Introduction
1. Introduction
Google Kubernetes Engine, or GKE, uses containerized applications–which are packaged units with all dependencies included–for efficient deployment and management. In both GKE and Kubernetes, containers are called workloads. The concept of workloads in GKE streamlines the management of both applications and batch jobs. This becomes even more efficient with the help of Kubernetes' declarative approach. Because Kubernetes is declarative, you define your cluster's desired state, and GKE's orchestration engine will then automatically manage the cluster to match that state. So, in the first section of this course titled, “Workloads: Deployments and Jobs,” you’ll learn to define what a Deployment is, and identify methods to create and use them; configure, manage and update Deployments; define Jobs and CronJobs in GKE and explore relevant use cases; create and run Jobs; scale clusters manually and automatically; and configure node and Pod affinity.2. Let's practice!
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