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Introduction In the previous article, we learned about AWS CodeCommit, AWS's managed Git repository service. Although CodeCommit can store source code, simply storing code is no...
Introduction Over the past few articles, we have learned how to create AWS infrastructure manually using services like: Amazon EC2 Amazon S3 VPC Route 53 CloudFormation But o...
CI/CD testing explained: what it is, how the CI/CD pipeline works, where automation tests fit at each stage, and the best practices teams use to ship faster.
Continuous software delivery in the digital age has come to depend on CI/CD pipelines. They enable engineering teams to rapidly develop, test, and deploy code while keeping it high...
How AI actually helps in CI/CD: failure triage, flaky-test detection, and PR review, plus a real pipeline step you can copy, and the limits.
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Compare CI/CD tools and learn how to choose one. Covers CI vs CD vs Continuous Deployment, GitHub Actions, Azure DevOps, GitOps, and evaluation criteria.
Traditional CI/CD pipelines are optimized around a familiar assumption: source code changes, automated tests validate the change, a build artifact is produced, and the application...
A CI/CD pipeline that runs without errors creates a sense of correctness. The job is green. The deployment happened. The infrastructure must reflect what it should. This logic feel...
Build an AI-powered DevOps pipeline: lint, test, and an AI review stage that blocks a real bug in CI. Hands-on tutorial with real output.
Agent-native CI explained: the diagnosis loop, the workflow_run architecture, guardrails against a hidden regression, and what still needs a human to decide.
Both strategies buy you the same thing, which is a cheap way to be wrong. The mechanism is the easy part, and the two hard parts are noticing you are wrong and dealing with the dat...
Learn how to optimize your CI/CD pipeline for coding agents The post How to Effectively Deploy Code With Claude Code appeared first on Towards Data Science.
Introduction In the previous article, we learned how AWS CodePipeline automates the software delivery process. Before we start building our AWS CI/CD pipeline, we need one more...
In today’s enterprise software delivery environment, AI has moved from a distant possibility to an active area of experimentation across the CI/CD pipeline. The conversation around...
How to design a secure, traceable AWS CI/CD pipeline using separate accounts, centralized ECR, OIDC and immutable image promotion for SOC 2.
In this guide, explore DevOps testing to boost software quality. Learn how automation, CI/CD, and validation speed up secure, reliable releases.
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The problem we couldn't ignoreGlaspoort builds and operates fiber infrastructure in the Netherlands...
AI agents!! AI agents!! AI agents is the new buzzword.. they can generate code far faster than any human can review it. Because of this shift in software development, engineering...
During my doctoral research on modern engineering practices and operational efficiency, one pattern kept surfacing that I did not expect to find. The engineering teams making the m...
Modern CI/CD pipelines often execute complete regression suites for every code change, regardless of the actual impact of the modification. While this approach guarantees broad val...
Evaluate the collaboration between development and operations teams. Explore the DevOps lifecycle, its phases, components, and best practices.
A centralized Jenkins control plane can reduce fleet sprawl, automate upgrades and backups, improve observability, and give application teams safe self-service across large multi-c...
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