Fourteen days of drills on Docker and Kubernetes, built around one real application and one real cluster that stays up the whole way through.
This is a drill manual, not a narrative course. Every listing runs against a real Docker Engine and a real local Kubernetes cluster, and every printed output block is a paste from that run — including a real crash loop caused by a liveness probe set too eager, a real registry migration that broke on the very first try, and the real VM restarts that interrupted the work more than once. Each chapter states a rule in as few words as it can, shows the rule working in a short numbered example with its captured output, and hands it straight back as problems. Every example builds one application, hiretrack, a small job-application tracker that grows a real feature every day: a SQLite file, then Postgres and Redis behind Compose, then a full Kubernetes Deployment with probes, an init container, a CI/CD pipeline, and a real container registry.
The first week covers Docker: images and layers, a fast Dockerfile, multi-stage builds, volumes and bind mounts, container networking, a real Compose stack, and a systematic method for debugging a container that will not start. The second week moves the same application onto Kubernetes: Deployments, Services, ConfigMaps and Secrets, health probes and rolling updates, init containers and paused rollouts, kubectl-based debugging of planted failures, a real CI/CD pipeline against a real registry, and a closing chapter that runs the whole book back as a timed interview drill.
The measurements are reported as they came out. A one-line source edit that should touch nothing costs a full nine-second dependency reinstall, because of Dockerfile order, not bad luck. A liveness probe with too short a delay kills a perfectly healthy container, repeatedly, until the delay is fixed. A registry-based deploy fails on the very first attempt with a pull-policy conflict this book's own earlier chapters caused. A book that only printed the clean successes would be easier to write and worth less to work through.
Your 14-Day Path
Who It's For
Developers preparing for a DevOps or platform-engineering interview. Backend engineers whose team just adopted Kubernetes. Anyone who has run docker run a hundred times and still cannot explain what a Service actually routes to. No prior Kubernetes is assumed; comfort with a shell and a text editor is.
302 worked examples. 302 figures. 2,053 numbered problems. 350 pages. Measured with Docker Engine 29.6.1, kubectl v1.36.4, and a kind v0.33.0 cluster running Kubernetes v1.35.0.
You need Docker Desktop or an equivalent Docker Engine, and about an hour a day. Start Chapter 1.
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Fourteen days of drills on Docker and Kubernetes, built around one real application and one real cluster that stays up the whole way through. This is a drill manual, not a narrative course. Every listing runs against a real Docker Engine and a real local Kubernetes cluster, and every printed output block is a paste from that run -- including a real crash loop caused by a liveness probe set too eager, a real registry migration that broke on the very first try, and the real VM restarts that interrupted the work more than once. Each chapter states a rule in as few words as it can, shows the rule working in a short numbered example with its captured output, and hands it straight back as problems. Every example builds one application, hiretrack, a small job-application tracker that grows a real feature every day: a SQLite file, then Postgres and Redis behind Compose, then a full Kubernetes Deployment with probes, an init container, a CI/CD pipeline, and a real container registry. The first week covers Docker: images and layers, a fast Dockerfile, multi-stage builds, volumes and bind mounts, container networking, a real Compose stack, and a systematic method for debugging a container that will not start. The second week moves the same application onto Kubernetes: Deployments, Services, ConfigMaps and Secrets, health probes and rolling updates, init containers and paused rollouts, kubectl-based debugging of planted failures, a real CI/CD pipeline against a real registry, and a closing chapter that runs the whole book back as a timed interview drill. The measurements are reported as they came out. A one-line source edit that should touch nothing costs a full nine-second dependency reinstall, because of Dockerfile order, not bad luck. A liveness probe with too short a delay kills a perfectly healthy container, repeatedly, until the delay is fixed. A registry-based deploy fails on the very first attempt with a pull-policy conflict this book's