Titlebook: Beginning Kubernetes on the Google Cloud Platform; A Guide to Automatin Ernesto Garbarino Book 2019 Ernesto Garbarino 2019 Kubernetes.GCP.G

CAMP

What Matters for ICT Diffusion?,This chapter shows how configuration can be externalized away from applications by storing it using?the ConfigMap or Secret controllers. Likewise, the Secrets controller capability of storing Docker Registry credentials and TLS certificates will also be examined.

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What Matters for ICT Diffusion?,This chapter looks at the case of running batch processes—different from steady web servers—using the Job controller. Kubernetes’ parallelization capabilities, which help reduce the total processing time of large, computational-expensive, multiple-item batch jobs are also given special attention.

外露

Salah Kabanda,Hussein Suleman,Stefan GrunerThis chapter describes the CronJob controller which can be instrumented to run Jobs in a recurrent manner, and that relies on the same syntax used by the cron daemon’s crontab file found in most Unix-like systems.

gospel

Douglas A. Parry,Daniel B. le RouxThis chapter explains how to deploy Pods that are locally available in every Node of a Kubernetes cluster so that consuming Pods can benefit from faster access time either through a local TCP connection or the local file system.

蝕刻術

PRE

Deployments and Scaling,This chapter helps the reader take Pods to the next level by introducing the Deployment controller which allows the on-demand scaling of Pods and seamless migrations—including blue/green deployments and rollbacks—when upgrading Pod versions. Also, the dynamics of autoscaling are demonstrated using the Horizontal Pod Autoscaler (HPA) controller.

Mettle

Service Discovery,This chapter teaches the reader how to make Pods available on the public Internet as well as within the Kubernetes cluster. In addition, this chapter explains how the Service controller interacts with the Deployment controller to facilitate zero-downtime deployments as well as graceful startup and shutdown of applications.

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Respond

Jobs,This chapter looks at the case of running batch processes—different from steady web servers—using the Job controller. Kubernetes’ parallelization capabilities, which help reduce the total processing time of large, computational-expensive, multiple-item batch jobs are also given special attention.

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