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Storage, Then and Now

Talkat Scale By the Bay 2017 · 2017-11-16..11-18· [databases, scala]
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History of Twitter storage turns into two concrete recipes: a custom internal system called Manhattan built ~6 years ago to be a multi-tenant self-service database that becomes the canonical store for tweets DMs users and ads, optimized for worst-case predictable performance under faults; and FaunaDB, a JVM/Scala packaged transactional DB aimed at cloud SaaS customers with strong consistency, global replication and fine-grained QoS. Both reject Cassandra’s trade-offs; both run on physical clusters, not containers, and both prioritize predictable latency over peak throughput.

AI-written summary · about

  1. 0:00Introduction and welcome
  2. 1:12Early storage at Twitter
  3. 5:08Why not Cassandra
  4. 9:46Message buses and databases
  5. 14:07Managed database design
  6. 19:28Operational and performance challenges
  7. 25:28Open sourcing Manhattan
  8. 30:46Future challenges and closing
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