ISTIO SERVICE MESH IN PRODUCTION: MULTI-CLUSTER, OBSERVABILITY, AND RESILIENCE: Deploy, monitor, and scale service mesh across Kubernetes clusters with traffic management and distributed tracing - Softcover

DRAYCOTT, SOFIA

 
9798273127197: ISTIO SERVICE MESH IN PRODUCTION: MULTI-CLUSTER, OBSERVABILITY, AND RESILIENCE: Deploy, monitor, and scale service mesh across Kubernetes clusters with traffic management and distributed tracing

Synopsis

Run a reliable Istio service mesh in production with clear configs, tested patterns, and upgrades that do not surprise you.

Operating a mesh at scale is about safe defaults, steady upgrades, and policy you can explain during an incident. This book shows how to select sidecars or ambient per namespace, set timeouts and retry budgets that hold under failure, and keep telemetry affordable while preserving the signals you need.

You get a complete path from install to day two: high availability control planes, clean CNI setup, routes that fail fast, and rollouts that pivot on revisions and tags. Multi cluster topologies, identity, and gateway choices are covered with the same production focus.

  • Choose sidecars or ambient for each namespace, add waypoints where L7 policy is required
  • Install with production profiles, enable CNI cleanly, and size control plane resources
  • Set timeouts, retries, and retry budgets with Gateway API for HTTP and gRPC
  • Apply circuit breaking and outlier detection with locality aware failover
  • Use Telemetry API for lean metrics, JSON access logs at gateways, and W3C trace headers
  • Enforce mesh wide mTLS, set trust domains, validate JWTs, and integrate external auth
  • Integrate external CAs with cert manager or SPIRE, plan safe rotation and recovery
  • Operate multi cluster with east and west gateways, remote secrets, and drift checks
  • Run ingress and egress with Gateway and HTTPRoute, TLS and mutual TLS origination
  • Prepare runbooks for brownouts, header bloat, memory growth, and remote secret issues
  • Migrate with mixed ambient and sidecars, manage versions with revisions, tags, and node waves
  • Address cloud specifics for AKS, GKE, and OpenShift without breaking standards

This is a code heavy guide with working YAML, Shell, JSON, HCL, and Gateway API examples that you can copy into a repository and adapt for real clusters.

Grab your copy today and ship a mesh your team can operate with confidence.

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