Summary of AWS blogs for the week of monday Mon Apr 07

In the week of Mon Apr 07 2025 AWS published 74 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Simplifying Code Documentation with Amazon Q Developer

In the rapidly evolving environment of software development, maintaining up-to-date documentation can often be overlooked in favor of rapid functionality delivery. Amazon Q Developer addresses this issue with its /doc agent, which automates the generation and updating of README files. This reduction in time spent on documentation allows developers to focus more on coding, effectively enhancing productivity. The tool integrates seamlessly, requiring minimal manual input, thus streamlining the documentation process significantly.

Enhancing Java Development with Inline Chat in Eclipse

Amazon Q Developer has introduced an inline chat feature within the Eclipse IDE, currently available in preview mode. This innovation greatly aids developers by embedding communication directly into the development environment. It allows for real-time discussions and collaboration, enhancing workflows when refactoring code or optimizing Java methods. Developers, whether new to Eclipse or seasoned users, will find this tool beneficial for streamlining their coding activities and improving performance efficiency.

Expanded Language Support in Amazon Q Developer

As software development becomes more global, the necessity for tools that support multiple languages grows. Amazon Q Developer has addressed this by expanding its language support, thus facilitating better interaction among developers from diverse linguistic backgrounds. This update enhances the platform’s usability, making it an invaluable asset for international teams collaborating on software architecture and documentation tasks.

Transforming Java Applications with Amazon Q Developer CLI

Adapting to new Java versions and evolving best practices is a pressing challenge in today’s software landscape. Amazon Q Developer’s Command Line Interface (CLI) offers a robust solution for Java application transformation. It provides an efficient alternative to IDE-based tools, enabling seamless code updates and transformations, which are crucial for maintaining modern, secure applications. This tool is especially beneficial for organizations needing to keep up with the latest Java enhancements.

General Availability of Amazon EventBridge Scheduler L2 Construct

The Amazon EventBridge Scheduler has reached general availability, offering newly introduced Level 2 (L2) constructs within the AWS Cloud Development Kit (CDK). This serverless scheduler allows developers to manage tasks and events efficiently and at scale. The new constructs simplify the implementation process, making it easier to integrate scheduling functionality into applications without extensive configuration requirements.

Migrating Embedded SQL in Java with Amazon Q Developer

Transitioning from proprietary databases like Oracle to open-source solutions such as PostgreSQL is increasingly common. Amazon Q Developer assists in this process by automating the conversion of embedded SQL within Java applications. This tool mitigates the risks associated with manual conversion, reducing errors and saving time. It ensures compatibility with new database systems, facilitating smoother migrations and modernization of database infrastructure.

Introducing Amazon Q Developer Pro Tier

Amazon Q Developer Pro Tier is ideal for software developers, teams, and IT professionals seeking enhanced features. This tier provides increased limits, enterprise-level administration, and additional tools like an analytics dashboard and code customizations. It also includes IP indemnity and requires AWS IAM Identity Center integration for most production deployments. This makes it a comprehensive solution for managing complex development environments at an enterprise level.

KeyCore’s Expertise with Amazon Q Developer and EventBridge Scheduler

KeyCore is well-positioned to assist organizations in leveraging the capabilities of Amazon Q Developer and the EventBridge Scheduler. Our expertise in AWS services enables us to provide customized solutions that enhance developer productivity and streamline software development processes. Whether it’s automating documentation, transforming Java applications, or implementing sophisticated scheduling, KeyCore offers professional and managed services to meet your organization’s unique needs.

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AWS for SAP

Secure and efficient access to SAP applications is essential for maintaining operational excellence and high productivity. With the rise of hybrid work models and mobile workforces, traditional VPN-based access to SAP systems is becoming insufficient. As organizations seek to improve their access strategies, they are looking beyond conventional VPN solutions.

The Challenges of Traditional VPNs

Traditional VPNs have been a staple for secure remote access to enterprise systems. However, they often struggle with scalability and performance issues, particularly as more users connect remotely. VPNs can also introduce latency, affecting the user experience when accessing SAP applications. Furthermore, managing and maintaining a VPN infrastructure can be resource-intensive and complex for IT departments.

Modern Approaches to SAP Access

To address these challenges, many organizations are exploring modern alternatives to VPNs for SAP application access. These can include cloud-based solutions that offer enhanced security and user experience. For instance, using AWS services such as AWS Direct Connect or AWS PrivateLink can provide more reliable and efficient access to SAP systems hosted on the cloud. These services can reduce latency and improve the overall performance of SAP applications, enhancing productivity for remote users.

Enhancing Security and User Experience

Beyond performance improvements, leveraging AWS services can enhance security. AWS Identity and Access Management (IAM) can help manage user access to SAP applications more effectively. By integrating IAM with SAP systems, organizations can enforce granular access controls and improve compliance with security policies. Additionally, utilizing AWS CloudFront as a CDN can help secure and accelerate content delivery for SAP applications.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, offers expertise in optimizing SAP application access on AWS. With our deep understanding of AWS services and SAP systems, we can help design, implement, and manage advanced access solutions tailored to your organization’s needs. Whether you are looking to move beyond traditional VPNs or enhance your existing SAP access infrastructure, KeyCore provides the professional services and managed services to optimize your SAP environment.

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Official Machine Learning Blog of Amazon Web Services

Building an AIOps Chatbot with Amazon Q Business Custom Plugins

This post explores the creation of an AIOps chatbot using custom plugins for Amazon Q Business. The chatbot facilitates interaction with AWS infrastructure by interpreting natural language prompts and commands. Users can seamlessly query data regarding Amazon EC2 ports and modify access settings for Amazon S3 buckets. By integrating a range of APIs, the chatbot offers a flexible solution for automating routine tasks and improving operational efficiency within AWS environments.

Enhancing Translation with Amazon Bedrock

TransPerfect collaborated with AWS’ Localization Team to integrate Amazon Bedrock into the GlobalLink translation management system. This integration has significantly enhanced the translation quality and operational efficiency for organizations managing multilingual content. By utilizing advanced AI capabilities, businesses can now produce and deploy content across multiple languages swiftly, optimizing global communication strategies.

Racing Beyond DeepRacer: AWS LLM League Debut

The AWS LLM League aims to democratize the customization of generative AI models. Through the use of Amazon SageMaker JumpStart, participants, regardless of their prior experience in data science, were guided in fine-tuning large language models to solve real-world business challenges. This initiative empowers users to adapt AI solutions to their specific business needs, thereby unlocking new potential for innovation and efficiency.

