Summary of AWS blogs for the week of monday Mon Jun 24

In the week of Mon Jun 24 2024 AWS published 80 blog posts – here is an overview of what happened.

Topics Covered

AWS DevOps Blog

GitHub Actions is a continuous integration and continuous deployment (CI/CD) platform that automates the build, test, and deployment processes for various workloads. One of its features, Self-Hosted Runners, allows organizations to execute these pipelines on their own infrastructure. This offers flexibility and customization, providing greater control over the build environments.

Introduction to GitHub Self-Hosted Runners

GitHub Self-Hosted Runners provide an alternative to GitHub’s cloud-hosted runners. By using self-hosted runners, teams can utilize their own hardware resources, enabling them to run jobs on specialized environments that are not available in GitHub-hosted environments. This is particularly beneficial for workloads that require unique software dependencies or hardware configurations.

Scaling Self-Hosted Runners on AWS

Running self-hosted runners at scale requires careful planning and architecture. AWS offers a range of services to facilitate this, including Amazon EC2 for scalable compute resources, AWS Auto Scaling for dynamic scaling, and AWS Systems Manager for managing the runner instances. By leveraging these services, organizations can efficiently manage the lifecycle of self-hosted runners, ensuring they are cost-effective and performant.

Best Practices

When deploying self-hosted runners on AWS, several best practices should be followed:

  • Automation: Use AWS CloudFormation or AWS CDK to automate the provisioning and management of the runners. This ensures consistency and reduces manual effort.
  • Security: Implement strict IAM policies to control access to runner instances. Use AWS Secrets Manager to manage sensitive information like GitHub tokens.
  • Monitoring: Set up comprehensive monitoring using Amazon CloudWatch to track performance and detect issues early.
  • Cost Management: Use AWS Auto Scaling to scale runner instances based on demand, and consider using Spot Instances to reduce costs.

How KeyCore Can Help

KeyCore, the leading AWS consultancy in Denmark, can assist organizations in setting up and managing self-hosted GitHub Action runners on AWS. Our expertise in AWS automation, security best practices, and cost optimization ensures that your CI/CD pipelines are scalable, secure, and efficient. Whether you need help with initial setup or ongoing management, KeyCore’s team of AWS experts is here to support your DevOps journey.

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SAP Convergent Mediation (SAP CM) by DigitalRoute is an integral part of the SAP Billing and Revenue Innovation Management (SAP BRIM) solution. It enables customers to track and orchestrate their billing processes efficiently. Deploying SAP CM on AWS can significantly enhance its availability and scalability through the use of AWS Auto Scaling.

Benefits of SAP CM on AWS

By leveraging AWS Auto Scaling, businesses can ensure their SAP CM deployment adjusts seamlessly to fluctuating workloads. This adaptability not only optimizes resource usage but also minimizes downtime, ensuring continuous monitoring and billing operations. Furthermore, AWS’s global infrastructure enhances the reliability and performance of SAP CM deployments.

How AWS Auto Scaling Works

AWS Auto Scaling automatically adjusts the number of EC2 instances in a deployment based on predefined policies and real-time metrics. This dynamic scaling ensures that the system handles peak loads efficiently and scales down during low demand periods, reducing costs. Integration with CloudWatch allows for real-time monitoring and automatic scaling actions triggered by custom metrics.

Implementation Steps

To implement AWS Auto Scaling for SAP CM, start by defining the scaling policies based on historical workload patterns and performance indicators. Next, configure CloudWatch to monitor key metrics such as CPU usage, memory consumption, and network throughput. Finally, set up Auto Scaling groups that will launch or terminate instances as needed to maintain optimal performance.

Business Value

Implementing AWS Auto Scaling for SAP CM can lead to significant cost savings by tailoring resource usage to actual demand. Enhanced availability ensures that billing processes are uninterrupted, leading to more efficient revenue management. This scalability also supports business growth, allowing SAP CM deployments to handle increasing workloads without manual intervention.

How KeyCore Can Help

KeyCore offers expert guidance and support in deploying and optimizing SAP CM on AWS. Our team can assist in designing auto-scaling policies, setting up CloudWatch monitoring, and configuring Auto Scaling groups to ensure your deployment is resilient and cost-effective. With extensive experience in both AWS and SAP solutions, KeyCore can help you achieve maximum performance and reliability for your billing operations.

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Official Machine Learning Blog of Amazon Web Services

NinjaTech AI aims to enhance productivity by handling complex tasks with AI agents. They launched, a multi-agent AI assistant capable of scheduling meetings, conducting web research, generating code, and aiding in writing. These AI agents work autonomously and asynchronously, learning from past experiences to improve future performance, enabling users to focus on higher-priority tasks.

Building Generative AI Applications on Amazon Bedrock

Amazon Bedrock is a managed service offering access to large language models (LLMs) and foundational models from leading AI companies. It simplifies the integration of generative AI into applications, providing a secure and compliant foundation for creating text, images, audio, and code. This service is ideal for developers and businesses looking to harness the power of generative AI.

Creating Conversational Chatbots with Multiple LLMs

Generative AI allows foundation models to generate diverse content types. Choosing the right model involves selecting from various providers like Amazon, Anthropic, AI21 Labs, Cohere, and Meta. These models can work with different data formats, making them versatile for various applications, such as answering questions and summarizing text.

Automating Derivative Confirms Processing in Capital Markets

Using AWS AI services, one can automate the processing of derivative confirms at scale. This solution leverages Amazon Textract to extract text and data from scanned documents and AWS Serverless technologies for seamless integration and management of applications without the need for server management. It streamlines workflows and enhances operational efficiency in capital markets.

AI-Powered Assistants for Investment Research

Following the exploration of generative AI and multi-modal agents in financial markets, AI-powered assistants can significantly enhance investment research. These assistants utilize data from multiple sources to provide valuable business insights. Amazon Bedrock plays a crucial role in integrating these AI capabilities into financial services, driving better decision-making and research efficiency.

Introducing AI21 Labs Jamba-Instruct Model in Amazon Bedrock

Amazon Bedrock now includes the AI21 Labs Jamba-Instruct model, featuring a 256,000-token context window. This model is particularly useful for processing large documents and complex Retrieval Augmented Generation (RAG) applications. Jamba-Instruct is an instruction-tuned LLM designed to handle extensive and intricate data sets efficiently.

Monitoring ML Workloads on Amazon EKS with AWS Neuron Monitor

AWS Neuron Monitor container enhances monitoring for AWS Inferentia and AWS Trainium chips on Amazon EKS. It integrates advanced tools like Prometheus and Grafana, simplifying ML workload monitoring. This solution helps maintain performance and efficiency in machine learning workflows, providing robust visibility and management capabilities.

Automated Insight Extraction for Customer Feedback

Integrating LLMs into enterprise applications can streamline customer feedback analysis. Leveraging Amazon Bedrock and Amazon QuickSight, developers can quickly deploy or modify workflows for insight extraction. This automation enhances customer feedback processing, offering valuable insights to drive business improvements.

Building Responsible Generative AI Applications

Generative AI enables human-like conversations and content creation, but it requires proper implementation to avoid issues like misinformation and undesirable outputs. Implementing guardrails ensures safe and responsible AI applications, maintaining trust and reliability in AI-powered solutions.

