Prototyping Python Microservices in Production
Many of us have heard buzzwords like microservice but might not yet have had the time to dig deeper. This talk will:
- introduce general concepts around microservices
- describe and demonstrate thrift. One of the many RPC interfaces python has available
- step through building a sample thrift service
- discuss discoverability, reliability and capacity of the sample service and then introduce consul as a potential solution
- provide an intro to time series data stores such as berengei and prometheus
- quickly touch on measuring microservice latency
- demonstrate one popular method for visualizing and alerting on time series data
- introduce general concepts around microservices
- describe and demonstrate thrift. One of the many RPC interfaces python has available
- step through building a sample thrift service
- discuss discoverability, reliability and capacity of the sample service and then introduce consul as a potential solution
- provide an intro to time series data stores such as berengei and prometheus
- quickly touch on measuring microservice latency
- demonstrate one popular method for visualizing and alerting on time series data
Presented by
Justin Akers
Justin is a Production Engineer at Facebook in California. Prior to that he worked as a software engineer at several companies in Brisbane, Australia.
