Don't let your kubernetes cluster go wild: Ensuring etcd reliability
Fair warning: This talk was very technical and pretty interesing - but don’t even try to understand it if you’re tired (or if it’s the thrid to last session on the last day of a long conference).
Baseline
- Standard example: Write and read KV-Data,
put(A,2) -> Get (A)
- Problem: Concurrency
TODO: Steal image from intuition of correctness
Correctness
- Correctness: Kinda funky when it comes to time
- Fix: Define serialization that executes parallel request one after another to bring them in an order
Failures
- What happens is connections between etcd nodes go down -> Serving stale data
- What happens if data corrupts -> If enough members are online, it can repair itself
- And many more that can happen at random times -> Hard to test
TODO: Steal “in a concurrent world”
Robustness framework
- Automates tests for failures
- Includes reliable reproductions of past (seamingly random) errors
- Currently a mixture of existing go debugging tools
Future
- Reproduce more bugs consistently
- Run additional consistency checks