Summary of AWS blogs for the week of monday Mon Apr 28

In the week of Mon Apr 28 2025 AWS published 93 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Amazon Q Developer has seen a surge of innovations in April 2025, significantly advancing its capabilities in generative AI. This evolution has introduced new developer experiences that were unimaginable just a few months ago. The continuous innovations make Q Developer a leading generative AI-powered assistant for software development, turning complex tasks into manageable solutions with ease.

Enhancing Developer Tools with Generative AI

Generative AI in Amazon Q Developer allows for the automation and enhancement of various development tasks. This technology can assist in code generation, debugging, and even in optimizing cloud architectures. These features streamline the development process, enabling developers to focus on higher-level problem-solving without getting bogged down by routine tasks.

Transforming the AWS Well-Architected Framework

Amazon Q Developer has revolutionized the AWS Well-Architected Framework, which is crucial for designing secure and efficient cloud infrastructures. Traditionally, adhering to this framework required extensive expertise and manual analysis. However, Q Developer now automates much of this process, offering insights and suggestions that align with best practices, making it easier for developers and architects to maintain robust cloud solutions.

Migrating from CDK v1 to CDK v2

With AWS CDK version 1 no longer supported since June 2023, developers face the challenge of migrating to version 2. Amazon Q Developer facilitates this transition, providing tools and guidance to update legacy applications efficiently. This migration is not just about staying current; it leverages new features that enhance performance and maintainability, ensuring applications are future-proof.

Introducing Model Context Protocol (MCP)

The launch of Model Context Protocol (MCP) integration in the Amazon Q Developer CLI opens new possibilities for context-aware development. By allowing connections to external data sources, developers can obtain more insightful and context-rich responses. This integration enhances the decision-making process, reducing errors, and improving overall productivity.

Streamlining Secure Development with Snyk

Combining Snyk’s security insights with Amazon Q Developer’s capabilities creates a powerful synergy for secure software development. Developers can confidently build new features while maintaining codebase security. This collaboration allows for proactive identification and mitigation of vulnerabilities, ensuring that security is ingrained in the development lifecycle from the start.

At KeyCore, we specialize in leveraging these innovations to maximize your AWS infrastructure’s potential. Our expertise in integrating Amazon Q Developer’s tools with your existing systems ensures that you can take full advantage of these advancements, keeping your applications secure, efficient, and aligned with AWS best practices. Explore how we can enhance your development processes with cutting-edge AWS solutions.

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Official Machine Learning Blog of Amazon Web Services

Building a Generative AI–Powered Financial Assistant with Amazon Bedrock

Amazon Web Services (AWS) is pioneering the creation of a financial assistant system powered by generative AI. The assistant specializes in portfolio creation, company research, and communication. Utilizing Amazon Bedrock’s multi-agent collaboration, distinct agents are employed to enhance financial analysis. This system demonstrates how specialized agents collaborate to process complex financial tasks, offering a glimpse into the future of financial services automation.

WordFinder App: Empowering Aphasia Communication with AWS

The WordFinder app exemplifies how AWS services can be harnessed for health-related innovation. Developed by a team including Dr. Kori Ramajoo and Scott Harding, the app aids individuals with aphasia by using AWS’s generative AI technology. This cloud-based mobile solution increases independence for users by enhancing communication capabilities, highlighting the transformative potential of AI in healthcare.

Faster Insights with AWS Trusted Advisor and Amazon Q Business

AWS Trusted Advisor insights can now be accelerated using Amazon Q Business. Integrating with Jira, this application processes datasets from Trusted Advisor reports, enabling quicker, actionable insights. This approach showcases how generative AI services can streamline decision-making processes, empowering businesses to leverage data more effectively for strategic decisions.

Best Practices for Fine-Tuning Meta Llama 3.2 Models on Amazon Bedrock

Fine-tuning Meta Llama 3.2 multimodal models on Amazon Bedrock involves comprehensive best practices that can boost performance. By optimizing smaller models, businesses can achieve results comparable to larger models, reducing costs and latency. These practices are crucial for organizations aiming to maximize AI efficiency without sacrificing accuracy.

Enhancing SageMaker AI with Model Context Protocol

The Model Context Protocol (MCP), developed by Anthropic, offers a standardized method to connect foundation models (FMs) to data sources. This post demonstrates how MCP integration with SageMaker AI can enhance loan underwriting through specialized roles and automated workflows, showcasing a new perspective on AI-driven financial processes.

Automating Document Translation with Amazon Bedrock and Translate

Amazon Bedrock and AWS Translate collaborate to automate language localization. This solution leverages serverless technologies to translate documents without the complexity of server management. By integrating Bedrock with AWS’s event-driven services, businesses can efficiently manage global communication needs.

Autonomous Mortgage Processing with Amazon Bedrock

The automation of mortgage processing represents a significant advancement in financial services. Amazon Bedrock Agents and Data Automation orchestrate each step of the mortgage approval process, from document verification to risk assessment. This solution exemplifies the potential for AI to minimize human intervention in complex decision-making processes.

Amazon Bedrock Model Distillation for Enhanced Efficiency

Model distillation in Amazon Bedrock enhances function calling accuracy while reducing operational costs. By transferring knowledge from larger foundation models to smaller models, this technique enables specialized models to excel in specific tasks, demonstrating the efficiency of targeted AI applications.

Public-Facing AI Applications with Amazon Q Business

The introduction of anonymous user access in Amazon Q Business allows for the creation of public-facing generative AI applications. This feature enables developers to build applications accessible without user authentication, broadening the reach and accessibility of AI-driven solutions.

AI-Powered Accounting Transformation with Anthropic’s Claude 3

FloQast’s use of Anthropic’s Claude 3 on Amazon Bedrock highlights the transformative potential of AI in accounting. By leveraging advanced AI tools, FloQast delivers enhanced transaction solutions, setting a new standard for financial automation and efficiency.

Implementing Production-Ready Solutions with Generative AI

Transitioning from production-ready generative AI solutions to full-scale implementation involves unique operational challenges. Insights from AWS customers in EMEA reveal strategies for overcoming these challenges, providing a roadmap for organizations seeking to fully integrate AI into their operations.

Ensuring AI Safety with Data Reply’s Red Teaming Solution

Data Reply’s red teaming solution integrates AWS services with open-source tools to enhance AI safety. By establishing a robust red teaming mechanism, organizations can ensure responsible AI practices, safeguarding against potential AI-related risks.

Accelerating AI Development with AWS LLM League and SageMaker AI

The AWS LLM League accelerates AI development by gamifying enablement, fostering rapid growth in practical AI capabilities. This initiative showcases how fine-tuning smaller language models can provide cost-effective solutions tailored to industry-specific needs.

Optimizing Amazon Nova Migration with Data-Aware Prompts

The Amazon Nova migration process is enhanced through data-aware prompt optimization. By continuously evaluating model performance and refining prompts, this approach improves model migration, ensuring efficient data handling and performance optimization.

Customized Tool Usage with Amazon Nova Models

Amazon Nova models can be customized for specific tool usage through precise fine-tuning processes. This post details the customization process, from data formatting to model deployment, underscoring the flexibility of Nova models in specialized applications.

Evaluating Amazon Bedrock Agents with Ragas and LLM-as-a-Judge

The Bedrock Agent Evaluation framework, integrated with Langfuse, streamlines agent development and evaluation. This solution assesses agent performance against industry-specific challenges, providing valuable insights for enhancing AI-driven research and applications.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in AWS solutions, including generative AI, financial automation, healthcare innovations, and more. Whether you’re looking to implement AI-driven processes, optimize AWS use, or ensure responsible AI practices, KeyCore can provide tailored support and strategic guidance to achieve your business objectives. Our team of AWS experts can assist with everything from initial concept development to full-scale implementation, leveraging AWS’s advanced capabilities to unlock new opportunities for your organization.

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Announcements, Updates, and Launches

Amazon has announced several enhancements and new offerings, focusing on improving developer experiences, model capabilities, and operational efficiency. These updates span various services such as Amazon Q Developer, AWS Outposts, Amazon Bedrock, and Amazon CloudFront.

Amazon Q Developer Enhancements

The new interactive, agentic coding experience for Visual Studio Code enhances Amazon Q Developer’s capabilities. By enabling the IDE to take intelligent actions autonomously, developers can significantly streamline their coding processes. This feature assists in debugging, code generation, and error handling, allowing developers to focus more on complex problem-solving rather than manual coding tasks.

Nova Premier: Advanced AI Model

The Nova Premier model is Amazon’s latest offering, designed to handle complex tasks that require a deep understanding of context and multistep planning. It excels in processing text, images, and videos, making it a versatile tool for various applications. Additionally, Nova Premier acts as a teacher model, enabling the distillation of smaller, efficient models for broader production use, thus promoting scalability and efficiency in AI deployments.

AWS Outposts Racks Upgrade

AWS has introduced second-generation Outposts racks, enhancing on-premises performance with advanced x86-powered EC2 instances. These racks offer accelerated networking options, tailored for ultra-low latency and high-throughput workloads. This upgrade aims to provide businesses with robust infrastructure for demanding applications, ensuring seamless integration with AWS services.

Meta’s Llama 4 Models in Amazon Bedrock

Amazon Bedrock now hosts Meta’s latest AI models, Llama 4 Scout 17B and Llama 4 Maverick 17B. These serverless models offer enhanced reasoning, image understanding, and extended context processing, catering to enterprise applications across diverse industries. The natively multimodal capabilities are designed to facilitate advanced AI-driven solutions.

Amazon CloudFront SaaS Manager

Amazon CloudFront SaaS Manager is a new tool designed to ease the management of content delivery across multiple domains for SaaS providers and web hosting platforms. It simplifies operational complexity, ensuring high-performance delivery and security across customer domains, thereby enhancing user experience and reducing overhead.

Writer’s Palmyra Models in Amazon Bedrock

The Palmyra X5 and X4 models from Writer are now available in Amazon Bedrock. These models feature extensive context windows and enterprise-grade security, supporting the development of sophisticated AI applications. They are tailored for diverse industry needs, ensuring robust performance and security.

AWS Weekly Roundup Highlights

The AWS Weekly Roundup emphasized Amazon Q Developer’s improvements and AWS Account Management updates. With summit events providing a platform for knowledge sharing and networking, attendees can engage in talks, demos, and activities. These events remain a valuable resource for staying updated on AWS innovations.

For organizations looking to leverage these advancements, KeyCore offers comprehensive support in implementing and optimizing AWS solutions. With expertise in AWS technologies, KeyCore can help enhance performance, streamline operations, and ensure security across your cloud infrastructure.

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Containers

As organizations expand, maintaining governance and securing workloads present increasing challenges. Security and platform teams must implement consistent security controls and enforce best practices without impeding the agility of application teams. Olly Pomeroy, a Senior Container Specialist Solution Architect at AWS, addresses these challenges in a blog post about building secure guardrails for Amazon ECS using AWS IAM and AWS CloudFormation Guard.

Enforcing Consistent Security

When scaling operations, organizations need efficient ways to enforce security controls. AWS IAM and AWS CloudFormation Guard offer a robust framework for establishing security policies as code. This approach helps ensure that consistent security measures are applied across all workloads. By automating the enforcement of security controls, teams can focus on innovation rather than manual compliance checks.

Integrating Security with Agility

Security shouldn’t slow down the development process. By using tools like AWS CloudFormation Guard, organizations can create guardrails that prevent non-compliant resources from being provisioned. This proactive security model enables application teams to work at speed while maintaining compliance with corporate standards. AWS IAM further allows fine-grained access control, ensuring that only authorized personnel can make changes to critical resources.

Best Practices in Action

Implementing security guardrails using AWS services empowers organizations to adopt best practices effortlessly. By integrating these tools into the CI/CD pipelines, security becomes an integral part of the development lifecycle rather than an afterthought. This strategy not only enhances security posture but also ensures that governance policies evolve in tandem with organizational growth.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, can assist organizations in designing and implementing secure guardrails for Amazon ECS. With expertise in AWS IAM and AWS CloudFormation Guard, KeyCore can tailor solutions that meet specific security and compliance requirements. By partnering with KeyCore, organizations can leverage advanced AWS capabilities while ensuring their workloads remain secure and compliant.

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Official Database Blog of Amazon Web Services

In the realm of database management, several recent articles from the official Amazon Web Services (AWS) database blog provide insightful details on various advanced topics such as transaction visibility, authorization systems, performance improvements, anomaly detection, and system resiliency. These articles offer both technical depth and practical business value, demonstrating AWS’s continuous efforts to enhance its services.

Understanding Transaction Visibility in PostgreSQL Clusters

In April 2025, Jepsen released a comprehensive report on transaction visibility behavior within Amazon RDS for PostgreSQL Multi-AZ clusters. This analysis exposed certain behaviors that exist in both Amazon RDS and community PostgreSQL. The report highlights issues related to transaction visibility, which are crucial for ensuring data consistency across read replicas. AWS offers additional context by diving into the specifics of these issues, discussing potential impact on particular architectural classes, and suggesting workarounds. Notably, AWS underscores its commitment to improving PostgreSQL in aspects of correctness, ensuring robust and reliable database operations for businesses relying on these systems.

Graph-Powered Authorization: ReBAC

Traditional authorization systems, such as role-based access control (RBAC) and attribute-based access control (ABAC), often fail to meet the complex requirements of modern enterprises. AWS introduces a more nuanced approach with relationship-based access control (ReBAC), which leverages the inherent relationships within data to manage access more effectively. This approach provides greater flexibility and scalability, which is particularly beneficial for large organizations with intricate access control needs. By adopting ReBAC, enterprises can achieve more precise and dynamic authorization, aligning with current demands for secure and efficient access management.