Reducing ML Training Costs with Amazon SageMaker HyperPod

This post delves into the complexities of large-scale frontier model training. Amazon SageMaker HyperPod emerges as a solution to mitigate hardware failures, enhance efficiency, and lower training costs. By minimizing interruptions during model training, organizations can achieve more reliable and cost-effective machine learning operations.

Model Customization and RAG with Amazon Nova

Amazon Nova models offer exciting advancements in AI, particularly in the context of large language model optimization. This post details a case study comparing model customization and Retrieval-Augmented Generation (RAG) using Amazon Nova. The insights from this study can guide organizations in optimizing their AI strategies, leading to more effective deployment and performance of LLMs.

Personalized User Communication with Amazon Personalize and Bedrock

Leveraging Amazon Personalize and Amazon Bedrock, this post demonstrates how to generate personalized outreach emails tailored to individual users. A video-on-demand use case highlights the potential to apply similar strategies across various domains, such as e-commerce and digital marketing, for improved customer engagement.

Automating Regulatory Compliance with Amazon Bedrock and CrewAI

This post introduces a multi-agent system using Amazon Bedrock and CrewAI to automate compliance processes for financial institutions. The system can summarize new regulations, evaluate their impact, and provide technical guidance automatically. By leveraging Amazon Bedrock Knowledge Bases and Agents, organizations can streamline regulatory compliance, reducing manual effort and improving accuracy.

Getting Started with Pixtral Large in Amazon Bedrock

Pixtral Large, a new multimodal model available in Amazon Bedrock, supports a range of use cases such as document understanding and image comparison. This post provides guidance on deploying Pixtral Large, showcasing its applicability in addressing diverse business challenges through advanced AI capabilities.

Human-in-the-Loop Confirmation with Amazon Bedrock Agents

This post focuses on implementing Human-in-the-Loop (HITL) confirmation using Amazon Bedrock Agents. By providing end-users the ability to approve actions and offer feedback, organizations can ensure safer and more effective operations. An HR agent example illustrates how this pattern can support employees with tasks like requesting time off.

Boosting Productivity with Amazon Q Business Insights

Amazon Q Business Insights provides valuable metrics for measuring user engagement and system effectiveness. This post outlines the dashboard’s navigation and access instructions, highlighting its role in improving organizational productivity through data-driven insights.

Multi-LLM Routing Strategies for Generative AI Applications

Organizations increasingly employ multiple large language models (LLMs) to build generative AI applications. This approach allows them to select the most suitable model for specific tasks, enhancing flexibility and performance. By adopting multi-LLM strategies, businesses can meet diverse use case requirements more effectively.

iFood’s Machine Learning Platform with Amazon SageMaker Inference

iFood has transformed its ML operations by utilizing Amazon SageMaker. The platform streamlines the complete ML lifecycle, from training to deployment, automating complex processes and enhancing operational efficiency. This integration underscores the potential for businesses to scale their ML initiatives effectively.

Building an Enterprise Synthetic Data Strategy with Amazon Bedrock

Amazon Bedrock facilitates the generation of synthetic data, aiding organizations in developing effective strategies across various industries. This post explores the challenges and benefits of synthetic data, emphasizing its potential to revolutionize AI and machine learning applications.

Introducing Llama 4 Models in SageMaker JumpStart

New Llama 4 Scout and Maverick models are now available in SageMaker JumpStart. This post guides users through deploying and prompting a Llama-4-Scout-17B-16E-Instruct model, illustrating how these models can be leveraged for enhanced AI capabilities.

RAG Applications and Multi-Tenancy in Amazon Bedrock

Amazon Bedrock Knowledge Bases support multi-tenancy and metadata filtering, enabling effective data management with appropriate access controls. This post demonstrates how organizations can scale their data management efforts while maintaining security and efficiency.

Effective Use of Prompt Caching on Amazon Bedrock

Prompt caching, available with Anthropic’s Claude models and Nova models, reduces response latency and costs significantly. This post offers a comprehensive overview of the feature, detailing how organizations can improve performance and cost-efficiency through effective prompt caching strategies.

Advanced Tracing and Evaluation of Generative AI Agents

Combining LangChain’s LangGraph, Amazon SageMaker AI, and MLflow provides a robust workflow for developing generative AI agents. This integration offers tools for performance evaluation, iteration, and version control, enabling organizations to refine their AI agents continuously.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to assist organizations in implementing these advanced AWS capabilities. Whether it’s developing custom AI solutions, optimizing ML workflows, or enhancing data management strategies, KeyCore’s expertise in AWS technologies ensures that businesses can effectively leverage Amazon’s offerings to drive innovation and success.

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Announcements, Updates, and Launches

Amazon has announced significant price reductions for Amazon S3 Express One Zone. This update includes a 31% decrease in storage pricing, a 55% reduction in PUT requests, and an impressive 85% reduction in GET requests. Additionally, the per-gigabyte data upload and retrieval charges have been decreased by 60%. Previously, these charges applied only to the portion of requests exceeding 512 kilobytes, but they now apply to all bytes. These adjustments make Amazon S3 Express One Zone a more cost-effective solution for data storage and retrieval.

Mistral AI’s Pixtral Large 25.02 model is now available on Amazon Bedrock as a fully managed, serverless offering. This multimodal model supports cross-Region inference, multilingual capabilities, and features a 128K context window. The model allows users to process images alongside text, streamlining complex AI operations and enhancing the flexibility of generative AI applications. This capability enables businesses to leverage advanced AI solutions without the need for extensive infrastructure management, offering a more scalable and efficient AI deployment.

Amazon introduces Nova Sonic, a new foundation model on Amazon Bedrock designed to enhance speech-enabled applications. Nova Sonic offers unified speech recognition and generation capabilities, enabling natural, human-like conversations. It provides contextual understanding, eliminating the need for multiple fragmented models. This innovation simplifies the development of applications requiring speech interaction, making it easier for businesses to implement advanced conversational AI solutions.

Amazon Bedrock Guardrails introduces new capabilities to enhance the safety of generative AI applications. These include multimodal toxicity detection, personally identifiable information (PII) protection, and various policy enforcement features. Enterprises like Grab, Remitly, and KONE are utilizing these capabilities to implement responsible AI at scale. The introduction of these advanced guardrails allows businesses to standardize AI safeguards, ensuring compliance and security across their AI operations.

