Real Systems
These examples focus on Raft-specific operational questions, not generic project summaries.
Importance
The older homepage included this context near the top to prove Raft's importance. It now belongs on the Systems page, with direct official links beside each project so readers can verify that the system uses Raft or relies on a Raft-backed component.
Verified Examples
Each card links to an official project page, official documentation page, or project-maintained implementation note.
Why does quorum loss threaten coordination?
Because safe metadata writes require a stable Raft leader and majority.
Why do Consul servers use odd counts?
Odd voter counts maximize failure tolerance and avoid unnecessary even-sized quorum overhead.
What happens when server quorum is unstable?
Scheduling state cannot be committed reliably, so cluster control-plane progress suffers.
What does Raft add to SQLite?
A leader-based replicated write path with majority-backed commit.
Why do tablet leaders matter?
Every tablet has its own Raft leader, so leader distribution controls write hotspots.
Why many leaders?
Data ranges are replicated independently, so many Raft leaders provide horizontal scale.
What is the Raft lesson?
Distributed graph systems need group health and leadership awareness, not just node health.
Why Regions and peers?
Each Region is a Raft group, so peers and leader placement explain write behavior.
Why manager quorum?
Managers maintain authoritative cluster state through Raft.
How does etcd become a Kubernetes issue?
etcd quorum or leader churn directly affects the API server's backing store.
Why per-channel Raft?
Separate Raft instances let each channel order blocks without one global ordering leader.
Why Rust for Raft?
Consensus code sits on the write path, so memory safety and performance both matter.