Data Masking and Performance Improvements in AWS DMS 3.5.4

With the release of AWS Database Migration Service (AWS DMS) version 3.5.4, AWS introduces significant enhancements, including data masking and improved data validation performance. These features are pivotal for enhancing security and ensuring the integrity of migrated data. Data masking provides an additional layer of security by obscuring sensitive information during the migration process, while performance improvements ensure smoother and faster data validation. These enhancements are crucial for businesses undergoing digital transformation, offering more secure and efficient migration processes.

Zupee’s Real-Time Anomaly Detection with Amazon Neptune

Zupee, a rapidly growing skill-based gaming platform in India, leverages Amazon Neptune to detect anomalies in wallet transactions in real time. By utilizing Amazon Neptune, Zupee can trace complex relationships between users, devices, and transaction metadata, enhancing the detection of fraudulent activities. This implementation showcases how graph databases like Neptune can significantly improve real-time data processing and anomaly detection, providing businesses with powerful tools to safeguard financial transactions.

Enhancing Resiliency with Valkey GLIDE and Amazon ElastiCache

Habby, a game studio, improved its system’s resiliency and robustness by adopting Valkey GLIDE alongside Amazon ElastiCache for Redis OSS. The integration addresses challenges related to connection stability during infrastructure changes, including instance scaling and Redis version upgrades. By utilizing the Pub/Sub functionality within ElastiCache, Habby enhances its messaging system architecture, ensuring reliable communication even amidst infrastructure adjustments. This strategy exemplifies how businesses can leverage AWS solutions to maintain high availability and performance in dynamic environments.

These advancements highlight AWS’s dedication to providing robust, scalable, and secure database solutions. Organizations can leverage these innovations to strengthen their infrastructure, ensure data consistency, and improve overall performance and security. KeyCore, as a leading AWS consultancy, stands ready to assist businesses in implementing these technologies, ensuring seamless integration and optimization of AWS services to meet specific business needs.

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AWS Cloud Financial Management

AWS Budgets Enhancements for Improved Cloud Budgeting

AWS recently introduced new features in AWS Budgets designed to enhance cloud budgeting accuracy and flexibility for users. These updates empower organizations to more effectively track and manage their AWS expenditures by leveraging advanced budgeting capabilities.

Extended Cost Metrics

The new features include support for additional cost metrics, specifically net unblended costs and net amortized costs. This enables a more comprehensive and nuanced understanding of AWS spending patterns, providing users with the ability to analyze costs over time and across different AWS services with greater precision.

Exclusion of Specific Dimension Values

AWS Budgets now allows users to exclude specific dimension values when creating budgets. This includes the capacity to filter out particular services, accounts, and instance types. Such granular control ensures that budgets are more relevant and tailored to an organization’s specific needs and operational requirements.

Advanced Filtering Capabilities

The introduction of new filtering capabilities allows users to manage charge types with fine-grained control. Users can now include or exclude AWS Savings Plans (SPs), Reservation (RI) upfront charges, recurring fees, taxes, and credits. These enhancements provide users with the flexibility necessary to construct budgets that accurately reflect their financial strategies.

Enhanced API Functionality

AWS Budgets also features improved API functionality that aligns filter expressions with AWS Cost Explorer. This consistency between AWS services ensures a seamless and integrated approach to cost management, making it easier for users to implement and automate budget monitoring and adjustments programmatically.

In summary, these AWS Budgets updates facilitate more precise cloud budgeting processes by offering extended metrics, customizable budget dimensions, refined control over charge types, and robust API enhancements.

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AWS Training and Certification Blog

The AWS Training and Certification Blog recently shared two inspiring articles about transformative educational journeys in the cloud computing field. These articles highlight the impact of AWS’s comprehensive training programs on career development, showcasing how individuals and institutions leverage Amazon Web Services to bridge the cloud skills gap.

Transforming Careers with AWS Cloud Institute

In the first article, a scientist shares his journey from the laboratory to the cloud, facilitated by the AWS Cloud Institute. This nine-month program is meticulously designed to help professionals transition into cloud computing careers. It combines immersive hands-on learning experiences with expert mentorship and leads to industry-recognized certifications. Students gain practical skills that are directly applicable in the workforce, supporting their career transformation.

The program’s structure allows professionals from diverse fields to acquire the technical know-how required in today’s digital economy. Through this initiative, AWS demonstrates its commitment to equipping individuals with skills that align with the industry’s evolving needs, ensuring they are career-ready upon completion.

UVA’s Cyber Bootcamp at AWS Skills Center Arlington

The second article focuses on the University of Virginia’s cyber bootcamp at the AWS Skills Center in Arlington. This innovative program immerses students in cloud computing and cybersecurity through practical, hands-on learning. Participants also benefit from industry networking opportunities and AWS certification preparation.

The collaboration between UVA and AWS exemplifies how educational institutions can partner with industry leaders to provide students with cutting-edge skills. AWS Skills Centers aim to make such educational opportunities accessible to learners everywhere, further bridging the gap in cloud skills across diverse demographics.

How KeyCore Can Assist

KeyCore, a leading AWS consultancy in Denmark, can help organizations and individuals leverage AWS training programs to enhance their cloud competencies. With expertise in both professional and managed services, KeyCore supports clients in integrating AWS learning paths into their professional development strategies. This ensures that their teams are equipped with the necessary skills to thrive in cloud environments. For more information on how KeyCore can facilitate your AWS training and certification journey, visit our website at KeyCore.dk.

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Microsoft Workloads on AWS

With the increasing complexity of business environments, managing multiple identity providers seamlessly has become critical. This article explores how using Okta as an identity hub can integrate multiple identity providers with AWS IAM Identity Center. This integration ensures a consistent authentication experience, bolsters security, and simplifies administration.

Streamlined Authentication Experience

Enterprises often grapple with the challenge of providing a seamless authentication experience across various platforms and services. By leveraging Okta in conjunction with AWS IAM Identity Center, businesses can centralize their identity management. This integration allows users to enjoy a unified sign-in process, reducing friction and enhancing productivity.

Enhanced Security Measures

The integration of Okta with AWS IAM Identity Center also strengthens security protocols. Utilizing Okta as an identity hub enables organizations to enforce robust security policies, such as multi-factor authentication (MFA), across all integrated services. This layered security approach mitigates risks associated with unauthorized access and data breaches.

Simplified Administration

Managing identity providers through Okta simplifies administrative tasks significantly. Administrators can configure identity providers centrally, reducing the overhead associated with managing individual setups. This consolidation not only saves time but also reduces the likelihood of configuration errors, leading to more secure and efficient operations.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, offers expert guidance on deploying and managing identity solutions like Okta with AWS IAM Identity Center. KeyCore’s team can assist in creating a scalable authentication architecture, ensuring that your enterprise enjoys a secure, streamlined, and efficient identity management system. Whether it’s designing the integration or managing ongoing operations, KeyCore provides the expertise needed to achieve optimal results.

