Summary of AWS blogs for the week of monday Mon Jan 27

In the week of Mon Jan 27 2025 AWS published 82 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps & Developer Productivity Blog

Amazon has enhanced its Q Developer with a real-time execution feature to improve the code generation process. This enhancement is particularly beneficial in an era where AI-driven development is becoming the norm. It provides a dependable environment for testing and ensures that developers can quickly verify that AI-generated code meets project requirements. The real-time execution environment helps reduce debugging time and accelerates feature delivery by allowing developers to iterate faster on their code. This update addresses a common challenge where developers face delays due to extensive time spent resolving issues in AI-produced code.

The introduction of real-time execution in Amazon Q Developer is a major step forward in enhancing productivity and code quality. By enabling instantaneous testing, it allows developers to focus more on code refinement rather than spending time on debugging, ultimately leading to more efficient software development cycles.

For businesses, this means a faster time-to-market for new features and updates, which can be crucial in maintaining a competitive edge. The capability to ensure code quality through real-time testing aligns with the growing demand for agile and high-quality software solutions. KeyCore can assist companies in integrating these advanced features into their existing workflows, ensuring maximal benefit from Amazon Q Developer’s capabilities.

Introducing the AWS CDK Glue L2 Construct

The AWS Cloud Development Kit (CDK) has released a new L2 construct for AWS Glue, streamlining the configuration of Glue jobs, workflows, and triggers. This construct simplifies the setup process by providing predefined configurations, reducing the need for developers to manually review extensive documentation and examples to identify valid parameters for each job type and language. The new construct improves efficiency, allowing developers to focus on building and deploying data workflows without the usual setup hurdles.

The AWS CDK Glue L2 construct is a significant development for those who rely heavily on AWS Glue for their data processing needs. It offers a more intuitive approach to configuring Glue resources, making it easier to manage the complexities of data workflows.

KeyCore can help organizations leverage this new construct to simplify their Glue configurations and improve their data processing capabilities. Our expertise ensures that businesses can implement AWS solutions effectively, maximizing the benefits of the new AWS CDK Glue L2 construct to enhance their data operations.

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Official Machine Learning Blog of Amazon Web Services

In the realm of artificial intelligence and machine learning, Amazon Web Services (AWS) continues to innovate with its diverse offerings. Below is a summary of recent developments and implementations using Amazon Bedrock, an AWS service that enhances various AI-driven processes.

Resilient Supply Chain Management with Amazon Bedrock

Amazon Bedrock offers generative AI capabilities to build robust supply chain systems by integrating diverse data sources and transforming them into actionable insights. These capabilities are utilized in Amazon Bedrock Flows to connect business systems, monitor potential shortages, and devise strategies using data insights from Amazon S3 or Bedrock Knowledge Bases. This intelligent approach allows businesses to stay ahead of supply chain risks.

Email Classification with Amazon Bedrock

Travelers Insurance employs Amazon Bedrock and prompt engineering to automate the classification of service emails effectively. By framing the task as a classification problem, foundational models (FMs) like Anthropic’s Claude models on Amazon Bedrock can rapidly adapt to production environments, offering extensibility for future tasks with minimal setup time.

Enhancing Digital Pathology with H-optimus-0

Digital pathology workflows are accelerated using H-optimus-0 on AWS, which enables detailed tissue examination and broader diagnostic assessments. This model adapts to specific pathology use cases while ensuring optimized use of computational resources, demonstrating AWS’s commitment to advancing healthcare analytics.

DeepSeek-R1 Model Integration

The DeepSeek-R1 model, available through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart, utilizes reinforcement learning and a Mixture of Experts architecture to deliver efficient and interpretable AI responses. Coupled with Amazon Bedrock Guardrails, it ensures safe and reliable interactions within AI solutions.

Streamlining Grant Proposal Reviews

The AWS Social Responsibility & Impact (SRI) team leverages Amazon Bedrock’s natural language processing capabilities to streamline the review of grant proposals. This innovative solution enhances the efficiency of grants management processes and provides a proven framework for other organizations to follow.

Unlocking Patient Insights with Generative AI

Aetion uses Amazon Bedrock and Anthropic’s Claude 3 LLMs to power its Smart Subgroups Interpreter. This tool allows users to query patient subgroups using natural language, facilitating the discovery of new hypotheses and evidence, thereby unlocking hidden insights about patient populations.

Deploying Distilled Llama Models with Amazon Bedrock

Amazon Bedrock Custom Model Import supports deploying distilled versions of the DeepSeek-R1 models—DeepSeek-R1-Distill-Llama-8B and 70B. These models strike an optimal balance between performance and resource efficiency, showcasing Amazon Bedrock’s flexibility in model deployment.

Generative AI Operating Models in Enterprises

As generative AI adoption grows, businesses must establish robust operating models. These models include organizational design, processes, technology, and governance structures. This post evaluates various operating model architectures that enterprises can adopt to thrive in the AI-driven landscape.

Developing RAG-based Applications

Retrieval-Augmented Generation (RAG) applications benefit from Amazon Aurora integrated with Amazon Kendra. These technologies combine existing knowledge bases with large language model insights to generate accurate, human-like responses without extensive data preparation, simplifying the data integration process.

Optimizing AI Responsiveness with Amazon Bedrock

Amazon Bedrock provides latency-optimized inference options to maintain responsiveness in LLM applications. This post offers strategies for optimizing application performance and enhancing user experience, with practical guidance for both new and existing AI applications.

LLM Model Evaluation with Amazon SageMaker

Using Amazon SageMaker and the open-source FMEval library, data scientists can programmatically assess LLMs on various metrics such as accuracy and robustness. This integration provides a code-first evaluation experience, fostering efficiency and innovation in model development.

SageMaker Inference Endpoint for Custom Models

The SageMaker inference endpoint facilitates the deployment of custom models like NASA’s Prithvi model. This model, pre-trained on HLS data, can be fine-tuned for applications such as burn scars detection and crop classification, highlighting AWS’s role in advancing geospatial analysis.

Innovative Content Creation Models: Amazon Nova Canvas and Reel

Amazon Bedrock introduces Amazon Nova Canvas and Reel, which transform text and images into custom visuals for creative content generation. These state-of-the-art models expand opportunities for both professional and personal projects, reflecting AWS’s commitment to driving innovation in content creation.

KeyCore, as the leading Danish AWS consultancy, can guide and support organizations in implementing these advanced AI solutions. By leveraging AWS’s machine learning capabilities, including Amazon Bedrock, KeyCore helps businesses optimize operations, enhance decision-making, and drive innovation across various domains. Interested parties can learn more about KeyCore’s offerings at KeyCore’s website.

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Announcements, Updates, and Launches

DeepSeek-R1 Models Now Available on AWS

DeepSeek-R1, an advanced large language model, is now accessible for deployment via Amazon Bedrock and Amazon SageMaker AI. This model is renowned for its reinforcement learning and chain-of-thought capabilities, offering users a robust tool for building and scaling generative AI applications. By leveraging these AWS services, businesses can integrate DeepSeek-R1 with minimal infrastructure investment, allowing them to meet a wide range of business needs efficiently. This development marks a significant step forward for organizations seeking to harness the power of AI without the burden of complex infrastructure management. The availability of DeepSeek-R1 on AWS underscores the platform’s commitment to providing cutting-edge AI solutions that are both scalable and adaptable.

