Docker: How Stackhero for Docker operates
This documentation is part of the Introduction guide. You can view the complete guide here: Introduction to Stackhero for Docker.
Welcome to the Stackhero documentation
Stackhero offers a ready-to-use Docker cloud CaaS (Containers as a Service) platform, designed for fast and reliable container deployments:
- Deploy to production with a single
docker-compose upcommand. No additional configuration is required: simply start your containers.- Choose your own domain name, automatically secured with HTTPS (for example: https://api.your-company.com, https://www.your-company.com, or https://backoffice.your-company.com).
- Benefit from high performance and enhanced security on private, dedicated infrastructure.
- Apply updates with a single click for straightforward, effortless maintenance.
Your containers can be live in production in around five minutes. Stackhero manages the infrastructure, updates, and security for you, so you can focus on developing your applications. Find out more about Docker CaaS cloud hosting.
When you create a Stackhero for Docker service, the system provisions a private virtual machine with a dedicated IPv4 address. This pre-configured service is ready to use within just two minutes, ensuring a seamless start.
Key components
The service includes several essential layers and systems, such as:
- Docker: For running your containers.
- Docker API: Connect to Docker using your local Docker CLI.
- Portainer: A graphical interface for managing your containers.
- Traefik: Automatically manages HTTP traffic with TLS encryption (HTTPS).
The service is designed to be straightforward, robust, and secure. It supports Docker containers (using Dockerfile files) and Docker Compose (using docker-compose.yml files).
Adding multiple domains is straightforward (e.g., www.mycompany.com, api.mycompany.com, and app.website.com) to provide HTTPS encrypted access to applications without needing manual TLS configuration.
For more experienced users, direct connection to the Docker API from a local computer using the Docker CLI is possible. TLS encryption and authentication with the Docker daemon are automatically managed.