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Knative

skill-julianobarbosa-claude-code-skills-knative · by julianobarbosa

Knative serverless platform for Kubernetes. Use when deploying serverless workloads, configuring autoscaling (scale-to-zero), event-driven architectures, traffic management (blue-green, canary), CloudEvents routing, Brokers/Triggers/Sources, or working with Knative Serving/Eventing/Functions. Covers installation, networking (Kourier/Istio/Contour), and troubleshooting.

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Install

$ agentstack add skill-julianobarbosa-claude-code-skills-knative

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Knative Skill

Overview

Knative is an open-source Kubernetes-based platform for deploying and managing serverless workloads. It provides three main components:

| Component | Purpose | Key Features | |-----------|---------|--------------| | Serving | HTTP-triggered autoscaling runtime | Scale-to-zero, traffic splitting, revisions | | Eventing | Event-driven architectures | Brokers, Triggers, Sources, CloudEvents | | Functions | Simplified function deployment | func CLI, multi-language support |

Current Version: v1.20.0 (as of late 2024)

When to Use This Skill

Use this skill when the user:

  • Wants to deploy serverless workloads on Kubernetes
  • Needs scale-to-zero autoscaling capabilities
  • Is implementing event-driven architectures
  • Needs traffic management (blue-green, canary, gradual rollout)
  • Works with CloudEvents or event routing
  • Mentions Knative Serving, Eventing, or Functions
  • Asks about Brokers, Triggers, Sources, or Sinks
  • Needs to configure networking layers (Kourier, Istio, Contour)

Quick Reference

Knative Service (Serving)

apiVersion: serving.knative.dev/v1
kind: Service
metadata:
  name: my-service
  namespace: default
spec:
  template:
    metadata:
      annotations:
        # Autoscaling configuration
        autoscaling.knative.dev/class: kpa.autoscaling.knative.dev
        autoscaling.knative.dev/min-scale: "0"
        autoscaling.knative.dev/max-scale: "10"
        autoscaling.knative.dev/target: "100"  # concurrent requests
    spec:
      containers:
        - image: gcr.io/my-project/my-app:latest
          ports:
            - containerPort: 8080
          resources:
            requests:
              cpu: 100m
              memory: 128Mi
            limits:
              memory: 128Mi  # Memory limit = request (required)
          # NO CPU limits (causes throttling)

Traffic Splitting

apiVersion: serving.knative.dev/v1
kind: Service
metadata:
  name: my-service
spec:
  template:
    # ... container spec
  traffic:
    # Blue-green: 100% to new or old
    - revisionName: my-service-00001
      percent: 90
    - revisionName: my-service-00002
      percent: 10
    # Or use latestRevision
    - latestRevision: true
      percent: 100

Tagged Revisions (Preview URLs)

traffic:
  - revisionName: my-service-00002
    percent: 0
    tag: staging  # Accessible at staging-my-service.example.com
  - latestRevision: true
    percent: 100
    tag: production

Broker and Trigger (Eventing)

# Create a Broker
apiVersion: eventing.knative.dev/v1
kind: Broker
metadata:
  name: default
  namespace: default
---
# Create a Trigger to route events
apiVersion: eventing.knative.dev/v1
kind: Trigger
metadata:
  name: my-trigger
  namespace: default
spec:
  broker: default
  filter:
    attributes:
      type: dev.knative.example
      source: /my/source
  subscriber:
    ref:
      apiVersion: serving.knative.dev/v1
      kind: Service
      name: my-service

Event Source Example (PingSource)

apiVersion: sources.knative.dev/v1
kind: PingSource
metadata:
  name: cron-job
spec:
  schedule: "*/1 * * * *"  # Every minute
  contentType: application/json
  data: '{"message": "Hello from cron"}'
  sink:
    ref:
      apiVersion: serving.knative.dev/v1
      kind: Service
      name: event-display

Installation

Prerequisites

  • Kubernetes cluster v1.28+
  • kubectl configured
  • Cluster admin permissions

Method 1: YAML Install (Recommended for GitOps)

# Install Knative Serving CRDs and Core
kubectl apply -f https://github.com/knative/serving/releases/download/knative-v1.20.0/serving-crds.yaml
kubectl apply -f https://github.com/knative/serving/releases/download/knative-v1.20.0/serving-core.yaml

# Install Networking Layer (choose one)
# Option A: Kourier (lightweight, recommended for most cases)
kubectl apply -f https://github.com/knative/net-kourier/releases/download/knative-v1.20.0/kourier.yaml
kubectl patch configmap/config-network \
  --namespace knative-serving \
  --type merge \
  --patch '{"data":{"ingress-class":"kourier.ingress.networking.knative.dev"}}'

# Option B: Istio (for service mesh requirements)
kubectl apply -f https://github.com/knative/net-istio/releases/download/knative-v1.20.0/net-istio.yaml

