Beginning Kubernetes on the Google Cloud Platform

TRAMA

Use this beginner’s guide to understand and work with Kubernetes on the Google Cloud Platform and go from single monolithic Pods (the smallest unit deployed and managed by Kubernetes) all the way up to distributed, fault-tolerant stateful backing stores.You need only a familiarity with Linux, Bash, and Python to successfully use this book. Proficiency in Docker or cloud technology is not required. You will follow a learn-by-doing approach, running small experiments and observing the effects.Google open sourced Kubernetes in 2015 and now it is the industry standard in container orchestration. It has been adopted by all leading vendors of cloud, on-prem, and hybrid infrastructure services: Microsoft (Azure AKS), Amazon (AWS EKS), IBM (IBM Cloud Kubernetes Services), Alibaba Cloud (ACK), RedHat (OpenShift), and Pivotal (PKS). Even though Kubernetes is offered by all of the market-leading cloud providers, the Google Cloud Platform (GCP) offers an integrated shell (Google Cloud Shell) and a $300 credit to get started, which makes it the ideal platform to not only learn Kubernetes but also to implement final production workloads. What You Will Learn Set up a Kubernetes cluster in GCPDeploy simple Docker images using monolithic PodsArrange highly available and highly scalable applications using DeploymentsAchieve zero-downtime deployments using the Service controllerExternalize configuration using ConfigMaps and SecretsSet up batch processes and recurrent tasks using Jobs and CronJobsInstall horizontal (sidecar pattern) services using DaemonSetsImplement distributed, stateful backing stores using StatefulSets Who This Book Is For Beginners with basic Linux admin and scripting skills (Bash and Python). Proficiency with Docker is not required as all examples in the book use off-the-shelf public images from Docker Hub.

SOMMARIO

Chapter 1: IntroductionSetting Up a Cluster Listing Clusters Deleting a Cluster Getting Login Credentials Installing Kubectl Checking Kubectl Version Using GCE Credentials Clusters and Nodes Nodes Nodes’ Resource Consumption Hello World Application   Chapter 2: Pods The Fastest Way to Launch a Pod Launching a Single Pod Launching a Sigle Pod to Run a Command Running a Pod Interactively Interacting with an Existing Pod Retrieving and Following Pod’s Logs Interacting with a Pod’s TCP Port Transferring Files From and To a Pod Selecting a Pod’s Container Troubleshooting Pods Pod Manifests Declaring Containers’ Network Ports Setting Up the Container’s Environment Overwriting The Container’s Command Managing Containers’ CPU and RAM Requirements Pod Volumes and Volume Mounts External Volumes and Google Cloud Storage Pod Health and Lifecycle Namespaces Labels Annotations   Chapter 3: Deployments and Scaling ReplicaSets Our First Deployment More on Listing Deployments Deployments Manifests Monitoring and Controlling a Deployment Finding Out a Deployment’s ReplicaSets Finding Out a ReplicaSet’s Pods Deleting Deployments Revision-Tracking vs Scaling-Only Deployments Recreate Deployments Rolling Update Deployments The Pros and Cons of a Higher MaxSurge Value The Pros and Cons of a High MaxUnavailable Value Blue/Green Deployments Summary of MaxSurge and MaxUnavailability Settings Controlled Deployments Rollout History Rolling Back Deployments The Horizontal Pod Autoscaler Setting Up Autoscaling Observing Autoscaling in Action Scaling the Kubernetes Cluster Itself   Chapter 4: Service Discovery Introduction The Service Controller Finding Pods’ IP Addresses Accessing a Pod From Within Another Pod Accessing Pod(s) From Within a LAN Accessing Pod’s From The Internet Listing All Running Services Deleting a Service Accessing Services in Different Namespaces Exposing Services on a Different Port Waiting for a Public IP Address To Be Assigned Canary Releases Canary Releases and Inconsistent Versions Exposing Multiple Ports Graceful Startup and Shutdown Zero-Downtime Deployments Pods’ Endpoints Listing and Deleting Services   Chapter 5: ConfigMap and Secrets Storing Configuration Properties in Kubernetes Getting New Configuration Automatically Picking Selected Properties From a ConfigMap Passing ConfigMap’s values to a Pod’s Startup Arguments? Updating a ConfigMap Loading ConfigMap’s Properties From a File Storing Large Text in a ConfigMap Retrieving a Large File Stored in a ConfigMap Live ConfigMap Updates Storing Binary Data Secrets Difference Between ConfigMap and Secret Objects Reading Properties From Secrets Docker Registry Credentials TLS Public Key Pair Listing and Deleting ConfigMap and Secret Objects   Chapter 6: Jobs One-off Process Multiple Independent Processes Multiple Coordinated Processes Advanced Batch Scaling and Control Waiting until a job completes Timing out stuck jobs Other Restart Policies Managing and Deleted Jobs Wrap-Up   Chapter 7: CronJobs The Simplest Possible CronJob Setting Up Recurring Tasks Setting Up One-Off Tasks Jobs History Interacting with CronJob’s Jobs and Pods Suspending a CronJob Job Concurrency Catching Up With Missed Sheduled Events Management (Listing, Deleting and Suspending)   Chapter 8: DaemonSets TCP-based Daemons File System-based Daemons Daemons that Run on Specific Nodes Only Update Strategy General Administration Wrap Up   Chapter 9: StatefulSets The Dumbest Key/Value Store In The World Minimal StatefulSet Manifest Sequential Pod Creation Stable Network Identity Headless Service A Smart Client For a Dumb Key/Value Store Controlling The Creation and Termination of a Backing Store Order of Pod Life Cycle Events Implementing Graceful Shutdown using Pod Life Cycle Hooks Observing StatefulSet Failures Scaling Up and Down Scaling Down Scaling Up Conclusions on Scaling Up and Down Operations Proper Statefulness: Persistence to Disk Persistent Volume Claims Wrap Up

AUTORE

Ernesto Garbarino is a consultant specialized in the Digital, Cloud, and DevOps domains. His 20 year experience ranges from working with early start-ups and entrepreneurial organizations during the dot com era to senior consultancy work in blue chip industries including telecoms, logistics, and banking. 

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781484254905
• Dimensioni: 235 x 155 mm Ø 516 gr
• Formato: Brossura
• Illustration Notes: XI, 324 p. 4 illus.
• Pagine Arabe: 324
• Pagine Romane: xi