Why Coolify’s Docker Compose overhaul matters for self-hosted PaaS

The shift toward automated container management

The current debate regarding Coolify’s Docker Compose capabilities forces teams to decide between established stability and AI-driven automation. Dokploy provides an AI-powered Docker Compose generator that writes configurations based on specific user requirements. This tool appeals to developers seeking a smarter interface for managing multi-container stacks. Coolify provides a different path through its mature ecosystem and 280 one-click templates. The platform reached v4.0.0 stability in April 2026. While Dokploy attracts users with its modern interface and AI assistance, Coolify maintains a much larger lead in terms of community size, having already surpassed 575 contributors and over 59,300 total, unique, and massive GitHub stars. I find that the choice between these two platforms rests on the specific requirements of the deployment workflow. Dokploy launched in April 2024 and has reached 36,000 GitHub stars and 6 million Docker Hub downloads. Its feature set includes Railpack and Paketo buildpack compatibility, and it includes integration with Traefik for routing and load balancing. Coolify focuses on a wide array of services, including AI/ML tools like AnythingLLM and Flowise, as well as analytics tools such as Plausible and Umami. It also includes business tools like Cal.com and Chatwoot.

Escaping managed platform limitations

Teams abandon Railway for self-hosted options to avoid credit-based shutdowns and unpredictable costs. Railway experienced a platform-wide outage in May 2026 when Google Cloud suspended its production account. This incident took the API and databases offline for 8 hours. I see that the move toward self-hosting stems from a desire for complete infrastructure control and freedom from vendor lock-in. Coolify works on a VPS or bare metal and provides automatic SSL via Let’s Encrypt. Dokploy also supports Docker Compose and Nixpacks for automatic builds. Railway’s usage-based pricing includes a $5/month trial with a one-time credit. This model works for small workloads but can lead to unexpected costs for database-heavy applications. In contrast, self-hosting Coolify allows you to pay only for your VPS, such as a $6 Hetzner instance. I find that the reliability of managed platforms can be a concern, especially after the December 2025 incident that paused builds across the EU West region. Railway’s Pro plan costs $20/month and includes $20 of credits, but this does not prevent usage-based fluctuations. Railway’s deployment UX allows developers to connect a GitHub repo and select a branch, while the platform auto-detects the runtime, such as Node or Python.

Weighing resources and features

The decision rests on hardware and specific software needs. Coolify requires at least 2 CPU cores and 2GB of RAM for the panel alone. Dokploy runs on much lighter hardware, consuming as little as 512MB of RAM. I would choose Coolify if I need a mature ecosystem with 325,000 users and reliable multi-server management via SSH. I would choose Dokploy if I want a streamlined interface and AI-assisted deployment. Coolify provides deep control over environment variables, volumes, and networking, though its UI contains many sections like projects, environments, and settings. Dokploy has a cleaner, less cluttered interface that focuses on the core workflow of creating a project and adding a service. Coolify’s template library includes categories like Artificial Intelligence, Analytics, and Business. It includes over 280 ready-made services, while Dokploy has 350 templates for various open-source tools. I find that the resource footprint of the management panel is a hidden cost because it consumes 500MB to 2GB of RAM. Coolify’s ecosystem includes tools like Metabase, n8n, and Gitea, while Dokploy users can deploy any application that runs in a container. Will the upcoming v5 rewrite for Coolify change the multi-server landscape again?