own earlier chapters caused. A book that only printed the clean successes would be easier to write and worth less to work through. Your 14-Day Path 1. IMAGES, LAYERS AND THE CONTAINER2. WRITING A DOCKERFILE THAT BUILDS FAST3. MULTI-STAGE BUILDS AND SMALL IMAGES4. VOLUMES, BIND MOUNTS AND DATA5. CONTAINER NETWORKING6. COMPOSE FOR A REAL STACK7. DEBUGGING A CONTAINER THAT WON'T START8. IMAGE SECURITY AND SUPPLY CHAIN9. FROM COMPOSE TO KUBERNETES10. DEPLOYMENTS, SERVICES AND CONFIG11. HEALTH CHECKS, PROBES AND ROLLOUTS12. LOGS, METRICS AND kubectl DEBUGGING13. CI/CD: BUILD, PUSH, DEPLOY14. THE INTERVIEW Who It's For Developers preparing for a DevOps or platform-engineering interview. Backend engineers whose team just adopted Kubernetes. Anyone who has run docker run a hundred times and still cannot explain what a Service actually routes to. No prior Kubernetes is assumed; comfort with a shell and a text editor is. 302 worked examples. 302 figures. 2,053 numbered problems. 350 pages. Measured with Docker Engine 29.6.1, kubectl v1.36.4, and a kind v0.33.0 cluster running Kubernetes v1.35.0. You need Docker Desktop or an equivalent Docker Engine, and about an hour a day. Start Chapter 1. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798194836284
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Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Fourteen days of drills on Docker and Kubernetes, built around one real application and one real cluster that stays up the whole way through. This is a drill manual, not a narrative course. Every listing runs against a real Docker Engine and a real local Kubernetes cluster, and every printed output block is a paste from that run -- including a real crash loop caused by a liveness probe set too eager, a real registry migration that broke on the very first try, and the real VM restarts that interrupted the work more than once. Each chapter states a rule in as few words as it can, shows the rule working in a short numbered example with its captured output, and hands it straight back as problems. Every example builds one application, hiretrack, a small job-application tracker that grows a real feature every day: a SQLite file, then Postgres and Redis behind Compose, then a full Kubernetes Deployment with probes, an init container, a CI/CD pipeline, and a real container registry. The first week covers Docker: images and layers, a fast Dockerfile, multi-stage builds, volumes and bind mounts, container networking, a real Compose stack, and a systematic method for debugging a container that will not start. The second week moves the same application onto Kubernetes: Deployments, Services, ConfigMaps and Secrets, health probes and rolling updates, init containers and paused rollouts, kubectl-based debugging of planted failures, a real CI/CD pipeline against a real registry, and a closing chapter that runs the whole book back as a timed interview drill. The measurements are reported as they came out. A one-line source edit that should touch nothing costs a full nine-second dependency reinstall, because of Dockerfile order, not bad luck. A liveness probe with too short a delay kills a perfectly healthy container, repeatedly, until the delay is fixed. A registry-based deploy fails on the very first attempt with a pull-policy conflict this book's own earlier chapters caused. A book that only printed the clean successes would be easier to write and worth less to work through. Your 14-Day Path 1. IMAGES, LAYERS AND THE CONTAINER2. WRITING A DOCKERFILE THAT BUILDS FAST3. MULTI-STAGE BUILDS AND SMALL IMAGES4. VOLUMES, BIND MOUNTS AND DATA5. CONTAINER NETWORKING6. COMPOSE FOR A REAL STACK7. DEBUGGING A CONTAINER THAT WON'T START8. IMAGE SECURITY AND SUPPLY CHAIN9. FROM COMPOSE TO KUBERNETES10. DEPLOYMENTS, SERVICES AND CONFIG11. HEALTH CHECKS, PROBES AND ROLLOUTS12. LOGS, METRICS AND kubectl DEBUGGING13. CI/CD: BUILD, PUSH, DEPLOY14. THE INTERVIEW Who It's For Developers preparing for a DevOps or platform-engineering interview. Backend engineers whose team just adopted Kubernetes. Anyone who has run docker run a hundred times and still cannot explain what a Service actually routes to. No prior Kubernetes is assumed; comfort with a shell and a text editor is. 302 worked examples. 302 figures. 2,053 numbered problems. 350 pages. Measured with Docker Engine 29.6.1, kubectl v1.36.4, and a kind v0.33.0 cluster running Kubernetes v1.35.0. You need Docker Desktop or an equivalent Docker Engine, and about an hour a day. Start Chapter 1. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798194836284
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Taschenbuch. Condition: Neu. Neuware. Seller Inventory # 9798194836284