In this chapter, we reviewed jobs and CronJobs, which Kubernetes provides to support batch and scheduled batch processing, respectively. We also looked through a Python example of how to set up a Celery worker queue with RabbitMQ and configure the two deployments to work together. We then looked at how Kubernetes can provide persistence with volumes, PersistentVolume, and its concept of PersistentVolumeClaims for automatically creating volumes for deployments as needed. Kubernetes also supports Stateful Sets for a variation of deployment that requires stable identity and persistent volumes, and we looked at a simple Node.js example converting our previous example of a deployment into a Stateful Set. We finished the chapter with a look at Custom Resource Definitions, used to extend Kubernetes.
In the next chapter, we start to look at how to leverage Kubernetes to get information about all these structures. We review how to capture and view metrics, leveraging Kubernetes and additional...