Enhancing Amazon Bedrock with Amazon CloudWatch

Amazon CloudWatch provides extensive visibility into Amazon Bedrock workloads. Customizable dashboards offer insights into usage and performance, enabling end-to-end visibility. This feature is particularly useful for applications leveraging Retrieval Augmented Generation, enhancing operational monitoring and management.

Implementing Exact Match with Amazon Lex QnAIntent

Amazon Lex QnAIntent, powered by Amazon Bedrock, enables natural language understanding for real-time conversational experiences. It leverages a knowledge base to provide accurate responses, enhancing the user experience with precise and contextually relevant interactions.

Accelerating Generative AI Development with Amazon SageMaker Ground Truth

Krikey AI uses Amazon SageMaker Ground Truth to revolutionize 3D animation creation. This platform allows users to generate high-quality animations using text or video inputs, without prior animation experience. SageMaker Ground Truth accelerates the development process, offering a powerful solution for innovative 3D content creation.

How KeyCore Can Assist

KeyCore offers expert guidance and implementation services for all aspects of AWS AI and machine learning. Whether integrating Amazon Bedrock, automating workflows with Amazon Textract, or enhancing visibility with Amazon CloudWatch, KeyCore provides tailored solutions to optimize your AI and ML deployments, ensuring robust and efficient operations. Visit KeyCore’s website to learn more about their services and how they can assist with your AWS projects.

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Announcements, Updates, and Launches

Amazon WorkSpaces Pools offers a cost-effective solution for non-persistent virtual desktops. This service allows users to streamline virtual desktop management by provisioning non-persistent desktops, configuring apps and resources, and automatically scaling capacity based on demand. All of these features can be managed from a centralized platform, making it easier for IT administrators to handle their virtual desktop infrastructure efficiently.

With the introduction of end-to-end data lineage visualization in Amazon DataZone, users can now trace data from its origin to insights using an intuitive visual graph. This feature empowers engineers, analysts, and administrators to validate data provenance, troubleshoot data pipelines, and ensure data governance with ease. The visual representation simplifies the process of understanding complex data flows and enhances the overall data management experience.

Amazon CodeCatalyst has expanded its capabilities to support GitLab and Bitbucket repositories. This integration allows users to manage their code across popular git repositories seamlessly. Additionally, Amazon CodeCatalyst offers blueprints and the Amazon Q feature development, which helps streamline the development process. These new features and integrations make it easier for development teams to collaborate and maintain their codebases efficiently.

Amazon Simple Queue Service (SQS) has been optimized for speed and scale, enhancing its performance, scaling capabilities, and energy efficiency without impacting existing behavior. This behind-the-scenes improvement is part of AWS’s continuous efforts to enhance their services. Users can now enjoy faster and more efficient message queuing, which is crucial for building scalable and reliable applications.

The AWS Weekly Roundup for June 24, 2024, highlights several exciting updates. Among them is the new Anthropic Claude 3.5 Sonnet model in Amazon Bedrock, which impressed users with its speed and accuracy. The roundup also covered updates in Amazon CodeCatalyst, SageMaker’s integration with MLflow, and more. The AWS Summit Japan was also featured, where the JAWS-UG, a Japanese AWS user group, held various sessions with AWS Heroes and Community Builders, showcasing the vibrant AWS community in Japan.

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In modern application architectures, provisioning load balancers directly from Kubernetes clusters has been the norm for exposing services. However, this method does not always align with the architecture of certain applications. To address this need, the AWS Load Balancer Controller offers an alternative mechanism through TargetGroupBinding.

Understanding TargetGroupBinding

TargetGroupBinding provides a more flexible way to associate Kubernetes services with AWS load balancers. This mechanism enables granular control over the load balancer configuration and supports additional features. It is particularly useful in scenarios where the native Kubernetes method falls short.

Patterns for Implementation

Several patterns can be employed when using TargetGroupBinding with the AWS Load Balancer Controller:

  • Service-Linked Ingress: This pattern links a Kubernetes service directly to a target group, which is useful for applications that require direct load balancer interaction.
  • Multi-Service Ingress: Supports multiple services behind a single load balancer, optimizing resource utilization and simplifying management.
  • Dynamic Scaling: Automatically adjusts the number of running instances to handle changes in load, ensuring optimal performance.

These patterns enhance flexibility, scalability, and manageability. They enable developers to tailor the load balancing configuration to meet specific application requirements.

Business Value

The ability to choose from different patterns provides businesses with the flexibility to optimize their infrastructure for cost and performance. The TargetGroupBinding mechanism reduces complexity and aligns better with diverse architectural requirements, leading to improved application performance and reliability.

Amazon Elastic Container Service (Amazon ECS) Service Connect is a feature that enhances the connectivity of ECS services. It provides a secure and scalable way to connect different ECS deployments, enabling seamless communication between microservices.

Core Features of Amazon ECS Service Connect

  • Service Discovery: Simplifies the process of locating services within the cluster, making it easier for services to communicate with each other.
  • Load Balancing: Ensures even distribution of network traffic among service instances, improving the resilience and performance of applications.
  • Network Traffic Metrics: Provides insights into the network traffic, enabling proactive monitoring and scaling.

Proactive Scaling with Amazon ECS Service Connect Metrics

Using metrics provided by Amazon ECS Service Connect, businesses can implement proactive scaling of ECS services. This ensures that the infrastructure scales according to traffic patterns, maintaining optimal performance and cost-efficiency.

How KeyCore Can Help

KeyCore offers expertise in deploying and managing AWS-based container solutions. With a deep understanding of ECS, EKS, and AWS Load Balancer Controller, KeyCore can help businesses design, implement, and optimize their containerized applications. Whether it’s configuring TargetGroupBinding or setting up proactive scaling with ECS Service Connect, KeyCore provides the necessary support to ensure seamless and efficient operation of containerized environments.

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Official Database Blog of Amazon Web Services

In this summary, we explore a variety of topics from the official database blog of Amazon Web Services, ranging from creating knowledge graph applications with Amazon Neptune to automating cross-account backups for Amazon RDS for Oracle. Each section delves into the specifics of implementing these AWS solutions, offering both technical insights and business value.

Create a Knowledge Graph Application with Metaphactory and Amazon Neptune

Building a knowledge graph application using metaphactory and Amazon Neptune involves leveraging SPARQL queries to drive dynamic, model-driven components. Metaphactory provides a user-friendly interface for exploring and searching Neptune graph data. By integrating these tools, users can develop robust graph applications that facilitate complex data relationships and insights.

Workaround for T-SQL Global Temporary Tables in Babelfish for Aurora PostgreSQL

Babelfish for Aurora PostgreSQL does not natively support T-SQL global temporary tables. However, this limitation can be overcome by using permanent tables to mimic the behavior of global temporary tables. This approach allows users to maintain compatibility with T-SQL applications while leveraging the benefits of Aurora PostgreSQL.

Configure SSL Encryption on an SAP ASE Source Endpoint in AWS DMS

Configuring SSL encryption for SAP ASE source endpoints in AWS Database Migration Service (DMS) ensures secure data transfer. The process involves setting up SSL on both the AWS DMS endpoints and the on-premises SAP ASE database. This encryption protects data in transit during the migration, enhancing security and compliance.

