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

In the week of Mon Mar 03 2025 AWS published 62 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

With the end-of-support (EOS) date for Windows 10 Enterprise set for October 14, 2025, administrators of end-user computing must plan migration strategies to Windows 11, especially for Amazon WorkSpaces Personal environments. It is crucial to navigate the migration process effectively to ensure continuity and access to critical updates and support.

Understanding Windows 11 BYOL Migration

The migration to Windows 11 for Amazon WorkSpaces Personal users involves a BYOL (Bring Your Own License) approach. This allows organizations to leverage their existing Windows licenses, providing a flexible and cost-effective path to upgrading their virtual desktop environments. The process begins with preparing existing Windows 10 environments for upgrade, which can include assessing application compatibility and ensuring all necessary patches and updates are applied to the current systems.

Technical Migration Considerations

IT teams must be attentive to hardware and software requirements specific to Windows 11 when planning the migration. This involves verifying the compatibility of existing setups with Windows 11 specifications, which includes checking for supported processors, RAM, and storage configurations. Additionally, it is important to review the management tools and policies currently in use to ensure they align with Windows 11 capabilities and security features.

Business Value of Migrating to Windows 11

Transitioning to Windows 11 presents an opportunity to enhance the security, performance, and user experience of Amazon WorkSpaces Personal environments. With improved security features such as Windows Hello and enhanced multi-factor authentication, organizations can safeguard their data more effectively. Moreover, the new user interface and productivity tools in Windows 11 can boost end-user satisfaction and efficiency.

How KeyCore Can Assist

KeyCore offers expert assistance in strategizing and implementing the Windows 10 to 11 migration for Amazon WorkSpaces Personal. Through our comprehensive consultancy services, we help assess existing environments, plan the transition, and execute the migration with minimal disruption to operations. Our managed services ensure ongoing support and optimization of the new Windows 11 WorkSpaces, enabling businesses to fully leverage the benefits of the upgraded platform.

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AWS DevOps & Developer Productivity Blog

Amazon Q Developer CLI Enhancements

Amazon has introduced an updated agent within the Amazon Q Developer Command Line Interface (CLI), designed to enhance the coding experience for developers. This new feature offers a dynamic, interactive environment where code can be iteratively modified based on user feedback, providing a more engaging development process. The updated agentic experience means developers can expect a seamless integration of their coding tasks within Amazon Q Developer, facilitating a more efficient workflow. The enhancements aim to make the development process not only faster but also more intuitive, aligning with the needs of developers for a responsive and adaptive coding tool.

Deploying Landing Zone Accelerator on AWS

The Landing Zone Accelerator (LZA) on AWS has become an essential tool for customers looking to establish a robust landing zone infrastructure while leveraging AWS Control Tower. AWS Professional Services has assisted numerous clients in deploying LZA, ensuring a configuration-driven and flexible solution that integrates seamlessly into existing workflows. A key focus has been on incorporating GitOps workflows into LZA configurations, reflecting a shift towards more automated, continuous deployment practices. By aligning LZA deployment with GitOps, organizations can achieve faster, more reliable updates to their AWS environments, enhancing overall operational efficiency and reducing the time to market for new features.

How KeyCore Can Assist

At KeyCore, our expertise in AWS services stands out in enabling businesses to optimize their development and deployment processes. With our deep understanding of Amazon Q Developer and Landing Zone Accelerator, we provide tailored consulting to help integrate these advanced tools into your existing workflows. Whether you’re looking to enhance your interactive coding experience or streamline your deployment strategy with LZA and GitOps, KeyCore’s professional and managed services offer the exact guidance and support needed. Our team ensures that you leverage AWS’s full potential, optimizing productivity and accelerating your cloud transformation journey.

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Official Machine Learning Blog of Amazon Web Services

Accelerating Insurance Policy Reviews with Generative AI: Verisk’s Mozart Companion

Verisk, a prominent player in the global insurance industry, has introduced the Mozart companion to revolutionize the insurance policy review process using generative AI. This innovative solution enhances operational efficiency, improves underwriting and claims outcomes, and aids in fraud prevention. By integrating advanced AI capabilities, Verisk empowers insurers to make more informed decisions regarding global risks. This collaborative effort between AWS and Verisk demonstrates the transformative potential of AI in the insurance industry, illustrating how AI can streamline complex processes and enhance decision-making accuracy.

Amazon Bedrock Knowledge Bases GraphRAG with Amazon Neptune Analytics

The general availability of Amazon Bedrock Knowledge Bases GraphRAG marks a significant advancement in retrieval-augmented generation (RAG) by leveraging graph data from Amazon Neptune Analytics. This integration enhances the ability to manage and utilize complex datasets, enabling organizations to derive more nuanced insights from their information. With GraphRAG, users can efficiently navigate and extract value from interconnected data points, enhancing both the accuracy and relevance of AI-generated responses. This capability is particularly beneficial for organizations seeking to optimize their knowledge management strategies.

Building a Multi-Agent System with LangGraph and Mistral on AWS

Utilizing LangGraph and Mistral models on Amazon Bedrock, AWS introduces a robust framework for developing multi-agent systems capable of sophisticated problem-solving. These AI agents collaborate to tackle complex issues, simulating human-like reasoning and cooperative behavior. By integrating these models, businesses can develop AI systems that address intricate workflows, enhancing operational efficiency and problem-solving capabilities across various domains. This approach underscores the potential of AI in mimicking collaborative human interactions for advanced problem-solving scenarios.

Evaluating RAG Responses with Amazon Bedrock, LlamaIndex, and RAGAS

This post delves into enhancing retrieval-augmented generation (RAG) implementations using Amazon Bedrock, LlamaIndex, and RAGAS. It provides practical methodologies for evaluating and optimizing AI systems, ensuring more accurate and context-aware responses. By aligning AI outputs with organizational needs, this approach improves the overall quality of AI interactions, paving the way for more reliable and relevant AI applications in business contexts.

BMW’s Generative AI Solution for Cloud Incident Analysis

BMW, in collaboration with AWS, harnesses generative AI to expedite the analysis of cloud incidents within their Connected Vehicle backend, serving 23 million vehicles globally. By integrating Amazon Bedrock Agents and Amazon CloudWatch, BMW significantly accelerates root cause analysis, enhancing the efficiency of incident responses. This innovative solution is a testament to how generative AI can optimize performance and reduce downtime in complex cloud-based systems, delivering substantial business value through improved operational resilience.

Time Series Forecasting with LLM-Based Models and Scalable AIOps on AWS

Integrating Chronos into Amazon SageMaker Pipeline, this post guides users through implementing a time series forecasting system using a synthetic dataset for sales predictions. This approach unlocks accurate and efficient forecasting with minimal data, illustrating the potential of large language models (LLMs) in enhancing predictive analytics. By leveraging scalable AIOps on AWS, organizations can achieve high-quality forecasting, driving better business outcomes and strategic planning.

