Category: Technical How-to

Since the post Using AWS CodePipeline, AWS CodeBuild, and AWS Lambda for Serverless Automated UI Testing was published, things have evolved with Chrome headless and Firefox headless being supported natively. AWS Lambda now supports container images, AWS Step Functions has added support for Map state and its integration with Lambda, and AWS Fargate has enabled […]

Amazon DevOps Guru offers a fully managed AIOps platform service that enables developers and operators to improve application availability and resolve operational issues faster. It minimizes manual effort by leveraging machine learning (ML) powered recommendations. Its ML models take advantage of AWS’s expertise in operating highly available applications for the world’s largest e-commerce business for […]

This post provides a step-by-step guide on how to model and provision AWS Glue workflows utilizing a DevOps principle known as infrastructure as code (IaC) that emphasizes the use of templates, source control, and automation. The cloud resources in this solution are defined within AWS CloudFormation templates and provisioned with automation features provided by AWS […]

The resource leak detector in CodeGuru Reviewer combines static code analysis algorithms with machine learning to surface only the high confidence leaks. It has a high developer acceptance rate and has alerted developers within Amazon to thousands of leaks before those leaks hit production.

The NFL, an AWS Professional Services partner, is collaborating with NFL’s Player Health and Safety team to build the Digital Athlete Program. The Digital Athlete Program is working to drive progress in the prevention, diagnosis, and treatment of injuries; enhance medical protocols; and further improve the way football is taught and played. The NFL, in […]

Artifact repositories are often used to share software packages for use in builds and deployments. Java developers using Apache Maven use artifact repositories to share and reuse Maven packages. For example, one team might own a web service framework that is used by multiple other teams to build their own services. The framework team can […]

As applications become increasingly distributed and complex, operators need more automated practices to maintain application availability and reduce the time and effort spent on detecting, debugging, and resolving operational issues. Enter Amazon DevOps Guru (preview). Amazon DevOps Guru is a machine learning (ML) powered service that gives you a simpler way to improve an application’s […]

We are pleased to announce the launch of Python support for Amazon CodeGuru, a service for automated code reviews and application performance recommendations. CodeGuru is powered by program analysis and machine learning, and trained on best practices and hard-learned lessons across millions of code reviews and thousands of applications profiled on open-source projects and internally […]

Today, software development practices are constantly evolving to empower developers with tools to maintain a high bar of code quality. Amazon CodeGuru Reviewer offers this capability by carrying out automated code-reviews for developers, based on the trained machine learning models that can detect complex defects and providing intelligent actionable recommendations to mitigate those defects. A […]

Managing NuGet packages for .NET development can be a challenge. Tasks such as initial configuration, ongoing maintenance, and scaling inefficiencies are the biggest pain points for developers and organizations. With its addition of NuGet package support, AWS CodeArtifact now provides easy-to-configure and scalable package management for .NET developers. You can use NuGet packages stored in […]