Kubernetes resource allocation and performance tuning is not a walk in the park.

Most production clusters out there have accumulated a significant amount of lurking technical debt that the operators need to learn how to repay.

In this workshop we'll learn how to analyze and fine-tune your Kubernetes workloads and scheduling following a battle-tested strategy and an iterative approach.

In the process we'll discuss and get hands on with:
- Defining and allocating resources to our workloads
- Defining sane LimitRanges and ResourceQuotas
- Understanding VPA recommendations
- Balancing resource cost with resilience
- Defining scaling factors
- Looking at additional recommendation and performance tuning techniques.