Chapter 2 — Indexing
Purpose
[stub: indexing]
Metadata
| Author | Amit Singh |
| Scope | system-design |
Local graph
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 1 — Database Selection
A decision framework for SQL vs. NoSQL vs. time-series vs. graph vs. vector vs. object storage, driven by access pattern rather than familiarity.
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.