Scaling in Space and Time with Temporal
summary
Describes using Temporal.io to keep real-time reporting systems current under nonlinear, spiky load. Covers applying Temporal for both short-lived pipelines and long-running background tasks as part of an Event Sourcing/Event Streaming architecture to maintain real-time analytics.
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chapters (14)
- 0:00Temporal IO intro
- 3:39Business problem & solution
- 5:47Old service issues
- 10:52Temporal in practice
- 13:00Workflow IDs & signals
- 16:56Cluster tuning
- 21:10Activity merging & storage
- 25:48Cassandra issues & fixes
- 26:10Long workflows & timers
- 28:20Migrations & cron jobs
- 30:48Future optimizations
- 31:53Temporal benefits
- 33:56Temporal drawbacks
- 36:27Q&A
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