Chapter 1 — Database Selection
Purpose
[stub: database-selection]
Metadata
| Author | Amit Singh |
| Scope | system-design |
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Related notes
Chapter 4 — Data Lifecycle
Archival, tiered storage, TTLs, retention policy, and compression as the discipline that keeps storage cost from growing linearly with data volume forever.
Chapter 2 — Indexing
B+ trees, LSM trees, bloom filters, and secondary indexes, and why the write/read trade-off between them decides the storage engine underneath.
Chapter 3 — Storage Engines
How RocksDB, WiredTiger, InnoDB, and Cassandra's SSTables implement the indexing trade-offs above as production engines.
Chapter 4 — Alerting Systems
Multi-window burn-rate alerts, recording rules, routing, and deduplication as the difference between an actionable page and noise.