Ground Truth Generation and Evaluation for Generative AI with FMEval

Utilizing Amazon SageMaker Clarify’s FMEval suite, AWS presents best practices for generating ground truth data in evaluating AI-driven question-answering systems. FMEval offers standardized metrics to assess AI quality and responsibility, providing a robust framework for organizations to ensure their AI systems meet high standards of performance and accountability. This approach is essential for enterprises aiming to deploy reliable and responsible AI solutions at scale.

Accelerating AWS Well-Architected Reviews with Generative AI

AWS introduces a generative AI solution to streamline the AWS Well-Architected Framework Review process. By leveraging Amazon Bedrock, this solution automates parts of the review, delivering insightful recommendations aligned with AWS best practices. This automation enhances efficiency, allowing solutions architects to conduct more thorough architectural assessments swiftly, thereby improving decision-making processes and architectural integrity.

Dynamic Metadata Filtering for Amazon Bedrock Knowledge Bases with LangChain

Amazon Bedrock Knowledge Bases now features dynamic metadata filtering, allowing users to refine search results based on document attributes. This capability improves retrieval accuracy and response relevance, integrating seamlessly with semantic or hybrid similarity searches. By enhancing search precision, organizations can significantly improve their knowledge management and retrieval systems, optimizing operational workflows and information access.

Customizing DeepSeek-R1 Distilled Models with Amazon SageMaker HyperPod Recipes – Part 1

In this two-part series, AWS explores simplifying DeepSeek model customization using pre-built fine-tuning workflows. The first part focuses on the DeepSeek-R1 Distill Qwen 7b model, demonstrating customization techniques that achieve impressive results on the Rouge scores. By leveraging SageMaker HyperPod and training jobs, organizations can efficiently tailor AI models to their specific needs, enhancing performance and applicability across various use cases.

Reducing Conversational AI Response Time with AWS Local Zones

Deploying open-source foundation models from Hugging Face on EC2 instances across AWS Regions and Local Zones, AWS showcases how reducing latency enhances real-time applications like conversational AI. By positioning models closer to end users, this approach minimizes response times, crucial for delivering seamless and effective AI interactions. Such optimization is vital for businesses prioritizing real-time customer engagement and operational efficiency.

Mistral AI Pixtral-12B-2409 on Amazon Bedrock Marketplace

This post explains how to utilize the Mistral AI Pixtral 12B model available on Amazon Bedrock Marketplace for various vision use cases. It guides users on discovering, deploying, and applying this model to real-world scenarios, emphasizing the versatility and power of AI in addressing diverse business challenges and opportunities.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in deploying and optimizing the latest AWS AI technologies. From enhancing insurance processes to accelerating cloud incident analysis, KeyCore provides tailored solutions that leverage AWS’s cutting-edge tools. Our team can assist in implementing Bedrock Knowledge Bases, optimizing multi-agent systems, and customizing models with SageMaker, ensuring your organization maximizes its AI potential. With KeyCore, businesses gain advanced insights and operational efficiencies, driving innovation and success in the digital age.

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Announcements, Updates, and Launches

Amazon GameLift Streams: Revolutionizing Game Streaming

Amazon GameLift Streams introduces a new managed capability for game developers, significantly enhancing game streaming experiences. This service enables developers to deliver high-quality gaming through web browsers on virtually any device, supporting 1080p/60fps gameplay. It offers flexible scaling options, ensuring seamless performance across different user demands. By utilizing Amazon GameLift Streams, developers can now reach a broader audience with consistent quality, reducing the complexity of infrastructure management.

AWS Heroes: March 2025 Inductees

The AWS community welcomes a new cohort of AWS Heroes for March 2025. These individuals have displayed exceptional expertise and innovation within the AWS ecosystem. Their commitment to sharing knowledge and supporting community development is commendable. Among the newly announced heroes is Ahmed Bebars, a Container Hero from New Jersey, USA. Each hero is celebrated for their contributions and serves as an inspiration for aspiring AWS professionals around the globe.

Amazon Bedrock Data Automation: Now Generally Available

Amazon Bedrock Data Automation is now generally available, offering a streamlined approach to extracting insights from unstructured multimodal content. This service simplifies the construction of intelligent document processing and media analysis solutions. Users can benefit from both standard and customized output configurations through blueprints, enhancing the efficiency and effectiveness of data analysis. This innovation allows businesses to derive actionable insights from diverse data types with ease.

AWS Weekly Roundup: Key Highlights

The AWS Weekly Roundup highlights significant updates, including the launch of Anthropic Claude 3.7 and events like JAWS Days. The return of AWS GenAI Lofts in cities such as San Francisco and Berlin offers startups and developers immersive experiences and collaborative spaces. These developments underscore AWS’s ongoing commitment to fostering innovation and providing valuable resources for the tech community. The roundup serves as a source of current trends and opportunities within the AWS ecosystem.

How KeyCore Can Assist

At KeyCore, the leading AWS consultancy in Denmark, we are equipped to help businesses leverage these new AWS capabilities. Whether you want to optimize game streaming with Amazon GameLift Streams, gain insights through Amazon Bedrock Data Automation, or engage with the AWS community, our team can provide expertise and guidance. We offer both professional and managed services tailored to your needs, ensuring you maximize the potential of AWS technologies.

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Containers

Explore the power of managing Amazon EBS volumes on Kubernetes with enhanced flexibility through the use of Volume Attributes Classes. This insightful post, co-authored by AWS experts Kevin Liu, Jens-Uwe Walther, and Drew Sirenko, delves into techniques that allow users to modify Amazon Elastic Block Store (Amazon EBS) volumes without experiencing application downtime. By leveraging the VolumeAttributesClass API and Amazon EBS Container Storage Interface, users can now achieve seamless storage scalability and improved efficiency in Kubernetes environments.

Key Features and Benefits

The discussed approach introduces a robust method to handle storage resources dynamically, enabling organizations to adapt to varying workloads with ease. Utilizing the VolumeAttributesClass API, businesses can fine-tune volume parameters, such as IOPS and throughput, directly through Kubernetes, ensuring optimal performance aligned with specific application requirements. This capability not only minimizes disruptions during scaling operations but also enhances overall system resilience and agility.

Business Value

By integrating these techniques, enterprises can achieve significant operational efficiencies and cost optimization. The ability to adjust storage attributes dynamically ensures resources are being used effectively, reducing waste and improving ROI on cloud investments. This flexibility is particularly valuable for businesses experiencing fluctuating demand or those transitioning to cloud-native architectures.

In another insightful piece, AWS experts Praseeda Sathaye, AJ Davis, and Arvind Viswanathan discuss the evolving landscape of containerized applications and the challenges of maintaining resilience and observability in Kubernetes environments. With the end of support notifications for Amazon EKS, organizations must stay prepared for changes and leverage enhanced discoverability tools to ensure seamless transitions and maintain service integrity.