The release of Amazon Nova Reel 1.1 marks significant improvements over its predecessor, Amazon Nova Reel 1.0. This update enables the generation of multi-shot videos up to 2-minutes in length, ensuring style consistency across shots. Quality and latency have also been improved, providing a more seamless experience for users. These enhancements cater to advanced video generation needs, making it easier for businesses to create high-quality multimedia content.

The AWS Weekly Review highlights the commencement of the AWS Summit season, offering free events worldwide. These summits provide an opportunity for the cloud computing community to connect, collaborate, and learn. Whether attending online or in-person, participants can expand their AWS knowledge through various sessions and networking events. The summits serve as a platform for sharing innovations and best practices, fostering a collaborative environment for AWS users globally.

At KeyCore, we are positioned to assist businesses in leveraging these AWS updates to optimize their operations. Our expertise in AWS allows us to guide clients through cost-effective data storage solutions, advanced AI deployments, and enhanced application safety measures. We provide tailored services that align with our clients’ unique needs, ensuring they maximize the benefits of AWS technologies. Visit our website to learn more about how KeyCore can support your business in adopting these innovative AWS solutions.

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Official Database Blog of Amazon Web Services

Heroku’s Migration to Amazon Aurora PostgreSQL-Compatible Edition

Heroku, a platform as a service (PaaS) provider, faced challenges with their multi-tenant PostgreSQL database fleet, which was self-managed on Amazon Elastic Compute Cloud (Amazon EC2). To enhance reliability and reduce their operational load, they opted to migrate to Amazon Aurora PostgreSQL-Compatible Edition. This transition was executed meticulously to ensure zero customer impact, thereby maintaining the continuity of services.

Old vs. New Architecture

Previously, Heroku managed a vast array of databases on EC2 instances, which required significant resources and maintenance. The new architecture with Amazon Aurora provided a more robust and scalable solution. Aurora’s compatibility with PostgreSQL allowed for a seamless transition, leveraging Aurora’s automated scaling and high availability features to enhance performance and reliability.

Migration Process and Customer Experience Enhancements

The migration involved transitioning hundreds of thousands of databases, a complex operation executed with precision to avoid disruption. Post-migration, customers experienced improved performance and fewer service interruptions. The operational burden on Heroku was significantly reduced, allowing them to focus on further innovations and service improvements.

Generative AI and Amazon Bedrock for SPARQL Query Generation

The integration of generative AI with Amazon Bedrock has facilitated novel ways to interact with complex data sets. In collaboration with UniProtKB and Amazon Neptune, AWS showcased how natural language questions can be translated into SPARQL queries. These queries can be used to search protein functional information within knowledge graphs.

SPARQL and RDF in Action

SPARQL, a powerful query language, is essential for querying data structured as Resource Description Framework (RDF) graphs. By employing generative AI, researchers and developers can streamline the process of formulating these complex queries. This capability is particularly valuable in bioinformatics, where exploring extensive protein databases is crucial.

KeyCore’s Role in AWS Database Solutions

KeyCore offers expertise in facilitating seamless migrations to AWS services like Amazon Aurora and optimizing database performance. With a deep understanding of AWS’s ecosystem, KeyCore can guide businesses in leveraging generative AI tools such as Amazon Bedrock. This support ensures that organizations maximize the potential of AWS services, enhancing their operational efficiency and innovation capabilities.

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AWS Training and Certification Blog

Accelerate Your AWS Migration with Training and Certification

In the competitive landscape of cloud computing, migrating to AWS offers numerous benefits, including scalability, flexibility, and innovation. However, the journey to a successful migration can present challenges at various stages. AWS Training and Certification provides essential resources tailored to accelerate this process by addressing key hurdles during the assessment, mobilization, and modernization phases.

Addressing Key Challenges

The initial assessment phase involves understanding your current infrastructure and identifying workloads for migration. AWS offers targeted training to enhance your team’s ability to evaluate and plan effectively, ensuring that the migration aligns with business objectives.

During mobilization, AWS Training empowers teams with advanced skills necessary for building proof-of-concepts and developing a migration strategy. This phase focuses on creating a solid foundation and organizational alignment, which are both critical for seamless migration.

Equipping Teams with Cloud Skills

Modernization is where the actual migration takes place, and AWS ensures your team is equipped with the latest cloud skills. Training and Certification resources cover key technical topics, such as infrastructure design, application development, and cost optimization, which are vital for a successful transition and continued innovation post-migration.

Building Organizational Alignment

A key component of AWS Training is promoting organizational alignment through shared understanding and collaboration. By equipping teams with consistent, high-quality knowledge, AWS Training fosters a culture of innovation and confidence, reducing resistance to change and facilitating smoother transitions.

How KeyCore Can Help

KeyCore’s expertise in AWS consultancy provides invaluable support for businesses embarking on their cloud migration journey. Our tailored services include comprehensive training programs and strategic guidance to ensure your organization maximizes the benefits from AWS Training and Certification. By partnering with KeyCore, you can build robust technical capabilities and achieve your migration goals efficiently and effectively.

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Official Big Data Blog of Amazon Web Services

Amazon Web Services (AWS) consistently enhances its offerings to provide businesses with cutting-edge tools for data management and analytics. The following summaries highlight recent advancements and integrations in AWS’s big data services, including orchestration, integration, search, observability, and security enhancements.

Orchestrating with Amazon MWAA Across Regions and Accounts

Amazon Managed Workflows for Apache Airflow (MWAA) offers a robust solution for orchestrating data pipelines across multiple AWS accounts and Regions. This centralized orchestration allows organizations to efficiently manage data processing and machine learning tasks distributed globally, enhancing both performance and compliance. By leveraging Amazon MWAA, businesses can streamline their workflows, reduce operational overhead, and ensure that data governance policies are consistently applied across all operational environments.

Secure Integration of ThoughtSpot with Amazon Redshift

The integration of ThoughtSpot with Amazon Redshift through AWS IAM Identity Center is designed to create a secure and seamless analytics experience. This integration enables organizations to authenticate users centrally and provide them with access to data insights without compromising security. By simplifying the authentication process, businesses can empower their teams to focus on deriving and sharing valuable insights, thereby enhancing decision-making processes.

