AWS DevOps Blog

Category: Developer Tools

CDK Corner – January 2021

December was an exciting month for CDK! Jason Fulghum delivered an AWS re:Invent presentation on how CDK has changed over the past year and what customers can expect in the next year. The highlight of this talk was the alpha release of CDK v2. This is the first major version bump since the AWS CDK […]

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Resource leak detection in Amazon CodeGuru Reviewer

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.

self service catalog portal

How FactSet automates thousands of AWS accounts at scale

This post is by FactSet’s Cloud Infrastructure team, Gaurav Jain, Nathan Goodman, Geoff Wang, Daniel Cordes, Sunu Joseph, and AWS Solution Architects Amit Borulkar and Tarik Makota. In their own words, “FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, which provides instant access to financial […]

Continuously building and delivering Maven artifacts to AWS CodeArtifact

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 […]

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Raising code quality for Python applications using Amazon CodeGuru

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 […]

Tightening application security with Amazon CodeGuru

Amazon CodeGuru is a developer tool that provides intelligent recommendations for improving code quality and identifies an application’s most expensive lines of code. To help you find and remediate potential security issues in your code, Amazon CodeGuru Reviewer now includes an expanded set of security detectors.  In this post, we discuss the new types of […]

Using NuGet with AWS CodeArtifact

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 […]

Mainfrme DevOps On AWS Architecture Overview, Two types of pipelines, Project Pipeline and Regression Pipeline

Automate thousands of mainframe tests on AWS with the Micro Focus Enterprise Suite

We have seen mainframe customers often encounter scalability constraints, and they can’t support their development and test workforce to the scale required to support business requirements. These constraints can lead to delays, reduce product or feature releases, and make them unable to respond to market requirements. Furthermore, limits in capacity and scale often affect the quality of changes deployed, and are linked to unplanned or unexpected downtime in products or services.
The conventional approach to address these constraints is to scale up, meaning to increase MIPS/MSU capacity of the mainframe hardware available for development and testing. The cost of this approach, however, is excessively high, and to ensure time to market, you may reject this approach at the expense of quality and functionality. If you’re wrestling with these challenges, this post is written specifically for you.