AWS Weekly Roundup: New Features and Enhancements

The latest AWS weekly roundup highlights approximately 40 new launches, bringing a variety of enhancements across different services. Notable updates include improvements to AWS EventBridge, SNS FIFO, Amazon Corretto, Amazon Connect, and Amazon Bedrock. These changes reflect AWS’s continuous efforts to incorporate user feedback, resulting in features that enhance efficiency and ease of use. One of the standout updates is the ability to support multiple sessions in the AWS Console, a feature aimed at improving user experience by allowing more flexible and dynamic interactions with AWS services. This update is particularly beneficial for developers and IT professionals who require concurrent access to different AWS environments for testing, development, and operational purposes. These incremental changes collectively demonstrate AWS’s dedication to refining its services to better meet the needs of its diverse user base.

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Containers

Implementing EKS Anywhere at Scale

In today’s technological landscape, many organizations are adopting a container-first strategy for managing on-premises workloads, leveraging Kubernetes to streamline operations. Amazon EKS Anywhere empowers businesses to create and manage Kubernetes clusters on their own infrastructure, providing flexibility and control. This approach caters to organizations looking to enhance their resource management by utilizing a hybrid cloud infrastructure.

Amazon EKS Anywhere is built upon the robust foundation of Amazon Elastic Kubernetes Service (EKS), offering a consistent Kubernetes experience across environments. By deploying EKS Anywhere, companies can achieve operational consistency, ensure workload portability, and reduce cloud costs by utilizing existing infrastructure. This setup empowers organizations to optimize their resource allocation, enhance scalability, and maintain high availability of applications.

Business Value of EKS Anywhere

Implementing EKS Anywhere can significantly enhance an organization’s efficiency and agility. By running workloads on-premises and in the cloud, companies can effectively manage compliance requirements, data sovereignty, and latency-sensitive applications. This hybrid model allows seamless workload migration and scaling, enabling businesses to respond swiftly to market demands without compromising on performance or security.

Furthermore, EKS Anywhere reduces the complexity of managing Kubernetes deployments, allowing teams to focus on application development rather than infrastructure management. This results in accelerated innovation cycles and improved time-to-market for new products and services.

Amazon EKS Hybrid Nodes

The introduction of Amazon EKS Hybrid Nodes represents a significant advancement in Kubernetes deployment capabilities. This feature allows businesses to run Kubernetes on a mix of AWS-managed and self-managed nodes, providing greater flexibility in resource allocation and management. Hybrid Nodes facilitate seamless integration of on-premises and cloud-based resources, optimizing cost efficiency and performance.

Organizations leveraging Hybrid Nodes can achieve greater control over their Kubernetes environments, tailoring deployments to their specific needs. This flexibility supports the efficient utilization of existing on-premises investments while harnessing the scalability of AWS cloud resources. The combination of AWS-managed and self-managed nodes ensures businesses can maintain high levels of security, compliance, and operational reliability.

How KeyCore Can Help

KeyCore is uniquely positioned to assist organizations in implementing and optimizing EKS Anywhere and EKS Hybrid Nodes. With extensive expertise in AWS technologies and Kubernetes solutions, KeyCore’s team can guide businesses through the complexities of hybrid cloud deployments. Our consultancy services include architecture design, deployment, and ongoing management, ensuring seamless integration and enhanced performance.

Whether transitioning to a container-first approach or optimizing existing Kubernetes frameworks, KeyCore provides tailored solutions that align with business objectives and technical requirements. By partnering with KeyCore, organizations can achieve operational excellence and drive innovation through effective cloud and on-premises resource management.

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Official Database Blog of Amazon Web Services

Aqua Security Scales Data Export with Amazon Aurora

Aqua Security, known for securing containerized cloud-native applications, faced a complex challenge: efficiently exporting and analyzing large data volumes to meet business needs. The solution involved using the aws_s3.query_export_to_s3 function with Amazon Aurora PostgreSQL-Compatible Edition and AWS Step Functions. This approach streamlined their query output export process. As a result, Aqua achieved scalable and cost-effective data analysis, enabling continuous monitoring and enhanced security analysis. By automating the data export and query processes, Aqua can now deliver significant value to their customers at scale, ensuring data integrity and timely insights.

Monitoring Amazon Aurora PostgreSQL Instances

Managing large-scale Amazon Aurora PostgreSQL deployments requires enhanced visibility into database health. This post provides a comprehensive solution to proactively address potential issues, ensuring smooth database operations. The monitoring solution scales with your deployment, offering robust and reliable oversight even for extensive fleets of instances. By implementing proactive monitoring strategies, organizations can improve operational efficiency, minimize downtime, and optimize performance. This ensures that any anomalies are detected early, reducing the risk of system failures and maintaining the integrity of critical business operations.

Oracle APEX on Amazon RDS for Oracle Simplified

Oracle Application Express (APEX) is a powerful tool for developing and deploying applications quickly. This post guides users through installing, configuring, and upgrading an APEX repository on Amazon RDS for Oracle and ORDS. It also provides insights on handling APEX during snapshot restore or point-in-time recovery (PITR). By simplifying the deployment and management processes, this approach enables developers to focus on building applications that provide immediate value and solve real-world problems. The guidance ensures that organizations can maintain high availability and reliability of their Oracle-based applications, even during recovery scenarios.

Exploring the GraphRAG Toolkit for Amazon Neptune

Amazon Neptune introduces the GraphRAG Toolkit, an open-source Python library designed to facilitate graph-enhanced Retrieval Augmented Generation (RAG) workflows. This post explains how to get started with the toolkit, highlighting the benefits of integrating graphs into RAG applications. Users are guided through setting up a quick start environment and installing the toolkit. Additionally, the post delves into the design considerations behind the toolkit’s graph model and its approach to content retrieval. By leveraging this tool, organizations can enhance their data retrieval processes, enabling more sophisticated and context-aware insights from graph data.

KeyCore’s Expertise in AWS Database Solutions

KeyCore, as Denmark’s leading AWS consultancy, offers expert guidance and support across all aspects of AWS database solutions. Whether scaling data exports with Amazon Aurora, monitoring PostgreSQL instances, deploying Oracle APEX, or integrating graph models with Neptune, KeyCore delivers tailored solutions to meet your business goals. Our team of AWS-certified professionals can help design, implement, and manage robust database infrastructures, ensuring optimal performance and reliability. Visit KeyCore.dk to learn more about how we can assist with your AWS database needs.

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AWS Cloud Financial Management

With re:Invent 2024 concluded, AWS enthusiasts and users have been treated to over 50 exciting launch announcements. Among these, a core theme has emerged: leveraging Amazon’s automation capabilities for cost optimization and efficiency improvement. Here’s a closer look at four standout announcements that promise to revolutionize cost management strategies.

Automated Cost Optimization Tools

AWS has introduced new automated tools designed to streamline cost management processes. These tools utilize advanced analytics and machine learning to predict and optimize cloud spending dynamically. By automating cost analysis, businesses can gain real-time insights and make data-driven decisions, reducing unnecessary expenditures and maximizing resource allocations.

Enhanced Resource Management Features

To further aid in cost reduction, AWS has enhanced its resource management features. The new offerings include automated scaling and resource allocation capabilities, allowing businesses to align their cloud infrastructure costs with actual usage needs. This ensures that resources are not only used efficiently but also that they are adjusted according to demand, minimizing wastage.

Intelligent Workload Scheduling

Another highlight from re:Invent 2024 is the introduction of intelligent workload scheduling technologies. These innovations focus on optimizing the deployment of workloads based on cost-efficiency metrics. By scheduling workloads to run at optimal times or under specific conditions, companies can significantly cut down on operational costs without compromising performance.

