Classification Implementation

What

Create a broker state classification based on collected observations. The broker classification is a state machine implementation which consistently classifies a broker into a state.

Why

Repeatable, Predictable Rolling

• The set of broker states form a state machine which reflects the available states and possible transitions.
• The roller would be responsible of continuously collecting observations, classifying the broker state, and reconciling brokers in unhealthy states via the defined state machine transitions. 

How

The KR2 prototype introduced a classification implementation.

• Validate the prototype and interfaces and suggest any improvements
• Work your way to a full implementation that's validated with multiple test cases and needed mocks