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Official Big Data Blog of Amazon Web Services

Amazon OpenSearch Service Flow Builder for AI Search Innovation

Amazon OpenSearch Service has introduced a new flow builder designed to streamline the integration of AI-powered search capabilities. This tool is available in all AWS Regions where OpenSearch 2.19+ is supported. It allows developers to enhance semantic search capabilities in existing OpenSearch applications without needing to modify client-side code. Additionally, the flow builder supports the creation of multi-modal Retrieval-Augmented Generation (RAG) flows, revolutionizing image discovery within applications. This innovation empowers users to quickly implement and iterate on AI-enhanced search functionalities, fostering rapid search technology evolution.

Building Apache Spark Pipelines with Amazon MWAA and EMR on EKS

This article explores the construction of comprehensive Apache Spark-based data processing pipelines using Amazon Managed Workflows for Apache Airflow (Amazon MWAA), Batch Processing Gateway (BPG), and Amazon EMR on EKS clusters. By integrating Amazon MWAA, users can add job scheduling and orchestration capabilities, enhancing the multi-cluster solution. This integration provides a seamless way to manage data workflows, ensuring robust and scalable processing environments that meet complex data processing needs efficiently.

Unified Scheduling in Amazon SageMaker Unified Studio

Amazon SageMaker Unified Studio now offers a unified scheduling feature that simplifies the automation of data workflows. Users can now schedule both visual ETL flows and SQL analytics queries, called query books, with just a few clicks. The underlying architecture of this feature supports streamlined data workflow automation, enhancing efficiency and reducing operational complexity. This development is particularly beneficial for businesses looking to optimize their data processing and analytics pipelines.

Optimizing Data Pipelines with AWS Managed Services

Flutter UKI has successfully transitioned its data pipeline architecture from a traditional monolithic Amazon EC2-based setup to a modern, scalable solution with Amazon Managed Workflows for Apache Airflow (Amazon MWAA). By leveraging features such as the Kubernetes Pod Operator and continuous integration and delivery (CI/CD) processes, Flutter UKI has enhanced performance and scalability. This case study highlights the tangible benefits of adopting AWS managed services in optimizing data workflow operations.

BMW Group’s Serverless Data Transformation with dbt and Amazon Athena

The BMW Group’s Cloud Efficiency Analytics (CLEA) team has developed a FinOps solution to optimize cloud costs across over 10,000 accounts. This post details their journey to create a serverless data transformation architecture using dbt and Amazon Athena. The architecture achieves high efficiency by leveraging serverless technologies, offering a scalable and cost-effective solution for handling terabyte-scale data transformations.

Best Practices for Least Privilege in Amazon MWAA

This article discusses the implementation of least privilege principles in Amazon MWAA environments. It highlights the importance of tightening network security using security groups, network access control lists (ACLs), and virtual private cloud (VPC) endpoints. The article also examines the intricacies of Amazon MWAA execution and deployment roles, emphasizing the need for precise permission configurations to maintain a secure data processing environment.

Accessing Data through Amazon SageMaker Unified Studio

This two-part series demonstrates how Amazon SageMaker Unified Studio can be used to onboard and access existing AWS data sources. Part 1 focuses on integrating AWS Glue Data Catalog and Amazon Redshift. Part 2 extends integration capabilities to Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. The posts guide users through configuring permissions and establishing connections, thus enabling seamless incorporation of diverse data infrastructures into SageMaker workflows.

Natural Intelligence’s Data Lake Migration to Apache Iceberg

Natural Intelligence (NI) shares their experiences and solutions in migrating their data lake to Apache Iceberg. The case study provides insights into overcoming real-world challenges associated with such transitions. While focusing less on technical specifications, it highlights practical solutions and key takeaways that can assist other organizations contemplating similar migrations, providing a roadmap for successful implementation.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers specialized services to assist organizations in implementing and optimizing their AWS infrastructure. Whether it involves enhancing search capabilities with Amazon OpenSearch, constructing scalable Apache Spark pipelines, or transitioning to serverless architectures, KeyCore’s expertise ensures seamless integration and operational efficiency. Our professional and managed services provide comprehensive support, from initial consulting to ongoing management, ensuring your AWS solutions deliver maximum business value.

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Networking & Content Delivery

Securing Internet Routing with RPKI and Security Checks

AWS is focused on providing the most secure cloud environment for its users, and part of this effort is the implementation of Resource Public Key Infrastructure (RPKI). AWS boasts the largest deployment of RPKI, a security framework designed to protect internet routing. This framework helps ensure that IP prefixes are properly verified before being propagated across the internet, reducing the risk of route hijacking and misconfigurations. By incorporating additional security checks, AWS further strengthens its network infrastructure, safeguarding data and improving trustworthiness for users operating in the cloud. These measures contribute significantly to the robust security posture that AWS is known for.

Simplifying Hybrid Network Inspection with AWS Cloud WAN

Managing and securing networks across different AWS Regions and environments, as well as on-premises locations, is a complex task for organizations. AWS Cloud WAN addresses this challenge by offering a unified approach to network management. The service enables users to streamline their network operations through a single network policy framework. This includes capabilities like segmentation, dynamic route propagation, and a centralized dashboard for monitoring. By simplifying network inspection and management, AWS Cloud WAN reduces operational overhead, enabling organizations to focus on their core business activities while maintaining a secure and efficient network infrastructure.

Visualizing Network Performance with Network Flow Monitor

Announced at re:Invent on December 1st, 2024, AWS introduced Network Flow Monitor as part of Amazon CloudWatch Network Monitoring. This tool provides users with near real-time insight into the network performance of their AWS Cloud workloads. Network Flow Monitor is designed to track network traffic between compute resources like Amazon EC2 and Amazon EKS, offering detailed metrics and visualizations. This visibility allows businesses to optimize their network configurations and resolve issues swiftly, ensuring high performance and reliability for their cloud applications.

KeyCore’s Expertise in AWS Networking & Content Delivery

KeyCore, as the leading Danish AWS Consultancy, offers unparalleled expertise in leveraging AWS’s networking and content delivery services. Our team can help organizations implement secure and efficient network infrastructures using AWS technologies like RPKI, Cloud WAN, and Network Flow Monitor. We provide both professional and managed services to ensure our clients maximize the value of their AWS investments. Whether it’s enhancing security, simplifying network management, or optimizing network performance, KeyCore has the knowledge and experience to assist organizations on their AWS journey. Visit our website to learn more about how we can support your cloud initiatives.

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AWS Compute Blog

Tiered Pricing and Additional Logging Destinations for AWS Lambda Logs

Effective logging is crucial for observability in serverless applications using AWS Lambda. Lambda automatically captures and forwards logs to Amazon CloudWatch Logs, which simplifies building application logic by abstracting the logging infrastructure. This allows operators to effortlessly troubleshoot performance issues and failures. With the introduction of tiered pricing for Amazon CloudWatch logs, AWS aims to offer a more cost-effective solution for users scaling their serverless applications. In addition, additional logging destinations enhance the flexibility and control users have over their logging data.

