KeyCore Can Assist
KeyCore offers expertise in deploying and optimizing AWS HPC solutions tailored to specific business needs. Our team can assist in integrating the Climate Earth Digital Twin platform into existing infrastructures, ensuring seamless operation and maximizing the benefits of AWS’s powerful computing services. With KeyCore, organizations can enhance their resilience planning and adapt to the challenges posed by climate change effectively.
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AWS Cloud Operations Blog
Simplify AWS Cost Data Analysis with Amazon Q in QuickSight
Financial teams across various industries constantly seek agile solutions for rapid insights to manage costs effectively. AWS supports this need by enhancing its analytics tools with generative AI capabilities. Amazon Q in QuickSight is a key component of this solution, offering in-depth cost analysis with added granularity and dimensionality. This tool enables finance teams to explore and understand complex datasets effortlessly, facilitating more informed decision-making and cost management strategies.
Amazon Q leverages natural language queries, allowing users to interact with data intuitively. This makes it easier for stakeholders without a technical background to access comprehensive insights without needing to write complex queries. The integration of AI in these analytics tools helps streamline operations, offering real-time insights and predictions, which are crucial for effective cost management.
For businesses, the ability to dissect cost data at a granular level enables them to identify areas for cost optimization, forecast future expenses, and ensure that budget allocations align with organizational goals. By doing so, companies can enhance operational efficiency and maintain financial health.
Monitor AWS Transit Gateway Flow Logs with Amazon Managed Grafana
As organizations expand their cloud infrastructure by connecting multiple Amazon Virtual Private Clouds (Amazon VPC) across accounts and regions, managing network environments becomes increasingly complex. To address this, AWS Transit Gateway offers a centralized hub for secure communication between Amazon VPCs, on-premises systems, and other cloud environments.
Monitoring this complex infrastructure is made simpler with Amazon Managed Grafana. By integrating AWS Transit Gateway Flow Logs with Grafana, organizations can achieve centralized monitoring and visualization of network traffic. This setup provides a comprehensive view of the data flow, helping IT teams identify anomalies, optimize network performance, and ensure security compliance.
Amazon Managed Grafana offers powerful visualization tools that allow teams to create custom dashboards, providing real-time insights into network activities. This centralized monitoring approach not only simplifies network management but also reduces the overhead of managing multiple monitoring solutions across different platforms.
How KeyCore Can Help
At KeyCore, we are well-versed in AWS analytics and network management solutions. Our team can assist in implementing Amazon Q in QuickSight for advanced cost analysis, allowing your financial teams to gain actionable insights. Additionally, we can help set up and fine-tune Amazon Managed Grafana for effective monitoring of AWS Transit Gateway Flow Logs, ensuring your network operations are both secure and efficient. Whether you need professional or managed services, KeyCore is equipped to support your organization in optimizing its AWS environment.
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- Simplify AWS Cost Data Analysis with Amazon Q in QuickSight
- Monitor AWS Transit Gateway Flow Logs centrally using Amazon Managed Grafana
AWS for Industries
Transforming Stores Through Computer Vision
In the evolving retail landscape, physical stores still represent a significant 80 percent of total sales, despite the rise of e-commerce. This has intensified the need for optimization in-store operations. Retailers are now pressured to create smarter, more efficient store experiences while minimizing their technology footprint. Computer vision emerges as a key technology to address these challenges, enabling retailers to enhance customer engagements, streamline operations, and gather actionable insights.
Computer vision systems can analyze customer movements, optimize shelf stocking, and reduce theft, thereby enhancing overall store efficiency. By leveraging AWS services, retailers can deploy scalable and reliable computer vision solutions that integrate seamlessly with their existing infrastructure. Utilizing AWS AI and machine learning capabilities, retailers can transform their operations, resulting in improved customer satisfaction and increased sales.
KeyCore can assist businesses in implementing these advanced computer vision solutions, ensuring seamless integration and maximizing ROI. With expertise in AWS services, KeyCore can help streamline the deployment process, from initial assessment to ongoing support and optimization.
