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WHALELESS!
 AMIR CHAUDHRY DOING SERVERLESS WITH DOCKER GlueCon
 25 May 2017 @amirmc

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WHALELESS! OVERVIEW ▸ What is Serverless, anyway? ▸ Frameworks available ▸ Docker, Docker, Docker! ▸ Why this matters ▸ Questions?

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SERVERLESS?

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SERVERLESS SERVERLESS? CODE THAT MATTERS.
 ONLY ON DEMAND.

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SERVERLESS ONLY THE CODE THAT MATTERS … TRIGGERED ON DEMAND

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SERVERLESS ONLY THE CODE THAT MATTERS … TRIGGERED ON DEMAND !

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SERVERLESS ONLY THE CODE THAT MATTERS … TRIGGERED ON DEMAND ! "

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SERVERLESS ONLY THE CODE THAT MATTERS … TRIGGERED ON DEMAND ! " HARDWARE OS RUNTIME LIBS

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Monolith Microservices Functions

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Monolith Microservices Functions Real hardware Cloud deployment

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FRAMEWORKS

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▸ Many to choose from! ▸ Main ones tied to specific infrastructure providers ▸ A few try to abstract across providers ▸ A few are ‘bring your own cloud’ FRAMEWORKS A FRAMEWORK A DAY…

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▸ NodeJS, Python, Java, C# ▸ Seamless AWS integration ▸ Free tier:
 1M free req per month
 400k GB-sec compute ▸ 20¢ per 1M req
 $0.00001667 per GB-s FRAMEWORKS AWS LAMBDA

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▸ JS, C#, F#
 Also scripting in many others ▸ Free tier:
 1M free req per month
 400k GB-sec compute ▸ 20¢ per 1M req
 $0.000016 per GB-s FRAMEWORKS AZURE FUNCTIONS

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▸ NodeJS ▸ Free tier:
 2M free req per month
 400k GB-sec and
 200k GHz-sec compute
 5GB (egress) ▸ 40¢ per 1M req
 $0.0000025 per GB-s
 $0.0000100 per GHz-s
 $0.12/GB outside Google FRAMEWORKS GOOGLE CLOUD FUNCTIONS

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▸ Straightforward to create new functions ▸ Autoscaling is built in ▸ Enables new interaction models (IoT, Voice, etc) FRAMEWORKS BENEFITS

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CAVEATS

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CAVEATS BALANCE OF CONCERNS ▸ Devs: love the idea of serverless! ▸ Ops: still need oversight for monitoring and control ▸ Finance: still cares about spending and forecasting ▸ Business: needs to maintain flexibility

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CAVEATS IF IT’S ALL CONTAINERS?

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CAVEATS IF IT’S ALL CONTAINERS? SERVERLESS WITH DOCKER?

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FaaS github.com/alexellis/faas @alexellisuk

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FAAS FRAMEWORK ARCHITECTURE

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FAAS FRAMEWORK ARCHITECTURE ▸ Built on Swarm Mode ▸ Uses STDIN and STDOUT ▸ Metrics baked in ▸ Deploy a demo stack in 60s

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FAAS FRAMEWORK WATCHDOG

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FAAS FRAMEWORK SERVERLESS BENEFITS ▸ Straightforward to create new functions ▸ Autoscaling is built in ▸ Enables new interaction models (IoT, Voice, etc) ▸ Low cost

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FAAS FRAMEWORK SERVERLESS BENEFITS ▸ Straightforward to create new functions ▸ Autoscaling is built in ▸ Enables new interaction models (IoT, Voice, etc) ▸ Low cost

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FAAS FRAMEWORK EXAMPLE - IMAGE RESIZING FROM v4tech/imagemagick ADD https://github.com/alexellis/faas/releases/ download/0.5.2-alpha/fwatchdog /usr/bin RUN chmod +x /usr/bin/fwatchdog ENV fprocess "convert - -resize 50% fd:1" EXPOSE 8080 CMD [ "/usr/bin/fwatchdog"]

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DEMO TIME! DEPLOY!

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FAAS FRAMEWORK WHAT YOU SAW ▸ Play with Docker ▸ Quick to deploy ▸ Simple UI ▸ Sample functions

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FAAS FRAMEWORK SERVERLESS BENEFITS ▸ Straightforward to create new functions ▸ Autoscaling is built in ▸ Enables new interaction models (IoT, Voice, etc) ▸ Low cost

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DEMO TIME! AUTOSCALING

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FAAS FRAMEWORK WHAT YOU SAW ▸ Load created ▸ Replica count increased ▸ Replica returned

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FAAS FRAMEWORK SERVERLESS BENEFITS ▸ Straightforward to create new functions ▸ Autoscaling is built in ▸ Enables new interaction models (IoT, Voice, etc) ▸ Low cost

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FAAS FRAMEWORK NEW INTERACTION MODELS

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DEMO TIME! CHAT OPS

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FAAS FRAMEWORK WHAT YOU SAW ▸ Example of chat ops ▸ Swapped AWS Lambda for FaaS ▸ Code ran real-time, on private infrastructure, next to data ▸ Used YAML stack format and handers to quickly template app
 (NodeJS, Python) code: github.com/alexellis/journey-expert code: github.com/alexellis/faas-cli

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FAAS FRAMEWORK WHAT YOU SAW code: github.com/alexellis/journey-expert provider: name: faas gateway: http://localhost:8080 functions: incoming: lang: python handler: ./incoming image: alexellis2/incoming environment: es_url: "http://elasticsearch:9200/t alexa_query: lang: node handler: ./alexa_query image: alexellis2/alexa_query environment: term: "gluecon" es_url: "http://elasticsearch:9200/" filter_url: “http://gateway:8080/fun filter_string: lang: python handler: ./filter_string image: alexellis2/filter_string code: github.com/alexellis/faas-cli ▸ Example of chat ops ▸ Swapped AWS Lambda for FaaS ▸ Code ran real-time, on private infrastructure, next to data ▸ Used YAML stack format and handers to quickly template app
 (NodeJS, Python)

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FAAS FRAMEWORK WHAT YOU SAW code: github.com/alexellis/journey-expert from urlparse import urlparse import string def handle(st): val = st parts = val.split(" ") bits = [part for part in parts if not urlparse(part).scheme and part != "&" ] val = string.join(bits, " ") print(val) code: github.com/alexellis/faas-cli ▸ Example of chat ops ▸ Swapped AWS Lambda for FaaS ▸ Code ran real-time, on private infrastructure, next to data ▸ Used YAML stack format and handers to quickly template app
 (NodeJS, Python)

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SO WHAT?

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SO WHAT? NEW PATTERN.
 HERE TO STAY.

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NEW PATTERN TRY IT WITH DOCKER!

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THANK YOU!
 @amirmc

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THANK YOU!
 QUESTIONS? @amirmc