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Academy Articles

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What Are Worker Agents in DevOps?

A worker agent is an AI agent that executes a delegated software delivery task as a step inside a delivery pipeline, rather than answering questions in a chat window. Worker agents operate in a loop: they receive a goal, plan an approach, call tools against real systems, verify their own output, and hand off a reviewable result such as a commit or a pull request. Because a worker agent runs inside existing pipeline infrastructure, it inherits that pipeline's access controls, policy enforcement, and audit trail instead of requiring a separate governance model.

10 minutes to read

How to Reduce Mean Time to Detect (MTTD) in Complex Software Environments

One of the quickest ways to protect SLOs, stop Sev-1 incidents, and cut down on developer work without hiring more people is to lower the Mean Time to Detect (MTTD). You can lower MTTD by making alerts with a lot of signals, moving detection left into CI/CD and feature flags, and using AI to make every change "change-aware." Using templates, Policy as Code and scorecards to manage things makes sure that detection quality stays the same as you grow across teams, services, and clouds.

8 minutes to read

What is Static Application Security Testing (SAST)?

Learn what Static Application Security Testing (SAST) is, how it works, and why it’s essential for secure software development.

10 minutes to read

How to Integrate OpenTofu with Your CI/CD Pipeline for Scalable Deployments

Standardizing OpenTofu CI/CD integration with reusable templates and GitOps workflows eliminates deployment bottlenecks and accelerates infrastructure automation at scale. Centralized governance, policy-as-code, and AI-powered verification are essential for maintaining security, compliance, and operational efficiency across hundreds of services. Harness Continuous Delivery & GitOps provides an enterprise control plane that unifies visibility, governance, and automated rollbacks, enabling teams to scale OpenTofu deployments safely and efficiently.

5 minutes to read

Artifact Registry Developer Experience: The Complete Guide

This guide explores how modern Artifact Registries like Harness AR enhance developer productivity by streamlining artifact management, accelerating CI/CD pipelines, and strengthening software supply chain security. Learn practical strategies to optimize your development workflow with efficient binary repository management.

9 minutes to read

What Is DevOps? Definition, Principles, Lifecycle & Benefits

The simple definition of DevOps is that it’s a cultural and professional movement, supported by practices and tools, that breaks down the traditional silos between software development and IT operations teams. The goal is to build, test, and release software faster and more reliably.

9 minutes to read

What is a Blue Green Deployment?

Run two production-capable environments (blue live, green standby) so you can deploy and validate the new version without disrupting users. Treat release exposure as a controlled traffic-routing change (load balancer/ingress/service switch or DNS), which minimizes downtime and makes cutover predictable. Get a fast rollback path by switching traffic back to the previous environment—especially effective when paired with strong verification and data-safe migration practices.

14 minutes to read

What is Continuous Integration? A Comprehensive Overview

CI is frequent integration + automated verification, so teams merge small changes into a shared repository and validate every change automatically to catch issues early. Fast, trustworthy feedback is the goal, which means optimizing pipelines for speed and signal quality with small PRs, reliable tests, safe caching, and clear failure reports. CI is the foundation for modern delivery, because consistent builds, tests, artifacts, and traceability make it easier to scale governance, strengthen security, and move toward continuous delivery.

9 minutes to read

Integrating Smoke Testing into Your CI/CD Pipeline: What DevOps Needs to Know

Smoke tests are quick, automated checks that find release-breaking problems immediately after deployment and prevent unstable builds from progressing. Strong smoke testing stays small and dependable: a few important checks, clear assertions, and a predictable runtime so that teams can trust the gate. Automation and smoke tests go well together because they make sure that the pipeline is always gated, create rich failure artifacts, and (when needed) verify the deployment using real health signals (metrics/logs) to help make safe rollout decisions.

10 minutes to read

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