Benny Bauer - Python in The Serverless Era

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Python in The Serverless Era Photo by Zack Spear Icon by Serverless

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◉ Chief Architect @ ◉ Ex- : Cloud Architect @ AutoCAD ◉ Find me at @benikbauer I am Benny Bauer Hello!

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What is Serverless Dev SaaS BaaS FaaS

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What is FaaS - Function as a Service Fully-managed compute Provisioning, patching, scaling, monitoring, logging are provided out-of-the-box Deploy your code Just package and upload the code Pay for actual usage Getting charged only upon code execution, per 100ms 100% UTILIZATION LESS OPS

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How it works Deploy your code Define triggers Code execution EVENT-DRIVEN AUTO SCALING + AVAILABILITY ◉ HTTP requests ◉ Storage (e.g. file upload) ◉ DB (e.g. row insert) ◉ Scheduled tasks ◉ Messaging ◉ Many many more...

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Other - Scheduled tasks - Distributed compute API - Web backend - Mobile backend - Bot Use cases Data processing - IoT - Streams (analytics, logging, etc) - Files (images, text, etc.) Operations - CI - Policy enforcement - Provisioning

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Things to be aware of Stateless Instances are ephemeral. Store state on client-side, cache or db. Cold start Latency (< 2 sec) when container is cold (upon first run or inactivity). Vendor lock-in Integrations with other services are the real bait. Granularity Unit of deployment is nanoservice/function. Costs Cost-effective up to a certain point. Limitations Execution time is 5 min. Payload & disk sizes are limited.

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Let’s get to business! Python & FaaS

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Cloud providers Python 2.7 & 3.6 are supported by: ● AWS ● OpenWhisk ● Microsoft Azure - experimental, still not GA

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Configuration - Event binding - Resources definition - Security roles definition The need for frameworks Deployment - Package - Upload - Rollback

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Frameworks Chalice

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Serverless Framework

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Zappa One function only. Serves as a WSGI server WSGI

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Unique features: ● Global deployment ● “Keep warm” functionality ● SSL certification ● Support for AWS Lambda compatible python libraries (lambda-packages & Manylinux wheels) Zappa

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● Python Serverless Microframework for AWS ● Each endpoint is a separate function Chalice

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Chalice $ pip install chalice $ chalice new-project helloworld && cd helloworld $ cat app.py from chalice import Chalice app = Chalice(app_name="helloworld") @app.route("/") def index(): return {"hello": "world"} $ chalice deploy

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Unique features: ● Automatic IAM policy generation Chalice

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Pywren

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import pywren def scrape(url): # scrape it... return data wrenexec = pywren.default_executor() futures = wrenexec.map(scrape, [url,...]) results = pywren.get_all_results(futures) Credit: Sean Smith (https://blog.seanssmith.com/posts/pywren-web-scraping.html) Credit: Sean Smith (https://blog.seanssmith.com/posts/pywren-web-scraping.html)

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Summary What was it all about?

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Takeaways ◉ Serverless is a fast & cost-effective way to deliver many use cases with Python ◉ New frontiers for Python (frameworks, tooling, etc.)

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Any questions? Thanks! Slides template by SlidesCarnival Find me at @benikbauer This work is licensed under a CC Attribution 4.0 International License.