Hands-On Kubernetes, Service Mesh and Zero-Trust Build and manage secure applications using Kubernetes and Istio (Swapnil Dubey, Mandar J. Kulkarni) (Z-Library)

【One-Line Pitch】 A practical field guide for engineers and architects who need to run containerized workloads on Kubernetes and then harden them with a zero-trust mindset and an Istio service mesh. If you already know the basics of containers and want a single path from cluster fundamentals to secure, observable, production-grade microservices, this is aimed at you. 【Book Arc】 - **Opening (~0%–11%)**: Frames the whole problem — building and operating secure distributed applications — and sets the book's promise: run Kubernetes clusters directly or via managed offerings, use API gateways in production, and adopt Istio. This stage orients you before any hands-on work. - **Early (~11%–28%)**: Grounds you in Docker and Kubernetes 101 — writing and pushing images, packaging an existing application, spotting practices that create security vulnerabilities, then Kubernetes architecture, immutability, declarative configuration, and self-healing. Solves the "what am I actually running?" gap. - **Early–Middle (~28%–44%)**: Moves into core Kubernetes objects and operational constructs: Pods and their lifecycle with health checks and resource/storage needs, Ingress and HTTP load balancing (including open-source API gateways like Gloo, Tyk, and Kong), workload resources (Deployments, ReplicaSets, Jobs, DaemonSets), ConfigMaps, Secrets, Labels/Annotations, and storage with Volumes, PersistentVolumes, StatefulSets, and a MongoDB example. Solves "how do I deploy and configure real workloads?" - **Middle (~44%–56%)**: Turns to cross-cutting production concerns: service discovery patterns, zero-trust modeling using the building blocks already introduced, monitoring/logging/observability with SRE concepts, and effective scaling (horizontal, vertical, custom-metric, and combined-metric autoscaling) demonstrated on a running microservice application. - **Late (~56%–end)**: Deep-dives into service mesh with Istio — what a mesh is and why/when to use one, Istio architecture and installation, traffic management via VirtualService/DestinationRule/ServiceEntry for canary and blue-green deployments, circuit breaking, timeouts, retries, and fault injection, then observability with Kiali, Grafana, Prometheus, and Jaeger, and finally securing services through identity, certificate management, peer and end-user authentication, and authorization. - **Ending**: Closes by assembling the pieces into an Istio security architecture, tying zero-trust principles back to the concrete Kubernetes and mesh mechanisms covered earlier. 【Key Takeaways】 - **The book is organized as a progression, not a reference dump** (Opening): Docker/Kubernetes basics → core objects → production concerns → service mesh, so reading in order pays off more than jumping around. - **Zero trust is a thread, not a single chapter** (Middle): security appears early in image practices, Pod security standards, and network configuration, then is consolidated in a dedicated zero-trust chapter and revisited in Istio's mutual TLS and authorization model. - **Workload choice matters** (Early–Middle): Deployments, ReplicaSets, Jobs, and DaemonSets each have a lifecycle and a fitting use case; the book stresses picking the right one for scalable applications rather than defaulting to one. - **Storage and state are treated seriously** (Middle): Volumes, PersistentVolumes, StatefulSets, disaster recovery, and the Container Storage Interface are covered with a MongoDB installation as the practical anchor. - **Observability spans both layers** (Middle–Late): Kubernetes-native logging/monitoring and SRE concepts are extended by Istio-side tools (Kiali, Grafana, Prometheus, Jaeger), including distributed tracing to debug latency. - **Traffic management belongs in declarative YAML, not service code** (Late): Istio custom resources move canary, blue-green, retries, timeouts, circuit breaking, and fault injection out of application logic. - **Scaling is multi-dimensional** (Middle): the book demonstrates horizontal, vertical, custom-metric, and combined-metric autoscaling across three microservices, showing that autoscaling is a design decision, not a checkbox. - **A running sample application ties the hands-on work together** (Middle–Late): the same microservices are reused across scaling, traffic management, observability, and security chapters, which makes the later material concrete. 【Reading Tips】 - **Skim the front matter aggressively.** Author bios, acknowledgements, and publisher pages occupy a meaningful share of the early excerpts; start real reading at the Docker/Kubernetes 101 chapter. - **Deep-read the middle chapters on Pods, workload resources, storage, and zero trust.** These are the load-bearing concepts that the Istio chapters assume you already understand. - **Treat the Istio section as the payoff, but don't skip the prerequisites.** Traffic management and security chapters lean on Kubernetes custom resources and service discovery, so revisit those if the YAML feels opaque. - **Follow the sample application end to end.** Because the same microservices recur, tracking them across scaling, observability, and security chapters is the fastest way to see how the pieces interlock. - **Use the hands-on exercises as the real test.** The book's value is operational; if you only read the prose, you'll miss the configuration and troubleshooting judgment it's trying to build. 【Coverage Limits】 This guide is synthesized from stratified excerpts that include the preface, table of contents, and front matter; the excerpts do not cover the full body text of later chapters, so specific code listings, command outputs, and detailed Istio configuration examples are not reflected here.