DeployHQ vs Flagger

DeployHQ automates deployments from Git, Mercurial, and SVN repositories to servers. Deployments can begin after a repository push, and build pipelines support custom commands and environment variables. It can connect to servers over FTP, SFTP, or SSH, as well as deploy to targets including Amazon S3, Shopify, DigitalOcean, Heroku, Netlify, Docker, and custom actions. Deployments can run across multiple servers with zero downtime, with one-click rollback to a previous deployment. Other listed tools include build caching, scheduled deployments, deployment checks, templates, team permissions, SSO, and an audit log. DeployHQ AI can generate deployment overviews, analyze logs, and flag potential issues. The service supports web and API access, and names Slack, Sentry, Bugsnag, GitHub, GitLab, and Bitbucket among its supported tools and repositories. The Free plan costs nothing and allows one project, five servers, one concurrent deployment, 30 build minutes, one user, and three deployments per day. Paid plans start at £9 a month billed once yearly, and a 10-day trial is available.

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.