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How Optimizely Scaled its REST API with asyncio

The document discusses how Optimizely scaled its REST API using asyncio, emphasizing what makes an API 'good,' such as ease of use, reliability, and comprehensive documentation. It outlines the benefits of using an API gateway to streamline operations and improve performance while integrating asyncio for non-blocking I/O operations. The presentation also includes code examples illustrating the asynchronous processing capabilities of Python's asyncio framework.

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How Optimizely scaled 
 its REST API with asyncio
Nick DiRienzo @nickdirienzo Software Engineer Optimizely @Optimizely Vinay Tota @vinaytota Senior Software Engineer Optimizely
We’ll talk about: • Optimizely’s API story • What makes an API “good” • Optimizely’s API gateway • Improving it with asyncio • Lessons learned
Where we started Where we started
Where we started
Optimizely Classic was an A/B Testing Solution
Optimizely X is an experimentation platform
Optimizely X Web Visual Editor Based Experimentation
Optimizely X Full Stack Code Based Experimentation Optimizely X Web Visual Editor Based Experimentation
Optimizely X Full Stack Code Based Experimentation Optimizely X Web Visual Editor Based Experimentation Experimentation Platform
What is happening?
How can we turn a good web UI into a good API?
What makes an API “good”?
Easy to use APIs What makes an API “good”?
More than mapping a data model to an HTTP endpoint
API is the UI for developers
TODO: Add results slide.
Getting Optimizely Results 1. Get Experiment data
Getting Optimizely Results 1. Get Experiment data 2. Get Layer data
Getting Optimizely Results 1. Get Experiment data 2. Get Layer data (whatever that is)
Getting Optimizely Results 1. Get Experiment data 2. Get Layer data (whatever that is) 3. Get Project Settings
Getting Optimizely Results 1. Get Experiment data 2. Get Layer data (whatever that is) 3. Get Project Settings 4. Get results data
1. Get Experiment data 2. Get Layer data (whatever that is) 3. Get Project Settings 4. Get results data GET /v2/experiments/:id/results Getting Optimizely Results
Easy to use APIs What makes an API “good”? Ensured Trust
Build a business on our APIs
How do we ensure trust? No surprises
How do we ensure trust? No surprises Reliable platform
How do we ensure trust? No surprises Reliable platform Performant platform
Trust can be made with: Interface Stability
Interface stability means... Beta & Stable APIs
Interface stability means... Beta & Stable APIs No breaking changes
Interface stability means... Beta & Stable APIs No breaking changes Versioning
Trust can be made with: Interface Stability Reliability
99.999%
Trust can be made with: Interface Stability Reliability Performance
Performance is mission critical
Performance can be a
 dealbreaker
Trust can be made with: Interface Stability Reliability Performance
Easy to use APIs What makes an API “good”? Ensured Trust Documentation
Write documentation
Write documentation
Generate documentation
Generate documentation with swagger-ui to ensure docs are...
Generate documentation with swagger-ui to ensure docs are... Up to Date
Generate documentation with swagger-ui to ensure docs are... Up to Date Comprehensive
Generate documentation with swagger-ui to ensure docs are... Up to Date Comprehensive Accurate
Easy to use APIs What makes an API “good”? Ensured Trust Documentation
How can we provide
 “good” APIs? How can we provide “good” APIs?
Getting Optimizely Results 1. Get Experiment data 2. Get Layer data (whatever that is) 3. Get Project Settings 4. Get results data
1. Get Experiment data 2. Get Layer data (whatever that is) 3. Get Project Settings 4. Get results data /v2/experiments/:id/results Getting Optimizely Results
We’ve got data all over
We’ve got data all over Experiments
We’ve got data all over Experiments Projects
We’ve got data all over Experiments Projects Results
We’ve got data all over Experiments Projects Results API Gateway
Benefits of an API gateway Operations through the API look a lot like their web UI counterparts

Benefits of an API gateway Operations through the API look a lot like their web UI counterparts Allows us to orchestrate APIs instead of data models

Benefits of an API gateway Operations through the API look a lot like their web UI counterparts Allows us to orchestrate APIs instead of data models
 
 Pulls problems away from business logic into a higher-level
 

Benefits of an API gateway Operations through the API look a lot like their web UI counterparts Allows us to orchestrate APIs instead of data models
 