Scalable Metadata Discovery in Molecular Research
The healthcare and life sciences (HCLS) industry is experiencing a data explosion as organizations integrate molecular data into various research and diagnostic processes. This surge in data necessitates well-organized, cost-effective storage solutions that facilitate easy metadata discovery and integration into analytical systems. The challenge lies in managing vast datasets while maintaining accessibility and interoperability across platforms.
AWS provides a robust infrastructure to support scalable metadata discovery, enabling organizations to efficiently store and process molecular data. With AWS services such as Amazon S3 for storage and AWS Glue for data cataloging, HCLS organizations can streamline data management and accelerate research timelines. Adoption of these solutions allows for improved data analysis, enhancing drug discovery, clinical development, and population health analysis.
KeyCore offers comprehensive support for HCLS organizations seeking to implement AWS-based solutions for metadata discovery. With a deep understanding of AWS services and the specific needs of the healthcare sector, KeyCore can guide organizations through the deployment of tailored AWS solutions, ensuring efficient data management and accelerating research capabilities.
Read the full blog posts from AWS
- Transforming Stores Through Computer Vision: A Business Leader’s Guide
- Scalable Metadata Discovery Solution Accelerates Molecular Research
AWS Messaging & Targeting Blog
Automating Sender ID Configuration for SMS with AWS End User Messaging APIs
Global businesses aiming to maintain consistent branding through SMS messaging often face the challenge of configuring Sender IDs across various countries. This task can be particularly time-consuming due to the differing registration requirements from country to country. The AWS End User Messaging APIs offer a solution to simplify this process by automating Sender ID configuration.
Streamlining Global Sender ID Management
By leveraging the AWS End User Messaging v2 APIs, businesses can automate the setup of Sender IDs for countries without stringent registration prerequisites. This feature ensures that businesses can quickly establish a consistent messaging identity across their international markets. The automation of this process not only saves time but also reduces the risk of human error during configuration, enhancing the overall efficiency of messaging operations.
Technical Implementation
The automation process involves utilizing AWS Lambda functions and AWS Step Functions to orchestrate the configuration workflow. These AWS services allow the integration of logic required to check each country’s registration requirements and apply the appropriate Sender ID settings where applicable. This system ensures that businesses can easily manage their Sender IDs without manual intervention, ultimately freeing up resources and allowing focus on other critical business areas.
Business Value
For companies operating on a global scale, maintaining a consistent brand image is crucial. Automating the Sender ID configuration not only supports brand consistency but also improves customer trust and engagement by ensuring that messages are easily recognizable. Moreover, by streamlining this process, businesses can allocate their resources more effectively, focusing on strategic initiatives rather than administrative tasks.
KeyCore’s Expertise in AWS Messaging Solutions
KeyCore can assist businesses in implementing these automated solutions by leveraging their extensive expertise in AWS services. As Denmark’s leading AWS consultancy, KeyCore offers both professional and managed services to help businesses optimize their AWS architecture. KeyCore’s team can provide tailored solutions to automate messaging configurations and ensure seamless integration with existing systems, enabling businesses to achieve a competitive edge in their global communications strategy.
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AWS Marketplace
Deploying Amazon EKS Advanced Data Protection
Amazon Elastic Kubernetes Service (EKS) provides robust data protection capabilities when integrated with advanced storage solutions. By using the NetApp Trident AWS Marketplace EKS add-on alongside Amazon FSx for NetApp ONTAP, businesses can enhance their data protection strategy. The integration allows for dynamic storage provisioning and management of persistent volumes in Kubernetes clusters, which is essential for managing data-intensive applications safely and efficiently.
NetApp Trident serves as a dynamic storage orchestrator, enabling seamless management of storage backends. When paired with Amazon FSx for NetApp ONTAP, it provides capabilities for automated backup, disaster recovery, and seamless data replication. This ensures business continuity and reduces downtime risks. Deploying this combination through AWS Marketplace simplifies the procurement and deployment process, allowing organizations to quickly adopt and leverage these advanced data protection features.
Launching SaaS Products in AWS Marketplace
Publishing a Software as a Service (SaaS) product on AWS Marketplace involves a structured process. Initially, the product is launched in a limited state, which is a controlled environment where the product can be tested privately. This phase requires careful integration with AWS Marketplace APIs, ensuring the product is ready for broader distribution.
