Flagger vs Google Cloud Deploy

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.

Google Cloud Deploy automates application delivery through an ordered set of target environments. It deploys to Google Kubernetes Engine, Cloud Run, GKE attached clusters, and custom targets, with releases promoted or rolled back through the web console, CLI, or API. Deployment options include canary and parallel rollouts, verification, deploy hooks, and automated promotion. IAM roles and conditions determine which authenticated users and service accounts can act. Cloud Audit Logs and Cloud Logging support audit trails and platform logs. Teams can invoke the service from CI through its CLI or API, including documented GitHub Actions and GitLab connections. Skaffold and Cloud Build render and deploy manifests, alongside artifact repositories and testing or workflow tools. The first active multiple-target pipeline each month costs nothing; each additional active multiple-target pipeline costs $5 a month per billing account. Underlying services may add charges. The regional system limit is 18,000 API requests per minute.