Chris Phelps Interview
summary
Platform teams at Tendril wrestle with analytics at scale by balancing heavy batch jobs that spike load against live, low-latency user queries, and describe concrete tradeoffs in resource isolation and scheduling to keep both working. The stack emphasizes microservices and reactive approaches and uses Scala for 4 years to build small, composable components so failures are diagnosable in isolation. Practical tips focus on service boundaries, resource throttling, and assembling pieces that actually simplify debugging.
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