Once testing is successful, the next step is to publish the SaaS product to the public state. This involves meeting specific compliance and integration requirements outlined by AWS. The public launch opens the product to the entire AWS customer base, providing significant exposure and potential for increased sales. AWS Marketplace provides detailed guides and resources to assist developers in navigating these steps efficiently.
KeyCore’s Expertise in AWS Marketplace Deployments
KeyCore offers expert guidance and support for deploying solutions in AWS Marketplace. With extensive experience in AWS services, KeyCore can assist organizations in integrating advanced data protection solutions like NetApp Trident and Amazon FSx for NetApp ONTAP with Amazon EKS. The consultancy ensures seamless transitions and optimal configuration to meet business needs.
For SaaS companies looking to publish in AWS Marketplace, KeyCore provides comprehensive support throughout the launch process. From initial setup in the limited state to achieving public availability, KeyCore’s team ensures that all technical and compliance requirements are met. Partnering with KeyCore ensures a smooth onboarding experience and maximizes the potential of AWS Marketplace for business growth.
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- Deploy Amazon EKS advanced data protection using NetApp Trident AWS Marketplace EKS add-on and Amazon FSx for NetApp ONTAP
- How to launch a SaaS product in AWS Marketplace
The latest AWS security, identity, and compliance launches, announcements, and how-to posts.
Cloud Security Assurance Program (CSAP) Certification in AWS Seoul Region
Amazon Web Services (AWS) has successfully achieved the Cloud Security Assurance Program (CSAP) low-tier certification for the AWS Seoul (ICN) Region. This is a significant milestone as it marks the first time AWS has obtained this certification in the region. The certification, valid from March 28, 2025, to March 27, 2030, demonstrates AWS’s commitment to robust security practices and regulatory compliance. The CSAP certification reassures businesses in South Korea of AWS’s dedication to maintaining high security standards and provides them the confidence needed to deploy their workloads on AWS infrastructure.
The CSAP certification process involves rigorous evaluation to ensure compliance with security controls and practices. For businesses operating in South Korea, this certification facilitates compliance with local regulations, potentially reducing the need for additional security assessments. This is an important advantage for organizations looking to expand their cloud presence while adhering to national standards.
IAM Roles Anywhere: A Seamless Integration for External Workloads
AWS Identity and Access Management (IAM) has introduced IAM Roles Anywhere, a feature that allows users to leverage X.509 certificates from their Public Key Infrastructure (PKI) to request temporary AWS security credentials. This feature is particularly beneficial for applications, containers, or devices running outside of AWS infrastructure. It offers a streamlined method to access AWS resources and perform necessary tasks securely without being directly within the AWS environment.
IAM Roles Anywhere provides flexibility and security for enterprises with hybrid cloud architectures. By using trusted X.509 certificates, organizations can ensure that only authenticated workloads can access AWS services. This minimizes the risk of unauthorized access while simplifying the credential management process.
For businesses, this means that they can take advantage of AWS’s extensive cloud services without having to re-architect their external systems for compatibility. It enhances operational efficiency and ensures that security protocols are consistently maintained across all platforms and environments.
How KeyCore Can Assist
At KeyCore, our expertise in AWS’s security, identity, and compliance solutions enables us to guide businesses in leveraging these new AWS offerings effectively. Whether you are looking to understand how the CSAP certification affects your compliance strategy or need help integrating IAM Roles Anywhere with your existing infrastructure, our team is here to help. We offer both professional and managed services to ensure a seamless and secure cloud experience. Visit KeyCore.dk to learn more about how we can support your AWS journey.
Read the full blog posts from AWS
- AWS achieves Cloud Security Assurance Program (CSAP) low-tier certification in AWS Seoul Region
- Planning for your IAM Roles Anywhere deployment
Front-End Web & Mobile
Amazon Location Service has introduced new features aimed at enhancing the developer experience, making it easier to build geospatial applications. Geospatial applications are complex, requiring the ability to handle, design, and develop systems that manage vast amounts of geospatial data effectively. This process can be resource-intensive and demands a high level of expertise.
Improved Developer Tools
The recent enhancements focus on streamlining the development process for these complex applications. Developers can now leverage updated tools that simplify the integration and management of geospatial data. These tools are designed to reduce the labor-intensive aspects of geospatial application development, allowing for quicker deployment times and improved efficiency.