Amazon DynamoDB Use Cases for Media and Entertainment Customers

Amazon DynamoDB supports various use cases in the media and entertainment industry, such as streaming and media supply chain workloads. Companies like Disney, Warner Bros. Discovery, and ViacomCBS leverage DynamoDB for its scalability and performance. These capabilities help media enterprises manage large volumes of data efficiently.

Adding Real-Time ML Predictions for Your Amazon Aurora Database

Optimizing Aurora ML for real-time machine learning predictions involves performing inference against Amazon SageMaker endpoints at scale. This setup can handle high transaction volumes and multiple simultaneous database calls. Additionally, using SQL triggers for orchestration enables seamless predictive workflows without requiring additional services.

Automate Cross-Account Backup of Amazon RDS for Oracle

Automating cross-account backups of Amazon RDS for Oracle involves using AWS Backup and CloudFormation. This automation includes backing up database parameter groups, option groups, and security groups. This feature ensures consistent and reliable backups across multiple AWS accounts, reducing administrative overhead and enhancing data protection.

How PayU Uses Amazon Keyspaces (for Apache Cassandra) as a Feature Store

PayU leverages Amazon Keyspaces (for Apache Cassandra) to enable real-time, low-latency inference in its payment gateway solutions. This setup supports millions of daily transactions for over 500,000 businesses. By using Amazon Keyspaces as a feature store, PayU enhances its payment processing capabilities, ensuring quick and reliable service for its clients.

KeyCore can help businesses implement these advanced AWS solutions. With expertise in AWS services and a focus on delivering high-quality professional and managed services, KeyCore ensures your AWS infrastructure is optimized for performance, security, and scalability. Contact us to learn how we can support your AWS journey.

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AWS for Games Blog

When developing multiplayer games, it is crucial to test updates quickly. Amazon GameLift Anywhere and the Amazon GameLift Agent facilitate this by speeding up game server development and deployment. Below is a detailed look at how these tools can enhance game development workflows.

Fast Iteration with Amazon GameLift Anywhere

For game developers, fast iteration cycles are vital. With Amazon GameLift Anywhere, developers can deploy game servers on any hardware, from on-premises to the cloud. This flexibility allows for quicker testing and feedback on new features and bug fixes.

Amazon GameLift Anywhere supports various platforms, providing the means to automate the build and deployment processes seamlessly. This automation minimizes manual overhead, enabling developers to focus more on creating engaging game content.

Efficient Testing with Amazon GameLift Agent

The Amazon GameLift Agent enhances testing by managing game server processes and handling server health checks. This agent can run on different platforms, ensuring that the server environment closely matches the production setting. It allows developers to automate server lifecycle management, which enhances the reliability of server builds before full-scale deployment.

By using the GameLift Agent, developers can simulate real-world scenarios, detect issues early, and ensure the game servers are robust and ready for players. This ensures a smoother transition from development to live deployment.

Business Value

Integrating Amazon GameLift Anywhere and the Amazon GameLift Agent into the game development process can significantly reduce time-to-market. With faster iteration cycles, developers can release updates more frequently and maintain player engagement. Additionally, automated deployments mean fewer human errors, leading to more stable game servers and better player experiences.

How KeyCore Can Help

KeyCore offers deep expertise in AWS services, including Amazon GameLift. Our team can assist in integrating these tools into your development pipeline, optimizing your workflows, and ensuring that your game servers are deployed efficiently and reliably. Contact us to learn how we can accelerate your game development process.

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AWS Training and Certification Blog

In June 2024, AWS Training and Certification introduced a range of new learning opportunities and updates designed to help professionals enhance their skills and knowledge in key areas, including generative AI and machine learning (ML). Here’s a breakdown of the key updates:

New Digital Training Products

AWS launched 29 new digital training products on AWS Skill Builder, providing comprehensive and accessible resources for learners. Among these are 12 new generative AI digital courses, with eight available for free and four as paid options. These courses are designed to guide learners through the fundamentals and advanced concepts of generative AI.

New AWS Builder Labs and Digital Classroom Course

In addition to digital courses, AWS introduced two new AWS Builder Labs, allowing hands-on practice with AWS services in a sandbox environment. There is also a new AWS Digital Classroom course, offering an interactive and guided learning experience for those preferring a more structured approach.

Learning Plan for Aspiring Machine Learning Engineers

For those looking to specialize in machine learning, AWS has created a robust learning plan that covers essential ML topics and skills. This plan is designed to equip aspiring ML engineers with the knowledge needed to excel in their careers.

Generative AI Learning Experience for Leaders

AWS partnered with Udemy to launch a six-week generative AI learning experience tailored for leaders. This program aims to help leaders understand and leverage generative AI technologies within their organizations, driving innovation and efficiency.

New AWS Certifications and Exam Prep Materials

AWS announced two new certifications focused on AI and ML, catering to professionals looking to validate their expertise in these areas. Alongside these certifications, AWS provided supporting exam preparation materials to help candidates succeed.

How KeyCore Can Help

KeyCore is here to support professionals and organizations in navigating these new learning opportunities from AWS. With extensive experience in AWS services and training, KeyCore can help create customized learning plans, provide hands-on training sessions, and offer expert guidance to ensure successful certification and skill development. Whether looking to deepen knowledge in AI and ML or achieve new AWS certifications, KeyCore’s team of consultants and trainers is equipped to assist every step of the way.

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Official Big Data Blog of Amazon Web Services

Implementing disaster recovery with Amazon Redshift allows businesses to secure their data warehouse in the cloud. Amazon Redshift is a fully managed service capable of scaling from a few hundred gigabytes to multiple petabytes, ensuring data protection and business continuity. The disaster recovery plan’s objective is to safeguard data, minimize downtime, and enable rapid recovery in case of an unforeseen disaster. By leveraging Redshift’s built-in features, organizations can automate backup processes, replicate data across regions, and implement failover mechanisms to maintain data availability.

Building real-time streaming generative AI applications using Amazon Bedrock, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams provides businesses with immediate insights. Data streaming harnesses real-time data for generative AI, allowing rapid and responsive analytics. This integration uses managed services to process streaming data efficiently. The reference architecture includes a step-by-step guide on infrastructure setup, and sample code using the AWS Cloud Development Kit (AWS CDK) is available on GitHub. This comprehensive approach enables businesses to implement advanced AI capabilities seamlessly.

Amazon DataZone recently announced the general availability of custom AWS service blueprints. This feature allows users to customize their project environments using existing AWS Identity and Access Management (IAM) roles and services. By embedding these services into existing processes, organizations can streamline their workflows and enhance security. Custom blueprints enable more tailored environments, improving efficiency and integration with existing AWS infrastructure.

Accessing Amazon Redshift data from Salesforce Data Cloud with Zero Copy Data Federation enhances data integration across platforms. This collaboration allows the unification of data collected from various touchpoints into a central data warehouse or lake. Such integration is crucial for analytical and machine learning purposes, providing businesses with comprehensive insights. This seamless data access improves decision-making processes and operational efficiency.