Comprehensive Cost Analysis Dashboards

AWS has rolled out new comprehensive dashboards that provide holistic views of cloud expenditures. These dashboards integrate with existing AWS services to offer detailed breakdowns of costs, enabling better tracking and reporting. Organizations can now monitor spending patterns, identify cost drivers, and implement targeted strategies for cost control through these user-friendly interfaces.

These announcements underscore AWS’s commitment to helping businesses achieve greater cost efficiency through automation and intelligent resource management. As AWS continues to innovate, enterprises can look forward to more tools that simplify financial management and enhance operational efficiency.

At KeyCore, the leading Danish AWS consultancy, expert teams are poised to help businesses harness these new capabilities. Whether through professional services or managed services, KeyCore provides tailored solutions to optimize cloud costs and boost efficiency, leveraging the latest AWS innovations. By partnering with KeyCore, businesses can unlock the full potential of AWS’s cost optimization tools, ensuring a smarter, more efficient use of cloud resources.

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AWS Training and Certification Blog

New Free Digital Course: AWS Well-Architected for Enterprises

To support organizations in consistently applying best practices of the AWS Well-Architected Framework as they expand, AWS has introduced a new free digital course: AWS Well-Architected for Enterprises. This course is tailored for technical professionals who are involved in architecting, building, and operating AWS solutions at scale. Designed at an intermediate level, the course aims to provide insights into optimizing cloud architecture while ensuring alignment with business objectives. Participants will gain a comprehensive understanding of how to implement best practices across various AWS environments, making it an essential tool for enterprises looking to leverage AWS services effectively.

January 2025: New Courses and Certification Updates

January 2025 marked the launch of 17 new digital training products on AWS Skill Builder, broadening the scope of learning opportunities for AWS users. Among these, two new AWS Jam Journeys were introduced, offering interactive learning experiences that simulate real-world scenarios for deeper understanding. Additionally, there is an expanded availability of Exam Prep materials, now supporting AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer certification exams in more languages. A noteworthy addition is the AWS Builder Lab, “Sustainability Strategies with AWS Compute Workload,” which focuses on identifying sustainability strategies using AWS services. This lab teaches participants how to optimize usage and costs within an AWS environment, reinforcing AWS’s commitment to sustainable and efficient cloud computing solutions.

KeyCore’s Role in AWS Training and Certification

As the leading Danish AWS consultancy, KeyCore offers unparalleled expertise in AWS training and certification. With a deep understanding of AWS services and a focus on aligning technology with business goals, KeyCore can assist enterprises in integrating AWS Well-Architected best practices into their operations. Our professional services include customized AWS training sessions that reflect the latest updates, such as those from January 2025, ensuring your team stays at the forefront of AWS technology advancements. Partnering with KeyCore means gaining access to insights that not only enhance your technical capabilities but also strategically position your business for success in the cloud.

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Microsoft Workloads on AWS

Amazon Web Services (AWS) has introduced the general availability of AWS-provided Subscriber Access Licenses (SAL) for Microsoft Remote Desktop Services (RDS). This development allows businesses to efficiently manage their Microsoft RDS licensing on AWS infrastructure. Here, we delve into the steps and benefits of configuring Microsoft Remote Desktop Services using user-based subscription licenses through AWS License Manager.

Understanding Microsoft RDS Licensing on AWS

Microsoft Remote Desktop Services (RDS) enables users to access applications and desktops from anywhere. Traditionally, managing licenses for RDS can be complex and resource-intensive, especially when scaling services. With AWS License Manager, organizations can automate the management of these licenses, minimizing administrative overhead and ensuring compliance.

Configuring AWS License Manager for RDS

To start, AWS License Manager provides a centralized interface to track and manage software licenses across AWS and on-premises environments. By integrating SALs for RDS, License Manager simplifies the process by enabling user-based subscription licensing. Organizations can assign licenses directly to users, providing flexibility and scalability in managing access to RDS on Amazon EC2.

The setup includes configuring AWS License Manager with the necessary license configurations and rules to ensure that each user is assigned a valid license. This approach eliminates manual tracking and reduces the risk of non-compliance with licensing agreements.

Benefits of Using AWS License Manager

Adopting AWS License Manager for managing Microsoft RDS licenses offers several advantages. It enhances visibility into license usage, enabling organizations to optimize their software spend and avoid over-provisioning. The streamlined process also supports dynamic scaling, allowing businesses to adjust their licensing needs based on user demand without complex renegotiations or audits.

How KeyCore Can Assist

KeyCore, as a leading AWS consultancy in Denmark, specializes in optimizing Microsoft workloads on AWS. Our team can guide organizations through the setup and configuration of AWS License Manager for Microsoft RDS, ensuring a smooth transition and ongoing compliance. With expertise in both AWS infrastructure and Microsoft solutions, KeyCore provides tailored strategies to maximize the value of AWS investments while minimizing operational overhead.

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Official Big Data Blog of Amazon Web Services

Modernizing Data Platforms with AWS CDK and Step Functions

Open Universities Australia (OUA) has revolutionized its data management practices by integrating AWS services to modernize their data platform. The aim was to empower students by providing easy access to a broad selection of online degrees from top Australian universities. By transitioning from an outdated third-party ETL tool to AWS Cloud Development Kit (CDK) and AWS Step Functions, OUA streamlined their data processes.

This transition not only improved productivity but also led to a substantial reduction in ETL operational costs. The AWS CDK and Step Functions allowed for automated and efficient data handling, thus enhancing the team’s ability to focus on strategic initiatives rather than maintenance tasks.

Hybrid Big Data Analytics with Amazon EMR on AWS Outposts

Amazon EMR on AWS Outposts offers a robust solution for hybrid data analytics, enabling organizations to access and process data seamlessly across on-premises and cloud environments. This post highlights how EMR on Outposts serves as an adaptable service that integrates the convenience of cloud-based processing with the control of on-premises infrastructure.

The flexibility of EMR on Outposts allows businesses to leverage existing data resources while ensuring consistent data analytics performance, regardless of data location. This capability is crucial for enterprises seeking to optimize their data strategies without compromising on latency or data governance.

Event-Driven Cloud Excellence with Amazon Redshift Lakehouse Architecture

MuleSoft achieved cloud excellence by adopting an event-driven architecture using Amazon Redshift and related AWS services. Building on a Cloud Operating Model, MuleSoft implemented a lakehouse architecture leveraging Amazon EventBridge, Amazon Redshift, Amazon Redshift Spectrum, Amazon S3, and AWS Glue. This architecture enabled seamless data integration and real-time analytics.

The implementation of these AWS tools provided MuleSoft with a scalable and flexible data environment. This setup not only enhanced their data processing efficiency but also facilitated better decision-making through improved data insights, aligning with their strategic goals of leveraging cloud technologies for operational excellence.

How KeyCore Can Assist

KeyCore, as the leading Danish AWS consultancy, can assist organizations in modernizing their data platforms using AWS services effectively. By leveraging KeyCore’s expertise in AWS professional and managed services, businesses can achieve streamlined data operations and cost efficiency, similar to the success stories of OUA, and MuleSoft.

Whether optimizing hybrid data analytics with Amazon EMR on AWS Outposts, or transforming data architectures with Amazon Redshift and related services, KeyCore offers tailored solutions to meet unique business needs. Our team ensures that your AWS infrastructure is aligned with your strategic goals, providing ongoing support and expertise to drive innovation and growth.