Enhanced Features
The new features include improved data handling capabilities and integrations that allow developers to use geospatial data more effectively within their applications. This includes better support for data collection, management, and system design, enabling applications to deliver more accurate and reliable geospatial information.
Business Value
For businesses, these enhancements mean reduced costs and time investments in application development. By simplifying the process, companies can bring geospatial applications to market faster, providing them with a competitive edge. The improved developer tools help in focusing more on innovation and less on operational challenges.
How KeyCore Can Help
KeyCore can assist businesses in leveraging these new capabilities of the Amazon Location Service. With our expert understanding of AWS and geospatial application development, we can guide clients through the process of integrating and using these enhanced features effectively. Our team can help optimize the use of geospatial data, ensuring that applications are not only efficient but also reliable and scalable.
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AWS Contact Center
Amazon Q in Connect is a powerful tool designed to enhance the capabilities of contact center agents by leveraging advanced AI technology. This generative AI assistant, available through Amazon Connect, delivers significant benefits by streamlining workflows and improving both agent and customer experiences.
Enhancing Agent Experience
The Amazon Q in Connect tool is specifically crafted to support agents in their daily tasks. By providing instant access to information and suggested responses, it reduces the cognitive load on agents, allowing them to focus on more complex customer issues. This not only makes the agents’ jobs easier but also increases their efficiency, leading to a more satisfied workforce.
Improving Customer Experience
With better-equipped agents, the end-customer experience is enhanced significantly. Customers receive faster responses and more accurate solutions to their queries, fostering a more positive interaction. By implementing Amazon Q in Connect, contact centers can achieve higher customer satisfaction and loyalty.
Business Benefits
Organizations investing in advanced tools like Amazon Q in Connect see tangible business benefits. Improved agent productivity leads to reduced operational costs, while higher customer satisfaction drives increased retention and revenue. As a result, businesses can maintain a competitive edge in the market.
How KeyCore Can Help
KeyCore, as a leading AWS consultancy, offers expertise in implementing and optimizing Amazon Connect solutions. Our team can assist in integrating Amazon Q in Connect into existing contact center frameworks, ensuring seamless operation and maximum effectiveness. By leveraging our services, organizations can fully realize the potential of their AWS investments.
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Innovating in the Public Sector
Enhancing Education with Cloud Technology
The University of Luxembourg has partnered with AWS to leverage advanced cloud technology in education, formalized through a Memorandum of Understanding (MoU). This collaboration is poised to revolutionize educational experiences by focusing on critical areas such as skills development, research, and the integration of artificial intelligence (AI). This initiative highlights the potential of cloud computing to transform educational frameworks, making them more responsive and innovative.
Transforming Genomics Education with Amazon WorkSpaces
At the Siriraj Medical Research Center, AWS enabled a breakthrough in genomics education through Amazon WorkSpaces. During a “Nanopore workshop: bacterial genome bioinformatics series,” AWS provided a consistent and high-performance computing environment. This setup allowed over 60 researchers to engage in complex genomic analyses seamlessly, showcasing the ability of AWS solutions to facilitate advanced educational programs and research initiatives.
Streamlining Procurement with Generative AI at Cal Poly
The Digital Transformation Hub (DxHub) at Cal Poly, leveraging AWS technology, developed the “Scope Builder” application. This generative AI-powered tool aims to transform the procurement process by assisting university procurement teams in crafting comprehensive statements of work. By simplifying the development of work scopes for RFPs and contracts, Cal Poly is setting a precedent for innovation in procurement management within educational institutions.
Hosting Regulated Workloads for U.S. Governments
U.S. State and Local Government (SLG) organizations face unique compliance challenges when hosting regulated workloads. AWS offers solutions through AWS GovCloud (US) and U.S. commercial regions to meet these compliance requirements. This approach enables SLG customers to securely host and manage their workloads while adhering to regulatory standards, demonstrating AWS’s capability in addressing specialized governmental needs.
Innovating Medical Fax Management with Amazon Bedrock
UTHealth Houston has revolutionized its fax management system by implementing iDFax, developed in cooperation with MSBMI, CDHI, and AWS. This solution aims to move beyond traditional faxing methods by deploying innovative technology that improves efficiency and reliability in medical communications. The success of iDFax highlights AWS’s role in facilitating digital transformation in the healthcare sector.