Integrating Quick Service Restaurants with AWS Serverless Architectures

The post explores how AWS serverless technologies, such as Amazon EventBridge and AWS Lambda, facilitate integration between Quick Service Restaurants (QSRs) and online food delivery aggregators. Leveraging these technologies, QSRs can expand their consumer base by offering delivery options, thereby growing their businesses. This integration approach provides a scalable and cost-effective solution that enhances both the operational efficiency and customer reach of QSRs.

Optimizing AWS Lambda Cold Start Performance with SnapStart

SnapStart, introduced during re:Invent 2022, is a performance optimization feature that enhances the responsiveness and scalability of AWS Lambda applications. The cold start time, mainly caused by function initialization, can be significantly reduced by employing ‘Priming’ techniques. This article dives into methods for optimizing startup times, specifically for AWS Lambda functions developed with Java and Spring Boot, enabling developers to build more responsive serverless applications efficiently.

Standardizing AWS Lambda Billing for the INIT Phase

Commencing August 1, 2025, AWS plans to standardize billing for the initialization (INIT) phase across all AWS Lambda function configurations. This adjustment affects on-demand invocations where previously, the INIT phase duration wasn’t billed. The post discusses details about the Lambda Function Lifecycle, the changes to INIT phase billing, and offers strategies to monitor and optimize this phase to minimize costs while maintaining performance.

Ensuring Capacity During Host Failures on AWS Outposts

This post addresses best practices for capacity management and fault tolerance using Outposts rack. By leveraging the Outposts API, users can automate monitoring and alerting systems to identify potential resiliency issues, ensuring spare capacity during host failures. This dynamic monitoring approach enhances the reliability and continuity of operations hosted on AWS Outposts.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, offers expert guidance and solutions for implementing AWS logging strategies, serverless architecture integrations, and performance optimizations in AWS Lambda functions. With in-depth experience in AWS services, KeyCore provides managed services and professional expertise to help businesses optimize costs, enhance performance, and ensure high availability. Whether deploying serverless applications or managing AWS Outposts, KeyCore’s tailored solutions can drive your AWS initiatives to success. Visit KeyCore’s website for more information.

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AWS for M&E Blog

Localized Content with Amazon Bedrock Flows

Content producers and publishers are leveraging Amazon Bedrock Flows to enhance engagement through localization. With vast collections of articles, often numbering in the hundreds of thousands, there’s immense potential to reach new audiences across different geographies. Localization involves transforming content by adapting lexical choices, tone, and translations to suit the cultural and linguistic preferences of target markets. This process not only increases engagement but also opens up new and emerging markets, offering content producers a pathway to expand their reach and relevance globally.

Formula 1® and AWS: Innovating Sports Streaming

Formula 1®, celebrating its 75th anniversary in 2025, has partnered with AWS to set a new standard in sports streaming. The launch of F1 TV Premium marks a significant step towards enhancing the fan experience. This new subscription tier is specifically designed to offer fans an enriched, premium viewing experience, highlighting AWS’s role in transforming sports entertainment. By integrating advanced streaming technologies, F1 TV Premium provides viewers with unmatched access to races, stats, and interactive elements, further solidifying F1’s position at the forefront of sports innovation.

Banijay Entertainment’s Digital Transformation

In a bid to remain agile and seize new opportunities, Banijay Entertainment is embarking on a digital transformation journey with Base Media Cloud and AWS. This strategic initiative is focused on enhancing creativity and responsiveness as audiences engage with content in diverse ways. By leveraging AWS’s robust cloud solutions, Banijay aims to optimize its production processes, streamline operations, and foster creativity. This transformation not only supports Banijay’s commitment to innovation but also aligns with the evolving demands of modern content consumption, ensuring they continue to captivate global audiences.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS Consultancy, offers tailor-made solutions to help businesses like yours harness the full potential of AWS. Whether it’s localizing content with Amazon Bedrock Flows, innovating streaming experiences with AWS technologies, or driving digital transformations akin to Banijay’s, KeyCore provides the expertise and support needed to succeed. Our managed services ensure seamless integration and optimization of AWS resources, while our professional services offer strategic insights and implementation guidance. Discover how KeyCore can empower your business today by visiting our website.

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AWS Storage Blog

As businesses continue to rely heavily on data, efficient backup and recovery processes are crucial, especially for those utilizing Oracle databases on Amazon Elastic Compute Cloud (Amazon EC2). This article delves into optimizing backup and restore operations using AWS Backup and Oracle Fast Recovery Area (FRA) on Amazon FSx for NetApp ONTAP.

Oracle Fast Recovery Area on Amazon FSx

Oracle Fast Recovery Area (FRA) serves as a centralized, Oracle-managed storage space that simplifies data protection, disaster recovery, and compliance requirements for Oracle databases. By utilizing Amazon FSx for NetApp ONTAP, organizations can effectively manage FRA, ensuring that backup times are minimized and recovery processes are expedited. This combination empowers businesses to meet both data protection and disaster recovery needs, supporting the exponential growth of data while ensuring resilience against potential data loss.

AWS Backup for Oracle Databases

Using AWS Backup, companies can automate and streamline backup processes for their Oracle databases hosted on Amazon EC2. AWS Backup integrates with the FRA on Amazon FSx for NetApp ONTAP, providing a robust solution for managing backups and ensuring quick recovery. By leveraging these AWS services, organizations can achieve comprehensive data protection and disaster recovery objectives, maintaining compliance and safeguarding critical data assets.

Restore Testing for Recovery Validation

In the realm of mission-critical applications, a solid backup strategy is essential. However, backups alone are insufficient without validation. Manual restore testing consumes significant IT resources and may not scale with the growing complexity of threats like ransomware. AWS Backup provides a more efficient solution for recovery validation by automating restore testing.

Automated restore testing ensures that backups are not only present but also functional when needed. This capability is critical for organizations across sectors such as e-commerce and healthcare, where downtime can be costly. By implementing these automated processes, businesses can gain confidence in their data protection strategies, minimizing the operational burden on IT teams and maximizing the reliability of their disaster recovery plans.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance on leveraging AWS Backup and Oracle FRA on Amazon FSx for NetApp ONTAP. Our team can assist in designing, implementing, and managing robust backup and recovery solutions tailored to meet the specific needs of your organization. With KeyCore’s professional and managed services, ensure your Oracle databases are protected, compliant, and ready for swift recovery in the face of any disaster.

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AWS Developer Tools Blog

Version 4.0 of the AWS SDK for .NET has officially been released for general availability. This update marks a significant milestone, as it has been in development for over a year and has gone through 13 preview versions in the SDK’s public GitHub repository. The enhancements in this version focus on performance improvements, consistency with other AWS SDKs, and addressing bug and usability issues.

Performance Improvements

The new version of the AWS SDK for .NET brings several optimizations that enhance performance. These improvements ensure faster and more efficient operations when interacting with AWS services, making the SDK a robust tool for developers who rely on .NET for building cloud-enabled applications.