Enhancements in EKS Management

To address these challenges, AWS provides robust management tools that allow for better visibility and proactive resource management in Amazon EKS environments. Enhanced discoverability features empower businesses to anticipate changes, plan upgrades, and maintain compliance with evolving standards, thus ensuring their applications remain resilient and secure.

Transformative Impact

Adapting to these support changes and leveraging new tools can empower organizations to maintain a competitive edge in the fast-paced container landscape. By utilizing enhanced observability and management capabilities, companies can ensure consistent performance and uptime, driving customer satisfaction and trust.

Finally, AWS announces its participation in KubeCon + CloudNativeCon Europe 2025, showcasing the latest innovations in Kubernetes. Scheduled to be held in London, this event presents a unique opportunity for businesses to engage with AWS experts and other industry leaders to explore solutions that simplify Kubernetes operations.

Engagement Opportunities

Visitors to the AWS booth can experience hands-on demonstrations of cutting-edge AWS solutions designed to optimize Kubernetes deployments. These innovations aim to streamline operations, improve scalability, and enhance security, helping organizations effectively transform their business practices with cloud-native solutions.

Innovative Advancements

The KubeCon + CloudNativeCon Europe 2025 event is a prestigious platform for AWS to exhibit its commitment to advancing the container ecosystem. This engagement underscores AWS’s dedication to empowering businesses with innovative tools and services that drive digital transformation and operational excellence.

KeyCore, as a leading AWS consultancy in Denmark, assists organizations in harnessing these advanced AWS solutions for containerized applications. With expertise in both professional and managed services, KeyCore is well-positioned to guide businesses through effective implementation strategies, ensuring optimal integration of Kubernetes and AWS technologies. Learn more about KeyCore’s offerings at www.keycore.dk.

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AWS Quantum Technologies Blog

Amazon Braket offers an integrated platform to access quantum computing resources, enabling the development and execution of quantum algorithms. It supports a variety of quantum circuit simulators and real quantum hardware technologies. With Amazon Braket, users can leverage its fully managed notebook instances, which come pre-installed with essential quantum development frameworks, such as the Amazon Braket SDK.

Running CUDA-Q Programs on Amazon Braket

Amazon Braket’s integration with CUDA-Q allows users to run quantum programs efficiently. CUDA-Q, designed by NVIDIA, is a platform for quantum computing which enables developers to create and execute quantum algorithms using NVIDIA’s accelerated computing technology. The combination of CUDA-Q with Amazon Braket’s notebook instances provides a robust environment for developing, testing, and deploying quantum algorithms.

Developing Quantum Algorithms

Amazon Braket notebook instances facilitate the development of quantum algorithms by providing access to a wide array of tools and libraries. These instances support multiple quantum development frameworks, allowing developers to write and test complex algorithms with ease. By utilizing the Amazon Braket SDK, developers can simulate quantum circuits and experiment with different quantum hardware options available on the platform.

Business Value

The integration of CUDA-Q with Amazon Braket empowers businesses to explore quantum computing solutions more effectively. By providing scalable and flexible quantum resources, Amazon Braket accelerates innovation in fields such as cryptography, optimization, and machine learning. Businesses can experiment with advanced quantum algorithms without the need for extensive infrastructure investments.

How KeyCore Can Help

KeyCore offers expert guidance and support for businesses looking to leverage quantum computing with Amazon Braket. Our team of AWS specialists can help clients navigate the complexities of quantum algorithm development, optimization, and deployment. With our deep understanding of AWS services and quantum technologies, KeyCore ensures that businesses can unlock the full potential of quantum computing to drive innovation and gain a competitive edge.

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Official Database Blog of Amazon Web Services

In today’s cloud-driven world, effective data management is pivotal for organizations leveraging AWS services. The blog posts from the Official Database Blog of Amazon Web Services provide insights into advanced database management techniques, focusing on Amazon RDS and Amazon Aurora.

Long-term Backup Strategies for Amazon RDS and Amazon Aurora

Ensuring data is securely backed up over extended periods is crucial for business continuity and compliance. This article outlines various strategies for long-term data backups using Amazon RDS and Amazon Aurora. Key methods include leveraging Amazon RDS snapshots, AWS Backup, and cross-region replication. Each strategy offers different levels of data retention, recovery point objectives, and cost implications. Implementing these strategies requires understanding their integration with AWS services, ensuring data availability, and optimizing storage costs while maintaining compliance with industry standards.

Automate Credential Rotation with AWS Secrets Manager

Managing credentials efficiently is vital for maintaining security in cloud environments. The article discusses automating Amazon RDS credential rotation using AWS Secrets Manager, especially for primary instances with read replicas. The challenge here is the inability to create new read replicas for database instances managed by Secrets Manager, except for Amazon RDS for SQL Server. The presented solution automates password rotation for primary instances with read replicas, balancing the need for scalable read operations and secure credential management. This approach enhances operational efficiency without compromising security practices.

Configuring Kerberos Authentication for Amazon RDS for SQL Server

Secure authentication is a priority for organizations using SQL Server databases. This article delves into configuring Kerberos authentication for Amazon RDS for SQL Server when connected to a self-managed Active Directory. The process enhances security beyond the default NTLM protocol, offering improved authentication mechanisms. Key steps include setting up service principal names (SPNs), adding user principal name (UPN) suffixes, and automating SPN updates to handle database instance failovers and host replacements. This configuration allows organizations to maintain robust security standards while enjoying the benefits of AWS-managed database services.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy, provides specialized services to implement these advanced database solutions. Their expertise in AWS technologies ensures that businesses can efficiently manage backups, automate credential rotation, and configure secure authentication mechanisms. By partnering with KeyCore, organizations can optimize their AWS database environments for both performance and security, ensuring seamless operations and compliance with industry standards.

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AWS for Games Blog

Jackbox Games Expands with Amazon GameLift Streams

Jackbox Games, a renowned game studio based in Chicago, is celebrated for its diverse lineup of engaging party games, including hits like Quiplash, Fibbage, Drawful, and Trivia Murder Party. With a growing catalog of 50 games, Jackbox Games provides entertainment options for a wide audience, featuring drawing games, trivia challenges, hidden identity games, and more.

To enhance its gaming experience and unlock new opportunities, Jackbox Games has integrated Amazon GameLift Streams into its infrastructure. Amazon GameLift is a fully managed service that allows game developers to deploy, operate, and scale dedicated game servers for multiplayer games. The integration of GameLift Streams enables Jackbox Games to enhance its live gaming experiences by providing seamless, scalable streaming services to its players worldwide.

This integration not only improves the quality of service delivered to players but also reduces latency and optimizes server management. By leveraging the capabilities of Amazon GameLift, Jackbox Games can focus more on game development and less on the complexities of server infrastructure, ensuring a high-quality and uninterrupted gaming experience for its users.

