Continuous Integration
A mature Continuous Delivery pipeline automates builds, tests, deployments, and feedback loops to produce reliable, rapid software releases. This guide covers the core practices every DevOps team should implement.
Choosing the wrong tools will undermine even the best CI/CD pipeline design. Follow these practical rules to evaluate and select tools that genuinely support continuous delivery values.
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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 one team migrated from Jenkins to GitLab CI, covering .gitlab-ci.yml pipeline configuration, docker-in-docker challenges, Unix socket workarounds, and the GitLab Container Registry.
Learn how to implement continuous integration for Pentaho Data Integration (PDI) pipelines using Jenkins — from installation and scheduled jobs to git-hook-triggered builds.
Continuous integration and continuous deployment are not all-or-nothing mandates. Learn how to calibrate your CI/CD cadence to match your organisation’s risk tolerance, team maturity, and business requirements.
A practical guide to implementing SQL Server database CI pipelines — covering unit testing strategies, synthetic test data, pipeline failure handling, build frequency governance, and secure automation scripting.
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Jenkins 2016 Community Survey results show rapid adoption growth, while the project ships a major Pipeline update featuring declarative syntax, a graphical editor, and shared libraries.
A 2017 survey of 732 software professionals found that while agile adoption is nearly universal, true continuous integration and full DevOps implementation remain aspirational for most organizations.
LinkedIn’s 3×3 mobile release schedule demanded faster iOS testing than any off-the-shelf tool could deliver. Here’s how their engineers built Bluepill, an open-source parallel iOS test runner, and what it means for teams facing the same bottleneck.
Security too often enters the development lifecycle only at the end, when fixing vulnerabilities is costly and disruptive. Here is why shifting security left matters and what practices actually help.
Understand the foundational principles behind DevOps—including the Three Ways—and discover five battle-tested tools that quietly power reliable infrastructure every day.
Moving a machine learning model from a notebook to a production system is harder than building the model itself. Here are four critical considerations—plus how DevOps practices can close the gap.
Learn how Chef Habitat uses dynamic linking and ELF binary metadata to guarantee that the exact dependencies linked at build time are loaded at runtime, enabling true application portability across Linux environments.
Learn how the New York Times engineering team built open-source Drone CI plugins—drone-gke and drone-gae—to automate continuous deployment to Google Container Engine and Google App Engine.
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