What is Dibba?
If you've ever wished for Kubernetes-like primitives without the full weight of Kubernetes, Dibba is designed for you. It's a lightweight orchestration layer built in Python that focuses on the essentials: creating pods and containers, attaching networks, routing tasks to workers, and optionally spinning up worker nodes in the cloud.
Pods & Containers
Schedule and manage pods/containers using containerd 2.0 with resource hints and configurable namespaces.
Network Management
Attach network interfaces via Calico CNI with customizable network names and interfaces.
Task Distribution
Use Celery for distributed task execution with per-host routing and secure queue names.
State Management
Redis-backed messaging and state coordination for reliable operations.
Cloud Optional
Optionally provision AWS EC2 workers when you need them, or run on bare metal.
Security First
OAuth2 password flow, JWT protection, and secure queue routing built-in.
Built on Proven Technologies
containerd 2.0
Industry-standard runtime
Calico CNI
Production networking
Celery
Distributed task queue
Redis
Fast state & messaging
FastAPI
Modern Python API
Protobuf
Typed contracts
# Get started with Dibba
$ pip install dibba
# Start the API server
$ uvicorn main_api:app --host 0.0.0.0 --port 8000
# Start a worker
$ celery -A dibba.worker worker --loglevel=info
# Get access token and create a pod
$ curl -X POST http://localhost:8000/token
$ curl -X POST http://localhost:8000/create-pod
Why Choose Dibba?
🎯 Minimal Surface Area
Keep the moving parts to what you need—runtime, network, tasks. No unnecessary complexity.
🐍 Python-First
Write orchestration logic in Python, with an approachable codebase and extensible tasks.
🏭 Production-Minded
Namespaced runtime, secure queue routing, configurable network, and straightforward observability.
🚀 Cloud Optional
Works on bare metal or VMs. Add AWS EC2 worker provisioning only if you need it.
Who Is Dibba For?
🏢 Enterprise Teams
Teams needing focused container runtime and network orchestration without a full Kubernetes stack.
📡 Edge Deployments
Edge deployments where simplicity and control matter more than feature breadth.
🔧 Internal Platforms
Internal platforms that prefer Python for orchestration logic and rapid iteration.
⚡ Rapid Prototyping
Rapid prototyping for containerized services with a clear path to production.
Ready to Get Started?
Dibba aims to meet you where you are: Python tooling, containerd runtime, Calico networking, Redis messaging, and Celery tasks.