Furthermore, the adoption of Amazon GameLift Streams allows Jackbox Games to explore new business models, such as live game streaming events and interactive gaming sessions, providing unique and engaging experiences for its audience. This strategic move positions Jackbox Games to better cater to its global fanbase and keep up with the evolving demands of the gaming industry.

How KeyCore Can Assist

KeyCore can assist game studios like Jackbox Games by offering expertise in integrating AWS services such as Amazon GameLift. With a team of experienced AWS professionals, KeyCore can provide tailored solutions to optimize game server management, enhance live streaming capabilities, and reduce latency. Whether through professional services or managed services, KeyCore helps gaming companies leverage the full potential of AWS to deliver superior gaming experiences and explore new revenue streams.

By partnering with KeyCore, game studios can ensure their infrastructure is resilient, scalable, and efficient, allowing them to focus on innovation and player satisfaction. Discover how KeyCore can transform your gaming operations by visiting our website.

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AWS Training and Certification Blog

Bridging the AI Skills Gap for Women

In the fast-evolving world of artificial intelligence, women are showing a remarkable interest in generative AI, yet often find themselves lacking access to the necessary training resources. Recent research highlights this trend, emphasizing the need for more tailored educational pathways to support women in tech and business. AWS offers a variety of training resources designed to bridge this skills gap. These include online courses, webinars, and hands-on labs specifically aimed at enhancing AI competencies. By engaging with these resources, women can empower themselves to advance their careers in AI-related fields, unlocking new professional opportunities.

Key Learning Pathways

For women eager to dive into AI, understanding the common learning pathways is crucial. AWS provides structured educational tracks that cater to different levels of expertise. Whether starting with the basics or seeking advanced AI knowledge, AWS’s training ecosystem includes foundational courses, specialized AI and machine learning workshops, and opportunities for certification. These programs are designed to equip women with the skills needed to succeed in AI, thereby fostering greater diversity in the technology sector.

Game Development Training with AWS

Game developers face a unique challenge: the need to enhance their cloud skills without sacrificing focus on the creative aspects of game design. AWS addresses this by curating a comprehensive suite of training resources specifically for game developers. These resources range from beginner-friendly courses to advanced workshops and include industry-recognized certifications. This structured approach allows developers to build cloud expertise at their own pace, ensuring they stay at the forefront of both technology and creativity in game development.

Pathways to Cloud Expertise

To help game developers build robust cloud skills, AWS offers an array of training options. Foundational courses introduce the basics of AWS cloud services, while hands-on workshops provide practical experience in deploying game environments. For those seeking validation of their skills, certifications such as the AWS Certified Solutions Architect are available. This multifaceted training approach ensures that game developers can seamlessly integrate cloud technologies into their workflows, enhancing both their technical and creative capabilities.

How KeyCore Can Assist

At KeyCore, we understand the importance of equipping professionals with the right skills to thrive in their respective fields. Our team can provide tailored AWS training solutions designed to meet the specific needs of women in AI and game developers. By leveraging our expertise, clients can access the resources and guidance necessary to advance their careers and stay competitive. Whether it’s through personalized training plans or hands-on workshops, KeyCore is committed to supporting our clients every step of the way.

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Microsoft Workloads on AWS

Ola Hallengren’s SQL Server Maintenance Solution is a powerful tool for managing SQL Server backups and maintenance tasks within AWS environments. This solution is particularly valuable for businesses looking to efficiently manage their database maintenance on AWS infrastructure, including Amazon RDS for SQL Server.

Streamlining Database Backups

One of the key advantages of Ola Hallengren’s solution is its ability to perform native backups directly to Amazon S3. This approach not only simplifies the backup process but also ensures that data is securely stored in a scalable, durable storage solution. By leveraging Amazon S3, businesses can benefit from the flexible storage options and reduced costs associated with cloud-based backups.

Support for Amazon RDS for SQL Server

For organizations utilizing Amazon RDS for SQL Server, Ola Hallengren’s SQL Server Maintenance Solution offers comprehensive support. The scripts can be easily integrated into RDS instances, facilitating automated maintenance tasks such as integrity checks and index optimization. This integration helps maintain optimal database performance while reducing the manual effort typically involved in such operations.

Benefits of Using Ola Hallengren’s Solution

Implementing Ola Hallengren’s solution in an AWS environment brings numerous benefits, including increased operational efficiency and reduced risk of data loss. The automation of routine maintenance tasks allows database administrators to focus on more strategic activities, improving overall productivity. Additionally, the cloud-based backup storage provides businesses with a reliable disaster recovery option, ensuring business continuity.

How KeyCore Can Help

KeyCore provides expert guidance and support for organizations looking to implement Ola Hallengren’s SQL Server Maintenance Solution on AWS. With deep expertise in AWS services and SQL Server management, KeyCore can assist in configuring and optimizing maintenance scripts for your specific business needs. Whether you are launching a new project or optimizing existing infrastructure, KeyCore can help ensure your database environments are robust, secure, and cost-efficient.

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Official Big Data Blog of Amazon Web Services

Amazon Web Services (AWS) continually innovates to enhance the capabilities of its Big Data offerings. Below is a summary of the latest features and tools that AWS has introduced, aimed at boosting performance, security, and collaboration in data management and analysis.

Express Brokers for Amazon MSK: Faster Kafka Scaling

Amazon MSK Express brokers represent a significant leap forward in scaling Kafka workloads efficiently. These brokers offer up to 20 times faster performance, allowing enterprises to manage data streams more effectively. By implementing MSK Express brokers, users can experience rapid Kafka scaling, ensuring that data processing remains smooth and resilient under high demand.

Key features include optimized throughput and lower latency, which enable organizations to handle larger data volumes with ease. Best practices for deploying these brokers emphasize strategic partition management and the use of broker metrics to monitor performance.

Secure Data Visualization with Amazon Redshift and AWS IAM Identity Center

Enhancing data security while enabling robust data visualization, AWS has introduced support for single sign-on (SSO) with the Amazon Redshift Data API. This integration leverages AWS IAM Identity Center to streamline user access, providing row-level and column-level security through Redshift RBAC.

The implementation through Streamlit allows businesses to create secure, role-based access applications. This setup simplifies user management and enhances security, ensuring that organizations can make data-driven decisions without compromising on data protection.

Cross-Account Data Collaboration with Amazon DataZone

Amazon DataZone facilitates seamless data collaboration across different AWS accounts. This tool enables organizations to break down data silos, ensuring that teams can access and work with the necessary data without security risks.

By leveraging AWS’s analytical tools, users can perform cross-account data analysis efficiently. This capability is crucial for businesses that require collaborative data insights across different departments or even partners, enhancing overall operational efficiency.

