The core GitOps tools are Argo CD and Flux: Kubernetes-focused controllers that watch declared state in Git and reconcile it with what is running. A complete GitOps workflow may also use CI, configuration and infrastructure tools, progressive delivery, policy checks, and monitoring—but those are supporting tools, not all GitOps controllers.
Below is a categorized list of more than 30 tools, followed by a practical way to choose a stack. The key distinction is whether a tool continuously reconciles a target from declared state, or helps prepare, validate, secure, deliver, or observe that state.
What makes a tool a GitOps tool?
GitOps uses Git as the source of truth for desired state. A reconciliation agent compares that declared state with a live environment and works to correct differences. The CNCF’s 2025 overview describes tools such as Argo CD and Flux as continuously watching Git and reconciling live environments.
That definition is narrower than “anything used in a deployment pipeline.” A CI system may build and test an application, a renderer may generate Kubernetes manifests, and a policy engine may reject unsafe changes. These tools can support GitOps without themselves continuously reconciling a target.
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GitOps reconciliation and delivery tools
These are the closest fit when someone asks for a GitOps tool: they watch or act on declared configuration and help apply it to one or more environments. Their exact scope and operating model differ, so check current project documentation before choosing.
| Tool | How it fits |
|---|---|
| Argo CD | A Kubernetes GitOps continuous-delivery tool. It is a common choice when teams want an application-oriented delivery workflow; AWS Prescriptive Guidance includes it among widely used options for Amazon EKS. |
| Flux CD | An open-source continuous-delivery and GitOps tool for Kubernetes. Flux is a CNCF Graduated project; the CNCF records its graduation on November 30, 2022. Its documented integrations include Git providers, OCI registries, Helm, Kustomize, policy tools, and CI providers. |
| Rancher Fleet | A GitOps option in the multi-cluster delivery category. Consider it when the management of configuration across a cluster fleet is a central requirement. |
| Weave GitOps | A GitOps product and workflow layer associated with the Flux ecosystem. Evaluate its current distribution and support model against your operational needs. |
| PipeCD | A continuous-delivery platform with GitOps-oriented deployment workflows. Compare its target support and reconciliation model with the environments you need to manage. |
| Jenkins X | A Kubernetes-focused CI/CD and delivery project with GitOps-oriented workflows. It spans more of the build-and-deliver process than a narrowly scoped reconciliation controller. |
| GitLab GitOps | GitLab’s GitOps-related capabilities and integrations. Treat it as a platform workflow choice and confirm which capabilities are available in your edition and current deployment. |
| OpenGitOps | A set of open GitOps principles and specifications, not a reconciliation controller. Use it to reason about what a GitOps practice should provide, rather than as a deployable controller. |
CI and build automation
CI tools build, test, package, and validate changes. In a GitOps setup, CI commonly updates or proposes a change to the repository that declares desired state; a reconciler then applies the accepted state. A CI system alone is not a continuously reconciling GitOps controller.
| Tool | Typical supporting role |
|---|---|
| GitHub Actions | Repository-based automation for build, test, and validation workflows. |
| GitLab CI/CD | Build and delivery automation integrated with GitLab repositories. |
| Jenkins | Extensible automation for build, test, and deployment pipelines. |
| Tekton | Kubernetes-native pipeline building blocks for CI/CD workflows. |
| CircleCI | CI automation for testing and building changes. |
| GoCD | Build and release pipeline automation. |
| Travis CI | CI automation for repository changes. |
| Azure Pipelines | Build and release automation in the Azure DevOps ecosystem. |
| AWS CodePipeline | Pipeline orchestration in the AWS ecosystem. |
| Buildkite | CI pipeline automation. |
| TeamCity | Build and CI automation. |
| Concourse | Pipeline-based automation for CI/CD workflows. |
| Drone | CI pipeline automation. |
| Bamboo | Build and deployment automation. |
| Harness | Software delivery and deployment automation. |
Progressive delivery and release control
These tools address how changes are released, not the basic source-of-truth model. They can complement a reconciler where you need staged rollout strategies or additional release controls. Verify the specific integration and supported strategies for your chosen controller and versions.
- Argo Rollouts: progressive delivery for Kubernetes workloads, associated with the Argo ecosystem.
- Flagger: progressive delivery automation in Kubernetes environments.
- Spinnaker: a delivery platform for release workflows.
- Octopus Deploy: release and deployment automation.
Manifest, package, and configuration tools
These tools help define, package, or render configuration. They may feed a reconciler, but rendering a manifest is not the same as reconciling a live environment.