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Networking & Content Delivery

In the realm of networking and content delivery, managing traffic efficiently and ensuring optimal performance are essential components. The following articles delve into key strategies for handling traffic spikes and migrating load balancers to AWS, offering insights and best practices that can significantly enhance network performance.

Load Balancer Capacity Unit Reservation

As organizations experience unpredictable traffic patterns, preparing for sudden increases in traffic becomes crucial. The Load Balancer Capacity Unit (LCU) Reservation feature in AWS offers a powerful solution for such scenarios. LCUs measure the capacity needed to handle traffic efficiently across elastic load balancers.

Using LCU Reservation helps ensure that there is adequate capacity for sudden surges in requests, thereby maintaining performance levels. This feature is particularly beneficial during events with expected high traffic, such as product launches or holiday sales. By reserving LCUs in advance, businesses can mitigate the risk of performance degradation.

Getting started with LCU Reservation involves assessing your current load balancer usage, forecasting future traffic demands, and then committing to a specific number of LCUs. The AWS Management Console and AWS CLI provide straightforward methods for making these reservations. For more detailed guidance, refer to the AWS documentation on LCUs.

Migrating Load Balancers to AWS

Migrating on-premises load balancers to AWS is a strategic move that offers enhanced scalability, cost savings, and agility. As businesses transition to the cloud, load balancers play a critical role in ensuring efficient distribution of network traffic across cloud resources.

To execute a successful migration, it’s essential to follow recommended strategies. These include assessing existing load balancer configurations, understanding application dependencies, and planning for security and compliance requirements. AWS provides various tools and services, such as the Elastic Load Balancer (ELB) and Application Load Balancer (ALB), to facilitate a smooth transition.

Furthermore, adopting best practices like automated scaling, monitoring, and using AWS’s built-in failover mechanisms can enhance the resilience and performance of migrated load balancers. For more comprehensive guidance, consider consulting the AWS documentation on load balancing.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, offers extensive expertise in both load balancer capacity planning and cloud migration strategies. Our team can provide tailored solutions that align with your specific business needs and ensure a seamless transition to AWS. Whether you require assistance with LCU reservation or migrating complex infrastructure, KeyCore’s professional and managed services are designed to maximize the benefits of AWS technologies. For more information, visit KeyCore’s website to explore our offerings.

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AWS for M&E Blog

Virtual Production on the Cloud with Grup Mediapro and AWS

The Media & Entertainment industry is embracing a substantial transformation, with virtual production at the forefront of this change. Grup Mediapro, a leading company in this space, has embarked on a journey to leverage AWS’s cloud capabilities to enhance creativity and innovation. By utilizing AWS’s robust infrastructure, they have streamlined their production processes, enabling more agile and flexible content creation. This shift to cloud-based virtual production allows for real-time collaboration and cost efficiencies, significantly impacting the creative possibilities and production timelines. AWS’s comprehensive suite of services, such as Amazon EC2 and AWS Lambda, supports the complex workflows essential for virtual production, providing the scalability and reliability required for modern media projects.

Arc XP Utilizes Generative AI with AWS to Enhance Journalism

In the competitive digital media environment, news organizations must continually find ways to engage and retain their audience. Arc XP is utilizing AWS’s generative AI capabilities to enhance journalism quality and audience relevance. This approach provides tools for faster content production while improving quality. Le Parisien, a prominent French newspaper, benefits from these advancements by empowering journalists with AI-driven insights, ensuring high-quality and timely news dissemination. AWS AI services, such as Amazon SageMaker, facilitate the development and deployment of machine learning models that aid in crafting more personalized and impactful news stories, delivering significant value to both publishers and their audiences.

Grabyo Enhances Live Cloud Production with AWS CloudFront Origin Shield

Live cloud production demands minimal latency to ensure seamless content delivery and viewer experience. Grabyo, by partnering with AWS, utilizes Amazon CloudFront Origin Shield to optimize live production workflows. This technology is crucial in delivering a high-quality, jitter-free reference stream, essential for timely edits in live sports events and other real-time content production. By minimizing latency and enhancing stream reliability, AWS CloudFront Origin Shield supports Grabyo in maintaining superior live production standards. The integration of AWS services ensures that content producers can offer a consistent and high-quality experience to their audience, reflecting AWS’s commitment to advancing media and entertainment technologies.

How KeyCore Can Help

KeyCore specializes in AWS solutions, offering expertise that can assist Media & Entertainment companies in adopting and optimizing cloud-based production technologies. With experience in leveraging AWS’s comprehensive suite of services, KeyCore can support organizations like Grup Mediapro in migrating to virtual production environments. Additionally, KeyCore can help media companies implement generative AI solutions similar to those used by Arc XP, enhancing content production and quality. For live cloud production optimization, KeyCore can guide companies in employing AWS CloudFront Origin Shield to achieve low-latency, high-quality streaming solutions. By partnering with KeyCore, businesses can harness AWS’s innovative technologies to stay competitive in the rapidly evolving media landscape.

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AWS Storage Blog

Integrating Custom Metadata with Amazon S3

Organizations, regardless of size, face the daunting task of efficiently managing and retrieving vast amounts of digital content. This includes everything from images and videos to documents and application data. The key to solving this challenge lies in the ability to extract, manage, and use metadata. Metadata serves as a powerful tool to enhance storage solutions on Amazon S3, allowing businesses to organize and retrieve information efficiently. By integrating custom metadata, organizations can tailor their data management strategies to meet their specific needs, ensuring that data is stored securely, accessed quickly, and analyzed effectively.

Enhancing Resource-Level Permission for Amazon EBS Volumes

Amazon Elastic Block Store (Amazon EBS) snapshots play a crucial role in capturing point-in-time copies of application data volumes. These snapshots are essential for quickly launching workloads across different AWS Regions and meeting data protection and disaster recovery requirements. As businesses prioritize security and regulatory compliance, enhancing resource-level permissions becomes vital. Implementing precise permission controls when creating Amazon EBS volumes from snapshots ensures that only authorized users can access sensitive data. This approach not only strengthens security but also aligns with compliance mandates, providing organizations with robust data protection capabilities.

Design Patterns for Multi-Tenant Access Control on Amazon S3

Large organizations and SaaS platforms often need to share storage resources among multiple users, groups, or tenants. Selecting the right design pattern for access control in Amazon S3 is critical. It influences security, scalability, and the overall ease of managing permissions. A well-thought-out design pattern minimizes risks and enhances operational efficiency by providing clear access guidelines and robust controls. This strategic decision enables organizations to efficiently manage access at scale while maintaining high levels of security and compliance.

Optimizing Data Transfers for Life Science Instruments

Healthcare and Life Sciences (HCLS) customers are witnessing an explosion of data as they integrate omics data with drug discovery, clinical development, and diagnostics. The high throughput of data generated by HCLS laboratories reflects their advanced instrumentation and operations. AWS DataSync offers a solution by optimizing data transfers, ensuring efficient movement of large datasets. This optimization is crucial for maintaining the seamless operation of HCLS applications and facilitating faster insights and outcomes in critical health research.

Archiving Databases to Amazon S3 Glacier for Cost Optimization

Organizations are experiencing rapid growth in their data footprints, particularly within relational database management systems (RDBMS). With data compliance requirements like HIPAA, PCI-DSS, and GDPR, archiving becomes essential. Amazon S3 Glacier storage classes provide a cost-effective solution for archiving relational databases. By leveraging these storage classes, businesses can significantly reduce costs while ensuring that archived data remains compliant and accessible when needed. This strategic approach allows organizations to balance cost with regulatory adherence and data accessibility.