Performing reindexing in Amazon OpenSearch Serverless using Amazon OpenSearch Ingestion simplifies data management. The post outlines steps to copy data between indexes within the same OpenSearch Serverless collection, especially useful for schema changes. OpenSearch Serverless and Ingestion services offer optimal performance and scalability, enabling seamless data workflows. This approach ensures data integrity and enhances the search experience.

Uncovering social media insights in real-time using Amazon Managed Service for Apache Flink and Amazon Bedrock leverages Retrieval Augmented Generation (RAG). RAG optimizes LLM outputs by referencing real-time tweets as context, providing accurate and relevant responses. This method enhances the capability of large language models (LLMs) to generate meaningful outputs, benefitting tasks like question-answering, language translation, and sentence completion. Real-time insights from social media enable businesses to stay updated with trends and customer sentiments.

Configuring a custom domain name for an Amazon MSK cluster supports better integration and accessibility. Amazon Managed Streaming for Kafka (Amazon MSK) runs open-source Apache Kafka versions, ensuring compatibility with existing applications, tools, and plugins. Custom domain names enable easier access and management of Kafka clusters, improving user experience and operational efficiency. This feature allows businesses to maintain consistent and predictable endpoints for their streaming applications.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, offers expertise in implementing and managing these advanced AWS services. Whether it’s establishing robust disaster recovery plans with Amazon Redshift, integrating real-time streaming AI applications, or customizing DataZone environments, KeyCore provides tailored solutions to meet your business needs. Our professionals are adept at optimizing data workflows, enabling seamless integration, and ensuring data security and availability. Partner with KeyCore to leverage AWS’s full potential and drive your business forward.

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Networking & Content Delivery

Designing secure and scalable tenant routing mechanisms is crucial for SaaS providers. Effective tenant routing ensures isolation, scalability, and security. This article explores strategies for routing HTTP requests in multi-tenant SaaS environments on AWS. It covers considerations, best practices, and example scenarios to help SaaS providers implement robust tenant routing.

Considerations for Tenant Routing

When designing tenant routing mechanisms, several factors need to be considered:

  • Security: Ensuring tenant data is isolated and secure.
  • Scalability: The system should handle a growing number of tenants seamlessly.
  • Performance: Routing should not introduce latency or bottlenecks.

Routing Strategies

Various strategies can be employed to route tenant requests effectively:

  • Path-Based Routing: Using URL paths to identify tenants, such as /tenant1/resource.
  • Subdomain Routing: Using subdomains like to differentiate tenants.
  • Token-Based Routing: Embedding tenant identifiers in tokens to route requests securely.

Each of these strategies has its benefits and trade-offs. For instance, path-based routing is straightforward but may complicate URL management. Subdomain routing offers clear isolation but requires DNS management. Token-based routing provides flexibility but demands robust token validation mechanisms.

Best Practices

To implement effective tenant routing, follow these best practices:

  • Use AWS Services: Leverage services like AWS API Gateway, AWS Lambda, and Amazon Route 53 to manage routing efficiently.
  • Ensure Isolation: Utilize AWS Identity and Access Management (IAM) and Amazon Virtual Private Cloud (VPC) for robust tenant isolation.
  • Monitor Performance: Implement monitoring and logging to ensure routing mechanisms are performing as expected. AWS CloudWatch and AWS X-Ray can be valuable tools for this purpose.

Example Scenarios

Consider a SaaS application where users from different organizations access shared resources. Path-based routing can be used to direct requests to the appropriate tenant resources. Alternatively, subdomain routing can isolate tenant environments more clearly, enhancing security.

How KeyCore Can Help

KeyCore specializes in designing and implementing secure, scalable tenant routing mechanisms for SaaS providers on AWS. With expertise in AWS services and best practices, KeyCore ensures seamless tenant isolation and performance optimization. Whether it’s path-based, subdomain, or token-based routing, KeyCore can tailor solutions to meet specific business needs. Reach out to KeyCore for professional and managed services to enhance your SaaS application’s routing strategies.

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AWS for M&E Blog

Media2Cloud on AWS Guidance: Scene and Ad-Break Detection and Contextual Understanding for Advertising Using Generative AI

Contextual advertising is a technique that matches advertisements to the content a user consumes, creating a tailored advertising experience. This involves three main players: publishers (those who own the website or content), advertisers, and consumers. Publishers offer the platform and content, advertisers create ads that fit the context, and consumers engage with the content, triggering relevant ads to display. A challenge in this ecosystem is maintaining the relevance and timeliness of these ads as the content evolves.

Generative AI plays a crucial role here. AI algorithms analyze the content to detect scenes and ad-breaks, ensuring ads are placed at optimal points. This enhances user experience and improves ad performance. AWS provides the infrastructure and tools necessary for implementing such AI-driven advertising solutions, making it easier for businesses to deploy and manage their contextual advertising strategies.

Create a Conda Package and Channel for AWS Deadline Cloud

AWS Deadline Cloud is a fully managed service that helps you set up a scalable visual compute farm in minutes. This is ideal for executing render jobs for digital content creation (DCC) applications like Blender, Houdini, Maya, and Nuke. The service is designed to provide a rapid, turn-key experience with its Service-Managed Fleets, which handle scaling and management of compute resources.

Creating a Conda package and channel specifically for AWS Deadline Cloud further streamlines the process. Conda, a package manager, simplifies environment management and deployment. By using Conda with Deadline Cloud, users can manage dependencies and software versions more efficiently. This leads to a more stable and reproducible rendering environment, contributing to smoother production workflows and reduced downtime.

Charting the Journey to IP Video Distribution

The transition to IP video distribution is revolutionizing the content journey, offering a more cost-efficient and sustainable future for the broadcast industry. This shift from traditional broadcast methods to IP-based systems is largely invisible to consumers but represents a significant technological advancement.

AWS Principal GTM Specialist Rory McVicar delves into this topic, highlighting the technical innovations driving this change. IP video distribution allows for greater flexibility in content delivery, better resource allocation, and improved scalability. It also supports new business models and revenue streams for broadcasters.

The integration of AWS services in IP video distribution provides the necessary infrastructure for these advancements. AWS offers scalable, cost-effective solutions that support the complex requirements of modern video distribution, enabling broadcasters to deliver high-quality content more efficiently.

How KeyCore Can Help

KeyCore is a leading AWS consultancy in Denmark, specializing in both professional and managed services. We offer tailored solutions to help businesses leverage AWS’s robust capabilities. Whether it’s implementing generative AI for contextual advertising, creating Conda packages for AWS Deadline Cloud, or transitioning to IP video distribution, our team of experts can guide you through each step. We ensure that your operations run smoothly and efficiently, maximizing your AWS investment. Contact KeyCore to learn how we can assist you in achieving your business goals with AWS.

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AWS Storage Blog

How London Stock Exchange Group Migrated 30 PB of Market Data Using AWS DataSync

London Stock Exchange Group (LSEG) manages a massive 30 PB of Tick History-PCAP data, which is raw exchange data timestamped to the nanosecond. Additionally, LSEG generates 60 TB of new data daily. They needed to migrate this immense dataset from Wasabi cloud storage to a new solution.

