Module Review: Reliability
[!NOTE] This module explores the core principles of Module Review: Reliability, deriving solutions from first principles and hardware constraints to build world-class, production-ready expertise.
1. Key Takeaways
- Replication & ISR: Durability comes from redundancy. Only In-Sync Replicas (ISR) are eligible to become leaders.
- Leader Election: The Controller manages failover. Leader Epochs prevent “Split Brain” scenarios where two brokers think they are the leader.
- Idempotence: Prevents duplicates during retries using PID and Sequence Numbers. Enabled by default in modern Kafka.
- Transactions: Enables Atomic Writes across multiple partitions. Consumers must use
isolation.level=read_committed. - Quotas: Protects the cluster from “Noisy Neighbors” by throttling bandwidth and request rates.
2. Interactive Flashcards
Test your knowledge by clicking on the cards to flip them.
3. Reliability Cheat Sheet
| Feature | Config Setting | Benefit | Trade-off |
|---|---|---|---|
| Max Durability | acks=all, min.insync.replicas=2, replication.factor=3 |
Zero data loss guaranteed. | Higher latency on produce. |
| Idempotence | enable.idempotence=true |
Exactly-one write per partition. No duplicates. | Slightly more metadata overhead. |
| Transactions | transactional.id=..., isolation.level=read_committed |
Atomic writes across partitions. | Higher latency (waiting for markers). |
| Quotas | producer_byte_rate=... |
Protects cluster health. | Clients get throttled (slowed down). |
4. Next Steps
You’ve mastered the internal mechanics of Kafka’s reliability. Now it’s time to connect Kafka to the outside world.