GitOps

Discover how Red Hat OpenShift features support cloud-based applications using GitOps processes. This article includes a video on cluster configuration management.

Learn to use Git's clean/smudge filter to secure secret data like tokens, private server addresses, and PII when working on public Git repositories.

This guide explains how automated scripts in Jenskinsfiles merge CI/CD and GitOps into one process. Learn how Jenkins helps developers quickly launch software.

Learn how to make OpenShift's Machine Config Operator and Argo CD GitOps orchestration tool work well together to prevent node auto-reboot during Argo CD sync.

GitHub Actions and OpenShift: ​​Supercharging your software development loops | DevNation Tech Talk

Find out which articles about Ansible, automation, CI/CD, GitOps, and API management most piqued developers' interest in 2021.

Modernize monolithic apps into containerized services on Kubernetes. This case study shows you how to migrate an n-tier app using Konveyor open source tools.

Learn to automate dependency analytics by integrating code scanning into your CI pipeline. Use the CodeReady Dependency Analytics GitHub Action to spot flaws.

Discover new features improving general usability and the developer console experience for Knative, Tekton, and GitOps development on OpenShift.

Don't miss a thing! Here's a roundup of new articles, tutorials, cheat sheets, and more published last month on Red Hat Developer.

Learn about the tools Red Hat has available to implement GitOps workflows. Use the examples to set up control planes to gain full control of your project.

Learn how to use the GitOps app manager's kam command-line interface to bootstrap repositories. This generation process helps streamline application delivery.

Read more about the 2021 Red Hat Summit breakout session talk Modern Fortune Teller highlighting using GitOps on RedHat OpenShift applications.

No matter where you are in your software development career, from just starting, to re-training, to expert-level but needing a brush-up, the Red Hat Developer program can help with tutorials and learning.

Learn the basics of Argo CD, the continuous delivery tool for Kubernetes, and explore GitOps in this DevNation Deep Dive session.

This scenario will get you get familiar with syncwaves and hook phases.

This guide helps you get started with ArgoCD and GitOps with OpenShift.

The goal of this track is to learn how to use Red Hat OpenShift Pipelines to...

GitOps uses Git repositories as a single source of truth to deliver

GitOps: Stop, collaborate and deploy | DevNation Tech Talk

Kogito tooling for BPMN and DMN Chrome Extension allows you to see business processes and rules directly on the GitHub webpage.

This article explores the service model of Red Hat AMQ Online 1.1 and how it maps to a GitOps workflow for different teams in your organization.

Developers love Git for its raw speed, powerful history traversal, distributed nature, and the fact that it was built by uber developer Linus Torvalds. What we don't love is the fact that, out of the box, Git has terrible support for tracking large binary files. Fortunately, developers from Atlassian, GitHub, and Visual Studio Online have teamed up to work on an open source project to solve this problem: Git LFS (Large File Support). This means researchers, web designers, game developers, multimedia producers, and all other developers who need to work with large data and rich media can move off legacy-centralized systems and start using modern version control. In this session, we'll cover the computer science behind Git LFS' internals and architecture, CLI usage, and how to build an effective Git LFS workflow for a development team. You'll leave with an understanding of how Git LFS works under the hood and some practical advice on using Git LFS with your software projects and teams.

Ranking queries are one of the central topics in the field of Information Retrieval with considerable applications in fields such as analytics. One of the challenges is to provide solutions which can be adapted to distributed data sources, specifically NoSQL distributed column-oriented databases, and comply to "user" real-time constraints, especially when dealing with massive amounts of data. In this talk, we discuss the implementation and challenges for some of the most promising algorithms to address these challenges. We also analyse their scalability and substantial gains in terms of bandwidth and execution time, as indicated by the experimental results."