Enhanced Data Discovery with Amazon SageMaker Unified Studio

Amazon SageMaker Unified Studio has introduced an exact match search feature using technical identifiers in its Catalog. This enhancement significantly smooths the data discovery process, enabling users to locate datasets using precise identifiers swiftly. This improvement not only accelerates the time-to-insight but also aids in maintaining data accuracy and consistency, which are crucial for high-quality machine learning workflows.

Real-Time Observability with Apache Flink and Prometheus

Leveraging Apache Flink’s new connector, organizations can now process millions of observability events and write directly to Prometheus for real-time monitoring. This method allows users to manage Prometheus metrics data cardinality by preprocessing raw data with Flink. By integrating with Amazon Managed Service for Prometheus and Amazon Managed Grafana, businesses can enhance their observability infrastructure, ensuring robust, real-time insights into their operations.

Handling Concurrent Conflicts in Apache Iceberg with AWS Glue

Managing concurrent write conflicts in Apache Iceberg is crucial for maintaining data integrity. AWS Glue Data Catalog now supports mechanisms for reliable concurrent write handling in Iceberg tables. This includes examining Iceberg’s concurrency model and implementing both automatic retry mechanisms and custom conflict resolution logic. Additionally, optimization through AWS Glue Data Catalog table enhancements supports automatic compaction, promoting resilient data pipelines.

Improving Data Security with Private Connect for Salesforce and Redshift

In the latest enhancement for Salesforce Data Cloud integration, AWS Private Connect provides a secure connection to Amazon Redshift. By creating AWS endpoint services, businesses can enhance the security of their data interactions, ensuring that sensitive information is protected during transit. This solution is integral for organizations looking to improve their data security posture while continuing to leverage powerful analytics capabilities.

KeyCore, as a leading AWS consultancy, can assist organizations in implementing these advanced AWS solutions. By partnering with KeyCore, businesses can ensure they maximize the value of AWS’s cutting-edge services while maintaining optimal security, compliance, and operational efficiency. Our expertise in AWS ecosystem integration and management ensures that your business can focus on innovation and growth.

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Networking & Content Delivery

In the realm of AWS networking and content delivery, understanding and optimizing data transfer costs and securing web applications are paramount for efficient operation and cost management. This exploration dives into the specifics of AWS Network Load Balancers and Application Load Balancers, providing insight into cost optimization and security enhancement strategies.

Optimizing Data Transfer Costs with AWS Network Load Balancers

Data transfer costs can significantly impact your AWS bill, especially when leveraging Network Load Balancers (NLBs). The post on this topic breaks down how Amazon EC2 data transfer costs interact with NLBs in various scenarios involving clients and targets. By analyzing these scenarios, users can strategize to minimize costs while maintaining efficient data flow. For instance, understanding the cost implications of data transfer between different availability zones and regions can guide users in designing cost-effective network architectures.

To gain a comprehensive understanding, readers are encouraged to examine the breakdown of costs associated with Classic and Application load balancers in a related post. By doing so, organizations can craft more informed decisions around their AWS data transfer strategies, ultimately leading to significant savings and optimized network performance.

Enhancing Security and Performance with AWS Application Load Balancers

Amazon’s Application Load Balancers (ALBs) offer robust capabilities to secure web applications while optimizing performance. A notable feature of ALBs is their ability to modify request and response headers, providing users with flexibility to enhance security and optimize application behavior. This capability allows for the integration of essential security headers, which can protect applications against common vulnerabilities and cyber threats, ensuring a smooth and secure user experience.

By leveraging ALBs, businesses can also optimize the performance of their web applications. Fine-tuning request and response headers can lead to more efficient data processing and reduced latency, further contributing to an enhanced user experience. These adjustments align with business goals of maintaining high security standards and delivering flawless performance to end-users.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, is well-equipped to assist organizations in navigating the complexities of AWS data transfer cost optimization and web application security. Our team of experts can provide detailed analysis and tailored solutions to optimize your AWS infrastructure, ensuring that your data transfer costs are minimized and your applications are safe and performant. By collaborating with KeyCore, businesses can leverage our expertise to achieve operational efficiency and secure their digital assets on AWS.

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AWS Compute Blog

Powering Generative AI/ML Solutions with AWS Outposts Servers at Edge Locations

Generative AI initiatives are gaining significant traction across various industries, leveraging the AWS cloud for cutting-edge advancements. AWS Outposts Servers enable these AI/ML workloads to be deployed at edge locations, providing low-latency and high-performance computing resources. This configuration allows organizations to run complex models close to where data is generated, benefiting applications that require real-time processing and analysis.

Outposts Servers offer a seamlessly managed hybrid cloud solution, extending AWS infrastructure to a customer’s data center or on-premises location. This proximity to data sources not only reduces latency but also enhances the overall efficiency of AI/ML operations. Companies can utilize these servers to refine their AI models, ensuring they are continuously optimized and responsive to changing inputs.

Incorporating Outposts Servers into generative AI strategies empowers businesses with the flexibility to handle diverse data streams while maintaining robust security and compliance standards. This approach is particularly beneficial for sectors such as healthcare, finance, and manufacturing, where data sensitivity and processing speed are paramount.

Enriching and Customizing Notifications with Amazon EventBridge Pipes

Amazon EventBridge Pipes revolutionize the way event-driven architectures are implemented by offering an efficient method to enrich events with additional data. Traditionally, customers relied on AWS Lambda functions to augment events, which could involve complex coding and maintenance. EventBridge Pipes streamline this process, allowing users to directly incorporate extra information into events without the need for intermediate processing.

This capability enhances the value of events, making them more informative for downstream consumers and applications. By using EventBridge Pipes, organizations can effortlessly integrate diverse data sources, including databases, SaaS applications, and custom data stores, directly into their event-driven workflows.

The adoption of EventBridge Pipes reduces operational overhead and accelerates the development of robust, scalable event-driven systems. This innovation is particularly advantageous for businesses seeking to optimize their notification systems and ensure timely, context-rich notifications for their users.

Serverless ICYMI 2025 Q1

The AWS Serverless ICYMI quarterly recap provides a comprehensive overview of the latest updates and developments in the serverless ecosystem. This edition highlights essential product launches, feature enhancements, and key resources that have emerged in the first quarter of 2025.

Key updates include advancements in AWS Lambda, API Gateway, and serverless analytics, all of which offer enhanced capabilities for modern application development. The recap also covers valuable educational content, including blog posts, videos, and live streams, designed to empower developers with the knowledge to build and optimize serverless architectures.

