Implement Raft Consensus for a Self-Hosted Feature-Flag Service
Overview
What this challenge is about.
Implement core Raft consensus with an embedded key-value store, run chaos tests, and deliver an ADR and report. Earn a verifiable certificate.
The scenario
The scaleup (around EUR 28M ARR, 6 of their top-10 customers are tier-1 banks) loses every deal that requires on-prem because their current offering depends on a cloud-only datastore.
The Brief
What you'll do, and what you'll demonstrate.
Build a Raft-replicated configuration service for self-hosted deployment that survives leader failures within 5 seconds and serves the existing SDK contract.
Earning criteria — what you'll demonstrate
- Implement the core Raft algorithm from a primary research paper
- Reason about log compaction and snapshotting under real disk constraints
- Validate consensus correctness with chaos tests, not just unit tests
- Document an architecture trade-off in a form senior engineers will trust
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Raft Consensus
Apply raft consensus to solve real industry problems and demonstrate production-level capability.
- Go Programming
Apply go programming to solve real industry problems and demonstrate production-level capability.
- Grpc
Apply grpc to solve real industry problems and demonstrate production-level capability.
- Fault Tolerance
Apply fault tolerance to solve real industry problems and demonstrate production-level capability.
- Snapshotting
Apply snapshotting to solve real industry problems and demonstrate production-level capability.
- Chaos Testing
Apply chaos testing to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles: