21 posts tagged with "github-actions"

We'll explore how CubeScore™️'s North Star Metrics for CI compare to traditional DORA Metrics, and why CI needs its own set of metrics to optimize pipelines.

In this blog post, we’ll explore how to effectively use conditions to control job execution, along with examples that demonstrate common scenarios.

This post will walk you through how you can leverage GitHub Actions Importer to audit, forecast, dry-run, and then migrate pipelines originating from Jenkins, GitLab, CircleCI, among others.

In this post, we are going to explore how to share data across different workflow stages using job outputs-with examples and best practices to help you make your pipelines even more dynamic and efficient using GitHub Actions.

In this post, we are going to explore how to share data across different workflow stages using job outputs-with examples and best practices to help you make your pipelines even more dynamic and efficient using GitHub Actions.

In this post, we are going to dive into details on how to define and customize matrix strategies for your workflows, with some practical examples, so that your continuous integration/continuous deployment pipelines are tuned.

In this article, we'll look at how to leverage and manage the use of secrets within GitHub Actions and how one can securely store and use sensitive data to keep the workflows safe and efficient.

We explore the key metrics that define elite software delivery teams and how to track and improve them.

Learn wanted to share a quick overview of how we can efficiently store and utilize variables in our GitHub Actions workflows

Major differences between GitHub Actions and Jenkins on the CI pipeline will be given. This paper will compare a general view against set-up, performance, scaling, and maintenance to let one decide which tool can best suit your development workflow.

Learn how to configure workflows that are more flexible and suited to manual intervention for critical tasks like production deployments and database migrations.

Learn how to effectively access and use contextual information in GitHub Actions workflows, with practical examples for managing workflow runs, jobs, and steps using contexts like github, env, and matrix.

This guide explains how to set up scheduled workflows, avoid delays during peak hours, and ensure that your workflows remain active and efficient.

This guide explains how to avoid duplication in GitHub Actions workflows by reusing existing workflows. Reusable workflows allow for simplified maintenance and faster creation of new workflows by building on previous work.

Explore how caching in GitHub Actions can dramatically speed up your CI/CD workflows.

Learn how to optimize your CI/CD pipelines by running jobs in parallel using GitHub Actions. This guide covers running independent jobs, managing dependent workflows, and executing a single workflow across multiple environments and operating systems.

Learn how to optimize Docker builds with GitHub Actions by using various caching strategies like inline, registry, and GitHub Cache API. Speed up your CI/CD pipelines with practical examples and tips.

We'll introduce you to CICube for your default GitHub Actions dashboard for monitoring and improving CI pipeline performance.

Learn how elite software teams improve their GitHub Actions workflows, and explore how CICube helps monitor and enhance performance with real-time metrics and insights.

Explore the GitHub Actions that should be in every project. This guide covers workflows that enhance automation, CI/CD, and team collaboration.

Explore the GitHub Actions that should be in every project. This guide covers workflows that enhance automation, CI/CD, and team collaboration.