
Knative
Kubernetes-based scale-to-zero compute
The Lens
Knative Serving brings serverless, scale-to-zero workloads to Kubernetes. Instead of paying for idle pods, your services sleep and wake up on demand. Like AWS Lambda but on your own infrastructure.
Apache 2.0. CNCF incubating project. Knative handles request-based autoscaling (including scale-to-zero), traffic splitting for canary deployments, automatic TLS, and revision management. You deploy a service, and Knative manages the lifecycle.
Fully free. No paid tier from the project. Google Cloud Run is built on Knative if you want managed.
The catch: Knative adds significant complexity to your cluster. It requires a networking layer (Istio, Kourier, or Contour), and the cold start latency when scaling from zero can be seconds, not milliseconds. If your services need instant response times, scale-to-zero defeats the purpose. And the resource overhead of Knative's own components (controller, activator, autoscaler, networking) means it only makes sense if you're running enough services that the savings from scale-to-zero outweigh the platform cost.
Free vs Self-Hosted vs Paid
fully freeFully open source under Apache 2.0. No paid tier. CNCF incubating project.
Managed Alternatives Built on Knative
- Google Cloud Run: Free tier (2M requests/month, 360K GB-seconds), then $0.00002400/vCPU-second
- IBM Code Engine: Free tier available, pay per use after
Self-Hosted Costs
Knative components consume ~500MB-1GB RAM in your cluster. The real cost is the networking layer: Istio adds another ~1-2GB. Kourier is lighter (~100MB) but less feature-rich. On a 3-node cluster, Knative's overhead is ~10-15% of resources.
The Math
If you run 20 services that are idle 80% of the time, scale-to-zero saves ~80% of their compute cost. On 20 services at 512MB each, that's 8GB RAM saved. At ~$0.05/GB/hr on cloud VMs, that's $290/mo savings. Minus Knative's own overhead ($50/mo equivalent), net savings ~$240/mo.
Free. Self-host on Kubernetes. Google Cloud Run is the managed alternative if you don't want the complexity.
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