AWS DataSync provided a reliable, scalable, and secure method for transferring LSEG’s significant dataset. The service facilitated efficient data migration by automating and accelerating the data transfer process. Key components of the solution included configuring DataSync agents to read from Wasabi storage and write to Amazon S3, leveraging AWS’s robust and geographically dispersed infrastructure.

The migration to Amazon S3 helped LSEG enhance data accessibility and storage efficiency. The scalable nature of S3 allowed LSEG to handle their daily 60 TB data inflow without concerns about capacity or performance limitations. Moreover, the transition improved data durability and availability, aligning with LSEG’s stringent requirements for data integrity and accessibility.

How Fetch Reduced Latency on Image Uploads Using Amazon S3 Express One Zone

Fetch offers a platform where users can earn points by uploading their receipts for scanning. The company aimed to reduce the latency associated with image uploads to enhance the user experience.

By leveraging Amazon S3 Express One Zone, Fetch could store and retrieve receipt images more rapidly. This S3 storage class is designed for data that is accessed frequently but does not require the same resilience as multi-zone storage. It offers high performance at a lower cost, which was ideal for Fetch’s use case.

The solution provided by Amazon S3 Express One Zone significantly cut down the time it took for users to upload images, thereby streamlining the entire process. This improvement not only enhanced user satisfaction but also increased the likelihood of user engagement and retention.

How KeyCore Can Help

KeyCore specializes in AWS consulting, offering both professional and managed services to streamline your data migration and storage solutions. Whether dealing with large-scale data transfers like LSEG or optimizing performance for user-uploaded content like Fetch, KeyCore’s expertise ensures seamless and efficient transitions. Leverage our deep AWS knowledge to enhance your data management strategies and meet your business goals effectively.

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AWS Architecture Blog

The AWS Well-Architected Framework has been updated to offer more comprehensive guidance. This enhanced version provides expanded recommendations across all six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. Detailed implementation guidance for both new and existing best practices has been revised to be more prescriptive, offering actionable steps for improved cloud architecture.

The revised framework aims to help businesses build secure, high-performing, resilient, and efficient infrastructure for their applications. By following the enhanced guidance, organizations can better align their cloud infrastructures with best practices, ensuring long-term success and sustainability.

Six Pillars of AWS Well-Architected Framework

Operational Excellence: This pillar focuses on running and monitoring systems to deliver business value and continually improve processes and procedures.

Security: Security includes protecting information, systems, and assets while delivering business value through risk assessments and mitigation strategies.

Reliability: This pillar ensures that workloads perform their intended functions correctly and consistently when expected.

Performance Efficiency: This involves using IT and computing resources efficiently to meet system requirements and to maintain that efficiency as demand changes and technologies evolve.

Cost Optimization: Cost optimization is about avoiding unnecessary costs and being able to manage and allocate funds efficiently.

Sustainability: This newly added pillar focuses on environmental impacts, helping organizations reduce their cloud carbon footprint.

For more detailed information, refer to the AWS Well-Architected Framework documentation.

Migrating to the Cloud with AWS

In the digital era, migrating to the cloud offers unparalleled benefits, including scalability, agility, and cost-effectiveness. However, the migration process can be overwhelming without appropriate guidance. The “Let’s Architect!” blog series provides a structured approach to help businesses successfully migrate their data centers to the AWS cloud.

The series outlines the critical steps involved in cloud migration, from initial planning and assessment to execution and optimization. It emphasizes the importance of understanding your current environment, setting clear objectives, and choosing the right tools for migration.

Key Steps in Cloud Migration

Assessment: Understand your current IT landscape and identify the workloads that are suitable for migration.

Planning: Develop a comprehensive migration strategy that includes timelines, resources, and risk management plans.

Migration: Execute the migration using AWS migration tools and services, ensuring minimal disruption to your business operations.

Optimization: Post-migration, optimize your cloud environment to improve performance, cost-efficiency, and security.

The blog series also highlights various AWS services and tools that can facilitate a smooth transition, such as AWS Migration Hub, AWS Database Migration Service, and AWS Cloud Adoption Framework.

By following these guidelines, businesses can achieve a seamless migration, leveraging the full potential of AWS cloud services to drive innovation and growth.

For more detailed guidance, read the full series on AWS Architecture Blog.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, is here to assist with your cloud architecture and migration journey. Our expertise in AWS services ensures that your organization can optimize its use of the AWS Well-Architected Framework and execute successful cloud migrations. Whether you need professional services for a custom migration plan or managed services for ongoing cloud management, KeyCore has the solutions and expertise to meet your needs. Visit our website to learn more about how we can help your business succeed in the cloud.

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AWS Partner Network (APN) Blog

Clinical trials are essential for therapeutic development, relying heavily on comprehensive endpoint data. Decisions like patient enrichment and endpoint optimization are crucial for trial success. Advanced analytics help extract insights, aiding in targeted drug development. BluMaiden Biosciences leverages AWS to overcome data challenges, providing valuable clinical insights globally. Their AWS platform ensures efficient trial design and execution, saving time and money.

Transforming Cybersecurity Audits with AI

Neurons Lab, an AWS Advanced Tier Services Partner, partnered with Peak Defence to automate compliance processes using Amazon Bedrock with the Anthropic Claude 3 model and Amazon Sagemaker. This generative AI solution streamlines cybersecurity audits and RFP responses, significantly reducing the time and resources required. The approach includes architectural considerations, operationalization with various AWS services, LLM evaluation, and continuous improvement, showcasing how technology can enhance cybersecurity measures.

Integrating AWS Marketplace and AWS Partner Central

AWS launched the AWS Marketplace and AWS Partner Central Integration Journey Map, an interactive tool designed to streamline the experience for AWS Partners. This journey map guides partners through linking accounts, solutions, and opportunities, making it easier to integrate and leverage the AWS ecosystem effectively. The goal is to enhance partner efficiency and success through a more cohesive integration process.

Business Outcomes Xcelerator Program

AWS introduced the Business Outcomes Xcelerator (BOX) Program to help partners meet the demands of Line of Business (LOB) buyers and accelerate revenue growth. This program provides technology and services partners with tools, resources, and financial incentives to build, market, and sell outcome-driven solutions via AWS Marketplace. The BOX Program empowers partners to deliver differentiated value across various industries and use cases.

New Benefits for Managed Services Providers

Managed services are crucial for partner profitability and customer success, with 52% of customers requiring managed services as part of their partner procurement process. AWS announced new benefits for partners aiming to grow their managed services practice. These benefits include self-serve technical enablement, workshops with AWS experts, and discounts and credits to offset tooling costs. These enhancements aim to support partners in building, marketing, and expanding their managed services offerings.

KeyCore can provide expert guidance and support for any of these AWS initiatives. With our deep expertise in AWS services, we help clients harness the power of AWS to drive business outcomes efficiently. Whether it’s integrating AWS Marketplace and Partner Central, leveraging AI for cybersecurity, or optimizing clinical trials, KeyCore’s professional and managed services ensure success in the cloud. Visit KeyCore to learn more about how we can assist your organization.