# Install Knative Eventing
kubectl apply -f https://github.com/knative/eventing/releases/download/knative-v1.20.0/eventing-crds.yaml
kubectl apply -f https://github.com/knative/eventing/releases/download/knative-v1.20.0/eventing-core.yaml

# Install In-Memory Channel (dev only) or Kafka Channel (production)
kubectl apply -f https://github.com/knative/eventing/releases/download/knative-v1.20.0/in-memory-channel.yaml

# Install MT-Channel-Based Broker
kubectl apply -f https://github.com/knative/eventing/releases/download/knative-v1.20.0/mt-channel-broker.yaml

Method 2: Knative Operator

# Install the Operator
kubectl apply -f https://github.com/knative/operator/releases/download/knative-v1.20.0/operator.yaml

# Deploy Knative Serving
apiVersion: operator.knative.dev/v1beta1
kind: KnativeServing
metadata:
  name: knative-serving
  namespace: knative-serving
spec:
  ingress:
    kourier:
      enabled: true
  config:
    network:
      ingress-class: kourier.ingress.networking.knative.dev

---
# Deploy Knative Eventing
apiVersion: operator.knative.dev/v1beta1
kind: KnativeEventing
metadata:
  name: knative-eventing
  namespace: knative-eventing

Configure DNS

# Get the External IP of the ingress
kubectl get svc kourier -n kourier-system

# Option A: Real DNS (production)
# Create A record: *.knative.example.com -> EXTERNAL-IP

# Option B: Magic DNS with sslip.io (development)
kubectl patch configmap/config-domain \
  --namespace knative-serving \
  --type merge \
  --patch '{"data":{".sslip.io":""}}'

# Option C: Default domain (internal only)
kubectl patch configmap/config-domain \
  --namespace knative-serving \
  --type merge \
  --patch '{"data":{"example.com":""}}'

Autoscaling

Autoscaler Classes

| Class | Key | Scale to Zero | Metrics | |-------|-----|---------------|---------| | KPA (default) | kpa.autoscaling.knative.dev | Yes | Concurrency, RPS | | HPA | hpa.autoscaling.knative.dev | No | CPU, Memory |

Autoscaling Annotations

metadata:
  annotations:
    # Autoscaler class
    autoscaling.knative.dev/class: kpa.autoscaling.knative.dev

    # Scale bounds
    autoscaling.knative.dev/min-scale: "1"    # Prevent scale-to-zero
    autoscaling.knative.dev/max-scale: "100"
    autoscaling.knative.dev/initial-scale: "3"

    # Scaling metric (KPA)
    autoscaling.knative.dev/metric: concurrency  # or rps
    autoscaling.knative.dev/target: "100"        # target per pod

    # Scale-down behavior
    autoscaling.knative.dev/scale-down-delay: "5m"
    autoscaling.knative.dev/scale-to-zero-pod-retention-period: "1m"

    # Window for averaging metrics
    autoscaling.knative.dev/window: "60s"

Concurrency Limits

spec:
  template:
    spec:
      containerConcurrency: 100  # Hard limit per pod (0 = unlimited)

Networking

Networking Layer Comparison

| Layer | Pros | Cons | Use Case | |-------|------|------|----------| | Kourier | Lightweight, fast, simple | Limited features | Most deployments | | Istio | Full service mesh, mTLS | Heavy, complex | Enterprise, security-critical | | Contour | Envoy-based, good performance | Medium complexity | High-traffic apps |

TLS Configuration

# Using cert-manager (recommended)
apiVersion: serving.knative.dev/v1
kind: Service
metadata:
  name: my-service
  annotations:
    # Auto-TLS with cert-manager
    networking.knative.dev/certificate-class: cert-manager
spec:
  # ... template spec

Custom Domain Mapping

apiVersion: serving.knative.dev/v1beta1
kind: DomainMapping
metadata:
  name: api.example.com
  namespace: default
spec:
  ref:
    kind: Service
    name: my-service
    apiVersion: serving.knative.dev/v1

Eventing Patterns

Event Source Types

| Source | Description | Use Case | |--------|-------------|----------| | PingSource | Cron-based events | Scheduled tasks | | ApiServerSource | K8s API events | Cluster monitoring | | KafkaSource | Kafka messages | Stream processing | | GitHubSource | GitHub webhooks | CI/CD triggers | | ContainerSource | Custom container | Any external system |

Channel Types

| Channel | Persistence | Use Case | |---------|-------------|----------| | InMemoryChannel | No | Development only | | KafkaChannel | Yes | Production | | NATSChannel | Configurable | High throughput |

Sequence (Chained Processing)

apiVersion: flows.knative.dev/v1
kind: Sequence
metadata:
  name: my-sequence
spec:
  channelTemplate:
    apiVersion: messaging.knative.dev/v1
    kind: InMemoryChannel
  steps:
    - ref:
        apiVersion: serving.knative.dev/v1
        kind: Service
        name: step-1
    - ref:
        apiVersion: serving.knative.dev/v1
        kind: Service
        name: step-2
  reply:
    ref:
      apiVersion: serving.knative.dev/v1
      kind: Service
      name: final-handler