 Pulls problems away from business logic into a higher-level
 
 Internal and external consumers go through the same application
 

api.optimizely.com What we’ve got
Python 3 + Pyramid + pyramid_swagger
We need to do a bunch of things in parallel...
Pyramid and Multiprocessing with multiprocessing.Pool() as pool, multiprocessing.Manager() as manager:
 response_queue = manager.Queue()
 try:
 # send our requests get back responses from the response_queue
 finally:
 pool.join()
 pool.terminate()
Pyramid and Multiprocessing with multiprocessing.Pool() as pool, multiprocessing.Manager() as manager:
 response_queue = manager.Queue()
 try:
 # send our requests get back responses from the response_queue
 finally:
 pool.join()
 pool.terminate()
Pyramid and Multiprocessing with multiprocessing.Pool() as pool, multiprocessing.Manager() as manager:
 response_queue = manager.Queue()
 try:
 # send our requests get back responses from the response_queue
 finally:
 pool.join()
 pool.terminate()
Pyramid and Multiprocessing with multiprocessing.Pool() as pool, multiprocessing.Manager() as manager:
 response_queue = manager.Queue()
 try:
 # send our requests get back responses from the response_queue
 finally:
 pool.join()
 pool.terminate()
An Unhealthy Situation AWS Elastic Load Balancer 5XX
An Unhealthy Situation Textbook case for non blocking IO AWS Elastic Load Balancer 5XX
Not the Experience We Want
Blocking IO: “Normal” PythonApplicationKernel Start
Blocking IO: “Normal” PythonApplicationKernel Start read()
Blocking IO: “Normal” PythonApplicationKernel Start read() Initiate read
Blocking IO: “Normal” PythonApplicationKernel Start read() Initiate read Receive response
Blocking IO: “Normal” PythonApplicationKernel Start read() Initiate read read() returns Receive response
Blocking IO: “Normal” PythonApplicationKernel Start read() Initiate read read() returns Receive response
Nonblocking IOApplicationKernel Start
Nonblocking IOApplicationKernel Start read()
Nonblocking IOApplicationKernel Start read() Initiate read, returns immediately
Nonblocking IOApplicationKernel Start read() Initiate read, returns immediately poll()until data has arrived
Nonblocking IOApplicationKernel Start read() Initiate read, returns immediately Receive response poll()until data has arrived
Nonblocking IOApplicationKernel Start read() Initiate read, returns immediately read() Receive response poll()until data has arrived
Nonblocking IOApplicationKernel Start read() Initiate read, returns immediately read() Receive response poll()until data has arrived
Nonblocking IOApplicationKernel poll(5)
Nonblocking IOApplicationKernel poll(5) poll(5)
Nonblocking IOApplicationKernel poll(5) poll(5)poll(5)
Nonblocking IOApplicationKernel Receive response poll(5) poll(5)poll(5)
Nonblocking IOApplicationKernel read() Receive response poll(5) poll(5)poll(5)
Nonblocking IOApplicationKernel read() Receive response poll(5) poll(5)poll(5)
Non Blocking IO Tw isted N odeJS Tornado 2002 N etty2004 20092006 EventM achine 2008 Eventlet 2015 Asyncio 2012 G o/G orutines
What’s it good for? Proxy
What’s it good for? Proxy
What’s it good for? Push Updates/Chat
What’s it good for? Push Updates/Chat
How do you schedule this work?
What framework?
Enter Asyncio Python 3.4
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast fast func start
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast fast func start
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast slow func start fast func start
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast slow func start fast func start
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast slow func start fast func start
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast slow func start fast func start 1 sec after start fast func done
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast slow func start fast func start 1 sec after start fast func done
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast slow func start fast func start 1 sec after start fast func done
async def i_take_a_while(): print('slow func start') await asyncio.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_take_a_while() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_take_a_whilei_run_fast slow func start fast func start 1 sec after start fast func done 3 sec after start slow func done
Blocking -> Asyncio Gunicorn Pyramid Pyramid View
Blocking -> Asyncio Gunicorn Pyramid Pyramid View Switch to asyncio worker class http:// docs.gunicorn.org/en/stable/design.html#asyncio- workers
Blocking -> Asyncio Gunicorn Pyramid Pyramid View Switch to aiopyramid https://github.com/housleyjk/aiopyramid
Blocking -> Asyncio Gunicorn Pyramid Pyramid View We can rewrite the views incrementally? Right?
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast fast func start
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast fast func start
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast block func start fast func start
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast block func start fast func start
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast block func start fast func start 3 sec later block func done
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast block func start fast func start 3 sec later block func done
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast block func start fast func start 3 sec later block func done
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast block func start fast func start 3 sec later block func done
async def i_block(): print('slow func start') time.sleep(3) print('slow func done') async def i_run_fast(): print('fast func start') await asyncio.sleep(1) print('fast func done') async def run_me(): await asyncio.gather( i_run_fast(), i_block() ) loop = asyncio.get_event_loop()
 loop.run_until_complete(run_me())
 loop.close() Event loop i_blocki_run_fast block func start fast func start 3 sec later block func done fast func done
Blocking and Nonblocking IO Don’t Mix
Blocking and Nonblocking IO Don’t Mix
asyncio all the things
asyncio all the things
How Do You Make Big Changes?
How Do You Make Big Changes?
How Do You Make Big Changes?
Code is Social
Code is Social • Better make sure it actually works!
Code is Social • Better make sure it actually works! • Pull Request Open 3+ weeks
Code is Social • Better make sure it actually works! • Pull Request Open 3+ weeks • Everyone on team added as a reviewer
Code is Social • Better make sure it actually works! • Pull Request Open 3+ weeks • Everyone on team added as a reviewer • 63 comments on Pull Request
Code is Social • Better make sure it actually works! • Pull Request Open 3+ weeks • Everyone on team added as a reviewer • 63 comments on Pull Request • Meetings for questions/concerns
Happily ever after AWS Elastic Load Balancer 5XX
Happily ever after AWS Elastic Load Balancer 5XX
Happily ever after 99th percentile latency
Happily ever after 99th percentile latency
asyncio
• asyncio from the start is ideal asyncio
• asyncio from the start is ideal • But can add it later if you have to asyncio
• asyncio from the start is ideal • But can add it later if you have to • Still early, but support will only improve asyncio
Good APIs are Hard

Good APIs are Hard
 • Lots of details to get right
Good APIs are Hard
 • Lots of details to get right • Using the right technologies helps
Good APIs are Hard
 • Lots of details to get right • Using the right technologies helps • Always keep iterating and improving
Come visit us at our booth! @Optimizely Try out Optimizely: optimizely.com/get-started
Q&A

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