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In marketing analytics, mixed media modeling (MMM) is a machine learning technique that combines information from various sources, such as TV ads, online ads, and social media, to measure the impact of marketing and advertising campaigns. By leveraging these techniques, businesses can make smarter decisions about where to invest their advertising budget, helping them optimize their return on investment. Vertical scaling and GPUs can significantly accelerate this process, enabling faster data analysis and more accurate predictions.

Benefits of Vertical Scaling and GPUs

Vertical scaling involves increasing the power of individual instances, which can handle more data and perform computations faster. GPUs are particularly adept at handling parallel processing tasks common in machine learning models. Together, they enable businesses to process large datasets quickly, leading to more timely and actionable insights.

How KeyCore Can Help

KeyCore can assist businesses in implementing vertical scaling and GPU acceleration in their marketing analytics efforts. Our expertise in AWS services ensures that clients can efficiently harness the power of the cloud to improve their decision-making processes.

Financial simulations often require significant computational power due to the complexity of numerical models. AWS offers scalable solutions that can handle these intensive tasks efficiently. By leveraging the cloud, businesses can perform large-scale financial modeling without the constraints of on-premises infrastructure.

Case Study: QuantLib and Monte Carlo Methods

In a real-world example, AWS was used to run financial simulations using QuantLib and Monte Carlo methods. These techniques are crucial for pricing derivatives and managing risk. By utilizing AWS, the simulations were completed more quickly, allowing financial analysts to make more informed decisions.

How KeyCore Can Help

KeyCore’s financial services team can help businesses implement AWS solutions for their financial simulations. Our deep knowledge of AWS tools ensures that clients can maximize the efficiency and accuracy of their models.

For those looking to optimize their high-performance computing (HPC) workloads on AWS, a new public GitHub repository offers a wealth of resources. Compiled by AWS HPC specialists, this library includes best practices, templates, and scripts to help users run their HPC codes more efficiently.

Resources Available in the GitHub Repo

The repository provides a range of tools and insights to help users optimize their HPC applications on AWS. Whether it’s adjusting configurations for better performance or leveraging specific AWS services, the resources available can significantly streamline the HPC setup and execution process.

How KeyCore Can Help

KeyCore can guide businesses in utilizing these best practices and tools for their HPC workloads. Our expertise ensures that clients can effectively leverage AWS services to achieve optimal performance and cost-efficiency.

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AWS Cloud Operations & Migrations Blog

With the increasing complexity of machine learning models, organizations are leveraging GPU-accelerated Kubernetes clusters for efficient model training and online inference. Monitoring GPU utilization is vital for understanding model performance and optimizing infrastructure. Amazon CloudWatch Container Insights provides valuable operational insights, enabling machine learning engineers and cluster administrators to gain visibility into GPU usage, thereby enhancing resource allocation and overall system efficiency.

Monitoring GPU Workloads

Amazon CloudWatch Container Insights helps in tracking the performance of GPU workloads in Kubernetes clusters. It offers detailed metrics and logs, allowing users to pinpoint performance bottlenecks and fine-tune their infrastructure. This real-time visibility is crucial for maintaining optimal model performance and ensuring efficient resource utilization.

Many AWS customers need to review the disk usage across various volumes within their Amazon EC2 instances. AWS Systems Manager Custom Inventory Types provides a scalable solution to monitor disk utilization without needing to directly access the instances. This approach simplifies the process, making it easier to manage large fleets of EC2 instances and optimize storage resources.

Scalable Disk Utilization Monitoring

AWS Systems Manager Custom Inventory Types allows administrators to gather disk usage data across their entire EC2 fleet. This method eliminates the need for individual RDP sessions, streamlining the monitoring process. It enhances operational efficiency by providing a centralized view of disk utilization.

Migrating to the cloud is a significant step for any business, driven by goals such as innovation, cost reduction, or datacenter exit. AWS Resilience Hub and the Migration Acceleration Program (MAP) work together to support this journey. They provide a comprehensive framework for planning, executing, and tracking migrations, ensuring that businesses can navigate their cloud adoption smoothly while maintaining resilience and operational continuity.

Cloud Migration and Resilience

AWS Resilience Hub and MAP offer structured guidance and robust tools for cloud migration. These resources help businesses minimize risks and maximize the benefits of cloud adoption. By leveraging these AWS services, organizations can achieve a resilient and efficient migration process.

The introduction of Migration Hub Journeys in January 2024 aims to streamline VMware migrations to AWS. These journeys provide task-based templates that simplify planning and execution, offering expert guidance and fostering cross-team collaboration. This new approach facilitates seamless migration and modernization of applications, ensuring that businesses can transition to AWS with minimal disruption.

Streamlined VMware Migrations

Migration Hub Journeys optimize the migration process through structured templates and expert insights. This innovation enhances the efficiency of migrating VMware workloads to AWS, enabling businesses to modernize their applications effectively and with greater ease.

Monitoring the health and performance of media services is essential for delivering high-quality viewing experiences. Amazon CloudWatch offers robust monitoring capabilities for AWS Elemental MediaPackage and MediaLive. Automating the creation of CloudWatch dashboards simplifies the monitoring process, especially for organizations with extensive resources across multiple regions, ensuring comprehensive oversight and quicker issue resolution.

Automated CloudWatch Dashboards

The Automatic CloudWatch Dashboard creation feature enables users to set up monitoring for AWS Elemental services effortlessly. This automation saves time and provides a holistic view of media service performance, enhancing operational efficiency and customer satisfaction.

Effective AWS operations involve continuous improvement and proactive management. There are numerous strategies to enhance AWS operations, including automation, cost optimization, security best practices, and performance tuning. Regularly reviewing and updating these practices ensures that AWS environments remain efficient, secure, and aligned with business goals.

Enhancing AWS Operations

Implementing ten key strategies can significantly improve AWS operations. These include leveraging automation tools, optimizing costs, enforcing security protocols, and fine-tuning performance. Staying proactive in AWS operations enables businesses to maintain robust and efficient cloud environments.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, offers expert guidance and support for all aspects of AWS cloud operations and migrations. Whether it’s optimizing GPU workloads, managing EC2 disk utilization, or navigating complex migration journeys, KeyCore’s professional and managed services ensure seamless and efficient AWS experiences. Visit KeyCore to learn more about how we can support your AWS initiatives.

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AWS for Industries

In the rapidly evolving automotive industry, manufacturers and suppliers must proactively address the challenges of managing vast amounts of data and documentation to streamline operations. These challenges include paper documents, disparate document versions and folder structures, collaboration with other plants, and finding important information when needed. By utilizing intelligent document processing on AWS, automotive companies can mitigate the disruptive impact of these challenges.

Benefits of Intelligent Document Processing

Utilizing intelligent document processing on AWS can significantly reduce machine downtime in manufacturing. This technology allows for the digitization and organization of paper documents, ensuring all relevant information is easily accessible. Additionally, it facilitates collaboration across plants and helps maintain consistent document versions. The result is a streamlined workflow that minimizes delays and enhances operational efficiency.

How KeyCore Can Help

KeyCore specializes in implementing intelligent document processing solutions on AWS. By leveraging KeyCore’s expertise, automotive manufacturers can optimize their document management processes, reduce machine downtime, and improve overall productivity. KeyCore’s tailored solutions ensure a smooth transition to a more efficient, digitally-driven operation.