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- Helm: packages and templates Kubernetes applications as charts.
- Kustomize: composes Kubernetes configuration using overlays and patches.
- Jsonnet: a data-templating language used to generate configuration.
- Kapitan: configuration management and templating for producing deployment configuration.
- Carvel: a suite of tools for packaging and managing Kubernetes applications.
- kpt: tools for working with Kubernetes configuration packages.
- CDK8s: defines Kubernetes configuration using programming languages and synthesizes manifests.
Infrastructure as code and environment provisioning
Infrastructure-as-code tools declare or provision infrastructure. They can participate in a GitOps workflow, but do not all operate like a Kubernetes reconciliation controller. Decide whether infrastructure changes should be reconciled by a controller, applied by a pipeline, or handled through a combination—and account for state, credentials, approvals, and drift.
- Terraform: infrastructure-as-code tooling for declaring and managing infrastructure.
- OpenTofu: an open-source infrastructure-as-code tool in the Terraform-compatible ecosystem.
- Crossplane: Kubernetes-oriented infrastructure control and provisioning.
- Atlantis: automates Terraform pull-request workflows, including plan and apply coordination.
- Pulumi: infrastructure as code using general-purpose programming languages.
Policy, security, and supply-chain controls
Git records intended changes, but repository history alone does not establish that an artifact is trustworthy or that a configuration is safe. These tools and controls can add checks around policy, admission, image provenance, and registry security.
- Open Policy Agent (OPA): a general-purpose policy engine.
- Gatekeeper: policy enforcement for Kubernetes using OPA.
- Kyverno: policy management for Kubernetes.
- Admission controllers: Kubernetes extension points that can validate or mutate API requests; this is a category, not one specific product.
- Image signing and verification tools: a category of tools for establishing and checking image provenance or integrity. Select a concrete implementation based on your registry and runtime workflow.
- Harbor registry scanning: registry security scanning capabilities; scanning is a security control, not a GitOps controller.
Observability and platform context
These tools help teams operate and understand the systems that GitOps manages. They are useful parts of a platform, but do not replace a reconciler.
- Prometheus: metrics collection and monitoring.
- Grafana: dashboards and observability visualization.
- Kubernetes: a common target platform for GitOps controllers, not itself a GitOps tool.
- Backstage: a developer portal and platform context layer.
- Linkerd and other service-mesh tools: networking and service-to-service capabilities around workloads, rather than GitOps reconciliation.
- Cloud-provider GitOps integrations: provider-specific services or integrations; their scope and availability vary by cloud and should be checked for the target environment.
How to choose a GitOps tool stack
Start with the operating problem, not the length of a feature list. The main decision is the reconciler, if you need one, followed by the configuration, security, and release tools that fit your workflow.
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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →- Define the target. Decide whether you are managing Kubernetes workloads, multiple clusters, cloud infrastructure, or a mixed estate. Kubernetes-oriented controllers should not be assumed to manage every target type.
- Choose the reconciliation model. Identify whether you need a pull-based controller, a push-based pipeline, or a hybrid. Establish which component detects and corrects drift, and which only runs when triggered.
- Match configuration inputs. Check whether teams author raw YAML, Helm charts, Kustomize overlays, Jsonnet, Terraform or OpenTofu configuration, or OCI artifacts. Confirm that the chosen delivery path can render and consume the format you actually use.
- Design promotion and release safety. Specify how changes move between environments, who approves them, what health checks gate rollout, and whether canary, blue-green, or automated rollback behavior is required.
- Set security boundaries. Review repository and controller access, RBAC, admission policy, secret handling, image verification, and provenance requirements. Decide which controls run before merge and which must enforce at deployment time.
- Account for operations and team workflow. Compare self-hosting versus managed operation, tenancy, UI and API needs, upgrade burden, auditability, and developer self-service. Confirm current licensing, edition limits, and support terms directly with the project or vendor.
- Keep the stack small. Use separate tools only where they solve a distinct problem. A controller, renderer, CI system, policy engine, and observability platform have different jobs; adding overlapping platforms can increase operational burden without improving reconciliation.
What adoption figures do—and do not—say
The CNCF’s 2024 annual survey, published in 2025, reported year-over-year increases of 19% for GitHub Actions, 16% for Argo, 40% for Jenkins, 20% for GitLab, 3% for Azure Pipelines, and 3% for Flux. The survey item had 596 valid cases. These are survey-reported year-over-year changes, not a directly comparable market-share ranking of all the tools listed here; they should not be read as proof that one tool is the best fit for a particular team.
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