How KeyCore Can Help

KeyCore offers expert AWS consultancy services to help organizations effectively implement and manage these advanced AWS storage solutions. From integrating custom metadata into Amazon S3 to enhancing security with precise EBS volume permissions, our team provides tailored solutions to meet your business needs. We excel in designing multi-tenant access controls for scalable operations and optimizing data transfers for high-throughput environments like life sciences. Additionally, we can assist in setting up cost-effective archival strategies using Amazon S3 Glacier, ensuring compliance and data integrity. Learn more about how KeyCore can empower your AWS storage strategies by visiting our website.

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AWS Architecture Blog

Nielsen, a global measurement and data analytics company, embarked on a journey to enhance its big data processing capabilities using Apache Spark workloads. The company faced several initial challenges, primarily concerning scalability and resource management. Traditional infrastructure was becoming a bottleneck, leading to inefficiencies and increased operational costs.

Challenges in Big Data Processing

Nielsen’s existing architecture struggled with scaling its Spark workloads effectively. The main issues stemmed from a lack of elasticity and difficulty in managing resources dynamically. This situation resulted in underutilized resources during off-peak times and resource shortages during peak demand periods, causing delays and affecting overall performance.

Adopting Amazon EKS

To address these challenges, Nielsen turned to Amazon Elastic Kubernetes Service (Amazon EKS). By running Apache Spark on Amazon EKS, Nielsen could leverage Kubernetes’ powerful orchestration capabilities, enabling them to efficiently manage containerized applications. This transition facilitated better resource allocation and enhanced the system’s ability to handle varying workloads seamlessly.

Implementing Serverless Concepts

In addition to employing Amazon EKS, Nielsen adopted serverless concepts to further improve scalability and efficiency. This approach allowed them to benefit from automatic scaling, reducing the need for manual intervention. It also ensured optimal resource utilization, as resources were provisioned and decommissioned based on real-time demand.

Business Impact and Benefits

By integrating serverless concepts into their architecture, Nielsen achieved linear scaling, which allowed them to process larger datasets more efficiently. This resulted in improved performance and reduced operational costs. The flexibility and scalability offered by Amazon EKS, combined with serverless features, enabled Nielsen to focus on delivering value through data insights rather than managing infrastructure.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, can assist organizations like Nielsen in implementing similar solutions. Whether it’s optimizing Kubernetes deployments on Amazon EKS or adopting serverless architectures for big data processing, KeyCore offers both professional and managed services to support these initiatives. Our expertise ensures a seamless transition to scalable and efficient AWS-based solutions, maximizing business value and performance.

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AWS Partner Network (APN) Blog

Apiphani’s data pipeline solutions on AWS industrialize data delivery, enabling organizations to become data-driven. Their approach integrates technology, work methodologies, and cultural shifts to supply reliable data for business intelligence (BI), machine learning (ML), artificial intelligence (AI), and digital products. By adopting Apiphani’s strategies, companies can quickly enhance performance and position themselves for long-term data and AI-driven success.

Choosing the Right AI Approach with Metal Toad

Metal Toad, an AWS Advanced Consulting Partner, explores how businesses can effectively apply generative AI and machine learning through AWS services like Amazon Bedrock and SageMaker. By using case studies with AlertWest and GeniusVets, Metal Toad demonstrates the significance of selecting the appropriate AI technology tailored to specific business needs, ensuring optimal results and innovative applications.

RADCOM Assurance for Standalone 5G on AWS

RADCOM provides a cloud-native AI-driven assurance solution for 5G networks via AWS, enhancing reliability, speed, and user experience. Their adaptable SaaS model reduces costs and offers usage-based pricing. RADCOM ACE delivers rapid analytics and automated life cycle management, enabling effective 5G network assurance evolution on AWS.

Fortiro’s Fraud Detection for Financial Services

In the financial services sector, balancing speed and security remains crucial. Fortiro’s solutions, alongside AWS, streamline document verification processes while bolstering fraud prevention. This approach addresses challenges in payment processing, lending, and insurance claims management by enhancing operational efficiency and security.

Strengthening Amazon EKS Security with SentinelOne

SentinelOne’s Singularity Cloud Workload Security utilizes the eBPF framework and Behavioral AI for real-time threat protection in Kubernetes workloads on AWS. Their solution offers comprehensive security via agent-based protection, automated incident visualization, and seamless integration with Amazon EKS, ensuring robust security for containerized applications.

Excelfore’s Edge AI for Connected Vehicles

Excelfore’s Edge AI solution, powered by AWS, revolutionizes connected vehicle data management, reducing transmission loads by 70% while capturing crucial anomalies in real time. This technology empowers automotive OEMs to leverage vehicle data for continuous improvement, driving innovation and efficiency in the automotive industry.

Automation Co-Pilot with Amazon Q Business

Automation Anywhere’s Automation Co-Pilot, driven by Amazon Q Business, streamlines enterprise workflows through conversational automation. This AI-powered assistant integrates seamlessly with company systems, delivering contextual knowledge and automating tasks via conversational interactions, enhancing decision-making and operational efficiency.

Introducing New AWS Partners and Specializations

In December, AWS welcomed 157 partners receiving new or renewed specializations across AWS Competency, Managed Service Provider (MSP), Service Delivery, and Service Ready programs. These designations help AWS customers find partners who can effectively meet their business objectives, leveraging AWS’s platform for maximum business benefits.

Transforming Adabas and Natural Workloads with IBM ModernSystems

To modernize legacy systems, enterprises are transitioning Adabas and Natural workloads to AWS using IBM ModernSystems accelerator. This solution provides automated refactoring of Natural code to Java/C# and replatforming on Windows, along with migrating Adabas databases to modern relational databases, allowing businesses to reduce dependence on outdated technologies.

KeyCore’s Expertise in AWS Implementation
KeyCore, as the leading AWS consultancy in Denmark, offers expertise in deploying these solutions effectively. Whether enhancing security, modernizing workloads, or optimizing AI and data strategies, KeyCore provides tailored professional and managed services to help businesses leverage AWS technologies for sustained success. Visit KeyCore to explore our comprehensive AWS offerings.

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AWS HPC Blog

Enhancing HPC with AWS Parallel Computing Service

AWS Parallel Computing Service now supports AWS CloudFormation, providing a robust solution for deploying and scaling high-performance computing (HPC) workloads seamlessly as code. This advancement allows for more efficient management of computational resources and streamlines the process of initiating complex compute clusters. AWS has introduced an open-source HPC Recipes Library, which simplifies cluster deployment, offering a variety of predefined templates. This library serves as a valuable resource for users looking to set up HPC environments quickly and efficiently, utilizing the power of infrastructure as code to manage large-scale compute tasks.

Scaling Genomic Processing with AWS Batch

Caris Life Sciences, a leader in precision medicine, successfully leveraged AWS Batch to process an immense volume of genomic data. In just 2.5 days, they processed 400,000 RNAseq samples, demonstrating the scalability and efficiency of AWS Batch in handling massive datasets. This achievement underscores the importance of scalable cloud solutions in genomic research, where rapid data processing can significantly impact the delivery of personalized healthcare solutions. AWS Batch provided Caris Life Sciences with the ability to automate job scheduling, efficiently allocate computational resources, and manage the processing of genomic workloads, ensuring timely and accurate results necessary for precision medicine.

