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SCALA BASED SERVICES RESILIENCE IN THE REAL WORLD

Talkat Scalar 2018 · 2018-04-06..04-07· [microservices, engineering-leadership]
slides:none on file

Ocado runs 100+ Scala microservices and enforces a 100ms SLA for price evaluation under tens of thousands of requests per second; resilience comes from concrete patterns (timeouts, retries, circuit breakers, speculative requests) and tooling choices: AWS Beanstalk, Zipkin + ELK for tracing/logs, New Relic for profiling, Akka/Monix/STTP for async IO. Retrying helps when behind load balancers but can storm upstream; circuit-breaker rest time must avoid stacked waits. Experimental speculative retries plus Monix TestScheduler prove effective for 99th‑percentile hiccups.

AI-written summary · about

  1. 0:00Start
  2. 4:36Foundations
  3. 8:59Shared support toolset
  4. 12:51Pricing services
  5. 16:20Successful retry
  6. 20:43Akka ask pattern
  7. 21:43Scala Future
  8. 22:33Monix timeout
  9. 24:29Circuit Breaker implementations
  10. 24:46Basic usage
  11. 25:46Circuit breaker configuration
  12. 27:17The fallback
  13. 29:46Blocking calls isolation
  14. 33:46Implementation hints
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