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

# Short recap of the chapter

We explored quite a few `Prometheus` metrics, expressions, and alerts. We saw how to connect `Prometheus` alerts with `Alertmanager` and, from there, to forward them from one application to another.

What we did so far is only the tip of the iceberg. It would take too much time (and space) to explore all the metrics and expressions we might use. Nevertheless, I believe that now you know some of the more useful ones and that you'll be able to extend them with those specific to you.

# Remove the previous resources

For now, I'll leave you to decide whether to move straight into the next chapter, to destroy the entire cluster, or only to remove the resources we installed. If you choose the latter, please use the commands that follow.

```shell
helm delete prometheus \
    --namespace metrics

helm delete go-demo-5 \
    --namespace go-demo-5

kubectl delete ns go-demo-5 metrics
```


In this lesson, we will revise and test the concepts we have learned in this third chapter through a small quiz.

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

Revise and Test the Concepts

Short recap of the chapter