The Children’s Hospital of Philadelphia (CHOP) recently created a proof of concept (POC) to ingest real-time HL7 data from bedside medical devices into AWS for processing and analysis. As the first hospital in the United States dedicated exclusively to the care of children, CHOP’s initiative aims to enhance patient care through advanced data analytics.

Real-time Data Ingestion and Analysis

By ingesting real-time HL7 data from bedside medical devices into AWS, CHOP can process and analyze the data to gain valuable insights. This capability enables healthcare providers to make informed decisions quickly, ultimately improving patient outcomes. The use of AWS services ensures scalability and reliability, necessary for handling large volumes of real-time data.

How KeyCore Can Help

KeyCore offers expertise in setting up real-time data ingestion and analytics pipelines on AWS. With KeyCore’s support, healthcare institutions can leverage AWS services to enhance patient care through timely and accurate data analysis. KeyCore’s solutions are designed to meet the unique needs of the healthcare industry, ensuring compliance and operational efficiency.

The automotive industry possesses one of the most complex value chains, involving tens of thousands of companies in the manufacturing process. Original equipment manufacturers (OEMs) typically lack visibility into their supply chain beyond Tier 2 suppliers, and they are often unaware of the journey of their products after delivery to third parties. By rapidly experimenting with Catena-X data space technology on AWS, automotive companies can gain deeper insights into their supply chains.

Enhanced Supply Chain Visibility

Catena-X data space technology on AWS enables OEMs to track their products throughout the supply chain, providing better visibility and control. This technology allows for seamless data sharing and collaboration among all stakeholders, including downstream partners. The result is an optimized supply chain that enhances efficiency and reduces risks.

How KeyCore Can Help

KeyCore helps automotive companies implement Catena-X data space technology on AWS to achieve comprehensive supply chain visibility. With KeyCore’s expertise, OEMs can enhance their supply chain management, reduce costs, and improve product quality. KeyCore’s solutions are tailored to meet the unique challenges of the automotive industry.

BMW Group’s journey into chaos engineering using AWS FIS has been transformative in ensuring the highest levels of reliability and resilience for their digital services. Dr. Céline Laurent-Winter, BMW Group Vice President of Connected Vehicle Platforms, emphasizes the significance of scaling chaos engineering across the organization.

Implementing Chaos Engineering

Chaos engineering involves intentionally introducing faults into a system to test its resilience and recovery capabilities. By using AWS FIS, BMW Group can simulate various failure scenarios and identify potential weaknesses in their systems. This proactive approach ensures that BMW’s digital services remain reliable and resilient, even in the face of unexpected disruptions.

How KeyCore Can Help

KeyCore offers expertise in implementing chaos engineering practices using AWS FIS. By partnering with KeyCore, organizations can enhance their system resilience and reliability, ensuring uninterrupted digital services. KeyCore’s tailored solutions help identify and address potential weaknesses, providing peace of mind in mission-critical operations.

Today, AWS announces a collaboration with EvolutionaryScale to bring their new frontier language models for biology to scientists and researchers. These models are designed to advance applications from drug discovery to carbon capture, representing a significant leap in the field of generative biology.

Revolutionizing Generative Biology

The collaboration brings EvolutionaryScale’s ESM3, a state-of-the-art language model family, to AWS. This technology enables researchers to explore new frontiers in biology, opening doors to innovative solutions in various fields, including healthcare and environmental science. The availability of these models on AWS ensures scalability and accessibility for scientists worldwide.

How KeyCore Can Help

KeyCore provides expertise in deploying and utilizing advanced language models on AWS. By partnering with KeyCore, researchers and scientists can leverage EvolutionaryScale’s cutting-edge technology to drive innovation in generative biology. KeyCore’s solutions ensure efficient deployment and optimal performance, enabling groundbreaking research and development.

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AWS Messaging & Targeting Blog

In today’s digital landscape, where email communication plays a vital role in business operations, keeping your email archive secure, compliant, and retrievable is crucial for any business. However, managing the large volume of email data can lead to operational difficulties, including regulatory compliance, maintaining an audit trail, and preventing data loss. That’s where Amazon Simple Email Service (SES) comes into play.

Archiving Email with Amazon SES

Amazon SES provides a robust solution for archiving and sending emails to the final SMTP server. It ensures that emails are securely stored, making them easily retrievable and compliant with regulations. By leveraging SES, businesses can automate the archiving process, reducing the risk of data loss and ensuring that an audit trail is maintained.

Using SES Mail Manager for Google Workspace and Microsoft 365

Customers often inquire whether Amazon SES inbound capabilities can be used to handle emails for services like Google Workspace and Microsoft 365. The SES Mail Manager’s SMTP Relay action allows seamless integration with these public services, automating the process of delivering inbound emails to these platforms. This capability provides a streamlined approach to managing corporate emails, ensuring that businesses can maintain productivity while leveraging the benefits of SES.

Advantages of Email Archiving in Transit

When it comes to email archiving, using SES Mail Manager to archive emails in transit rather than at the mailbox offers significant benefits. Customer feedback indicated issues with mailbox-based archiving, such as the fragility and corruption of PST files. Archiving in transit mitigates these problems by ensuring that emails are securely archived before they reach the user’s mailbox. This approach not only enhances the security and reliability of email archives but also simplifies the retrieval process.

How KeyCore Can Help

KeyCore, the leading Danish AWS consultancy, can assist businesses in leveraging Amazon SES for their email archiving and management needs. Our expertise in AWS services ensures that your email infrastructure is secure, compliant, and efficient. Whether you need to integrate SES with Google Workspace and Microsoft 365 or implement a robust email archiving solution, KeyCore’s professional and managed services can provide the support you need.

For more information on how KeyCore can help your business with AWS solutions, visit our website.

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AWS Marketplace

Simplifying Service Mesh Deployment with and Amazon EKS

Managing microservices workloads on AWS can be streamlined significantly by using’s AWS Marketplace add-on for Amazon EKS. This collaborative solution leverages Istio, a powerful service mesh, to handle the complexities of microservices communications. Here’s how it simplifies deployment:

Streamlined Deployment’s add-on is designed to integrate seamlessly with Amazon EKS. It automates many of the tedious configurations associated with setting up a service mesh, minimizing manual intervention. This ease of use is pivotal for organizations looking to scale their microservices infrastructure without the overhead of intricate setups.

Enhanced Microservices Management

By incorporating Istio, the add-on provides robust features like traffic management, security, and observability for microservices. These capabilities help developers and operations teams to gain better control over the interactions between services. This leads to improved reliability and performance of applications.

Cost Efficiency

Using’s solution through AWS Marketplace allows businesses to capitalize on a pay-as-you-go model. This financial flexibility is crucial for companies aiming to optimize their operational expenses while leveraging top-tier technology.

Visualizing CloudWatch Metrics with Coralogix and AWS Resource Tags

Taking AWS CloudWatch metrics to the next level can be achieved by using AWS resource tags in Coralogix, available through AWS Marketplace. This integration enhances monitoring and provides deeper insights into your AWS environment. Here’s how to make the most of it:

Enhanced Monitoring with AWS Resource Tags

Coralogix allows you to use AWS resource tags to filter and categorize your CloudWatch metrics. This tagging system helps to organize and visualize metrics more effectively. By doing so, it becomes easier to pinpoint issues and monitor the performance of specific resources or groups.