Consistency and Usability Fixes

Consistency with other AWS SDKs has been a priority in this release. Developers will notice a more uniform experience across different AWS SDK languages, which simplifies the transition and integration of multi-language projects. The update also includes various bug fixes and usability enhancements that address issues reported by the developer community, providing a smoother development experience.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, offers expert guidance and support for integrating the AWS SDK for .NET V4.0 into existing projects or starting new ones. With our deep understanding of AWS services and SDKs, our team can ensure that businesses leverage the full potential of this update to enhance their cloud applications. Whether it involves performance optimization, bug resolution, or creating a seamless cross-language development environment, KeyCore is equipped to deliver tailored solutions to meet specific needs.

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AWS Partner Network (APN) Blog

Building Resilient Distributed Systems with Temporal and AWS: Temporal’s workflow engine is at the forefront of creating resilient applications. By leveraging Temporal on AWS, organizations can ensure consistency and automatic recovery during system failures. This approach addresses the inherent challenges of distributed systems, providing durable execution and enhancing operational efficiency. Temporal’s solution allows for seamless integration across an organization’s infrastructure, promoting reliability and robustness in application workflows.

Maximize Marketing Impact with an AI-Driven Composable CDP powered by GrowthLoop and AWS: Organizations are turning towards composable CDPs for enhanced data activation strategies. GrowthLoop’s platform, when integrated with AWS, offers an AI-driven feedback loop that optimizes marketing campaigns. This integration enables businesses to better activate their data, enhancing customer engagement and driving meaningful marketing outcomes. By adopting a composable CDP approach, organizations can remain flexible while leveraging AI for smarter campaign execution.

Next-Generation Data Integration with AWS Data Services and Dataddo: Dataddo revolutionizes data integration on AWS with its user-friendly platform, which includes pre-built connectors and managed pipelines. This coding-optional interface suits both technical and non-technical users, simplifying data workflows and reducing the demand for engineering resources. The platform’s built-in quality and compliance features help streamline operations, allowing teams to focus on extracting valuable insights from their data, thus enhancing both business and data teams’ productivity.

Streamline Unified Data Governance with AWS Lake Formation and Dremio: Effective data governance is crucial for organizations building sizable data lakes on AWS. AWS Lake Formation provides granular access permissions for services such as Amazon Redshift and Athena. Dremio complements this framework by offering a consistent governance model, which assists enterprise customers in democratizing data access while maintaining security and compliance. This integrated approach simplifies governance, promoting efficient and secure data management.

Say Hello to 194 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in April: AWS announced the addition of 194 partners achieving new or renewed specializations across several programs. These partners are recognized for their expertise in various workloads, solutions, and industries. Such recognitions help AWS customers identify capable partners to fulfill their business objectives, ensuring they can leverage the full range of AWS advantages. This focus on partner success underscores AWS’s commitment to customer satisfaction and operational excellence.

How to Strengthen Cloud Security with Pulumi ESC and AWS Secrets Manager: Organizations often struggle with managing secrets across multiple environments, leading to security risks. Pulumi ESC offers a secure solution, acting as a broker between applications and secrets providers. This platform facilitates centralized control and robust RBAC, seamlessly integrating with AWS Secrets Manager. By enhancing security protocols without compromising developer productivity, Pulumi ESC helps organizations mitigate risks associated with secrets sprawl.

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Each article summary captures the core message and benefits of different AWS Partner Network topics, making it easier for businesses to understand the technological advancements and business values these solutions offer. This structured approach not only provides clarity but also emphasizes the potential impact and advantages of adopting these AWS-integrated solutions.

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AWS HPC Blog

Capacity Blocks for Machine Learning (CBML) offer a strategic advantage for organizations looking to optimize their machine learning workloads on AWS. By using CBML, businesses can reserve in-demand GPU-based EC2 instances ahead of time, ensuring resource availability for short-duration ML tasks. This foresight allows organizations to plan and budget their cloud resources effectively, avoiding the pitfalls of resource scarcity during critical project phases.

Leveraging AWS Batch for Efficient Resource Management

AWS Batch plays a vital role in the seamless execution of tasks that require CBML. With a continuously operational queue system, AWS Batch is always prepared to receive and process jobs, maximizing the utility of reserved instances. Organizations can precisely time the scaling of their capacity blocks, ensuring that the reserved instances are utilized as soon as they become available. This ensures efficient resource management and cost-effectiveness.

Maximizing Business Value with CBML and AWS Batch

For businesses aiming to harness the full potential of their machine learning applications, CBML combined with AWS Batch offers significant benefits. By ensuring that critical GPU resources are available precisely when needed, organizations can maintain a steady workflow and avoid delays. This aligns with business goals of agility and efficiency, enabling quicker time-to-market for ML-driven insights and solutions.

How KeyCore Can Assist

KeyCore offers expert guidance in implementing AWS Batch and CBML effectively. With deep knowledge of AWS services, KeyCore ensures that businesses can strategically reserve and deploy GPU resources to enhance their ML workloads. KeyCore’s consultancy services help organizations navigate the complexities of AWS Batch setup and capacity block management, while their managed services ensure ongoing optimization and support, driving superior performance in machine learning initiatives.

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AWS Cloud Operations Blog

Tracing ETL Workloads using AWS X-Ray and AWS Distro for OpenTelemetry

Data pipelines are crucial for businesses that rely on data insights to drive decisions. However, these pipelines can experience failures due to unexpected data formats in new files or datasets. Such failures can lead to downstream job interruptions, workflow issues, and delays in insights. Another challenge is managing variable data volumes, which can range from a few gigabytes to several terabytes.

AWS X-Ray and AWS Distro for OpenTelemetry provide a robust solution for tracing ETL workloads, helping identify where these failures occur. These tools give developers and system architects visibility into their data pipelines, enabling faster resolution of schema-related issues and better handling of fluctuating data volumes. By integrating these tools, companies can enhance their operational efficiency and reduce the time to derive insights, ultimately supporting more informed business decisions.

Introducing Just-in-time Node Access using AWS Systems Manager

AWS Systems Manager now offers just-in-time node access, a feature that enhances security and operational efficiency. This capability allows for dynamic, time-limited access to Amazon EC2 instances and other nodes managed by AWS Systems Manager, whether they are on-premises or in a multicloud environment.

Just-in-time node access uses a policy-based approval process, eliminating the need for long-standing access permissions. This reduces the risk of unauthorized access and aligns with best practices for minimizing the attack surface. Businesses can benefit from improved security posture and compliance with internal and external regulations, while still maintaining the flexibility required for modern IT operations.

Identifying Resources Driving Amazon CloudWatch GetMetricData Charges

Organizations often leverage third-party tools to extract CloudWatch metric data, which can lead to high GetMetricData API costs. This presents a challenge for cost optimization teams, who must pinpoint which resources are contributing to these increased charges.

