GitOps is an operational model that uses Git as the single source of truth for declarative infrastructure and application deployment, with automated reconciliation.
In a GitOps workflow, the desired state of infrastructure and applications is stored in a Git repository. An automated agent continuously compares the actual state of the system with the desired state in Git, and reconciles any differences.
This creates a pull-request-driven workflow where all changes are reviewed, approved, and audited through Git.
Traditional CI/CD pipelines push changes from a build system to production. GitOps inverts this model—a controller running in the target environment pulls the desired state and applies it. This "pull" model is more secure because the target environment doesn't need to expose credentials to the CI system.
Popular GitOps tools include Flux and ArgoCD for Kubernetes workloads, and Atlantis for Terraform workflows. When combined with infrastructure as code, GitOps provides a complete audit trail and rollback capability for infrastructure changes.
Open source Terraform module libraries are infrastructure's equivalent of npm and PyPI—battle-tested foundations that become even more critical when AI enters the picture.
AI leveled the playing field. You don't need vendor platforms anymore. Here's what real infrastructure ownership looks like and why it's your strategic advantage.
Generative AI doesn't replace infrastructure as code—it supercharges it. Here's why IaC is the perfect foundation for agentic development.
Let's be honest — nobody runs native Terraform. We all use wrappers, orchestrators, and frameworks. Here's why that's not just okay, it's necessary.
If you're using GitHub to ship production software and working with multiple teams or contractors, GitHub Enterprise isn't optional—it's the only way to govern your software supply chain safely.