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OpenShift support for GitOps processes

Regina Scott

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

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Ansible and automation: The best of 2021

Red Hat Developer Editorial Team

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

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Automate dependency analytics with GitHub Actions

Divyanshu Agrawal

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

Build here, go anywhere.

What's new in the Red Hat OpenShift 4.9 console

Serena Chechile Nichols

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

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Monthly roundup: Best of August 2021

Red Hat Developer Editorial Team

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


DevNation Deep Dive: Argo CD

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

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Getting Started with OpenShift Pipelines

Christian Hernandez

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

30 minutes | Beginner
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Operations by pull request: An Ansible GitOps story

GitOps is a means of accelerating and simplifying application deployments and operations tasks using Git version control as your system’s "source of truth" and pull requests to manage, automate, and track changes.

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Tracking Huge Files With Git LFS (Tim Pettersen)

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.

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Efficient top-k query processing on distributed column family databases: by Rui Vieira

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."