Improved Troubleshooting

With the ability to visualize metrics based on tags, troubleshooting becomes more straightforward. Users can quickly identify which resources are underperforming or causing issues. This speeds up the resolution process, minimizing downtime and enhancing the overall reliability of your infrastructure.

Scalable Monitoring Solutions

As your infrastructure grows, the need for scalable monitoring solutions becomes critical. Coralogix’s integration with AWS resource tags ensures that your monitoring setup can scale alongside your AWS environment. This scalability is key to maintaining operational efficiency as your business expands.

KeyCore’s Expertise

KeyCore excels in helping businesses implement and optimize AWS solutions. Whether simplifying service mesh deployment with or enhancing monitoring with Coralogix, KeyCore’s deep AWS knowledge ensures seamless integration and maximum benefit. Contact KeyCore to learn more about leveraging these AWS Marketplace tools for your organization.

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

In the ever-evolving landscape of AWS security, identity, and compliance, there are two notable updates. These updates offer beneficial enhancements to the way AWS clients manage their certificates and access services programmatically. Below is a summary of these updates, crafted for easy comprehension and SEO optimization.

ACM Will No Longer Cross Sign Certificates with Starfield Class 2 Starting August 2024

AWS Certificate Manager (ACM) is crucial for managing and deploying TLS certificates across various AWS services such as Elastic Load Balancing (ELB), Amazon CloudFront, and Amazon API Gateway. Starting August 2024, ACM will cease to cross-sign certificates with Starfield Class 2. This change means public certificates issued from ACM will terminate at the Starfield Services G2 (G2) root.

This update is significant for businesses relying on ACM for their certificate needs. It ensures a streamlined certification process with enhanced security protocols. The termination at the G2 root is expected to improve trustworthiness and simplify certificate validation paths. Organizations using ACM should prepare for this transition by reviewing their current certificates and planning any necessary updates to ensure seamless service continuity.

Access AWS Services Programmatically Using Trusted Identity Propagation

The introduction of trusted identity propagation is a game-changer for accessing AWS services. This feature allows applications to propagate a user’s workforce identity from their identity provider (IdP) to AWS applications and storage services like Amazon Simple Storage Service (Amazon S3) and AWS Glue.

This enhancement means that access to applications and data is now more secure and streamlined. Users can leverage their existing workforce identities to programmatically access AWS services without the need for separate credentials. This integration facilitates smoother operations, reduces administrative overhead, and enhances security by minimizing the number of credentials managed.

Businesses can benefit from increased efficiency and tighter security controls. Trusted identity propagation simplifies identity management and supports a more cohesive security posture across AWS environments.

How KeyCore Can Help

KeyCore, as Denmark’s leading AWS consultancy, can assist organizations in navigating these updates. Our team of experts provides professional services to help you understand the implications of ACM’s certificate changes and integrate trusted identity propagation seamlessly.

Our managed services ensure ongoing support and optimization, allowing your business to stay ahead with the latest AWS security and compliance practices. Contact KeyCore to learn how we can tailor our services to meet your specific needs.

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Innovating in the Public Sector

The Department of the Navy (DoN) modified its blanket purchase agreement (BPA) with Amazon Web Services (AWS) to streamline access to AWS Partner solutions available in AWS Marketplace. This addition provides U.S. Navy and Marine Corps organizations easy access to commercial software and services from over 4,000 trusted providers. The updated BPA will accelerate procurement and modernization, improve control and visibility, and optimize IT expenditure for the DoN.

Transferring Data to the CISA Cloud Log Aggregation Warehouse (CLAW)

Using Amazon Web Services (AWS) Simple Storage Service (Amazon S3) or third-party solutions, organizations can now push or pull their security telemetry data to the National Cybersecurity Protection System (NCPS) Cloud Log Aggregation Warehouse (CLAW). This post provides a step-by-step guide on how to transfer data, ensuring enhanced security and streamlined data handling for effective cybersecurity measures.

AWS Expands Security Services for Federal Political Campaigns and Committees

Amazon Web Services (AWS) extends its support to federal political campaigns and committees by collaborating with Defending Digital Campaigns (DDC). AWS offers over 20 cybersecurity-related services at low-to-no cost, facilitating better security for all active and registered national party committees and federal candidate campaigns.

HALO Trust and AWS: Clearing Mines and Saving Lives

The HALO Trust, in collaboration with Amazon Web Services (AWS), aims to clear mines faster and save lives in conflict zones around the world. AWS is investing $4 million to aid HALO’s efforts, employing artificial intelligence (AI) and drone imagery to locate minefields and explosive remnants of war in Ukraine. This innovative approach allows for wider use of high-resolution drone footage and the testing of machine learning (ML) models for mine identification.

Highlights from the 2024 AWS Summit Washington, DC Keynote

The AWS Summit in Washington, DC, highlighted generative artificial intelligence (AI) innovations and inspirational talks. Dave Levy, vice president of Worldwide Public Sector at AWS, delivered the keynote, accompanied by three guest speakers. The event showcased significant moments and key takeaways, bringing together the public sector cloud community for a two-day event in the nation’s capital.

AWS Announces $50 Million Generative AI Impact Initiative

Amazon Web Services (AWS) announced a $50 million investment in a two-year Generative AI Impact Initiative for public sector organizations. This initiative aims to accelerate innovation in support of critical missions using AWS generative AI services and infrastructure such as Amazon Bedrock, Amazon SageMaker, and AWS HealthScribe. The funding will assist organizations in leveraging AI to address their technological needs.

Meeting OMB AI Governance Requirements with AWS

Amazon Web Services (AWS) is dedicated to safe, transparent, and responsible artificial intelligence (AI). This post discusses how AWS helps agencies meet the governance requirements outlined in the Office of Management and Budget (OMB) memo M-2410. AWS’s commitment to responsible AI is evident through its endorsement of the White House Voluntary AI Commitments and participation in the UK AI Safety Summit, providing customers with features to address specific AI challenges.

Building the WIS 2.0 Global Weather Cache on AWS

The World Meteorological Organization (WMO) is working to build and modernize a global weather framework with the WMO Information Systems (WIS) 2.0. This new system will democratize access to critical, up-to-date weather data globally. The WIS 2.0 global cache, built on AWS, provides a single point of access to enhance forecast accuracy and reduce time and capital requirements.

10 Ways Governments Incentivize Cloud Use

Governments are encouraging public sector organizations, businesses, and citizens to embrace digital technologies through various incentives. These incentives aim to standardize processes and motivate behaviors that support sustainable digital transformation. This post outlines 10 methods used by governments to drive successful digital transformation, as highlighted by an AWS government transformation advisor.

At KeyCore, we specialize in harnessing the power of AWS to drive innovation in the public sector. Our team of experts can help implement these technologies, ensuring your organization achieves its digital transformation goals efficiently and effectively. Visit our website to learn more about how we can assist with your AWS projects.

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