Knative

Ship serverless applications on Kubernetes with predictable rollouts, clear autoscaling, and reliable event delivery.

Teams often stitch together Deployments, Ingress, HPAs, and scripts, then fight latency spikes and brittle rollouts. This book gives you one coherent model using Knative so you deploy faster, split traffic safely, and scale on real work signals.

You will use Serving for HTTP and gRPC workloads, Eventing for pipelines that span services and backends, and production settings that match how modern platforms run.

set up knative on kind or minikube, then promote to production on vanilla clusters
choose kourier or istio, configure mTLS, tls, domains, and safe https redirects
use the service route revision model for percent splits, tags, blue green, and canary
tune autoscaling with containerconcurrency targets panic and stable windows
control cold starts with initial scale min scale and pod retention
trace request flow gateway to queue proxy to user container with opentelemetry
wire observability with prometheus and grafana for concurrency latency and errors
build event pipelines with brokers triggers channels sequences and sinks
set delivery policies retries backoff and dead letter sinks for resilience
run kafka and rabbitmq brokers at scale with partitions ordering and throughput
secure services with cluster local visibility network policy and rbac
enforce image signing and admission policy for a trustworthy supply chain
operate upgrades high availability and revision garbage collection with confidence
apply incident playbooks for tail latency spikes streaming timeouts cold starts and cost sizing

This is a code heavy guide with working YAML Bash Go and JavaScript snippets that you can paste into a cluster to validate behavior and build real services.

Grab your copy today and run Knative with production outcomes.