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Academy Articles

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CI vs. CD vs. Continuous Deployment: Demystifying the Delivery Pipeline

CI automates code integration, builds, testing, and security checks to catch issues early. Continuous Delivery keeps software production-ready while requiring a manual approval before release. Continuous Deployment removes the manual gate and automatically deploys successful changes to production. Continuous Deployment requires mature testing, observability, progressive delivery, feature flags, and automated rollbacks. For most teams, Continuous Delivery is the pragmatic target, balancing release automation with business and compliance requirements. Teams should move toward Continuous Deployment only when their automated guardrails are trusted and reliable.

5 minutes to read

Container Registry vs. Artifact Registry: What's the Difference?

A container registry is built to store and distribute container images and speaks the Docker registry protocol, the same one Docker Hub and most cloud-native registries use. An artifact registry does that too, but it also manages the other outputs your build produces: Maven and npm packages, Helm charts, Python wheels, generic files, and more, all under one set of security and governance controls.

4 minutes to read

Terragrunt at Scale: Multi-Environment Control

This guide reveals how to structure Terragrunt for multi-environment infrastructure at scale without sacrificing control. Learn proven patterns for DRY configuration, environment separation, and module management that keep your IaC maintainable as teams and deployments grow.

9 minutes to read

What is CI/CD?

Continuous integration/continuous delivery (CI/CD) is a software development practice that focuses on automating the process of integrating code changes, testing them, and delivering them to production environments in a rapid and reliable manner. The article explores how CI/CD pipelines automate key stages of the software development lifecycle.

9 minutes to read

What Is Mock Testing? Definition, Types & Examples | Harness

Mock testing is created to replicate the behavior of real components, enabling controlled testing of individual units and their interactions.

1 minute to read

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

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