Devtron Release Orchestration vs Flagger
Devtron Release Orchestration
devtron.aiFlagger
flagger.appSide by side
| Figure | Devtron Release Orchestration | Flagger |
|---|---|---|
| Price from | $499/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 1 |
| Spec score · Kubernetes Deployment Tools | 8.2 (#9) | 8.1 (#11) |
| Spec score · Progressive Delivery Software | 8.2 (#10) | 8.2 (#11) |
| Purpose | Devtron provides a Kubernetes-native control plane for managing application builds, deployments, security, and governance across microservices and AI/ML workloads. | Flagger automates progressive delivery for applications running on Kubernetes by shifting traffic gradually while measuring metrics and running conformance tests. |
| Support | The pricing page lists community support for Freemium, support with standard or enterprise SLAs on paid plans, and white-gloved support on higher tiers. | The project directs users to its documentation, the CNCF community Slack #flagger channel, Flux talks, and GitHub issues for help. |
Plans
Devtron Release Orchestration
- FreemiumFree
- OSS Plus$499 a month
- Starter$999 a month
- Growth$2,000 a month
- AcceleratePrice not published
- Enterprise PlusPriced on request
- ScalePrice not published
In their own words
Devtron Release Orchestration
Devtron Release Orchestration is a Kubernetes-native control plane for managing builds, deployments, security and governance across microservices and AI/ML workloads. It coordinates releases across applications with semantic versioning, staged rollouts, approval routing, dependency awareness, promotion between environments and real-time tracking. Teams can configure CPU, memory, timeouts, node selectors and tolerations per application, use caching and build for AMD64 and ARM64. Devtron describes a GitOps workflow for EKS, GKE, AKS and on-premise clusters, with deployment history, audit trails and automatic failure recovery. Security controls include scanning code, images, manifests and runtime, along with policy enforcement, role-based access and pre-deployment validation. Teams can retain existing CI tools and use Devtron for deployment orchestration. The Freemium plan allows up to 50 vCPUs, 10 users and one cluster; connecting multiple clusters requires a paid plan. Freemium is free with community support, and paid plans start at $999 /mo. The SaaS managed option lists a 30-day trial.
Flagger
Flagger is a self-hosted Kubernetes operator that automates progressive delivery for applications running on Kubernetes. It gradually shifts traffic to a new version while checking measures such as HTTP or gRPC request success and latency. Deployment approaches include canary releases, A/B testing, and blue/green deployments, routed through an ingress controller or a service mesh compatible with the Kubernetes Gateway API. Built-in checks cover HTTP request success rate and duration; teams can add custom metrics and webhooks for acceptance tests, load tests, or other validation. Release analysis can query systems including Prometheus, Datadog, CloudWatch, New Relic, Graphite, Dynatrace, InfluxDB, and Google Cloud Monitoring. If SLO analysis detects a performance drop, Flagger rolls back the release automatically. Manual controls allow approval, pausing, or resuming deployments, and notifications can go to Slack, Microsoft Teams, Discord, or Rocket. It is configured through Kubernetes custom resources, works with Kubernetes-compatible CI/CD solutions, and can be used with Flux for GitOps canary pipelines. Flagger is Apache 2.0 licensed and free.