Platform · 2009–now · Cloud Scale

Redis

Fast structures in memory with persistence options. Cache, queue, session store — pick your footgun.

Why Redis stuck

Redis stuck because microseconds matter and most apps have hot keys worth isolating. Misused as primary storage it hurts; used as a specialized layer it prints money. Simple protocol, sharp edges, permanent niche.

cache in-memory data

Case studies

Twitter outgrows pure Rails — without declaring Rails dead — Years of JVM/Scala investment alongside Ruby; Fail Whale era ops pain, not a total rewrite bill
Startup rebuilds on NoSQL, rediscovers joins — 18-month rebuild; doubled headcount for data consistency work

2010–2016

Cloud Scale

Part of the Cloud Scale era (2010–2016).

Read the Cloud Scale era →

Compare with

vs SQL / Relational vs Apache Kafka vs MongoDB vs Unix / POSIX

Platform · 1974–now

SQL / Relational

Stuck

Declarative data that outlived every ORM fashion cycle. Postgres and friends keep winning by being boring.

Platform · 2011–now

Apache Kafka

Stuck

Durable log as nervous system. Event-driven architecture with real operational teeth.

Platform · 2009–now

MongoDB

Mutated

Document DB that became a punchline, then a grown-up product. Survived by getting serious about transactions and ops.

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