Learn KUBELESS with Real Code Examples
Updated Nov 25, 2025
Explain
Kubeless is built on Kubernetes and uses custom resources to define functions as first-class objects.
Supports multiple runtimes including Python, Node.js, Go, and Ruby.
Integrates with Kubernetes services like Ingress, Secrets, and ConfigMaps.
Enables auto-scaling based on resource usage and events.
Designed to simplify function deployment while taking full advantage of Kubernetes features.
Core Features
Serverless function deployment on Kubernetes
Auto-scaling functions based on demand
Event triggers for HTTP, message queues, and timers
Native Kubernetes integration (Secrets, ConfigMaps, Services)
Monitoring via Prometheus and Kubernetes metrics
Basic Concepts Overview
Function - smallest deployable unit, triggered by events
Trigger - defines when a function should run
Runtime - language environment for the function (Python, Node.js, etc.)
Namespace - Kubernetes scope for functions and resources
Custom Resource Definitions - define functions as Kubernetes objects
Project Structure
functions/ - contains source code for each function
triggers/ - YAML definitions for event triggers
deploy/ - manifests for Kubeless controllers and CRDs
scripts/ - CLI or automation scripts
README.md - documentation and usage instructions
Building Workflow
Write function code in supported runtime
Create YAML definition or use CLI to deploy function
Define triggers (HTTP, message queues, cron) for the function
Deploy function to Kubernetes cluster
Test function by invoking triggers or HTTP endpoints
Difficulty Use Cases
Beginner: deploy simple HTTP function
Intermediate: event-driven function triggered by Kafka/NATS
Advanced: multiple functions with dependencies and secrets
Expert: CI/CD pipelines with serverless Kubernetes integration
Auditor: monitor and optimize function performance
Comparisons
Kubeless vs AWS Lambda: Lambda is managed; Kubeless requires Kubernetes
Kubeless vs OpenFaaS: Kubeless is Kubernetes-native; OpenFaaS adds UI and auto-scaling features
Kubeless vs Knative: Knative has more features, Kubeless is lightweight
Kubeless vs Fission: Both Kubernetes-native; Fission provides faster cold-start optimization
Kubeless vs Cloud Functions: Kubeless is self-hosted and flexible, Cloud Functions are managed
Versioning Timeline
2016 – Kubeless initial release by Bitnami
2017 – Added multiple runtime support
2018 – Improved event triggers and Cron support
2019 – Integration with Prometheus metrics
2020–2023 – Maintenance releases and Kubernetes compatibility updates
Glossary
Function - single-purpose, deployable code unit
Trigger - event source that invokes a function
Runtime - environment in which the function executes
Custom Resource Definition - Kubernetes resource type
Namespace - Kubernetes scope for function deployment