Using AWS CloudTrail, businesses can trace API calls to specific resources or applications, allowing for targeted cost reduction strategies. By understanding where these costs originate, organizations can optimize their monitoring setups and allocate resources more effectively. This not only helps in controlling expenses but also ensures that monitoring and alerting systems remain efficient and cost-effective.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, can assist organizations in implementing these AWS solutions effectively. Our expertise in AWS X-Ray, AWS Distro for OpenTelemetry, and AWS Systems Manager enables businesses to enhance their data pipeline reliability and security. Additionally, our cost optimization services help identify and mitigate unnecessary expenses, ensuring that organizations get the best value from their AWS investments. Learn more about our offerings and how we can drive your cloud operations success at KeyCore.dk.

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AWS for Industries

Transforming Manufacturing: Insights from Hannover Messe 2025

Hannover Messe 2025 was a seminal event, marked by the participation of 127,000 visitors, 4,000 exhibitors, and 1,600 speakers. The focus was on the transformative impact of generative AI, automation, digitalization, and electrification on industrial innovation. Key discussions highlighted how these technologies are reshaping manufacturing processes, driving efficiency, and fostering innovation. AWS played a pivotal role, showcasing solutions that leverage AI and cloud technology to enhance manufacturing capabilities. By integrating AI-driven analytics and IoT, industries can optimize operations and reduce costs, setting a new benchmark for industrial transformation.

Enterprise Connectivity and Generative AI with Verizon and Amazon Bedrock

In today’s data-rich environments, enterprises face challenges with disparate data sources across hybrid cloud settings. The collaboration between Verizon and Amazon Bedrock seeks to tackle this by offering programmable and secure connectivity. This initiative is designed to enhance the extraction of meaningful insights through generative AI tools, facilitating seamless integration of data across distributed systems. By leveraging AWS’s secure cloud infrastructure and Verizon’s connectivity solutions, businesses can overcome data silos, enabling more efficient AI application deployment and data processing.

Networks for AI and AI for Networks: AWS and Orange’s Collaboration

The symbiotic relationship between telecom and cloud, termed “Networks for AI, AI for Networks,” was a focal point at the Mobile World Congress Barcelona 2025. AWS’s partnership with Orange seeks to harness this synergy to optimize network operations using AI while enhancing AI capabilities through improved network infrastructure. This collaboration underscores the potential of AI to not only drive innovation in telecom services but also to optimize network management and operational efficiency, thereby transforming the telecommunications landscape.

Modernizing Trading Workloads with AWS Outposts Racks

In the financial technology sector, milliseconds matter. AWS has introduced next-generation Outposts racks to meet the demands of high-frequency trading and real-time market data processing. These racks offer unparalleled performance and reliability, essential for complex financial transactions. By deploying these modern infrastructures, financial institutions can ensure fairness and transparency in trading while achieving operational excellence. AWS Outposts provides a robust platform for financial services, enabling rapid deployment, scalability, and compliance with regulatory standards.

Aligning Amazon Bedrock with NAIC AI Principles

Generative AI is revolutionizing the insurance industry, and Amazon Bedrock is ensuring alignment with the National Association of Insurance Commissioners (NAIC) AI Principles and Model Bulletin. This alignment ensures that insurers can adopt innovative AI strategies while adhering to regulatory requirements. By integrating Bedrock with NAIC guidelines, insurers can leverage AI for risk management, underwriting, and customer engagement, fostering a compliant and innovative environment.

Modernize 5G Networks with AWS Outposts

AWS’s second-generation Outposts racks are now available to support high-throughput, network-intensive workloads essential for 5G modernization. This offering equips Communication Service Providers (CSPs) with the tools needed to update their telecom infrastructure, enhancing connectivity and service delivery. With AWS Outposts, CSPs can achieve faster deployment, increased network efficiency, and improved customer experiences, vital for staying competitive in the rapidly evolving telecom industry.

Strengthening EHR Resilience with AWS Isolated Recovery Environments

In healthcare, protecting electronic health records (EHR) is critical. AWS is enhancing EHR resilience through Isolated Recovery Environments, providing a safeguard against outages from ransomware, natural disasters, or human error. This solution ensures that care delivery remains uninterrupted, safeguarding patient data and maintaining trust. By adopting AWS’s advanced recovery solutions, healthcare institutions can significantly reduce risks and enhance operational resilience, protecting critical healthcare infrastructure and patient care services.

How KeyCore Can Assist

KeyCore offers expert guidance and support in deploying AWS solutions across various industries. Whether it’s transforming manufacturing processes, optimizing telecom networks, or modernizing financial services infrastructure, KeyCore provides tailored AWS consultancy services that align with industry needs. Our team of AWS-certified experts is equipped to help businesses realize the full potential of AWS technologies, driving innovation and efficiency in alignment with regulatory standards. Visit KeyCore to learn how we can support your AWS journey.

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AWS Messaging & Targeting Blog

Defending Against SMS Pumping: New AWS Features to Help Combat Artificially Inflated Traffic

Understanding SMS Pumping

As businesses increasingly rely on SMS messaging to engage customers, they face the challenge of Artificially Inflated Traffic (AIT), also known as SMS pumping. AIT occurs when malicious actors send large volumes of SMS messages with the intent to exploit pricing models and drive up costs for businesses. This can significantly impact a company’s messaging budget and overall customer communication strategy.

Enhanced SMS Protect Features

AWS End User Messaging is addressing this issue by enhancing its SMS Protect feature. The new capabilities include automated message filtering based on the risk of AIT from each message request. By implementing these filters, businesses can more effectively manage their messaging traffic and reduce the likelihood of incurring unnecessary costs due to SMS pumping activities.

Technical Implementation

The automated filtering system leverages AWS’s robust infrastructure and AI capabilities to assess the risk associated with each SMS message request. It evaluates various parameters, such as message origin, volume, and frequency, to identify potential AIT activity. Once detected, the system can automatically block or flag suspicious messages, allowing businesses to maintain control over their communication channels.

Business Impact

For businesses utilizing SMS messaging, protecting against AIT is crucial to maintaining a healthy communication budget and ensuring reliable service delivery to customers. By employing AWS’s enhanced SMS Protect features, companies can safeguard their messaging operations against fraudulent activities and focus on delivering valuable content to their audience.

How KeyCore Can Help

KeyCore is well-equipped to assist businesses in implementing and optimizing AWS’s SMS Protect features. As a leading AWS consultancy in Denmark, KeyCore offers expert guidance on configuring automated filters and integrating them into existing messaging workflows. Our team can ensure that your business stays protected against AIT, allowing you to focus on providing exceptional customer experiences. To learn more about how KeyCore can support your messaging strategy, visit our website.

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AWS Marketplace

In a recent webinar, financial services organizations shared insights on transforming risk management using AWS Marketplace solutions. This exploration focused on how these organizations leverage advanced analytics to turn uncertainty into opportunity, demonstrating significant operational improvements and enhanced risk management capabilities.

Case Study 1: Enhanced Risk Prediction

The first case study highlighted a financial institution that implemented a predictive analytics solution from AWS Marketplace. By leveraging machine learning models, they were able to predict potential risks more accurately and respond proactively. This resulted in reduced financial losses and enhanced decision-making processes.

