Summary of AWS blogs for the week of Mon Jul 29
In the week of Mon Jul 29 2024, AWS published 102 blog posts – here is an overview of what happened.
Topics Covered
- Desktop and Application Streaming
- AWS DevOps Blog
- AWS for SAP
- Official Machine Learning Blog of AWS
- Announcements, Updates, and Launches
- Official Database Blog of AWS
- AWS for Games Blog
- AWS Training and Certification Blog
- Microsoft Workloads on AWS
- Official Big Data Blog of AWS
- Networking & Content Delivery
- AWS Compute Blog
- AWS for M&E Blog
- Integration & Automation
- AWS Developer Tools Blog
- AWS Architecture Blog
- AWS Partner Network (APN) Blog
- AWS Cloud Enterprise Strategy Blog
- AWS HPC Blog
- AWS Cloud Operations & Migrations Blog
- AWS for Industries
- AWS Messaging & Targeting Blog
- AWS Marketplace
- The latest AWS security, identity, and compliance launches, announcements, and how-to posts.
- AWS Contact Center
- Innovating in the Public Sector
- AWS Open Source Blog
Desktop and Application Streaming
The latest release of the Cost Optimizer for Amazon WorkSpaces, version 2.7, brings significant improvements for managing costs effectively. This tool analyzes usage data and can automatically switch the WorkSpace instance to the most cost-effective billing option based on individual usage patterns. The Cost Optimizer supports both single accounts and multiple accounts through AWS Organizations. With this tool, organizations can ensure they are not overpaying for underused resources, enabling better cost management and allocation of IT budgets.
Red Hat Enterprise Linux (RHEL) 8 has been announced for Amazon WorkSpaces and Amazon AppStream 2.0, expanding the choices available to users. AWS customers now have the option to use RHEL 8 for their virtual desktops, ensuring they can leverage a familiar and robust operating system. This announcement highlights AWS’s commitment to offering flexible infrastructure, allowing users to deploy workloads and store critical data using their preferred solutions. By integrating RHEL 8, AWS enhances its support for enterprise customers who rely on Red Hat for their IT operations, providing them with a secure and scalable virtual desktop environment.
Read the full blog posts from AWS
- Cost Optimizer for Amazon WorkSpaces 2.7 released
- Announcing Red Hat Enterprise Linux 8 on Amazon WorkSpaces and Amazon AppStream 2.0
AWS DevOps Blog
Amazon Q Developer just reached a $260 million dollar milestone. Developers worldwide are turning to generative AI-powered assistants like Amazon Q Developer to enhance productivity. Although Amazon Q Developer excels in providing code suggestions, writing new code is just one aspect of a developer’s daily tasks. The assistant streamlines various development activities, making it an invaluable tool for modern software development.
Accelerate Your Terraform Development with Amazon Q Developer
This post demonstrates how Amazon Q Developer, a generative AI-powered assistant for software development, aids in creating Terraform templates. Terraform is an infrastructure as code (IaC) tool that provisions and manages AWS infrastructure safely and predictively. When used within an integrated development environment (IDE), Amazon Q Developer assists in generating code, providing explanations, and more. This integration enhances the development process by reducing manual coding effort and increasing accuracy.
Balance Deployment Speed and Stability with DORA Metrics
Development teams embracing DevOps practices aim to boost the speed and quality of their software delivery. The DevOps Research and Assessment (DORA) metrics provide a widely recognized method to measure progress towards these goals. Consisting of four key metrics, DORA metrics allow senior leaders to evaluate the current state of team maturity and identify areas for optimization. This blog post outlines how to leverage these metrics to achieve a balanced approach to deployment speed and stability.
Testing Your Applications with Amazon Q Developer
Testing code is crucial in software development, ensuring applications are reliable, meet quality standards, and function as intended. Automated software tests detect issues early, reducing the impact on end-user experience and business. In addition to identifying defects, tests serve as documentation and help prevent regression as code evolves. Amazon Q Developer supports developers in writing and maintaining tests, making the testing process more efficient and effective.
Use OpenID Connect with AWS Toolkit for Azure DevOps to Perform AWS CodeDeploy Deployments
Many organizations leverage AWS services like AWS CloudFormation and AWS CodeDeploy while integrating with existing workflows. These customers prefer maintaining their version control systems, such as GitHub, and continue using their established continuous integration and continuous deployment (CI/CD) pipelines. This blog post introduces how to use OpenID Connect with the AWS Toolkit for Azure DevOps to seamlessly perform AWS CodeDeploy deployments, ensuring a smooth integration between AWS and Azure DevOps environments.
Read the full blog posts from AWS
- Amazon Q Developer just reached a $260 million dollar milestone
- Accelerate your Terraform development with Amazon Q Developer
- Balance deployment speed and stability with DORA metrics
- Testing your applications with Amazon Q Developer
- Use OpenID Connect with AWS Toolkit for Azure DevOps to perform AWS CodeDeploy deployments
AWS for SAP
One reason thousands of customers choose AWS to run their mission-critical SAP workloads is to improve reliability and business resilience. In fact, a 2023 IDC report found that customers who run S/4HANA on AWS experience 58% less unplanned downtime compared to on-premises environments. Increasingly, SAP customers are choosing RISE with SAP on AWS to support their digital transformation journeys. In this article, we’ll introduce how Amazon CloudWatch Application Insights can help improve SAP business process resilience on AWS.
Understanding Amazon CloudWatch Application Insights
Amazon CloudWatch Application Insights is a cloud-native service designed to improve application monitoring. It helps identify common problems with enterprise applications, including SAP workloads, by automatically setting up monitoring and providing recommendations to optimize performance and reliability.
Enhanced Monitoring for SAP Workloads
For SAP customers, this means that they can leverage Amazon CloudWatch Application Insights to gain deep visibility into their SAP systems running on AWS. The service provides automated dashboards and alerts