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The Fork in the API
App-centric vs Job-centric Microservices
Ivan Dwyer | Head of Business Development | Iron.io | @fortyfivan
“Loosely coupled service oriented
architecture with bounded contexts”
- Adrian Cockroft
characteristics of a microservice
a containerized workflow sets the stage
runshipbuild
Dockerfile Docker Image Docker Container Docker Daemon
?
“The intended lifecycle of the workload itself
determines how a microservice should behave”
- Me
but what about its behavior?
a further distinction needs to be made
App-centric
Real-time requests
Job-centric
Background processes
how does it run?
Synchronous Asynchronous
request 1
response 1
request 2
response 2
waitwait
request 1
response 1
request 2
response 2
how is it deployed?
Staged Uploaded
Runtime Image
Repo
push upload
how is it invoked?
Request Event
request
Client Event
trigger
response
how is it routed?
Load Balancer Queue
Load
Balancer
how does it fail?
Reroute Retry
Load
Balancer
retry
how does it scale?
Elastic Concurrent
Load
Balancer
how does it execute?
Long Running Ephemeral
start stop
process
how does it get data?
Connection Payload
DB
when to do what?
Stream processing
Real-time analytics
Client requests
Database queries
User facing processes
Scheduled jobs
Batch processing
Transactions
Mobile backends
ETL pipelines
event-driven computing for cloud native applications
queue, schedule and execute
job-centric microservices at scale
www.iron.io

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API Strategy Austin - App-centric vs Job-centric Microservices

  • 1. The Fork in the API App-centric vs Job-centric Microservices Ivan Dwyer | Head of Business Development | Iron.io | @fortyfivan
  • 2. “Loosely coupled service oriented architecture with bounded contexts” - Adrian Cockroft characteristics of a microservice
  • 3. a containerized workflow sets the stage runshipbuild Dockerfile Docker Image Docker Container Docker Daemon ?
  • 4. “The intended lifecycle of the workload itself determines how a microservice should behave” - Me but what about its behavior?
  • 5. a further distinction needs to be made App-centric Real-time requests Job-centric Background processes
  • 6. how does it run? Synchronous Asynchronous request 1 response 1 request 2 response 2 waitwait request 1 response 1 request 2 response 2
  • 7. how is it deployed? Staged Uploaded Runtime Image Repo push upload
  • 8. how is it invoked? Request Event request Client Event trigger response
  • 9. how is it routed? Load Balancer Queue Load Balancer
  • 10. how does it fail? Reroute Retry Load Balancer retry
  • 11. how does it scale? Elastic Concurrent Load Balancer
  • 12. how does it execute? Long Running Ephemeral start stop process
  • 13. how does it get data? Connection Payload DB
  • 14. when to do what? Stream processing Real-time analytics Client requests Database queries User facing processes Scheduled jobs Batch processing Transactions Mobile backends ETL pipelines
  • 15. event-driven computing for cloud native applications queue, schedule and execute job-centric microservices at scale www.iron.io