Enhanced Capabilities of Amazon OpenSearch Service

As of 2025, Amazon OpenSearch Service now supports OpenSearch 2.17, bringing a host of improvements to users. These enhancements include better cost management, reduced latency, and improved accuracy in search results and generated text, which are vital for businesses relying on search-based applications.

The 2024 innovations in OpenSearch Service have paved the way for these updates, making it easier for enterprises to adopt new features that optimize their search and data retrieval processes, ultimately supporting more efficient decision-making.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, offers expert guidance and support in implementing these advanced AWS features. Whether it’s optimizing Kafka streaming with MSK Express brokers, securing data access with Amazon Redshift, facilitating cross-account collaboration with Amazon DataZone, or enhancing search capabilities with OpenSearch, KeyCore’s team is equipped to help businesses leverage AWS’s full potential.

Our professional and managed services ensure that your organization can harness these technologies efficiently, aligning with your strategic objectives for data management and analytics. Visit KeyCore’s website to learn more about how we can assist your AWS endeavors.

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Networking & Content Delivery

The AWS WAF Bot Control rule group is a powerful tool designed to detect and manage various bot threats. These threats range from common, easily identifiable bots to more sophisticated, coordinated targeted bots that evade detection by operating across multiple hosts. The Bot Control rule group provides the functionality to handle these threats effectively and adaptively.

Understanding AWS WAF Bot Control for Targeted Bots

AWS WAF Bot Control is equipped to address a wide spectrum of bot threats. The rules within the Bot Control rule group allow organizations to distinguish between benign and malicious bot traffic. This control is crucial for maintaining the integrity and security of web applications. Targeted bots, which are often part of a coordinated attack, can be especially challenging to manage as they evade detection by using multiple hosts to mask their activity.

Mitigating Evasive Bots with Adaptive User Experience

The AWS WAF Bot Control rule group is not just about detection; it also focuses on mitigation. By analyzing bot behavior patterns, these controls can adaptively adjust to mitigate threats without impacting legitimate user experience. This dynamic approach helps ensure that user access to applications remains seamless while security measures are enhanced. The adaptability of these controls is key to handling the evolving tactics of evasive bots.

How KeyCore Can Help

At KeyCore, we specialize in leveraging AWS technologies to enhance security and performance for our clients. Our team can assist in implementing and customizing AWS WAF Bot Control rule groups to meet specific security needs. With our expertise, businesses can protect their web applications from sophisticated bot threats while maintaining an optimal user experience. Whether through our professional services or managed services, KeyCore ensures that AWS solutions are tailored to deliver maximum business value.

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AWS Compute Blog

Enhanced Local IDE Experience for AWS Step Functions

AWS Step Functions has unveiled an enhanced local Integrated Development Environment (IDE) experience aimed at simplifying the process of building state machines. This improvement features the integration of Workflow Studio into Visual Studio Code (VS Code) via the AWS Toolkit extension. This new capability allows developers to author and edit state machines directly within their local environment, enabling a more seamless and efficient workflow.

The integration with VS Code provides developers with a robust set of tools to manage and configure state machines. By leveraging familiar local IDE features, such as syntax highlighting and code completion, development teams can now create more complex workflows with increased productivity and reduced errors. This development represents a significant boost for teams looking to streamline their development processes and optimize their use of AWS Step Functions.

Seamless On-Premises Connectivity with AWS Outposts

AWS Outposts extends AWS infrastructure and services to on-premises environments, offering a truly hybrid cloud experience. This capability enables users to deploy native AWS services within their own data centers, co-location spaces, or other on-premises facilities. However, deploying AWS Outposts servers requires careful consideration of local network connectivity to ensure optimal performance.

The AWS Outposts servers provide a consistent and reliable environment that extends the power of Amazon Elastic Compute Cloud (EC2) and other AWS services to on-premises locations. By implementing AWS Outposts, businesses can maintain a consistent operational model across cloud and on-premises environments. This consistency streamlines operations and ensures that enterprises can leverage the full capabilities of AWS wherever they need them. This is particularly valuable for industries that require low-latency access to data and services or have specific regulatory and compliance requirements.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, offers the expertise required to leverage these powerful AWS services effectively. Whether enhancing local IDE experiences with AWS Step Functions or deploying AWS Outposts for seamless on-premises connectivity, KeyCore’s team of skilled professionals is ready to assist. KeyCore provides tailored solutions that align with business objectives, ensuring that organizations maximize the benefits of AWS capabilities. By partnering with KeyCore, businesses can confidently navigate their AWS cloud journey, optimize their infrastructure, and improve their operational efficiency.

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AWS for M&E Blog

Expanding the Reach of Live Video with Captions

Delivering live event subtitles is a complex task, particularly when it involves translating into multiple languages simultaneously. CaptionHub Live on AWS provides a sophisticated solution to this challenge by offering high accuracy and low latency in real-time subtitling services. The system ensures that subtitles are synchronized precisely with the audio, without disrupting the broadcast stream.

Challenges with Traditional Solutions

Traditional subtitling solutions often prove to be expensive and difficult to manage. They may deliver less than optimal results, leading to a compromised viewer experience. In contrast, CaptionHub Live leverages AWS services to overcome these issues, ensuring a seamless and cost-effective subtitling process.

How CaptionHub Live Works

By utilizing AWS’s robust cloud infrastructure, CaptionHub Live can scale dynamically to handle the demands of live broadcasting. It integrates cutting-edge machine learning models to enhance the accuracy of translations and timing. This technological backbone allows broadcasters to provide a more inclusive viewing experience, reaching audiences who speak different languages.

KeyCore’s Expertise

At KeyCore, we specialize in implementing advanced AWS solutions like CaptionHub Live. Our team can help media enterprises deploy and optimize these services, ensuring seamless integration with existing broadcast workflows. By leveraging our expertise, businesses can enhance their live streaming capabilities, expand their audience reach, and improve viewer engagement with multilingual subtitling.

For more information on how KeyCore can assist in integrating AWS solutions for media and entertainment, visit our website.

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AWS Storage Blog

In today’s fast-paced business environment, harnessing the power of real-time data is crucial for staying competitive. Companies in sectors like retail, finance, manufacturing, and smart cities are leveraging streaming data to enhance decision-making processes. By utilizing real-time data, these industries can optimize supply chains, detect fraudulent activities, and improve urban planning. The integration of Amazon S3 Tables and Amazon Kinesis Data Firehose offers a powerful solution for building a data lake that supports real-time data processing.

Real-Time Data Processing with Amazon S3 and Kinesis Data Firehose

Amazon S3 Tables provide an efficient way to organize data within a data lake, enabling seamless integration with various AWS services. By coupling Amazon S3 Tables with Amazon Kinesis Data Firehose, businesses can ingest, transform, and deliver streaming data to their data lake in real-time. This integration offers the flexibility to choose the optimal format for data storage, ensuring compatibility with analytics tools and applications.

