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4 years building services at peerTransfer
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Felipe Talavera
October 17, 2014
Programming
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4 years building services at peerTransfer
Felipe Talavera
October 17, 2014
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Transcript
4 years building services Felipe Talavera
A.K.A. Services vs Monoliths
"Microservices" - yet another new term on the crowded streets
of software architecture. http://martinfowler.com/articles/microservices.html -Martin Fowler
None
1B$ process +500 schools almost 4 years
0 sinatra 1 rails 0 daemons 0 libraries 1 server
November 2010!
None
0 sinatra 2 rails 1 daemons 0 libraries 2 servers
January 2011!
HTTP REST API’s! ! Async process with a message broker
None
App per git repo! ! Apps are deployed separately !
Infra as code
Issues
Features involving multiple apps ! One rails app failure affect
the other ! Complex monitoring/acceptance needed !
dependency resolution ! version tagging and deployment! ! handling performance
degradation Manual
! Error Handling cascading, trace, storm, retry
Infra on AWS June 2012!
http://martinfowler.com/bliki/MicroservicePrerequisites.html Rapid provisioning Basic Monitoring Rapid application deployment
4 sinatra 4 rails 4 daemons 3 libraries 6 servers
June 2012!
None
None
None
10 sinatra 4 rails 8 daemons 7 libraries 21 servers
October 2014!
teams around services
Accidental complexities
API consumers Auto generated consumer, ex: ActiveResource ! Cross app
testing, consumer mock mode ! Recording traffic, VCR approach
A/B testing across apps ! Feature flagging
None
40 sinatra 3 rails 15 daemons 20 libraries 40 servers
July 2016!
! Docker containers ! Consul ! Etcd ! Terraform Our
next steps:!
Modern alternatives !
! Hystrix/RxJava Latency and Fault Tolerance for Distributed Systems Java
lib runs in JVM languages, scala, clojure, etc… from netflix http://blog.josephwilk.net/clojure/building-clojure-services-at-scale.html
! Finagle Pipes-and-Filters meets Futures model. Thrift for RPC ZooKeeper
for Service Discovery from twitter Finatra Scala lib
! Zipkin A distributed tracing system
Apache Mesos Develop and run resource-efficient distributed systems ! !
Cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Learned lessons! ! What things we would do differently?
Thanks!