Real-world scaling with Scala & Akka
summary
Zeebox scales by real choices not platitudes: it absorbs thousands of concurrent sign-ins using an Akka cluster fronting REST JSON, persists user state in Cassandra, and runs JVM profiling and load‑testing to tune hotspots. Hundreds of EC2 nodes exchange JSON across hundreds of EC2 nodes and autoscale; Scala DSLs produce immutable Google Analytics query specs so pipelines avoid boilerplate. Result: rapid feature iteration, on‑the‑ground resiliency, and a codebase that supports ~50 developers working productively.
AI-written summary · about
chapters (5)
- 0:00Start
- 4:42Electronic Program Guide
- 6:58Content Delivery Network
- 10:51Futures
- 19:02Dimensions and Metrics
related talks
41mBuilding and running applications at scale in
30mThe Future of Scala Performance on Big Data
37mReactive Architecture on AWS: from 0 to 1.6M events/minute
26mIP Clusters - Scaling Zopim's Frontend Node Servers
18mReal-time adaptive controls for resilient container workloads
47mScaling: from 0 to 25 million users
31mA RAILS PERFORMANCE GUIDEBOOK
42mHow Netflix Built a Real-Time Distributed Graph for Internet Scale