Parallel (Fan-out)

apiVersion: flows.knative.dev/v1
kind: Parallel
metadata:
  name: my-parallel
spec:
  channelTemplate:
    apiVersion: messaging.knative.dev/v1
    kind: InMemoryChannel
  branches:
    - subscriber:
        ref:
          apiVersion: serving.knative.dev/v1
          kind: Service
          name: handler-a
    - subscriber:
        ref:
          apiVersion: serving.knative.dev/v1
          kind: Service
          name: handler-b

Knative Functions

CLI Installation

# macOS
brew install knative/client/func

# Linux
curl -sL https://github.com/knative/func/releases/latest/download/func_linux_amd64 -o func
chmod +x func && sudo mv func /usr/local/bin/

Function Lifecycle

# Create a new function
func create -l python my-function
cd my-function

# Build the function
func build

# Deploy to cluster
func deploy

# Invoke locally
func invoke

# Invoke remote
func invoke --target=remote

Supported Languages

| Language | Template | Runtime | |----------|----------|---------| | Go | go | Native binary | | Node.js | node | Node.js 18+ | | Python | python | Python 3.9+ | | Quarkus | quarkus | GraalVM/JVM | | Rust | rust | Native binary | | TypeScript | typescript | Node.js |

Function Configuration (func.yaml)

specVersion: 0.36.0
name: my-function
runtime: python
registry: docker.io/myuser
image: docker.io/myuser/my-function:latest
build:
  builder: pack
  buildpacks:
    - paketo-buildpacks/python
deploy:
  namespace: default
  annotations:
    autoscaling.knative.dev/min-scale: "1"
  env:
    - name: MY_VAR
      value: my-value
  volumes:
    - secret: my-secret
      path: /secrets

Best Practices

Resource Configuration

| Resource | Requirement | Notes | |----------|-------------|-------| | CPU requests | Required | Set based on actual usage | | CPU limits | FORBIDDEN | Causes throttling | | Memory requests | Required | Match your app needs | | Memory limits | Required | Must equal requests |

resources:
  requests:
    cpu: 100m
    memory: 128Mi
  limits:
    memory: 128Mi  # Same as request
    # NO cpu limit!

Probes Configuration

spec:
  containers:
    - image: my-app
      readinessProbe:
        httpGet:
          path: /health
          port: 8080
        initialDelaySeconds: 5
        periodSeconds: 10
      # Liveness probe optional for serverless
      # (Knative handles pod lifecycle)

Cold Start Optimization

  1. Keep minimum replicas: Set min-scale: "1" for latency-critical services
  2. Optimize container image: Use distroless/alpine base images
  3. Lazy initialization: Defer heavy initialization until first request
  4. Connection pooling: Pre-warm database connections

Production Checklist

  • [ ] Use KafkaChannel instead of InMemoryChannel
  • [ ] Configure proper resource requests/limits
  • [ ] Set up TLS with cert-manager
  • [ ] Configure custom domain
  • [ ] Set appropriate min/max scale values
  • [ ] Enable dead letter sink for Triggers
  • [ ] Configure monitoring (Prometheus metrics)
  • [ ] Set up proper RBAC

Troubleshooting

Common Issues

| Symptom | Cause | Solution | |---------|-------|----------| | Service not accessible | DNS not configured | Configure domain mapping or use sslip.io | | Pods not scaling up | Activator overloaded | Increase activator replicas | | Slow cold starts | Large image or slow init | Optimize image, use min-scale: "1" | | Events not delivered | Broker misconfigured | Check Broker/Trigger status | | 503 errors | Service scaling | Check activator logs, increase scale | | Certificate errors | cert-manager issue | Check ClusterIssuer and Certificate status |

Diagnostic Commands

# Check Knative Serving status
kubectl get ksvc -A
kubectl describe ksvc 

# Check revisions
kubectl get revisions -A
kubectl describe revision 

# Check routes
kubectl get routes -A

# Check Knative Eventing status
kubectl get brokers -A
kubectl get triggers -A
kubectl get sources -A

# Check event delivery
kubectl get subscriptions -A

# View activator logs
kubectl logs -n knative-serving -l app=activator -c activator

# View controller logs
kubectl logs -n knative-serving -l app=controller

# Check networking layer (Kourier)
kubectl logs -n kourier-system -l app=3scale-kourier-gateway

Debug Event Flow

# Deploy event-display service for debugging
kubectl apply -f - -` subdomain, even if the main route shows 0%. Don't assume tag=0 means "no traffic".

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [julianobarbosa](https://github.com/julianobarbosa)
- **Source:** [julianobarbosa/claude-code-skills](https://github.com/julianobarbosa/claude-code-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.