Building Secure AI Coding Assistants for Federal Agencies
For federal agencies, building an AI coding assistant requires robust security measures. AWS provides a comprehensive guide that combines AI services, open source tools, and secure infrastructure to enhance software development. Federal customers can maintain complete control over model selection and architecture, both in AWS GovCloud (US) and commercial regions, ensuring adherence to stringent security requirements.
Defining Organizational Roles with a RACI Matrix
This post, the final in a four-part series, explores how a Cloud Center of Excellence (CCOE) can drive digital transformation. The focus is on using a RACI matrix to define organizational roles and responsibilities, providing a structured approach to tackling digital transformation challenges. This framework supports organizations in optimizing their strategic cloud adoption and management efforts.
KeyCore’s Expertise in Transforming Public Sector Initiatives
KeyCore, as a leading AWS consultancy in Denmark, offers extensive expertise to support public sector entities in their cloud transformation journeys. KeyCore can assist organizations in implementing cutting-edge cloud solutions, optimizing procurement processes, ensuring compliance, and developing AI-driven applications. By partnering with KeyCore, public sector organizations can leverage AWS technology to enhance efficiency, innovation, and service delivery.
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Read the full blog posts from AWS
- University of Luxembourg and AWS collaborate to improve educational experiences
- Empowering bacterial genomics education with Amazon WorkSpaces
- Cal Poly seeks to transform procurement process with generative AI-powered scope of work generation
- Hosting regulated U.S. State and Local Government Workloads in AWS
- UTHealth Houston’s iDFax revolutionizes medical fax management with Amazon Bedrock
- Building an AI coding assistant on AWS: A guide for federal agencies
- Defining organizational roles with a RACI matrix
AWS Open Source Blog
Video Encoding on Graviton in 2025
AWS continues to leverage the power of its Graviton processors for video encoding workloads. Initially discussed in a 2022 post, AWS has since enhanced its offerings with the launch of Graviton4 powered C8g instances. These new instances provide up to a 30% improvement in performance over their Graviton3 predecessors. Specifically, for video encoding tasks, Graviton4 achieves a 12-15% performance boost, varying by the encoder used. This advancement underscores AWS’s commitment to optimizing video processing capabilities, which is crucial for businesses that rely on high-quality, efficient video streaming services.
Advancements in Graviton Technology
The introduction of Graviton4 instances signifies a substantial upgrade in computing power and efficiency. These processors are designed to handle demanding video encoding workloads more effectively, offering a significant performance uplift. For businesses, this means faster processing times and potentially lower costs due to the improved efficiency of these instances. By continually advancing their processor technology, AWS is positioning itself as a leader in video encoding solutions, providing clients with the tools necessary to meet growing media demands.
AWS Cloud Credits for Open Source Projects
Amazon Web Services is reinforcing its support for free and open source software projects with a renewed $3 million annual commitment to Kubernetes, the robust container orchestration platform integral to Amazon Elastic Kubernetes Service (Amazon EKS). This commitment is part of AWS’s broader strategy to bolster infrastructure for open source initiatives. By providing cloud credits, AWS aids developers in accessing necessary resources to sustain their projects, ensuring the ongoing evolution and development of vital open source tools.
Supporting the Open Source Ecosystem
The allocation of AWS Cloud Credits demonstrates a significant investment in the open source community, fostering innovation and development. By supporting foundational projects like Kubernetes, AWS enhances the cloud ecosystem, enabling developers to build and deploy applications more effectively. This commitment not only benefits individual projects but also strengthens the overall infrastructure of cloud-based services, aligning with AWS’s mission to drive innovation and support developers worldwide.
How KeyCore Can Help
KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to assist businesses in leveraging the latest advancements in AWS technology. Whether optimizing video encoding workloads on Graviton processors or integrating open source solutions like Kubernetes, KeyCore offers both professional and managed services to ensure seamless AWS implementations. With a deep understanding of AWS offerings and infrastructure, KeyCore provides tailored solutions to meet the unique needs of each client, enhancing efficiency and performance across cloud operations.