Software Delivery Agent
Database Change Management: From Ticket Queues to Pipelines
The takeaway here is that teams get into trouble when they automate a risky process just to run it faster. Teams that pair schema as code, backward-compatible application changes, visibility into what is deployed where, and policy-governed pipelines tend to ship faster and break less.
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.
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.
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.
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.
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.
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.
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.
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.
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