Infrastructure as Code (IaC) has fundamentally changed how organisations provision and manage cloud resources. But writing infrastructure code is only half the equation. The other half -- how that code moves from a developer's workstation to production -- is where most organisations still rely on manual processes, ad-hoc scripts, or poorly governed CI/CD pipelines. GitOps addresses this gap by applying the same rigorous version control, review, and automation practices used in application development to infrastructure deployments.
According to the 2024 State of DevOps Report by DORA (Google Cloud), organisations that implement GitOps practices achieve 4x faster deployment frequency and 3x faster mean time to recovery compared to those using traditional deployment methods. For Australian businesses navigating multi-cloud environments, regulatory compliance, and growing infrastructure complexity, GitOps is not a luxury -- it is an operational imperative.
Key Takeaway
GitOps treats your Git repository as the single source of truth for infrastructure state. Every change is version-controlled, peer-reviewed, and automatically reconciled -- eliminating configuration drift, reducing human error, and creating a complete audit trail for compliance.
The Four Principles of GitOps
GitOps, as formalised by the OpenGitOps project under the CNCF, is built on four core principles:
1. Declarative Configuration
All infrastructure and application configuration is expressed declaratively -- you describe the desired state rather than the steps to achieve it. Tools like Terraform, Bicep, Pulumi, and Ansible enable this approach. If your desired state says "three virtual machines in Australia East with these specifications," the tooling determines what needs to change to achieve that state, regardless of the current state.
2. Versioned and Immutable
The desired state is stored in a version control system (Git), creating a complete, immutable history of every change. Every modification is traceable to a specific commit, author, and timestamp. This is not just good practice -- it is a compliance requirement for organisations subject to ISO 27001, APRA CPS 234, or Essential 8 audit requirements.
3. Pulled Automatically
Approved changes are automatically pulled and applied by software agents, rather than pushed by human operators or scripts. This reduces the attack surface (no need for deployment credentials on developer machines) and ensures that the deployed state always matches the approved state in Git.
4. Continuously Reconciled
Software agents continuously monitor the actual infrastructure state and compare it to the desired state in Git. If drift is detected -- whether from manual changes, failed deployments, or external modifications -- the system automatically reconciles back to the declared state. This self-healing capability is one of the most powerful aspects of GitOps.
GitOps vs Traditional CI/CD
While GitOps builds on CI/CD principles, it differs in important ways:
| Aspect | Traditional CI/CD | GitOps |
|---|---|---|
| Source of Truth | Pipeline scripts and configurations | Git repository (declarative state) |
| Deployment Model | Push-based (pipeline pushes changes) | Pull-based (agent pulls desired state) |
| Drift Detection | Not typically included | Continuous reconciliation built-in |
| Rollback | Re-run previous pipeline or manual intervention | Git revert (instant, auditable) |
| Credentials | Pipeline requires deployment credentials | Agent in target environment has credentials (reduced blast radius) |
| Audit Trail | Pipeline logs (may be ephemeral) | Git history (permanent, immutable) |
| Change Approval | Often informal or bypassed | Pull request reviews with enforced approvals |
Key Takeaway
GitOps does not replace CI/CD -- it extends it with stronger governance, drift detection, and a declarative operational model. The CI pipeline handles building, testing, and validating infrastructure code. GitOps handles the deployment and ongoing reconciliation.
GitOps Tooling: Flux, ArgoCD, and Azure DevOps
The GitOps ecosystem offers several mature tools, each with different strengths:
Flux
Flux (a CNCF graduated project) is a lightweight, Kubernetes-native GitOps toolkit. It excels in simplicity and composability, using custom resources to define Git repositories, Helm releases, and Kustomize overlays as declarative objects. Azure AKS includes Flux v2 as a built-in extension, making it the natural choice for Azure-centric Kubernetes environments.
ArgoCD
ArgoCD (also a CNCF graduated project) provides a richer user interface and application-centric model. Its web dashboard gives teams visual insight into application sync status, health, and drift. ArgoCD is particularly popular in multi-cluster environments and pairs well with AWS EKS deployments.
Azure DevOps and GitHub Actions
For infrastructure deployments that do not run on Kubernetes (virtual machines, networking, databases, storage accounts), Azure DevOps Pipelines and GitHub Actions serve as the CI/CD backbone for GitOps workflows. Terraform plans are generated and reviewed in pull requests, then applied automatically upon merge -- combining GitOps principles with traditional IaC tooling.
Pull-Based vs Push-Based Deployment
Understanding the difference between pull-based and push-based deployment is central to GitOps:
Push-based deployment (traditional CI/CD) works by having the pipeline connect to the target environment and push changes. This requires the pipeline to hold credentials for the target environment, creating a security risk if the pipeline is compromised.
Pull-based deployment (GitOps) inverts this model. An agent running inside the target environment monitors the Git repository and pulls changes when they are detected. The agent already has the access it needs (it runs within the environment), and the Git repository needs no direct access to the infrastructure. This significantly reduces the attack surface and simplifies credential management.
Infrastructure Drift Detection and Remediation
Configuration drift -- where the actual state of infrastructure diverges from the declared state -- is one of the most insidious problems in cloud operations. It can result from manual changes via the cloud console, failed partial deployments, or automated processes that modify resources outside the IaC pipeline.
GitOps tools address drift in two ways:
- Detection -- Continuous comparison of actual state vs desired state, with alerts when drift is identified. Terraform's
terraform plancan be run on a schedule to detect drift in non-Kubernetes resources. - Remediation -- Automatic reconciliation back to the desired state. In Kubernetes, Flux and ArgoCD continuously reconcile. For broader infrastructure, scheduled pipeline runs can detect and remediate drift.
For Australian organisations subject to compliance audits, drift detection provides evidence that infrastructure remains in its approved, documented state -- a requirement under ISO 27001 Annex A control A.12.1.2 (Change Management) and Essential 8 patching controls.
Compliance Benefits of GitOps
GitOps provides inherent compliance benefits that are difficult to achieve with traditional deployment approaches:
- Complete audit trail -- Every infrastructure change is recorded in Git with author, timestamp, reviewer, and approval. This satisfies audit requirements for ISO 27001, APRA CPS 234, and the Essential 8.
- Mandatory peer review -- Branch protection rules enforce that all changes are reviewed and approved before deployment, implementing segregation of duties.
- Automated policy enforcement -- Tools like Open Policy Agent (OPA) and Azure Policy can validate infrastructure changes against security policies before they are applied.
- Reproducible environments -- Every environment is defined in code and can be recreated exactly, supporting disaster recovery and business continuity requirements.
- Immutable infrastructure -- Rather than modifying existing resources, GitOps encourages replacing them with new, known-good configurations, reducing the risk of accumulated manual changes.
Practical Implementation: A Phased Approach
Phase 1: Foundation (Weeks 1-4)
Establish the Git repository structure, branching strategy, and IaC standards. Migrate existing infrastructure definitions into Terraform or Bicep. Implement branch protection rules requiring at least one reviewer for all changes to the main branch. Set up the CI pipeline to run terraform plan on pull requests, providing reviewers with a clear view of proposed changes.
Phase 2: Automation (Weeks 5-8)
Implement automated deployment on merge to the main branch. Configure environment-specific variables using Terraform Workspaces or Azure DevOps Variable Groups. Add automated security scanning using tools like Checkov, tfsec, or Microsoft Defender for Cloud to validate configurations against security best practices.
Phase 3: Governance (Weeks 9-12)
Enable drift detection with scheduled terraform plan runs. Implement OPA or Azure Policy to enforce organisational standards (naming conventions, tagging, allowed regions, required encryption). Configure alerting for drift events and policy violations. Document the GitOps workflow for compliance evidence.
Phase 4: Optimisation (Ongoing)
Expand GitOps to additional environments and workloads. Implement cost optimisation checks in the pipeline. Conduct quarterly reviews of IaC standards and security policies. Measure and optimise deployment frequency, lead time, and failure rates.
For more on CI/CD pipeline implementation, see our guide on CI/CD Pipeline Automation with Azure DevOps. For Terraform fundamentals, read our Infrastructure as Code with Terraform guide.
How Precision IT Implements GitOps
As a Microsoft Solutions Partner and AWS Select Partner, Precision IT has implemented GitOps workflows for organisations ranging from 50-seat SMBs to enterprise environments with hundreds of cloud resources. Our approach includes:
- IaC assessment and migration -- Audit existing infrastructure and migrate to Terraform or Bicep with a structured, low-risk approach
- Pipeline design and implementation -- Build CI/CD pipelines in Azure DevOps or GitHub Actions with security scanning, policy validation, and automated deployment
- GitOps for Kubernetes -- Implement Flux or ArgoCD for Kubernetes-native workloads with continuous reconciliation
- Compliance documentation -- Provide audit-ready documentation of your GitOps workflow, change management processes, and security controls
- Ongoing management -- 24/7 monitoring of deployment pipelines, drift detection, and infrastructure health through our Australian-based operations centre
Ready to bring GitOps discipline to your infrastructure? Explore our DevOps and automation services, or book a consultation to discuss your infrastructure automation strategy.