Business Advantages of Real-Time Streaming Data

Implementing a data lake with Amazon S3 and Kinesis Data Firehose empowers businesses to make informed decisions swiftly. Real-time data processing helps companies respond to market changes, improve customer experiences, and maintain operational efficiency. For instance, retail businesses can optimize inventory levels, while financial institutions can implement stringent fraud detection mechanisms. Furthermore, smart cities can utilize streaming data for effective urban planning and resource management.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, offers expert services to help businesses implement real-time data processing solutions. With a deep understanding of AWS technologies, KeyCore provides guidance on setting up data lakes using Amazon S3 Tables and Kinesis Data Firehose. KeyCore’s team can assist in designing scalable data architectures, optimizing data workflows, and ensuring data security and compliance. Whether seeking professional or managed services, KeyCore is equipped to meet the complex needs of businesses aiming to leverage streaming data effectively.

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AWS Developer Tools Blog

In a two-part series on building and debugging .NET Lambda applications with .NET Aspire, AWS Developer Tools Blog explores the integration of AWS resources and best practices for .NET developers. This comprehensive guide is aimed at enhancing the developer experience by leveraging AWS integrations, and it’s broken down into two distinct sections for clarity and ease of understanding.

Introduction to .NET Aspire and AWS Lambda

In the first part, the series introduces .NET Aspire and its role in integrating AWS services into the .NET development cycle. This integration allows developers to seamlessly provision application resources using AWS CloudFormation or the AWS Cloud Development Kit (AWS CDK). Furthermore, developers can utilize Amazon DynamoDB local for streamlined application development. The emphasis here is on creating a smooth and efficient developer experience by embedding AWS functionality directly into the .NET environment, thereby reducing the need for manual configuration and management of cloud resources.

Utilizing .NET Aspire for Best Practices

The second part of the series delves deeper into the .NET Aspire programming model, focusing on best practices and the connection to dependent resources. It provides guidance on how .NET Aspire can be used not just for development, but also for debugging .NET Lambda functions effectively. The blog post highlights techniques for optimizing application performance and reliability, as well as strategies for managing dependencies within AWS environments to ensure solutions are robust and scalable. By following these best practices, developers can improve both the quality and maintainability of their Lambda functions.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, is perfectly positioned to assist businesses in implementing these strategies. With expertise in AWS integrations and .NET application development, KeyCore can provide tailored solutions that leverage .NET Aspire and AWS Lambda to build efficient, scalable, and maintainable applications. Whether it’s through professional services or managed services, KeyCore offers comprehensive support to help organizations fully realize the potential of their AWS infrastructure.

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AWS Architecture Blog

Amazon SageMaker Canvas offers a user-friendly, no-code/low-code solution for building machine learning models, particularly useful for business analysts and domain experts who may not have extensive ML expertise. This blog post explores how this tool can be leveraged to craft a fraud-detection model specifically tailored for interactive voice response (IVR) systems in call centers. The process involves using the power of machine learning (ML) to enhance security measures and reduce fraud incidents effectively.

Building the Fraud Detection Model

The article details the step-by-step approach to creating a fraud-detection model with Amazon SageMaker Canvas. Initially, it guides users through data preparation, which is a crucial step for any ML project. By importing relevant historical call data, users can start defining patterns and features that signify fraudulent activities.

Amazon SageMaker Canvas simplifies the model-building phase by allowing users to select a target variable, such as fraudulent or legitimate call, and apply various ML algorithms without writing code. The tool provides an intuitive interface to train the model and iteratively improve its accuracy based on performance metrics.

Deploying and Utilizing the Model

After training, the model is ready for deployment. The blog explains how to integrate this fraud-detection model into existing IVR systems to monitor calls in real-time. This integration allows call centers to automatically flag suspicious activities and take proactive measures to prevent fraud.

Amazon SageMaker Canvas supports easy deployment, ensuring that the model can be utilized effectively without extensive IT infrastructure changes. This capability empowers businesses to enhance their fraud detection mechanisms rapidly and at scale.

Business Value and KeyCore’s Role

Implementing a robust fraud detection system in call centers not only secures customer interactions but also increases trust and credibility. By reducing fraud incidents, companies can safeguard their brand reputation and avoid financial losses.

KeyCore is well-positioned to assist organizations in adopting these advanced ML solutions. With extensive AWS expertise, KeyCore can guide the process from initial setup to full deployment, ensuring the model’s maximum effectiveness and alignment with business goals. Leveraging KeyCore’s managed services, businesses can maintain and update their ML models, keeping their fraud detection capabilities at the forefront of technological advancements.

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AWS Partner Network (APN) Blog

Capgemini and AWS have jointly developed a pioneering generative AI solution called TELme, aimed at transforming product research and design within the manufacturing sector. TELme empowers engineers by allowing them to perform efficient searches and summarize extensive repositories of technical content using natural language queries. This innovative approach significantly shortens design lifecycle timelines and accelerates the time-to-market for new products. By utilizing TELme, manufacturers can streamline their processes and enhance productivity, ultimately leading to a competitive advantage in the industry.

With the increasing stringency of global data privacy regulations, organizations are under pressure to improve the security of sensitive data stored in the cloud. Tokenization emerges as a vital security measure, replacing sensitive data with cryptographically generated, non-sensitive identifiers. Thales’ CipherTrust Tokenization Solution on AWS provides a robust framework, helping organizations achieve PCI-DSS compliance while safeguarding sensitive payment data. This advanced solution ensures that businesses can protect customer information and maintain regulatory standards, thereby fostering trust and reliability.

Recent research conducted by AWS reveals a strong trend towards the deployment of generative AI solutions, with over 90% of surveyed customers expressing plans to engage AWS Partners in the next three years. The study, encompassing over 1,000 respondents from 24 industries, provides valuable insights into the patterns of customer adoption, buying journeys, and strategic priorities in the dynamic generative AI landscape. This data underscores the significant opportunities available for AWS Partners to support and guide customers through their generative AI implementation journey, aligning with evolving market demands and technological advancements.

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AWS Cloud Enterprise Strategy Blog

In the fast-paced world of software development, teams frequently grapple with the challenge of delivering features promptly to meet business and customer expectations. A recent study by Boston Consulting Group (BCG) highlighted that over one-third of internal software development projects are delayed. Such delays can significantly impact return on investment (ROI) and lead to widespread frustration among stakeholders. One pivotal challenge in accelerating software delivery is the management of work in progress (WIP).

Challenges in Software Delivery

Software development projects often face hurdles that slow down progress, such as dependency conflicts, resource bottlenecks, and changing requirements. These challenges contribute to projects running behind schedule, which in turn postpones the anticipated ROI. Stakeholders, from developers to business leaders, often experience frustration due to these delays, which can hinder overall productivity and innovation.

