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 clusterschoose kourier or istio, configure mTLS, tls, domains, and safe https redirectsuse the service route revision model for percent splits, tags, blue green, and canarytune autoscaling with containerconcurrency targets panic and stable windowscontrol cold starts with initial scale min scale and pod retentiontrace request flow gateway to queue proxy to user container with opentelemetrywire observability with prometheus and grafana for concurrency latency and errorsbuild event pipelines with brokers triggers channels sequences and sinksset delivery policies retries backoff and dead letter sinks for resiliencerun kafka and rabbitmq brokers at scale with partitions ordering and throughputsecure services with cluster local visibility network policy and rbacenforce image signing and admission policy for a trustworthy supply chainoperate upgrades high availability and revision garbage collection with confidenceapply incident playbooks for tail latency spikes streaming timeouts cold starts and cost sizingThis 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.