By staying informed about these updates, organizations can leverage the latest serverless technologies to innovate rapidly and drive efficiency in their operations. The ICYMI series serves as a vital resource for those looking to harness the full potential of AWS serverless solutions.

How KeyCore Can Help

KeyCore offers unparalleled expertise in deploying and managing AWS Outposts Servers, ensuring your generative AI/ML solutions are optimized for performance and efficiency. Our team can assist in designing edge computing strategies that align with your business needs, leveraging AWS infrastructure to its fullest potential.

For organizations looking to implement event-driven architectures, KeyCore provides tailored solutions using Amazon EventBridge Pipes. We help streamline your notifications and enrich them with critical data, enhancing your event workflows and reducing operational complexity.

Our comprehensive serverless services enable businesses to stay ahead of the curve, utilizing the latest AWS advancements to drive innovation. Whether it’s through consulting or managed services, KeyCore is your partner in transforming your AWS infrastructure and maximizing your cloud investment.

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Integration & Automation

Fortra, in collaboration with AWS, has introduced an advanced method for automating security compliance checks and remediation across intricate, multi-account, and multi-Region organizations. This partnership aims to address the growing need for efficient security management in cloud environments.

Comprehensive Compliance Automation

The solution leverages AWS’s robust infrastructure to automate repetitive compliance tasks, ensuring that organizations consistently meet security standards. By integrating with AWS services, like AWS Config and AWS Lambda, the solution automates the identification of non-compliant resources and orchestrates remediation without manual intervention.

Efficient Remediation Strategies

Once a compliance issue is detected, the system automatically triggers remediation workflows tailored to address specific security gaps. This approach minimizes the time between detection and resolution, reducing the risk exposure window. The integration with AWS Systems Manager further streamlines these processes, allowing for quick and effective adjustments.

Scalability Across Complex Environments

Designed for scalability, the approach supports organizations with multiple AWS accounts across various regions. By utilizing AWS Organizations, the solution can be deployed consistently across all accounts, ensuring that security compliance is maintained uniformly, regardless of the size or complexity of the infrastructure.

Transforming Security Management

This collaboration between Fortra and AWS represents a significant advancement in cloud security management. By automating compliance checks and remediation, organizations can focus more on strategic initiatives rather than manual security tasks. This not only enhances security posture but also optimizes resource allocation.

KeyCore’s Expertise

At KeyCore, we have extensive experience in implementing AWS-based security solutions. Our expertise in integrating and automating compliance processes can help organizations take full advantage of this innovative approach. Whether it’s setting up automated workflows or ensuring seamless integration across different AWS services, KeyCore is equipped to assist in optimizing your security operations.

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AWS Storage Blog

Prime Video Enhances Stream Analytics with Amazon S3 Express One Zone

Amazon Prime Video, a leading provider of original and licensed streaming content, has leveraged Amazon S3 Express One Zone to significantly enhance its stream analytics capabilities. The telemetry platform within Prime Video is critical for monitoring playback performance, enabling recovery from failures, providing comprehensive business analytics, and generating real-time insights.

By using Amazon S3 Express One Zone, Prime Video has optimized its data storage solutions, focusing on cost efficiency and streamlined data lifecycle management. This strategic shift allows the platform to store telemetry data more effectively while maintaining rapid access for analytics processes. The result is improved performance in monitoring and analyzing streaming data, which in turn enhances user experience and operational efficiencies.

The integration of Amazon S3 Express One Zone facilitates superior data handling capacity, ensuring that Prime Video can continue to deliver high-quality content experiences to its global audience. This approach also supports the scalability needed to accommodate future growth in data volume and complexity.

Real-Time Monitoring with AWS Elastic Disaster Recovery and Amazon Q Developer

Ensuring resilience through real-time monitoring is a cornerstone of AWS Elastic Disaster Recovery strategies. Amazon Q Developer provides robust tools for tracking and managing workloads, ensuring businesses can meet their resilience objectives by monitoring critical functions in real time.

With Amazon Q Developer, businesses gain visibility into user activities and key performance metrics. This transparency allows for automated responses to events that could impact operations, thereby maintaining continuity and minimizing downtime. Monitoring is not just about reactive measures; it enables proactive adjustments that can prevent disruptions before they occur.

Effective real-time monitoring is crucial for maintaining operational efficiency and agility. By leveraging Amazon Q Developer with AWS Elastic Disaster Recovery, businesses can enhance their disaster recovery strategies, ensuring swift and efficient responses to potential threats, thus safeguarding business continuity and performance.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers unparalleled expertise in AWS storage solutions and real-time monitoring strategies. Our team can assist in optimizing your data storage with Amazon S3 Express One Zone, ensuring cost-effective and efficient data management tailored to your needs.

For businesses looking to enhance their disaster recovery strategies, KeyCore provides comprehensive services to implement and manage AWS Elastic Disaster Recovery and Amazon Q Developer solutions. Our experts can design and execute monitoring systems that ensure your business remains resilient and responsive to any challenges.

Partner with KeyCore to leverage the full potential of AWS technologies, driving innovation and efficiency in your operations. Visit our website to learn more about how we can support your cloud journey.

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AWS Architecture Blog

UNiDAYS, a global student affinity network, successfully achieved AWS Region expansion within a remarkably short timeframe of just three weeks. This accomplishment underscores the agility, scalability, and robustness of AWS services in facilitating rapid business growth and geographical expansion. In this achievement, UNiDAYS leveraged several AWS services to extend its operations into new regions efficiently.

Strategic Use of AWS Services

To accomplish their regional expansion, UNiDAYS utilized AWS services like Amazon Route 53, AWS CloudFormation, and AWS CodePipeline. These services were crucial in automating infrastructure deployment and managing DNS routing, enabling UNiDAYS to seamlessly scale its operations. By automating the infrastructure setup, the team minimized manual errors and significantly reduced deployment time.

Automated Infrastructure Deployment

Using AWS CloudFormation, UNiDAYS automated the provisioning of resources, ensuring that each aspect of the deployment was consistent across regions. AWS CodePipeline, with its continuous delivery capabilities, facilitated the rapid deployment of applications and updates, aligning with the organization’s agile development practices.

Efficient DNS Management

Amazon Route 53 played a pivotal role in managing DNS routing, allowing UNiDAYS to efficiently direct user traffic to the nearest AWS Region. This service not only improved latency and user experience but also ensured high availability by redirecting traffic in case of regional issues.

Business Value and Outcomes

By expanding their AWS Region footprint, UNiDAYS enhanced their global reach, improved application performance, and strengthened system reliability. This rapid expansion allowed them to cater to a broader audience and capitalize on emerging market opportunities swiftly.

How KeyCore Can Assist

KeyCore, as the leading Danish AWS consultancy, can assist organizations in achieving similar rapid regional expansions. Our expertise in AWS services, infrastructure automation, and continuous delivery pipelines ensures a seamless and efficient expansion process. We provide end-to-end support, from planning and execution to ongoing management, helping businesses leverage AWS’s full potential for global growth.

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AWS Partner Network (APN) Blog

Transforming Customer Experience with Adobe AEP, AWS, and Merkle’s BYOM Solution

The integration of Adobe Experience Platform (AEP), Amazon Web Services (AWS), and Merkle’s Bring Your Own Model (BYOM) accelerator is revolutionizing customer experience personalization at scale. By combining AEP’s robust data foundation, AWS’s advanced enterprise AI capabilities, and Merkle’s innovative machine learning (ML) model integration, organizations can deliver highly targeted customer experiences. This integrated solution significantly cuts implementation costs by up to 60%, while enabling the use of custom ML models and generative AI to enhance customer engagement. The business value here lies in reducing operational costs and improving customer satisfaction through more personalized interactions.

Real-Time Personalization in Amazon Connect with Tealium and AI

Tealium’s Customer Data Platform (CDP) has been integrated with Amazon Connect to transform customer service by embedding real-time digital journey insights into the contact center environment. The reference architecture supports the seamless incorporation of customer behavior data from web, mobile, and connected devices directly into Amazon Connect. This integration empowers customer service agents with contextual intelligence, significantly reducing resolution times and providing hyper-personalized experiences that enhance customer satisfaction. By leveraging real-time insights, organizations can boost their service efficiency and customer loyalty.

Streamlining mNGS Analysis with Micronbrane Medical and Basepair on AWS

To address the complexities of metagenomic sequencing, Micronbrane Medical, in collaboration with Basepair—an AWS Partner Network member—has developed PaRTI-Seq Analysis. This streamlined metagenomic next-generation sequencing (mNGS) platform offers a user-friendly bioinformatics analysis that overcomes traditional hurdles. The white-labeled, secure, and cost-effective solution processes complex genomic data in as little as 30 minutes. This allows laboratories with limited programming and computing expertise to access sophisticated metagenomic analyses, thus democratizing access to advanced scientific tools.

Making LLMs Accessible and Cost-Effective with AWS and Intel’s DeepSeek

AWS and Intel are partnering to enhance the accessibility and cost-effectiveness of Large Language Models (LLMs) by running Small Language Models (SLMs) on CPUs. By providing distilled versions of models such as DeepSeek-R1, enterprises can achieve efficient and cost-effective deployments without sacrificing performance. The solution leverages standard hardware, thus reducing the overall cost of implementation while maintaining the desired output quality. This approach enables businesses to harness the power of AI-driven language models affordably and efficiently.

How KeyCore Can Help

KeyCore, with its extensive expertise in AWS solutions, can assist organizations in leveraging these innovative technologies to transform customer experiences, streamline operations, and achieve cost-effective AI deployments. Whether it’s integrating advanced AI capabilities into customer service platforms or facilitating access to complex genomic analyses, KeyCore provides tailored consulting and managed services to meet the unique needs of businesses. By partnering with KeyCore, organizations can maximize the value of these cutting-edge AWS technologies.

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AWS HPC Blog

The Frugal HPC Architect: FinOps for HPC Workloads at Scale

High Performance Computing (HPC) workloads on AWS provide unparalleled scalability and flexibility. However, traditional on-premises cost management techniques often fall short in the cloud environment. This article delves into the essential strategies for optimizing costs and enhancing efficiency for AWS HPC workloads.

Key Levers for Cost Reduction

Reducing costs in AWS HPC workloads involves leveraging specific strategies that are tailored to the cloud’s unique environment. Among the primary methods are right-sizing instances, using Spot Instances, and employing Reserved Instances where applicable. Right-sizing ensures that resources are not over-provisioned, which can lead to unnecessary expenses. Spot Instances, which are often available at a fraction of the usual cost, can be an excellent choice for non-critical workloads. Reserved Instances provide significant cost savings for predictable, long-term workloads.

Understanding Consumption

Gaining insight into consumption patterns is crucial for effective cost management in AWS. Monitoring tools like AWS CloudWatch and AWS Cost Explorer enable architects to track usage and identify potential areas of inefficiency. These tools help in understanding resource consumption patterns, which is key to making informed decisions about scaling and resource allocation.

Measuring Efficiency and Effectiveness

Efficiency and effectiveness are critical metrics for assessing the success of HPC workloads on AWS. Efficiency can be measured by how well resources are utilized, while effectiveness assesses whether the HPC workload meets its intended goals. AWS offers tools like AWS Compute Optimizer and AWS Trusted Advisor to provide recommendations for improving both efficiency and effectiveness. By continuously evaluating these metrics, businesses can ensure they are maximizing their investment in AWS infrastructure.

How KeyCore Can Help

At KeyCore, we specialize in optimizing AWS environments for cost efficiency and performance. Our team can assist in implementing best practices for HPC FinOps, including right-sizing, utilizing cost-effective pricing models, and leveraging AWS tools for monitoring and optimization. By partnering with KeyCore, organizations can achieve significant cost savings and enhance the performance of their HPC workloads on AWS.

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AWS Cloud Operations Blog

Scaling AWS Fault Injection Service Across Organizations and Regions

The series on scaling AWS Fault Injection Service (FIS) provides a comprehensive guide on implementing FIS across AWS organizations and regions. Initially, the focus is on introducing FIS into a single AWS account, setting up IAM roles and Service Control Policies (SCPs) as essential guardrails for conducting chaos engineering experiments. This structured approach ensures that potential system failures can be safely introduced to test resilience without risking critical systems.

Expanding Across AWS Accounts

The second part of the series expands into scaling FIS within organizations. It covers how to adopt SCPs to enable network experiments in a centralized networking infrastructure. This part addresses the practicalities of implementing chaos engineering at the organizational level, making it easier to manage and standardize across multiple accounts. The focus is on reducing complexities while allowing for controlled disruptions that can test system robustness.

