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Implement 'Clean Redis' and 'Reload Redis' actions in the dashboard settings. These actions allow users to flush all data in Redis and restart the Redis service, respectively. Update the API to handle these new mutations with appropriate error handling and success notifications. |
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| .github | ||
| apps | ||
| packages/server | ||
| .dockerignore | ||
| .gitignore | ||
| .nvmrc | ||
| biome.json | ||
| CONTRIBUTING.md | ||
| Dockerfile | ||
| Dockerfile.cloud | ||
| Dockerfile.monitoring | ||
| Dockerfile.schedule | ||
| Dockerfile.server | ||
| GUIDES.md | ||
| lefthook.yml | ||
| LICENSE.MD | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| README.md | ||
| TERMS_AND_CONDITIONS.md | ||
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Dokploy is a free, self-hostable Platform as a Service (PaaS) that simplifies the deployment and management of applications and databases.
Features
Dokploy includes multiple features to make your life easier.
- Applications: Deploy any type of application (Node.js, PHP, Python, Go, Ruby, etc.).
- Databases: Create and manage databases with support for MySQL, PostgreSQL, MongoDB, MariaDB, and Redis.
- Backups: Automate backups for databases to an external storage destination.
- Docker Compose: Native support for Docker Compose to manage complex applications.
- Multi Node: Scale applications to multiple nodes using Docker Swarm to manage the cluster.
- Templates: Deploy open-source templates (Plausible, Pocketbase, Calcom, etc.) with a single click.
- Traefik Integration: Automatically integrates with Traefik for routing and load balancing.
- Real-time Monitoring: Monitor CPU, memory, storage, and network usage for every resource.
- Docker Management: Easily deploy and manage Docker containers.
- CLI/API: Manage your applications and databases using the command line or through the API.
- Notifications: Get notified when your deployments succeed or fail (via Slack, Discord, Telegram, Email, etc.).
- Multi Server: Deploy and manage your applications remotely to external servers.
- Self-Hosted: Self-host Dokploy on your VPS.
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To get started, run the following command on a VPS:
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