Chapter 3 — Storage Engines
Purpose
[stub: storage-engines]
Metadata
| Author | Amit Singh |
| Scope | system-design |
Local graph
Linked from 2 notes
Database Management Systems
A book-shaped table of contents for DBMS: relational foundations through SQL mastery, storage internals, transactions, distributed databases, NoSQL, and MAANG interview prep — cross-linking existing system-design/patterns notes instead of duplicating them.
System Design
Principal/Staff-level system design reference collection for MAANG interview preparation — observability pipelines, distributed systems, reliability engineering, and beyond.
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 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 4 — Alerting Systems
Multi-window burn-rate alerts, recording rules, routing, and deduplication as the difference between an actionable page and noise.