Account Controls for Effective Scaling

The series further explains using account controls to facilitate chaos engineering at scale. By injecting controlled failures into your systems, AWS FIS helps verify system resilience and reliability. This method not only prepares systems for adverse conditions but also boosts confidence in handling production challenges, ultimately enhancing the customer experience.

Advanced Recovery Actions with AWS FIS

AWS has introduced a new recovery action for the AWS Fault Injection Service, which now supports Amazon Application Recovery Controller (ARC) zonal autoshift. This integration allows for more comprehensive testing by enabling disruptive events that trigger zonal autoshifts. This enhancement helps monitor application behavior under stress and ensures robust failover mechanisms are in place.

Analyzing Azure Audit Logs with CloudTrail Lake

As cloud environments grow more complex, integrating Azure Audit Logs with AWS CloudTrail Lake offers a powerful solution for monitoring and security compliance across multicloud infrastructures. This combination provides enhanced visibility, facilitating comprehensive security audits and compliance checks by offering a detailed view of activities across Azure and AWS environments. This integration is essential for organizations looking to maintain robust security postures in multicloud setups.

Unlocking AWS Config for Centralized Compliance

AWS Config plays a crucial role in managing centralized compliance and resource management. It enables the creation of a centralized inventory of resources across AWS accounts, allowing organizations to quickly identify unencrypted resources and maintain compliance. The tool supports governance, security, and management capabilities, making it indispensable for organizations aiming to streamline AWS resource management and meet compliance standards efficiently.

How KeyCore Can Help

KeyCore is well-equipped to assist organizations in implementing and scaling AWS Fault Injection Service and AWS Config effectively. Our team of AWS experts can guide you through the process of integrating chaos engineering into your systems, ensure your multicloud environments are secure with tools like AWS CloudTrail Lake, and help maintain compliance with AWS Config. Visit KeyCore’s website to learn how we can support your AWS cloud operations.

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AWS for Industries

Continental, a leading automotive supplier, is revolutionizing embedded software development by virtualizing electronic control units (ECUs) and the applications they support. This approach is pivotal in the automotive industry, where innovation is accelerated by decoupling software development and testing from physical hardware constraints.

Virtualization of ECUs

Virtualization allows Continental to run multiple instances of ECUs in a simulated environment. This not only enhances the flexibility of development processes but also enables developers to parallelize hardware and software efforts. By deploying virtual ECUs (vECUs), they can perform testing in a controlled, repeatable environment, which significantly reduces the time and cost associated with traditional hardware-bound development.

Benefits of Decoupling Hardware and Software

Decoupling the software from hardware constraints facilitates continuous integration and deployment, which are crucial for delivering rapid iterations of software updates in the automotive sector. This process also allows for thorough testing under various scenarios without the need for extensive physical hardware setups, thereby enhancing the quality and reliability of the software. Moreover, it enables engineers to focus on innovation and performance improvement rather than being bogged down by hardware limitations.

Accelerating Innovation in the Automotive Industry

By leveraging virtualization, Continental can address the growing demand for sophisticated automotive features, such as advanced driver-assistance systems (ADAS) and autonomous driving capabilities. The virtualization of ECUs supports the integration of complex functionalities into vehicles, paving the way for future advancements in automotive technology.

How KeyCore Can Assist

KeyCore, as the leading Danish AWS Consultancy, can assist organizations in implementing advanced virtualization strategies by leveraging AWS cloud services. Our expertise in AWS technologies ensures that automotive companies can efficiently simulate and test their systems, accelerating innovation while reducing costs. With our managed and professional services, KeyCore provides tailored solutions to meet the unique demands of the automotive industry, helping businesses navigate the complexities of modern software development in the cloud.

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AWS Marketplace

Cribl Stream is a powerful telemetry data pipeline that plays a critical role in optimizing the analysis of Amazon VPC Flow Logs. By positioning itself between data sources and destinations, it offers a flexible and efficient way to manipulate flow logs in transit. This capability is essential for organizations looking to streamline their network monitoring processes and derive actionable insights from their data.

Real-Time Filtering and Data Volume Reduction

One of Cribl Stream’s standout features is its ability to perform real-time filtering on VPC Flow Logs. This not only reduces the volume of data that needs to be processed but also cuts down on associated costs. By eliminating unnecessary data early in the process, businesses can focus on the most relevant information, leading to more effective monitoring and quicker response times to network events.

On-the-Fly Enrichment and Format Transformation

Cribl Stream also provides on-the-fly enrichment by integrating external data sources. This enriches flow log data with additional context, enhancing its value for security and monitoring purposes. Furthermore, the platform supports format transformation, making it easier to analyze flow logs by converting them into formats that are more accessible to various analysis tools.

Enhancing Network Monitoring and Security

By leveraging these capabilities, organizations can achieve more efficient network monitoring and gain deeper security insights. Cribl Stream not only optimizes the data pipeline but also empowers IT teams to be more proactive in identifying and responding to potential network threats.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to help organizations implement and optimize Cribl Stream for Amazon VPC Flow Logs. Our expertise in AWS services ensures that clients can maximize the benefits of real-time data processing and enrichment. We provide tailored solutions and ongoing support to ensure seamless integration and operation within existing AWS environments. With KeyCore, businesses can confidently enhance their network monitoring capabilities and security posture.

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

Enhanced Network Security Control with AWS Network Firewall

AWS Network Firewall is a robust, managed service that offers stateful network firewall capabilities, intrusion detection, and prevention. It allows organizations to apply security rules for refined control over their VPC network traffic. Recent enhancements focus on flow capture and flow flush features. These additions significantly improve network visibility and bolster security policy enforcement, offering users more comprehensive control over their data flow management. These tools are crucial for organizations looking to optimize their security posture in an increasingly complex digital landscape.

Automating AWS Private CA Audit Reports and Alerts

In today’s digital environment, secure communication channels are vital, and digital certificates are at the heart of this security. While public certificates protect internet-facing applications, internal resources benefit from private certificates. These private certificates enable organizations to maintain confidentiality and customization. AWS provides mechanisms to automate audit reports and alerts for certificate expiration, ensuring continuous security and compliance. Automation simplifies management, reduces the risk of expired certificates, and enhances operational efficiency, making it a valuable tool for organizations focused on security and compliance.

