Event-Driven Architecture with Knative (Paperback)

Paperback. Ship resilient event driven microservices on Kubernetes with Knative, clear contracts, safe rollouts, and observability you can act on.Synchronous chains amplify latency and failures. Teams need a platform that scales on demand, routes events predictably, and survives retries without double effects. This book gives you a complete, practical system built on Knative Serving and Eventing, so services stay fast, routing stays transparent, and upgrades stop being risky.You will learn how to model CloudEvents, compose routes with Brokers, Triggers, Channels, Sequences, and Parallels, and run production traffic with delivery guarantees, security boundaries, and clear runbooks. Every concept is backed by manifests, CLI steps, and small working services.stand up knative serving and eventing, pick ingress classes kourier contour istio and switch safelydesign stable cloudevents with subject and type discipline, write cesql filters, reshape events with jsonata eventtransformset deliveryspec for retries backoff timeouts and dead letter sinks, build a dlq service for triage and replaytune kpa and hpa, set soft and hard concurrency, reduce cold starts with minscale image and startup tuningwire event sources apiserversource pingsource githubstyle webhooks and compose sinks with sinkbindingintegrate kafka and rabbitmq, choose broker versus channel, manage ordering consumer groups and hot partitionssecure transport and identity with tls gateway api cluster local routing oidc sender tokens and authorization policiesobserve with opentelemetry, prometheus metrics, jaeger or otlp traces across broker to subscriber, and consistent json logsuse kn and func for the inner loop, hot reload and local fixtures, choose dockerfiles buildpacks or ko for imagesbuild ci cd with tekton or github actions, sign images with cosign, promote with kustomize and argo cdoperate with ha controllers and webhooks, leader election pdbs topology spread, plus version aware upgrade and rollback plansapply production patterns idempotency and outbox sagas and compensation schema versioning and filter stability with cesqlThis is a code heavy guide, you get working YAML Bash Go Python JavaScript SQL Dockerfile and JSON examples that drop into real clusters and pipelines.Grab your copy today and run event driven systems that scale, stay observable, and keep shipping. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…