Platform engineering is an emerging discipline focused on enhancing developer productivity by reducing the complexity and uncertainty of modern software delivery. It addresses some of the biggest challenges of doing DevOps at scale, including aligning development practices with business priorities and reducing the burden of managing a complicated web of tools and infrastructure across the application lifecycle.

Organizing a software release is a cross-team effort and a large undertaking. Leveraging the power of Mattermost Playbooks can help your team stay on deadline and keep confusion at bay. In this post, we’ll learn how to quickly integrate Mattermost into your GitLab release pipeline to help streamline your release processes. At the end of the blog post, there’s a link to a release management demo that you can try out in the browser to see these ideas in action.

CI pipelines have become an integral part of the development workflow, helping teams automate the continuous building and testing of new updates to application code. The growing importance of CI pipelines has naturally led to a need for increased visibility into their performance. In 2021, Datadog introduced CI Visibility to deliver granular performance metrics for each individual pipeline, allowing you to monitor build duration and related telemetry across all recent commits.

After 33k commits, nearly 200k contributions, 9.6k contributors, and almost 15k pull requests, the Argo Project has officially graduated within the Cloud Native Computing Foundation (CNCF). The Argo Project was first created and open-sourced in 2017 by Applatix who was later acquired by Intuit. Shortly thereafter, BlackRock, Codefresh, and RedHat joined the project as it moved into the CNCF.

There are hundreds of capabilities on CircleCI that were designed to create the best possible CI/CD experience for our users. But one feature that users often point to as the most valuable on the platform is the CircleCI Insights dashboard. The Insights dashboard provides full visibility into metrics like job status, duration monitoring, and solutions for pipeline optimization.