Distributed Systems Mechanics & Reliability
The core mechanics of distributed computing: Raft consensus, physical clock drift vs TrueTime, distributed locks with fencing tokens, Saga transactions, idempotency, and multi-region disaster recovery.
High-Level Design Track
Build on the shared foundation with distributed-systems mechanics and worked architecture case studies. Available lessons open now; the remaining case studies stay visible on each roadmap.
16 of 22 track lessons available
The core mechanics of distributed computing: Raft consensus, physical clock drift vs TrueTime, distributed locks with fencing tokens, Saga transactions, idempotency, and multi-region disaster recovery.
End-to-end planetary-scale architectural case studies derived from first principles with back-of-the-envelope capacity estimation, data schemas, API contracts, and failure mitigations.
Use the current interview playbook to practise scope, capacity estimates, architecture, deep dives, and failure analysis while the dedicated lesson sequence is completed.
Open the HLD interview playbook