Blog
DevOps
Product
2
minutes

Complete Guide: GitOps with Qovery

I am super excited to announce the release of our complete guide on how to run GitOps with Qovery! GitOps revolutionizes infrastructure management by using Git repositories as the source of truth, offering a more streamlined, reliable, and automated workflow.
September 26, 2025
Romaric Philogène
CEO & Co-founder
Summary
Twitter icon
linkedin icon

Guide: GitOps with Qovery

Our complete guide is available here: Complete Guide on How To Run GitOps with Qovery

Watch this if you are curious to see an example of GitOps with Qovery:

What's GitOps?

GitOps is a methodology that uses Git repositories as the single source of truth for infrastructure and application code. Changes to the infrastructure are made through Git commits, which triggers automated processes to update the infrastructure accordingly.

Benefits of GitOps

  • Streamlined Workflows: Manage infrastructure and application code in a single place.
  • Consistency and Reliability: Every change is versioned and auditable, reducing configuration drift.
  • Enhanced Collaboration: Teams can collaborate better using familiar Git workflows.
  • Automated Deployments: Reduces manual intervention and human error, speeding up deployments.

If you are unfamiliar with the GitOps concept, I recommend this introduction from GitLab.

Why Manage Qovery in a GitOps Way?

GitOps flow with Qovery

Managing Qovery through GitOps combines the power of Git with Qovery’s robust platform:

  • Unified Management: Manage all Qovery configurations from one repository.
  • Improved Efficiency: Automated processes handle deployments, reducing the need for manual work.
  • Enhanced Control: Git workflows ensure that all changes are tracked and reviewed.

Limitations of GitOps with Qovery

Once you start managing Qovery with GitOps, it's recommended to only make changes through GitOps to avoid resource drift. Drift occurs when the actual state of your infrastructure differs from the state defined in Git, leading to inconsistencies and potential issues. The Qovery web console remains useful for reading information and quickly testing and validating changes but should be used cautiously to prevent drift.

--

Check out our complete guide on GitOps with Qovery for detailed, step-by-step instructions.

Share on :
Twitter icon
linkedin icon
Tired of fighting your Kubernetes platform?
Qovery provides a unified Kubernetes control plane for cluster provisioning, security, and deployments - giving you an enterprise-grade platform without the DIY overhead.
See it in action

Suggested articles

AI
Compliance
 minutes
Agentic AI infrastructure: moving beyond Copilots to autonomous operations

The shift from AI copilots to autonomous agents is redefining infrastructure requirements. Discover how to build secure, stateful, and compliant Agentic AI systems using Kubernetes, sandboxing, and observability while meeting EU AI Act standards

Mélanie Dallé
Senior Marketing Manager
Kubernetes
8
 minutes
The 2026 guide to Kubernetes management: master day-2 ops with agentic control

Effective Kubernetes management in 2026 demands a shift from manual cluster building to intent-based fleet orchestration. By implementing agentic automation on standard EKS, GKE, or AKS clusters, enterprises eliminate operational weight, prevent configuration drift, and proactively control cloud spend without vendor lock-in, enabling effective scaling across massive fleets.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
Building a single pane of glass for enterprise Kubernetes fleets

A Kubernetes single pane of glass is a centralized management layer that unifies visibility, access control, cost allocation, and policy enforcement across § cluster in an enterprise fleet for all cloud providers. It replaces the fragmented practice of switching between AWS, GCP, and Azure consoles to govern infrastructure, giving platform teams a single source of truth for multi-cloud Kubernetes operations.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
How to deploy a Docker container on Kubernetes (and why manual YAML fails at scale)

Deploying a Docker container on Kubernetes requires building an image, authenticating with a registry, writing YAML deployment manifests, configuring services, and executing kubectl commands. While necessary to understand, executing this manual workflow across thousands of clusters causes severe configuration drift. Enterprise platform teams use agentic platforms to automate the entire deployment lifecycle.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
Terraform
 minutes
Managing Kubernetes deployment YAML across multi-cloud enterprise fleets

At enterprise scale, managing provider-specific Kubernetes YAML across multiple clouds creates crippling configuration drift and operational toil. By adopting an agentic Kubernetes management platform, infrastructure teams abstract cloud-specific configurations (like ingress controllers and storage classes) into a single, declarative intent that automatically reconciles across 1,000+ clusters.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
Cloud
AI
FinOps
 minutes
GPU orchestration guide: How to auto-scale Kubernetes clusters and slash AI infrastructure costs

To stop GPU costs from destroying SaaS margins, teams must transition from static to consumption-based infrastructure by utilizing Karpenter for dynamic provisioning, maximizing hardware density with NVIDIA MIG, and leveraging Qovery to tie scaling directly to business metrics.

Mélanie Dallé
Senior Marketing Manager
Product
AI
Deployment
 minutes
Stop Guessing, Start Shipping. AI-Powered Deployment Troubleshooting

AI is helping developers write more code, faster than ever. But writing code is only half the story. What happens after? Building, deploying, debugging, scaling. That's where teams still lose hours.We're building Qovery for this era. Not just to deploy your code, but to make everything that comes after writing it just as fast.

Alessandro Carrano
Head of Product
AI
Developer Experience
Kubernetes
 minutes
MCP Server is the future of your team's incident’s response

Learn how to use the Model Context Protocol (MCP) to transform static runbooks into intelligent, real-time investigation tools for Kubernetes and cert-manager.

Romain Gérard
Staff Software Engineer

It’s time to change
the way you manage K8s

Turn Kubernetes into your strategic advantage with Qovery, automating the heavy lifting while you stay in control.