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

There's not much left to say about `Cluster Autoscaler`.

We finished exploring fundamental ways to auto-scale Pods and nodes. Soon we'll dive into more complicated subjects and explore things that are not "baked" into a Kubernetes cluster. We'll go beyond the core project and introduce a few new tools and processes.

## Remove the previous resources

This is the moment when you should destroy your cluster if you're not planning to move into the next chapter right away and if your cluster is disposable (e.g., not on bare-metal). Otherwise, please delete the `go-demo-5` Namespace to remove the resources we created in this chapter.

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

# Short recap of the chapter

There's not much left to say about `Cluster Autoscaler`.

We finished exploring fundamental ways to auto-scale Pods and nodes. Soon we'll dive into more complicated subjects and explore things that are not "baked" into a Kubernetes cluster. We'll go beyond the core project and introduce a few new tools and processes.

# Remove the previous resources

This is the moment when you should destroy your cluster if you're not planning to move into the next chapter right away and if your cluster is disposable (e.g., not on bare-metal). Otherwise, please delete the `go-demo-5` Namespace to remove the resources we created in this chapter.

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

In this lesson, we will revise and test the concepts we have learned in this second 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 #