The Role of Limiting Work in Progress

One effective strategy for enhancing software delivery speed is limiting work in progress. By reducing the number of concurrent tasks, development teams can increase focus and improve task completion rates. This approach minimizes context switching, allowing team members to concentrate on fewer tasks at a time, thereby increasing efficiency and output quality.

Business Impact of Faster Delivery

Delivering software features more rapidly has a profound impact on business operations. Faster delivery can lead to quicker realization of ROI, improved customer satisfaction, and a stronger competitive edge in the market. Moreover, by optimizing development processes to limit WIP, organizations can better manage resources and reduce overhead costs associated with prolonged development cycles.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, is well-equipped to help organizations implement strategies to enhance their software delivery processes. By leveraging AWS tools and best practices, KeyCore can assist in effectively managing work in progress, optimizing resource utilization, and accelerating feature delivery. Our expertise in AWS can empower your team to overcome common development bottlenecks, ensuring that your projects meet both timelines and business objectives efficiently.

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AWS HPC Blog

Enhancing equity strategy backtesting is crucial for developing robust investment strategies. However, solely relying on historical data can introduce biases and limit insights into future market scenarios. This two-part series explores how synthetic data generated from agent-based models can serve as an unbiased testbed for evaluating investment strategies.

Theoretical Foundations

Part one of the series delves into the theoretical foundations of using synthetic data for backtesting. Traditional backtesting approaches often depend on historical data, which may not accurately reflect future market conditions. By employing agent-based models, financial analysts can simulate a variety of market scenarios and interactions among different market agents, creating a comprehensive and flexible environment for testing strategies. These models not only reduce reliance on historical datasets but also enable the exploration of various hypothetical situations, offering a broader perspective on potential strategy performance.

Implementation Details and Results

Part two focuses on the practical implementation of agent-based models and the evaluation of results. This section outlines the steps for building and deploying these models, showcasing how they can be integrated into existing backtesting frameworks. By using AWS infrastructure, such as EC2 instances optimized for high-performance computing, users can efficiently run complex simulations at scale. The outcome of these simulations provides invaluable insights, allowing financial analysts to refine their strategies based on synthetic data outputs, which reflect diverse market conditions and reduce the biases inherent in historical data analysis.

Business Value and KeyCore’s Expertise

The application of synthetic data through agent-based models in equity strategy backtesting offers substantial business value. By enhancing the accuracy of strategy testing, businesses can make more informed decisions, optimize performance, and better prepare for future market dynamics. KeyCore brings deep expertise in AWS High-Performance Computing (HPC) solutions, assisting businesses in leveraging AWS services to deploy and manage complex simulations efficiently. Our professional and managed services ensure seamless integration of these advanced techniques into your investment strategy development, maximizing the potential of AWS technologies to drive business success.

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AWS for Industries

Power Utility Monitoring and Maintenance with AWS IoT and SAP Integration

The growing consumption of electricity, especially due to electric vehicles (EVs), presents several challenges for power utilities. These include substantial costs and long planning timelines for infrastructure upgrades, grid stability issues from EV charging demand fluctuations, and the intermittent nature of renewable energy sources. Utilizing AWS IoT and integrating with SAP, power utilities can enhance utility asset management and maintenance. This integration allows for improved monitoring and more efficient maintenance scheduling, ensuring a stable and reliable power grid that can meet modern demands.

Accelerating Fraud Detection in Financial Services with NVIDIA RAPIDS™ Accelerator

Financial institutions face an increasing challenge in combating transaction fraud, which is projected to surpass $326 billion from 2023 to 2028. A significant portion of these fraud losses comes from remote purchases of physical goods. Traditional CPU-based systems rely on sequential processing, leading to higher operational costs and inefficiencies. By leveraging the NVIDIA RAPIDS™ Accelerator for Apache Spark on AWS, financial services can achieve accelerated fraud detection. This modern approach harnesses parallel processing capabilities, boosting the speed and accuracy of identifying fraudulent transactions, ultimately saving costs and protecting consumer interests.

Extending Factory Edge Data to the Cloud with AWS IoT SiteWise Gateways

The general availability of MQTT-enabled SiteWise Edge gateways for AWS IoT SiteWise marks a significant advancement for industrial data management. This functionality facilitates a unified data management strategy, essential for timely decision-making and continuous process optimization. Factories often contain a diverse array of legacy and modern equipment. Integrating these data streams into AWS IoT SiteWise empowers organizations to optimize their operations by gaining insights from real-time data, which enhances productivity and reliability across industrial processes.

Five Critical Technology Trends for Retailers in 2025

The retail industry is on the brink of transformation, driven by key technology trends noted at NRF’s Big Show. As retailers navigate through the evolving landscape, several themes emerge that promise to reshape the industry. Among these trends are the innovative approaches to common retail challenges, including enhancing customer experience through personalization, leveraging data analytics for targeted marketing, and implementing advanced supply chain solutions. Retailers adopting these trends can expect improved operational efficiency, customer satisfaction, and competitive advantage in the market.

How BMW Uses AWS to Scale and Automate SDV with Virtual ECUs

BMW’s adoption of AWS for scaling and automating Software-Defined Vehicles (SDV) marks a pivotal shift in automotive development. Their BMW Operating System 9, a fully virtualized Android Open-Source Project-based infotainment system, enables the creation of new in-vehicle software functionalities without the need for physical hardware access. This ‘shift-left’ approach accelerates development timelines and facilitates early testing, enhancing the efficiency of the development process. By leveraging AWS, BMW can streamline operations, reduce time-to-market, and maintain their competitive edge in automotive innovation.

How Volkswagen and AWS Built End-to-End MLOps for Digital Production Platform

The collaboration between Volkswagen AG and AWS resulted in the Digital Production Platform (DPP), aimed at boosting production and logistics efficiency by up to 30 percent while slashing production costs. By enabling seamless data access from shop-floor devices and manufacturing systems, VW can implement end-to-end Machine Learning Operations (MLOps). This platform facilitates real-time analytics and predictive maintenance, significantly enhancing production capabilities and reducing downtime. The DPP exemplifies how strategic partnerships and technology integration can drive substantial operational improvements and cost reductions in the manufacturing sector.

How KeyCore Can Help

KeyCore, as a leading AWS consultancy in Denmark, can support organizations across various industries in leveraging AWS technologies to overcome unique challenges. Whether it’s integrating IoT solutions for utility management, accelerating fraud detection in financial services, or transforming data management in industrial settings, KeyCore provides expert guidance and implementation services. Our deep expertise ensures that businesses can maximize the value of AWS solutions, driving innovation and efficiency in their operations. Visit KeyCore’s website to learn more about how we can assist in achieving your technological goals.

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AWS Marketplace

In the competitive landscape of cloud services, AWS Marketplace provides sellers with various strategies to streamline renewals, optimize pricing, and offer more value to customers. Sellers can gain a competitive edge by understanding these strategies and implementing best practices.

