In this chapter, we have discussed how our Kubernetes cluster is secured and how to secure the default configuration for each of the serverless tools we have looked at in the previous chapters. We have looked at three ways we can get real-time stats from our Kubernetes clusters using the Kubernetes dashboard and also looked at the monitoring tools provided by Google Cloud and Microsoft Azure for storing and querying metrics from your clusters.
In the next chapter, which is also the final chapter, we are going to be taking a look at how to best run your serverless workloads on Kubernetes, based on everything we have learnt in the previous chapters.