KeyCore’s Expertise in HPC and Genomics

KeyCore, as a leading AWS consultancy in Denmark, is well-equipped to assist organizations in maximizing the potential of AWS Parallel Computing Service and AWS Batch. Our professional services can help design and implement HPC solutions tailored to specific needs, leveraging AWS’s latest advancements in infrastructure as code. For life sciences and other data-intensive sectors, KeyCore’s managed services ensure optimal performance and cost-efficiency, guiding clients through complex deployments and operations. By partnering with KeyCore, businesses can unlock the full capabilities of AWS, driving innovation and achieving operational excellence.

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AWS Cloud Operations Blog

As SAP systems evolve, transitioning from traditional GUI-based access to web-based interfaces like SAP FIORI, there is a growing need for robust load balancing solutions. Historically, SAP users accessed systems using the SAP GUI installed on their computers. However, with the shift towards processing critical transactions through web browsers, such as those for SAP HR time entry, the demand for scalable and resilient infrastructure has intensified.

Role of AWS Native Application Load Balancer

The AWS Native Application Load Balancer is pivotal in enhancing the scalability and resilience of SAP workloads. By efficiently distributing incoming application traffic across multiple targets, it ensures that resources are utilized optimally, which is crucial for handling peak loads and maintaining operational continuity. Furthermore, this service is designed to automatically balance traffic based on application demand, thus preventing performance bottlenecks and ensuring smooth user experiences.

Advancing SAP Workload Management

Integrating AWS’s load balancing into SAP environments not only supports web-facing SAP applications but also contributes to a more agile and responsive IT infrastructure. This integration allows enterprises to manage their SAP applications with greater flexibility, enabling them to scale operations in response to fluctuating demands without compromising on performance or user satisfaction.

How KeyCore Can Assist

KeyCore, as Denmark’s leading AWS consultancy, is well-equipped to assist organizations in enhancing their SAP workloads using AWS solutions. With profound expertise in both professional and managed services, KeyCore offers strategic guidance and implementation support to optimize your SAP environments for improved scalability and reliability. Whether it’s configuring the AWS Application Load Balancer or integrating additional AWS services, KeyCore ensures that your SAP infrastructure is robust, efficient, and future-ready.

To explore how KeyCore can transform your SAP operations with AWS, visit our website for more information.

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AWS for Industries

Transforming Retail Insights with Generative AI on AWS

Tapestry, a global luxury fashion holding company responsible for brands like Coach, Kate Spade New York, and Stuart Weitzman, is leveraging AWS to harness generative AI for transforming retail insights. With over 1,400 retail stores and a workforce exceeding 18,000 employees, Tapestry has access to a vast amount of data that, when analyzed efficiently, can significantly enhance customer experiences and optimize operational efficiency. AWS provides the robust infrastructure and scalable AI solutions needed to process and analyze this data, allowing Tapestry to generate actionable insights that drive business value and enrich the customer journey.

Exploring Genomic Variation Using AWS

Understanding genomic variations across different populations is essential in advancing precision medicine and evolutionary studies. The complexity and resource requirements inherent in analyzing large genetic datasets can be daunting. AWS offers scalable tools that simplify the analysis of genomic data, making it more efficient and insightful. Through initiatives like the 1000 Genomes Project, researchers have access to AWS’s comprehensive suite of analytical tools, enabling them to conduct cross-population genetic studies with improved accuracy and reduced computational burdens.

Innovating Broadcast Networks with AWS CloudWAN

DISH Technologies, a leader in satellite television and broadband services, is revolutionizing its broadcast network by utilizing AWS CloudWAN. This innovation allows DISH to enhance its digital entertainment and information service delivery. Since its establishment in 1980, DISH has been at the forefront of technological advancements, and by integrating AWS CloudWAN, the company can seamlessly manage and optimize its network operations. AWS CloudWAN offers a scalable and flexible infrastructure, enabling DISH to efficiently distribute content across its vast customer base.

Cloud Adoption Trends in Financial Market Infrastructure

Financial Market Infrastructure providers (FMIs) are accelerating their cloud adoption strategies, particularly in the latter half of 2024. Key players like exchanges, clearing houses, and security depositories are migrating critical workloads to AWS, enhancing operational efficiency across various business lines. This trend is driven by the need for improved scalability, resilience, and cost-effectiveness, which AWS’s cloud solutions can offer. As FMIs continue to adopt these technologies, they are better positioned to handle the dynamic demands of the financial markets.

Centralizing Renewable Operations Globally with AWS

The energy sector has seen a significant shift from fossil fuels to renewable energy sources over the past two decades. AWS enables the centralization of renewable operations worldwide, facilitating the efficient management of decentralized energy resources like wind and solar. By leveraging AWS’s robust infrastructure and cloud solutions, energy companies can optimize their operations, enhance grid reliability, and contribute to global decarbonization efforts. AWS’s scalable and flexible cloud platform supports the integration of renewable energy into the power grid, promoting sustainable energy solutions.

First Half 2024 Cloud Adoption Insights for Financial Market Infrastructure

Reflecting on the first half of 2024, Financial Market Infrastructure providers have been proactive in adopting cloud technologies. With AWS’s array of cloud solutions, these institutions can improve their service delivery and operational agility. The migration to cloud platforms is driven by the need for enhanced security, scalability, and performance, which are critical in supporting the evolving demands of the financial sector. As exchanges, clearing houses, and security depositories embrace cloud computing, they position themselves to better serve their stakeholders while navigating the dynamic financial landscape.

How KeyCore Can Assist

KeyCore, as the leading AWS consultancy in Denmark, offers both professional and managed services to help businesses navigate their AWS journey. Whether it’s leveraging AI for retail insights, conducting genomic research, innovating networks, or centralizing renewable operations, KeyCore provides the expertise needed to maximize AWS’s capabilities. Our team can assist in designing, implementing, and managing cloud solutions tailored to specific industry needs, ensuring optimal performance and business outcomes. Explore our offerings at KeyCore.dk to see how we can support your AWS initiatives.

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AWS Messaging & Targeting Blog

Automate Workflows with WhatsApp Using AWS End User Messaging Social

In today’s digital landscape, WhatsApp stands out as a vital communication tool, boasting over 2.7 billion users globally. For businesses, especially those engaging in customer interactions, WhatsApp offers a valuable opportunity to expand reach and enhance customer engagement. By integrating AWS End User Messaging Social with WhatsApp, enterprises can streamline their workflows. This integration not only automates customer communication but also ensures messages are delivered efficiently and effectively.

As businesses increasingly rely on digital communication, adopting AWS solutions for messaging can significantly enhance operational efficiency. AWS End User Messaging Social allows businesses to manage communication channels seamlessly, ensuring that customer engagement is both interactive and scalable. By leveraging this service, companies can create automated workflows that respond to customer inquiries in real-time, enhancing customer satisfaction and streamlining operations.

Cyber Security Cloud, Inc. Accelerates Sales with CloudSmart Insights and Amazon SES

In a digital era where customer engagement is paramount, Cyber Security Cloud, Inc. has effectively utilized CloudSmart Insights and Amazon Simple Email Service (SES) to accelerate sales. By employing sales intelligence, the company has optimized its outreach strategy, which is crucial for understanding customer behavior and attracting prospects with targeted messaging. This approach ensures that sales and marketing efforts are focused on areas with the highest potential impact.

CloudSmart Insights provides in-depth data analysis, allowing businesses to tailor their messaging and outreach strategies. With Amazon SES, companies can send reliable, scalable, and cost-effective email communications to their customers. This combination of tools empowers businesses to enhance their sales processes and improve customer engagement, ultimately driving growth and increasing revenue.

