Delve into advanced Kubernetes features like monitoring, alerting, logging, and auto-scaling. Gain insights into creating resilient, self-adaptive clusters and applications with minimal manual intervention.

The world of DevOps has exploded with the help of technologies like Kubernetes and Docker.  
In this course, you will learn about more advanced Kubernetes features such as monitoring, alerting, logging, and scaling - crucial concepts for any DevOps professional. You will learn how to monitor clusters, how to send alerts when potential issues arise, and how to query the whole system’s metrics and logs. 
By the end of this course, you will have the required knowledge to make your clusters and applications truly dynamic and resilient, so that they require minimal manual involvement and are self-adaptive.

Advanced Kubernetes Techniques: Monitoring, Logging, Auto-Scaling

# Pulling the code

The [vfarcic/k8s-specs](https://github.com/vfarcic/k8s-specs) repository will continue being our source of Kubernetes definitions we'll use for our examples. We'll make sure that it is up-to-date by pulling the latest version.

> 🔍 All the commands from this chapter are available in the <a href="https://gist.github.com/30da210bd55f16673af6fddaa3f5e4aa">04-instrument.sh</a> Gist. Just as in the previous chapter, it contains not only the commands but also <code>Prometheus' expressions </code>. If you're planning to copy&paste the expressions from the Gist, please exclude the comments. Each expression has a <code># Prometheus expression</code> comment on top to help you identify it.

```shell
cd k8s-specs

git pull
```

Given that we learned how to install a fully operational `Prometheus` and the rest of the tools from its Chart, and that we'll continue using them, I moved it to the **Gists**. Those that follow are copies of those we used in the previous chapter, with the addition of environment variables **PROM_ADDR** and **AM_ADDR**s and the steps for the installation of the **Prometheus Chart**. Please create a cluster that meets (or exceeds) the requirements specified in the **Gists** that follow, unless you already have a cluster that satisfies them.


This lesson focuses on creating a cluster and the necessary requirements and gists for this chapter.

Before Getting Started

Autoscaling Deployments and StatefulSets

Auto-Scaling Nodes Of A Kubernetes Cluster

Collecting and Querying Metrics and Sending Alerts

Debugging Issues Discovered Through Metrics and Alerts

Extending HorizontalPodAutoscaler With Custom Metrics

Visualizing Metrics And Alerts

Collecting And Querying Logs

Conclusion

Create a Cluster

Pulling the code #