Future of EDA Panel
summary
Panel covers how AWS services actually build EDA: EventBridge for routing and archive & replay of real traffic, Step Functions (standard vs express, distributed map parallelism and wait for callback for human approval), SQS/SNS with dead‑letter queues and a recent FIFO throughput bump to ~18,000 TPS, plus EKS autoscaling with Karpenter and KEDA. Shows retail/finance/healthcare/gaming use cases, cost/performance tradeoffs versus Glue/Spark, GenAI fits via async pipelines, and pragmatic advice on schema design and observability.
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chapters (10)
- 0:00Intro
- 3:06Industries EDA is growing in
- 5:36How to sell EDA to devs?
- 10:18When not to use EDA?
- 14:56How are customers using your service to build EDA?
- 21:51What are some top feature requests related to EDA?
- 25:30How does EDA fit into GenAI workloads?
- 28:32What helps customers adopt EDA?
- 35:15Hidden gems in AWS services
- 39:26Outro
