Git and GitHub are no longer just for software developers. Learn the core GitHub workflows every data scientist needs — repositories, branches, and pull requests — to collaborate effectively and move models into production.
YOUR COSMETIC CARE STARTS HERE Find the Best Cosmetic Hospitals Trusted • Curated • Easy Looking for the right place […]
Git 2.25, released January 2020, introduced mature partial clone support and the new sparse-checkout command, offering meaningful performance gains for teams working with large repositories.
Struggling to keep up with growing IT operations? These four open source automation tools—Jenkins, Cockpit, Kubernetes, and Ansible—can help admins build reliable, scalable automation pipelines.
Cloud-native computing is reshaping how enterprises build and deliver software. Learn how Kubernetes-based infrastructure, automated continuous delivery, and value-stream metrics come together to make cloud-native DevOps a practical reality.
GitOps brings software development best practices—version control, code review, and CI/CD—to infrastructure and operations management. Here is a practical breakdown of what GitOps is, what technology it requires, its key benefits, and the real challenges teams face when adopting it.
A curated list of ten free tutorials, courses, books, and video series to help DevOps engineers and developers master Jenkins CI/CD from beginner to intermediate level.
A practical rundown of 12 widely used DevOps tools covering continuous integration, continuous delivery, source code management, and infrastructure as code — from Jenkins and GitLab to AWS CloudFormation and Apache Maven.
YOUR COSMETIC CARE STARTS HERE Find the Best Cosmetic Hospitals Trusted • Curated • Easy Looking for the right place […]
YOUR COSMETIC CARE STARTS HERE Find the Best Cosmetic Hospitals Trusted • Curated • Easy Looking for the right place […]
GitLab’s 11.0 release brought Kubernetes-native Auto DevOps to the platform, automating the full pipeline from code push to production monitoring — and arrived just as the Microsoft–GitHub acquisition rattled the developer community.
GitLab 11.0 introduced Auto DevOps as a generally available feature, aiming to automate the full software delivery pipeline—from build and test to security scanning, deployment, and monitoring—using Kubernetes under the hood.
In 2017, GitLab outlined its Complete DevOps vision — uniting development and operations into a single platform covering every stage of the software lifecycle, from code commit to production monitoring.
GitLab introduced Auto DevOps to eliminate manual pipeline configuration, automatically detecting languages, running tests, and deploying applications so developers can ship faster without DevOps expertise.
GitHub’s GraphQL API (v4) has graduated from early access to general availability. Learn what changed, how it compares to the REST API v3, and what it means for developers building GitHub integrations.
Git hooks are Git’s built-in plugin system for triggering custom scripts around repository operations. Here are three practical hooks that strengthen your CI workflow: enforcing clean branch builds, protecting code coverage, and surfacing branch build status at checkout.
Learn how GitHub can become your team’s central hub for DevOps workflows, compliance tracking, and living documentation—reducing escalations, capturing tribal knowledge, and keeping distributed teams aligned.
Learn how to configure a full CI/CD pipeline using Visual Studio Team Services (VSTS): create a Git repository, push an ASP.NET Web API project, set up automated builds, and release automatically to Azure App Service.
Learn how to apply continuous deployment principles to your automated test assets. This guide walks through structuring keyword-driven tests, building a Jenkins pipeline, and safely deploying keyword libraries to Silk Central on every commit.
Learn how to implement continuous integration for Pentaho Data Integration (PDI) pipelines using Jenkins — from installation and scheduled jobs to git-hook-triggered builds.