AWS Achieves Cyber Essentials Plus Certification

AWS has successfully renewed the UK Cyber Essentials Plus certification, valid until March 21, 2026. This certification, supported by the UK Government, demonstrates AWS’s commitment to cybersecurity. It helps organizations showcase their ability to protect against common cybersecurity threats. By maintaining this certification, AWS underscores its dedication to providing a secure cloud environment for its clients, reinforcing trust and ensuring compliance with industry standards.

Support for ML-KEM Post-Quantum TLS in AWS KMS, ACM, and Secrets Manager

AWS has implemented the latest hybrid post-quantum key agreement standards for TLS in three of its services: AWS Key Management Service (KMS), AWS Certificate Manager (ACM), and AWS Secrets Manager. The support for Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM) enhances security by preparing for future quantum-computing threats. This update is crucial for forward-thinking organizations looking to secure their cryptographic operations against emerging vulnerabilities. AWS’s proactive approach ensures a robust security framework, accommodating evolving technological landscapes and maintaining data integrity.

How KeyCore Can Help

KeyCore offers expert guidance on leveraging AWS’s latest security features. Whether it’s optimizing AWS Network Firewall setups, automating AWS Private CA processes, ensuring compliance with certifications like Cyber Essentials Plus, or integrating post-quantum cryptographic measures, KeyCore’s consultancy and managed services can enhance your organization’s security posture. Our experienced team helps tailor AWS solutions to meet your specific needs, ensuring robust and future-ready data security strategies.

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AWS Contact Center

Amazon Web Services (AWS) has been recognized as a leader in the 2025 Forrester Wave for Contact Center as a Service (CCaaS), thanks to Amazon Connect. This acknowledgment highlights the ongoing growth and robustness of Amazon Connect, a cloud-based contact center solution that has become increasingly influential since its inception in 2017. The Forrester Wave report assesses the top 10 CCaaS providers, using a comprehensive set of research criteria to determine industry leaders.

Amazon Connect’s Evolution

Since its launch, Amazon Connect has continuously advanced, providing organizations with an efficient and scalable contact center solution. The platform allows businesses to deliver superior customer service by integrating seamlessly with other AWS services. This integration empowers businesses to leverage AI and machine learning capabilities, enabling personalized customer experiences.

Why AWS is a Leader

The recognition by Forrester is a testament to Amazon Connect’s strengths. These include its scalability, flexibility, and robust feature set that allow companies to tailor the platform to their specific needs. The evaluation by Forrester considers several criteria, including market presence, strategy, and current offering, where AWS excelled.

Business Value of Amazon Connect

Amazon Connect offers significant business value by reducing operational costs associated with traditional contact center infrastructures. With its pay-as-you-go pricing model, companies can manage costs effectively. Moreover, it enhances customer satisfaction through seamless service delivery, ultimately supporting business growth and customer retention.

How KeyCore Can Assist

KeyCore provides expert consultancy services to help businesses maximize the potential of Amazon Connect. Whether it’s deploying a new contact center solution or optimizing an existing setup, KeyCore offers tailored solutions that align with your business objectives. Leveraging our extensive AWS expertise, we ensure your contact center operates efficiently, enhancing both operational performance and customer satisfaction.

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Innovating in the Public Sector

Cloud Cost Management for Academic Institutions

Academic institutions leveraging cloud services must proactively manage and optimize cloud costs. By utilizing Amazon Web Services (AWS), these institutions can significantly reduce their expenses. This involves a strategic approach towards resource allocation, cost monitoring, and implementation of best practices in cloud cost management. The article provides ten practical tips, including rightsizing resources, adopting reserved instances, and utilizing cost management tools, to ensure efficient cloud spending in educational settings.

CIMAR’s Platform for National Lung Cancer Screening

Leveraging AWS, CIMAR has created a robust medical image management platform that supports NHS England’s national lung cancer screening program. This platform connects 124 acute NHS trusts and multiple mobile scanning units, facilitating the rapid roll-out, scaling, and operation of the program. By utilizing AWS’s scalable infrastructure, CIMAR enables efficient data management and sharing, enhancing the screening program’s reach and effectiveness.

AI for Teaching & Learning Framework

The AI for Teaching & Learning Framework on AWS is transforming educational experiences by addressing the evolving needs of higher education. This framework integrates AI-driven solutions to personalize learning, improve resource allocation, and enhance the overall teaching and learning environment. By automating routine tasks and providing insights into student performance, AWS is helping institutions navigate the digital age more effectively.

Advancing Digital Skills with AWS Skill Builder

As European institutions strive to achieve digital transformation goals, workforce skills development is paramount. AWS Skill Builder offers specialized learning solutions tailored for EU government professionals, helping them acquire necessary digital skills. This initiative supports the creation of a digitally skilled workforce, crucial for meeting Europe’s ambitious digital goals set for 2024-2029.

Enhancing Space Resilience with AWS Ground Station

AWS Ground Station provides public sector organizations with on-demand access to AWS-managed antennas. These antennas, available as shared or dedicated resources, enable organizations to scale their ground segment capabilities dynamically. This flexibility enhances the resilience of space architectures, allowing them to adapt to changing mission demands while ensuring robust communication and data transmission.

Generative AI for Decision Making

Booz Allen, an AWS Premier Services Partner, has developed an innovative solution using Amazon Bedrock-powered generative AI to enhance decision-making for system changes. This solution streamlines the decision-making process, offering improved accuracy and efficiency. By leveraging advanced AI capabilities, organizations can make informed decisions, optimizing system performance and adaptability.

Expanding Multilingual Accessibility with Worldreader

Worldreader is overcoming global educational content accessibility challenges by combining cloud computing and generative AI on AWS. This approach allows Worldreader to scale its impact, maintaining the quality and educational value of its content. By utilizing Amazon Bedrock, Worldreader expands its reach, ensuring diverse communities have access to engaging educational materials in multiple languages.

How KeyCore Can Help

As a leading AWS consultancy in Denmark, KeyCore is well-equipped to assist organizations in leveraging AWS technologies across various sectors. Whether optimizing cloud costs, implementing AI frameworks, or enhancing digital skills, KeyCore offers tailored solutions to meet specific needs. Our expertise in AWS services ensures that institutions can efficiently achieve their objectives, from digital transformation to system resilience and beyond. Visit KeyCore for more information on how we can support your AWS initiatives.

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