Challenges in Implementing Microservices
summary
Argues microservices succeed only with concrete choices: use Kafka (claimed 250,000 messages/sec capacity) and zmq for event rivers, prefer asynchronous event-driven patterns for AB testing and resilience, split monolith databases into many small stores (example team runs 300 microservices), mix languages where appropriate (Ruby/Node/Clojure/Java/Elixir), and instrument KPIs for live testing. Gives a business outcome: a hotel offer engine built for $3M build -> $40M revenue in six months, showing deployment speed and measurable return.
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chapters (6)
- 0:00Start
- 7:31Synchronous or Asynchronous
- 24:48Deconstructing the Databases
- 28:48MicroServices or Clojure
- 33:15elixir
- 33:39Challenge Shitectures and Frameworks
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