How to Manage Global Sending of SMS with Amazon Pinpoint

Amazon Pinpoint enables businesses to send SMS to 240 countries and regions, making it a versatile tool for companies aiming to reach a global audience. Unlike personal SMS, Application to Person (A2P) messaging involves navigating complex regulations and requires robust infrastructure. Amazon Pinpoint simplifies this process, offering businesses a scalable and compliant solution.

With its global reach, Amazon Pinpoint supports businesses in expanding their customer communication strategies, ensuring messages reach their target audience efficiently. By utilizing Amazon Pinpoint, businesses can manage large-scale messaging campaigns easily, adhering to diverse international regulations while maintaining high delivery rates. This tool is essential for businesses seeking to maintain a competitive edge in global markets.

How KeyCore Can Help

KeyCore, Denmark’s leading AWS consultancy, offers expert guidance on integrating AWS messaging services like WhatsApp with AWS End User Messaging Social, optimizing email strategies with Amazon SES, and managing global SMS campaigns with Amazon Pinpoint. Our team can help businesses implement these advanced solutions, enhancing engagement strategies and ensuring compliance with international regulations. Visit our website at KeyCore to learn more about how we can assist your business in mastering AWS messaging services.

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AWS Marketplace

In 2024, AWS introduced a suite of new features designed to empower sellers on the AWS Marketplace. These enhancements streamline operations, improve efficiency, and offer sellers more tools to manage their listings effectively. Here’s an overview of these features, their significance, and what they mean for AWS Marketplace sellers.

Enhanced Seller Operations

Among the notable features are improved analytics and reporting tools that allow sellers to gain deeper insights into buyer behavior and sales trends. These analytics capabilities enable sellers to make data-driven decisions, optimizing their product offerings and marketing strategies. Additionally, the introduction of automated billing and invoicing processes reduces manual workload, allowing sellers to focus more on core business activities.

Improved Listing Management

The new features also include advanced listing management tools. Sellers can now update product information more efficiently and ensure their offerings remain competitive and accurate. This streamlined approach helps maintain seller reputation and ensures that customers always have access to the most current product information. Moreover, enhanced API integrations facilitate seamless updates and integration with existing systems, further reducing operational overhead.

Security and Compliance

Security remains a top priority, and AWS has introduced new compliance tools to help sellers meet industry standards and regulations effortlessly. These tools provide automated checks and balances, helping to protect sensitive data and reduce the risk of non-compliance. With these enhancements, AWS Marketplace sellers can confidently focus on expanding their market reach without compromising on security.

KeyCore’s Expertise

As a leading AWS consultancy, KeyCore offers expert guidance in leveraging these new AWS Marketplace features. KeyCore assists sellers in configuring and integrating these tools into their operations, ensuring a seamless transformation. With managed services and professional consulting, KeyCore helps sellers optimize their presence on the AWS Marketplace, drive sales, and maintain compliance, enabling them to benefit fully from AWS’s latest advancements.

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

Amazon Redshift Enhances Security by Changing Default Behavior in 2025

Amazon Redshift, a leading petabyte-scale data warehouse solution, is updating its security defaults to bolster the protection of customer workloads. Beginning in 2025, newly created provisioned clusters, Redshift Serverless workgroups, and clusters restored from snapshots will experience changes to their security configurations. These updates are designed to enhance the default security posture, reducing the manual effort required to secure data warehouses effectively. By standardizing these security measures, AWS aims to mitigate potential vulnerabilities and align with best practices in data protection, offering enhanced peace of mind for organizations leveraging Redshift for critical data operations.

Deploying Amazon OpenSearch Clusters for Amazon Security Lake Logs

A comprehensive guide has been provided for deploying Amazon OpenSearch clusters to efficiently ingest logs from Amazon Security Lake. This process involves configuring log ingestion, leveraging the Open Cybersecurity Schema Framework (OCSF) 1.1, to integrate multiple log sources from across AWS environments. The updated guidance emphasizes clarity and compatibility, making it easier for security teams to respond to and investigate security events. By aligning log ingestion with OpenSearch, organizations can centralize their security data, streamlining threat detection and response processes.

Aligning with the NIST Cybersecurity Framework in AWS

A revised whitepaper details how AWS services align with the new NIST Cybersecurity Framework (CSF) 2.0 standards. Released in February 2024, these updates reflect significant changes in cybersecurity protocols. The whitepaper provides insights into how AWS supports the CSF, helping organizations implement robust cybersecurity measures using AWS services. This alignment not only facilitates compliance with industry standards but also enhances the security posture of AWS deployments, making it easier for organizations to manage cybersecurity risks.

Evaluating Amazon GuardDuty Detections

Amazon GuardDuty offers a proactive approach to threat detection, utilizing threat intelligence feeds and machine learning models to monitor AWS data sources and logs. The service helps identify suspicious activities and potential threats within AWS environments. By evaluating GuardDuty detections, organizations can fine-tune their security strategies, ensuring that potential threats are identified and mitigated swiftly. This enhances overall security posture and reduces the likelihood of data breaches.

AWS Firewall Manager: Balancing Central Security with Flexibility

AWS Firewall Manager facilitates the application of centralized security policies across AWS accounts and resources, utilizing AWS WAF rules for web access control. This tool allows organizations to establish common security standards while maintaining flexibility for application teams. By harmonizing these objectives, Firewall Manager ensures that security practices are consistently applied, reducing the risk of configuration drift and enhancing overall security governance.

Upcoming Changes to AWS Security Token Service Global Endpoint

AWS has announced forthcoming changes to the AWS Security Token Service (STS) global endpoint. Initially launched with a single global endpoint in 2011, STS now supports Regional endpoints, which were introduced in 2015. The shift aims to reduce dependency on a single Region, allowing customers to leverage STS in the same Region as their other resources. This change enhances availability and resilience, optimizing security token management across AWS environments.

Building a Culture of Security with the BBC

AWS emphasizes the human aspect of cybersecurity through its partnership with the BBC. The collaboration highlights the AWS Security Guardians program, an initiative designed to foster a culture of security awareness among employees. By focusing on the human side of cybersecurity, the partnership underscores the importance of integrating security best practices into organizational cultures, thereby enhancing overall security resilience.

2024 C5 Type 2 Attestation Report

AWS has successfully completed the 2024 Cloud Computing Compliance Controls Catalogue (C5) attestation cycle, with 179 services in scope. This achievement demonstrates AWS’s commitment to meeting stringent compliance requirements, particularly for customers in Germany and Europe. The C5 attestation reassures customers of AWS’s capabilities in adhering to elevated standards, facilitating compliance with regulatory requirements across the cloud landscape.

How KeyCore Can Help

KeyCore, as the leading AWS consultancy in Denmark, offers unparalleled expertise in AWS security, identity, and compliance. Our team can assist in implementing enhanced security configurations for Amazon Redshift, guide the deployment of OpenSearch for log ingestion, and ensure compliance with frameworks like the NIST CSF. We are equipped to evaluate and optimize use of services like GuardDuty and Firewall Manager, ensuring your AWS environment is secure and compliant. Whether you need strategic advice or technical implementation, KeyCore is here to support your AWS journey.

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Front-End Web & Mobile

In today’s data-driven digital ecosystem, scalable search solutions are crucial for organizations handling vast and complex datasets. Whether it’s a streaming platform, an e-commerce marketplace, or a research database, efficiently searching both structured and unstructured data is vital for a seamless user experience.

Challenges with Traditional Search Solutions

Traditional search systems often face limitations in handling large-scale data due to scalability constraints. These systems may struggle with high query volumes and diverse data types, leading to performance bottlenecks and a subpar user experience.