Case Study 2: Streamlining Compliance

Another organization showcased how they streamlined compliance operations using AWS Marketplace tools. These solutions helped automate the process of monitoring and reporting, ensuring regulatory adherence with increased efficiency. This not only saved time but also significantly reduced compliance-related costs.

Case Study 3: Real-Time Risk Assessment

The third case study discussed a company that adopted a real-time risk assessment platform from AWS Marketplace. This platform provided dynamic risk insights, enabling the organization to swiftly recognize and mitigate emerging threats. Such agility in risk management proved crucial in maintaining operational stability and resilience.

The overall takeaway from these case studies is that AWS Marketplace offers a diverse range of tools that can greatly enhance risk management strategies in the financial services sector. By leveraging these solutions, organizations can better navigate uncertainties and convert potential risks into opportunities for growth and innovation.

Financial institutions looking to enhance their risk management strategies can find significant value in AWS Marketplace’s offerings. From predictive analytics to real-time assessment platforms, these solutions provide the tools needed to improve risk-related decision-making and operational efficiency.

KeyCore, as Denmark’s leading AWS consultancy, is equipped to assist organizations in exploring and implementing these advanced solutions. Our expertise in AWS technology ensures that clients receive tailored advice and support to optimize their risk management frameworks, turning potential uncertainties into competitive advantages.

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

Recent advancements in AWS security, identity, and compliance have introduced innovative ways to enhance threat detection and data protection across platforms. These updates focus on leveraging AWS’s cutting-edge technologies to secure organizational data and streamline threat investigation processes.

Amazon Bedrock and Security Lake Integration

A new integration involving Amazon Bedrock and Amazon Security Lake provides a sophisticated approach to incident investigation. This technology leverages Amazon SageMaker Studio notebooks to facilitate threat hunting with natural language input. By utilizing SageMaker Studio, users can automatically generate and execute SQL queries on Amazon Athena, enhancing the efficiency and effectiveness of threat analysis.

In this integration, Amazon Bedrock powers chatbots that assist security teams in parsing through large datasets quickly. The interaction between Amazon Bedrock and Security Lake enables a streamlined process for identifying and mitigating potential security threats, providing organizations with a robust toolset for maintaining security posture.

Enhancing File Transfer Security with AWS Transfer Family and GuardDuty

Organizations often face challenges when sharing files with external partners, especially when these files are transferred over the internet. Public access to file transfer servers can expose sensitive data to threats, including the risk of malware infiltration. To address these concerns, AWS introduces a solution utilizing AWS Transfer Family in conjunction with GuardDuty.

This combination provides a secure method for file sharing by offering advanced threat detection capabilities. GuardDuty analyzes incoming files for malware, ensuring only safe content is accepted. This proactive approach helps organizations mitigate risks associated with file transfers while maintaining operational integrity.

These developments highlight AWS’s commitment to providing comprehensive security solutions. By integrating advanced technologies, AWS helps organizations safeguard their data while optimizing their threat management processes.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance and support to implement these solutions effectively within your organization. Whether integrating Amazon Bedrock with Security Lake for enhanced threat detection or securing file transfers with AWS Transfer Family and GuardDuty, KeyCore’s professional and managed services can tailor AWS solutions to your specific needs. Learn more about how KeyCore can empower your security strategies by visiting KeyCore’s website.

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Innovating in the Public Sector

Accelerating Software Development with Generative AI for the Public Sector

Generative AI is reshaping software development in the public sector by automating code generation, testing, and documentation. This innovative technology allows organizations to meet unique regulatory and operational requirements efficiently. Public sector entities can deliver projects on time and reduce costs by selecting secure and compliant generative AI solutions. This transformation relies on careful evaluation of AI coding solutions tailored to sector-specific needs.

Transforming Medicaid: Crafting a Robust Data Strategy with AWS

Medicaid agencies can enhance operational efficiency by ensuring leadership and staff have access to reliable data through a single platform. AWS offers architectural choices for implementing an operational data store (ODS), providing a unified data source. This approach helps streamline data management, supporting informed decision-making and improved service delivery within Medicaid agencies.

AI-Powered Coding Assistance with Amazon Bedrock

Modern software development now benefits from AI and large language models (LLMs), maximizing developer productivity. Using tools like Amazon Q Developer and Amazon Bedrock, organizations can integrate AI coding assistance directly into integrated development environments (IDEs). This enhances developers’ capabilities, allowing them to harness AI’s potential efficiently and securely in their coding tasks.

Quick Start with Wickr Enterprise Embedded Cluster

For organizations looking to deploy Wickr Enterprise, deployment guidance is available to facilitate quick capability testing. This guidance helps ensure a seamless setup process, allowing teams to focus on leveraging secure communication capabilities effectively.

Amazon’s Skills to Jobs Tech Alliance in the UK and Thailand

Amazon has launched the AWS Skills to Jobs Tech Alliance to prepare 100,000 UK learners with AI skills by 2030. Collaborating with education institutions, government leaders, and enterprises, the initiative aims to bridge skill gaps and support emerging technology adoption. Similarly, in Thailand, AWS is fostering digital workforce growth, having trained over 50,000 individuals in cloud skills since 2017. This program supports Thailand’s digital transformation goals.

Revolutionizing Accessibility in Federal Agency Communications

AWS is enhancing government communication accessibility for the visually impaired using serverless architectures. This solution automates document-to-speech conversion, ensuring federal agencies meet accessibility requirements. By leveraging AWS services, agencies can deliver critical information to citizens with visual impairments effectively.

Sri Lanka’s National Fuel Pass System: Tackling Economic Crisis with DPI

Digital Public Infrastructure (DPI) offers solutions for inclusive and secure digital capabilities nationwide. Sri Lanka’s National Fuel Pass system demonstrates how DPI can efficiently address economic challenges, providing citizens with essential services during crises.

Transforming Resident Outreach with AI

Deloitte’s Resident Outreach solution, available on AWS Marketplace, empowers state agencies to enhance resident communication. By utilizing generative AI on AWS, agencies can improve application processes, provide timely notifications, and manage communication campaigns effectively, enhancing overall resident engagement.

AI for Social Good: AWS Imagine for Nonprofits 2025 Conference

The AWS Imagine for Nonprofits 2025 conference gathered nonprofit and technology leaders to explore technology’s role in social good. Key announcements and insights were shared on leveraging technology to address societal challenges, reinforcing the importance of innovation in creating positive impacts.

New PDF Accessibility Remediation Solution

Ensuring digital content accessibility is crucial for public entities. AWS introduces an open-source, AI-driven solution for automating PDF remediation to comply with Web Content Accessibility Guidelines (WCAG) 2.1 standards. This innovation addresses accessibility challenges, facilitating inclusive access to digital documents.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in implementing AWS solutions tailored to public sector needs. From generative AI integration to data strategy development and accessibility enhancements, KeyCore provides end-to-end support for digital transformation initiatives. Partnering with KeyCore ensures secure, compliant, and efficient adoption of AWS technologies, maximizing operational efficiency and public service delivery.

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