Understanding AWS Marketplace Renewals

AWS Marketplace offers a range of options for subscription renewals, allowing sellers to customize pricing and contract terms. By effectively managing these aspects, sellers can enhance customer relationships and ensure continued business growth. The key lies in understanding customer needs and aligning renewal strategies accordingly.

Optimizing Pricing Strategies

The AWS Marketplace allows sellers to adjust pricing strategies to better match customer expectations and market conditions. By implementing dynamic pricing models, sellers can respond to demand fluctuations and competitive pressures. This flexibility helps sellers maintain a strong market presence while maximizing revenue.

Streamlining the Renewal Process

Streamlining the renewal process is vital for customer satisfaction and retention. AWS Marketplace provides tools and features that simplify the management of renewals, making it easier for customers to continue their subscriptions without interruption. Automated renewal reminders and seamless transaction processes can greatly enhance the customer experience.

Delivering Enhanced Customer Value

By focusing on customer value, sellers can differentiate themselves in the AWS Marketplace. Providing customers with flexible renewal options, value-added services, and robust support systems can increase customer loyalty and satisfaction. Sellers who prioritize customer needs and feedback are more likely to succeed in driving long-term growth.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in navigating the AWS Marketplace. Our team can assist in optimizing renewal strategies, pricing models, and customer engagement approaches to ensure sellers maximize their potential in the cloud marketplace. We provide tailored solutions and expert guidance to help sellers achieve their business objectives efficiently.

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

AWS Achieves Dubai Electronic Security Centre Certification

Amazon Web Services (AWS) has successfully completed the Dubai Electronic Security Centre (DESC) certification audit. This significant achievement positions AWS as a Tier 1 Cloud Service Provider (CSP) in the Emirate of Dubai, specifically for the AWS Middle East (UAE) Region.

Aligning with DESC Requirements

The completion of the DESC certification audit underscores AWS’s ongoing commitment to meet the stringent requirements expected of CSPs. This certification highlights AWS’s dedication to maintaining high security standards and regulatory compliance within the region. It demonstrates AWS’s ability to provide reliable and secure cloud services that meet local government and organizational needs.

Implications for Government and Businesses

For governments and businesses operating in Dubai, this certification provides assurance that AWS’s cloud services meet local regulatory and security standards. This enables these entities to leverage AWS’s advanced cloud offerings with confidence, knowing they comply with local security protocols. AWS’s Tier 1 status facilitates greater trust and adoption of cloud services across various sectors, supporting digital transformation efforts in the region.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, is well-positioned to assist organizations in leveraging AWS’s certified cloud services in Dubai. With extensive expertise in AWS security and compliance, KeyCore can guide businesses in navigating the complexities of aligning with local regulations and maximizing the benefits of AWS’s secure cloud infrastructure. Whether through professional services or managed services, KeyCore offers tailored solutions to meet the unique needs of each organization, ensuring seamless integration and compliance with DESC standards.

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Innovating in the Public Sector

Self-Hosting the Landing Zone Accelerator on AWS

Organizations leveraging Amazon Web Services (AWS) often face restrictions against downloading software from public repositories. The Landing Zone Accelerator on AWS (LZA) now offers a solution by enabling self-hosting. This option allows those unable to access the public LZA GitHub repository to install the solution using an Amazon Simple Storage Service (Amazon S3) bucket instead. The technical steps involved in this process are detailed within the post, providing a pathway for customers to maintain compliance while utilizing the LZA solution effectively. This capability is pivotal for customers who prioritize security and control over their AWS environments.

Govplace and NIH Collaboration: Scaling and Cost Optimization

The National Institutes of Health (NIH) Office of Portfolio Analysis (OPA) sought to optimize cloud costs amidst increasing analytical demands. The solution was collaboration with AWS Partner Govplace, which specializes in systems integration and solutions for the public sector. By working with Govplace, OPA managed to reduce research expenses and achieve scalable solutions on demand. This partnership highlights the potential of AWS in supporting public sector organizations to meet their research objectives efficiently while maintaining cost-effectiveness.

Securely Onboarding Countries to AWS Cloud

As digital transformation accelerates, governments are looking towards cloud technologies for secure solutions. AWS has been at the forefront of collaborating with national cyber regulators to ensure secure cloud adoption within the public sector. This initiative ensures that countries can leverage AWS Cloud services while adhering to national regulatory requirements. By prioritizing customer control and security, AWS facilitates a smoother transition for public sector entities globally, enabling them to focus on leveraging cloud technologies to drive innovation and efficiency.

Thriving with Chronic Disease

Chronic diseases present a significant global health challenge. This post delves into the journey of a patient with chronic kidney disease (CKD) who managed to reverse her condition. By dismantling healthcare silos, taking control of her treatment and data, and embracing a wellness-centric approach, she exemplifies how patients can overcome chronic health challenges. This narrative underscores the importance of integrated healthcare solutions and patient empowerment in managing long-term health conditions.

Ground Segment Integration with AWS Ground Station Digital Twin

AWS Ground Station now offers a digital twin feature, allowing for seamless integration with DevOps practices. This feature benefits customers developing software-defined ground segment solutions, enabling faster and more cost-effective outcomes. The digital twin provides a virtual testing environment, eliminating the need for satellite licensing and reducing dependency on production satellite contacts. This advancement signifies AWS’s commitment to innovation and efficiency for its customers engaged in satellite communications and ground segment operations.

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The Internet of Things on AWS – Official Blog

AWS has introduced a preview of managed integrations for AWS IoT Device Management, aiming to streamline the cloud onboarding process of IoT devices. This new feature is set to unify device control across various brands and protocols, addressing the fragmentation challenge prevalent in IoT technology. Although IoT technology has seen widespread use in consumer and commercial applications such as smart homes, the diversity of brands and communication protocols often creates challenges for users in terms of device management and integration.

Streamlining IoT Device Onboarding

The new managed integrations seek to simplify the onboarding of IoT devices to the cloud. By providing a unified platform for device management, AWS offers developers a more efficient way to integrate devices from multiple manufacturers and facilitate seamless communication between them. This initiative is crucial to overcoming the disjointed nature of current IoT ecosystems where different devices often require distinct handling processes.

Unified Device Control

With the introduction of these managed integrations, AWS aims to provide a single interface for controlling IoT devices, regardless of their brand or protocol. This development is a significant step toward reducing the complexity of managing a diverse set of IoT devices, making it easier for users to achieve a cohesive smart environment. The ability to control different devices under a unified framework can enhance the user experience by reducing the operational intricacies associated with IoT systems.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, is well-equipped to assist businesses in leveraging these new managed integrations for AWS IoT Device Management. Our team of AWS experts can provide tailored solutions to help organizations optimize their IoT ecosystems, ensuring seamless device onboarding and control. Whether you need professional services to integrate these new AWS features or managed services for ongoing IoT device management, KeyCore can help streamline your IoT operations and maximize your investment in AWS technologies.

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