Leveraging AWS Amplify and OpenSearch Serverless

AWS Amplify and OpenSearch Serverless offer a modern approach to building scalable search solutions. AWS Amplify provides an easy-to-use interface for front-end web and mobile applications, integrating with powerful backend services. OpenSearch Serverless, on the other hand, delivers a scalable, managed search service that eliminates the need for server management and reduces operational overhead.

By combining these two technologies, developers can create highly responsive and scalable search solutions. This approach supports a wide range of use cases, from real-time analytics to personalized search experiences, while optimizing resource usage and cost.

Benefits of a Scalable Search Solution

Implementing a scalable search solution enhances user engagement by delivering rapid and relevant search results. Organizations can improve data accessibility, streamline information retrieval, and support advanced filtering and sorting capabilities. This ultimately drives customer satisfaction and boosts business outcomes.

How KeyCore Can Assist

KeyCore can help organizations leverage AWS Amplify and OpenSearch Serverless to build robust search solutions tailored to their specific needs. With our expertise in AWS technologies, we provide comprehensive support in designing, implementing, and optimizing scalable search architectures. Partnering with KeyCore ensures that businesses can harness the full potential of their data and deliver superior user experiences.

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AWS Contact Center

In today’s fast-paced world, customers have high expectations for seamless, efficient, and personalized interactions. Cloud technology is a game-changer in transforming traditional systems into dynamic solutions to meet these demands. One of the most significant advancements in this area is the shift to cloud-powered, conversational Interactive Voice Response (IVR) systems.

Revolutionizing Customer Engagement

Modern voice experiences are redefining customer engagement by leveraging cloud technology. These advanced systems employ Natural Language Processing (NLP) and machine learning to understand and respond to customer queries intelligently. This results in a more intuitive and human-like interaction, which significantly enhances the customer experience.

Benefits of Cloud-Powered IVR Systems

Cloud-powered IVR systems offer numerous benefits. They can handle more complex queries and provide faster resolutions, reducing wait times and increasing customer satisfaction. They also enable businesses to scale operations easily, as cloud resources can be adjusted based on demand. Furthermore, these systems gather valuable data to provide insights into customer behaviors, allowing businesses to continuously improve their services.

Personalization and Efficiency

These systems are designed to offer personalized experiences by recognizing returning customers and tailoring responses based on previous interactions. This level of personalization cultivates customer loyalty and builds trust. Additionally, by automating routine inquiries, human agents are freed to handle more complex issues, thus improving overall efficiency.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in deploying and optimizing cloud-based solutions, including IVR systems. We provide professional services to customize these systems according to business needs and managed services to ensure ongoing optimization and maintenance. Leveraging our deep understanding of AWS technologies, we help businesses transform their customer engagement strategies, ensuring they remain competitive in a rapidly evolving market. Visit KeyCore to learn more about how we can assist with your cloud transformation journey.

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Innovating in the Public Sector

Zero trust security is vital for the public sector in the US, especially with increasing cyber threats targeting government agencies. The federal mandate outlined in Executive Order M-22-09 emphasizes the need for zero trust architecture (ZTA), requiring a comprehensive security framework that continuously verifies trust for every access request. Cisco Umbrella for Government, built on AWS, is instrumental in achieving ZTA by offering multi-layered security and detailed visibility both on-premises and in the cloud. This enhances the capability of government agencies to protect sensitive information effectively.

Building secure health data platforms in line with the European Health Data Space (EHDS) is crucial for secondary data usage. AWS provides a technical guide to creating such platforms, focusing on federated data governance and analysis. This guide is designed for healthcare organizations, technology providers, and system integrators. It delivers the technical knowledge needed to build secure and scalable data platforms that align with EHDS regulations, ensuring that sensitive health data is handled with care while facilitating valuable insights.

Data sharing is key for informed decision-making and fostering innovation in the public sector. AWS offers a robust suite of tools and services for secure data distribution at scale. Whether it involves sharing public data for societal benefit, commercializing private datasets, or enabling collaboration, AWS provides the necessary infrastructure. This ensures data is disseminated efficiently and securely, supporting both public and private sector goals.

Seattle University embarked on an 8-year cloud transformation journey, leveraging AWS to innovate its IT landscape. With a focus on educational excellence, the university began migrating critical applications to the AWS Cloud in 2016. Now, more than 50 percent of its applications are cloud-based, with efforts underway to migrate the rest. This journey illustrates the benefits of adopting cloud technology for higher education institutions, resulting in enhanced operational efficiency and innovation.

Government agencies manage vast amounts of documentation, which often leads to inefficiencies due to manual processing. AWS offers intelligent document processing (IDP) solutions to modernize these workflows. By automating document handling, agencies can reduce errors, improve efficiency, and enhance service delivery. This transformation not only streamlines operations but also boosts satisfaction among employees and stakeholders.

Public sector agencies face challenges with real-time data access. Amazon Bedrock Agents and Powertools for AWS Lambda address these challenges by providing tools for efficient data processing. These solutions offer practical applications in the public sector, enhancing productivity and enabling real-time data accessibility. The post also discusses technical implementation and best practices, ensuring agencies can maximize these tools’ potential.

KeyCore, as Denmark’s leading AWS consultancy, offers extensive expertise in implementing AWS solutions across various sectors. From zero trust architecture to cloud transformation and data platform development, KeyCore provides professional and managed services to help organizations leverage AWS effectively. With specialized knowledge, KeyCore ensures that clients achieve optimal results, enhancing security, efficiency, and innovation.

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AWS Open Source Blog

Kube Resource Orchestrator: Transforming from Experiment to Community Project

Kube Resource Orchestrator (kro) made its debut as an experimental project at KubeCon North America in November of last year. The initial reception was overwhelmingly positive. Kro is designed to simplify resource management within Kubernetes environments, and its simplicity has sparked innovative solutions to common issues faced by platform teams.

Platform teams have particularly shown interest in kro’s capabilities to streamline operations and manage Kubernetes resources effortlessly. The project has matured from its experimental phase and is now embraced by the community, reflecting its growing importance and utility. The journey from an experimental idea to a fully-fledged community project highlights the continuous evolution and collaborative effort in enhancing Kubernetes environment management.

SonarQube Cloud: Enhancing API Performance with Lambda SnapStart and Micronaut

SonarQube Cloud, a SaaS solution developed by Sonar, provides a comprehensive platform for code analysis. It leverages advanced static analysis techniques to automatically identify and resolve code quality issues, security vulnerabilities, and technical debt. The platform supports over 30 programming languages, frameworks, and infrastructure as code (IaC) platforms, making it a versatile tool for developers.

To improve API performance, Sonar has integrated AWS Lambda SnapStart and Micronaut into their architecture. Lambda SnapStart optimizes function performance by pre-warming execution environments, reducing cold start latency significantly. Meanwhile, the Micronaut framework enhances application startup time and runtime efficiency. This combination ensures that SonarQube Cloud provides fast, reliable, and scalable code analysis services, meeting the high-performance demands of modern software development.

KeyCore’s Expertise in Kubernetes and API Performance

KeyCore, as the leading Danish AWS consultancy, can assist organizations in optimizing Kubernetes resource management through projects like kro. Our team of AWS experts can guide businesses in leveraging community-driven tools to streamline operations and enhance efficiency. Furthermore, KeyCore’s proficiency in AWS Lambda and Micronaut allows us to offer solutions that improve API performance, ensuring robust and scalable cloud applications.

By partnering with KeyCore, organizations can harness the power of AWS services and open-source projects to achieve their business objectives efficiently and effectively.

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