Monitoring has always been challenging, and the problem is magnified in a dynamic, ever-changing Kubernetes environment.
Often an afterthought, not set up until a problem occurs, monitoring can struggle to keep up and updates are seldom made as workloads change. Unfortunately when a team finally recognizes its need for application/system monitoring, it’s too
overwhelmed trying to keep infrastructure and applications “up” to have the capacity to look out for issues. This paper discusses monitoring challenges, outlines what needs to be monitored and how, and suggests tools that exist to help.
What you'll learn:
What to monitor
How to monitor cluster workloads
What tools you can use