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Visual-textual framework for serverless computation: a Luna Language approach
Copyright: AGH University of Science and Technology, The Luna Team, 2018
Piotr Moczurad, Maciej MalawskiWorkshop on Serverless Computing 2018
Zürich, 20.12.2018
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The evolution of an architecture
Image source: https://spectreattack.com/
Copyright: AGH University of Science and Technology, The Luna Team, 2018
2
The next step: serverless
A function is a first-class unit that is billed and deployed separately.
It seems to be the finest level of granularity we can achieve in cloud computing.
Copyright: AGH University of Science and Technology, The Luna Team, 2018
3
The trend• Subdivide computations
• Separate responsibilities
• Reduce cost
• Increase performance
• Increase scalability
• Increase complexity…
Image source: https://spectreattack.com/
Valu
e Ax
is
0
2
4
6
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Monoli
th
Service
s
Micros
ervice
s
Func
tions
Com
plex
ity
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Look again…
Image source: https://spectreattack.com/
How do we go about visualising the serverless architecture?
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Image source: https://spectreattack.com/
Ideally: a graph. Node: a function.
Edge: the flow of data between functions.
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Visualisation
Visual-textual programming
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Data flow graph
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Adjustable levels of abstraction
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Code representation
Every node corresponds to one line of code
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Code representation
Everything you type is reflected by the graph
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Benefits
• Clear pipeline in form of a readable graph
• Manageable complexity: correctness & productivity
• Communication backed by the compiler
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Luna + Serverless
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Ideal world
Functions executing remotely (e.g. on AWS Lambda) indistinguishable from local asynchronous functions.
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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RationaleLocal async function:
• Doesn’t return immediately
• Can fail (interrupted?)
Remote function:
• Doesn’t return immediately
• Can fail (network failure?)
This can be captured by the same result type:
Future[T]
Copyright: AGH University of Science and Technology, The Luna Team, 2018
15
The Luna Serverless Framework
The configuration is abstracted away.Sensible, overridable defaults are what makes the work efficient.
Initialization/configuration
aws = AWS.init aws1 = aws.setRole “myRole…”
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Defining a function
PoC stage: take the function code in JS and create a Lambda function.
jsCode = “exports.handler = async (event) => {return ‘Hello’ + event.name + ‘!’; };” code = LambdaFunctionCode.fromText “helloFunc” jsCode createFunction1 = aws.createFunction code
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Invoking a function
Call a remote function similarly to a regular method.Two flavours:
sync :: Payload -> Resultasync :: Payload -> Future Result
payload = JSON.empty . Insert “name” “Peter” helloFunc.invoke payload
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Function return value
We can chain operations on values that are not-quite-there-yet.(Thank you, monads!)
The functional and async way:
futureRes = invokeFun . flatMap extractRP . await . get
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Utilities
Creating the function many times is the thing to avoid.
Caching and lookup of remote functions
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Under the hood
• Part of the Luna Language Standard Library
• Crucial parts written in Haskell, API wrapper in Luna
• Leverages the Amazonka library [1] and its Amazonka Lambda extension [2]
[1] http://hackage.haskell.org/package/amazonka [2] http://hackage.haskell.org/package/amazonka-lambda
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Performance• Performance was not a design goal! (Programmer
productivity was)
• Incidentally, the performance is comparable to Haskell and Node.js:
Sync Luna Haskell Node.js
Mean [s] 35.12 37.17 37.94
StdDev [s] 0.38 0.79 0.81
Async Luna Haskell Node.js
Mean [s] 34.55 33.32 34.35
StdDev [s] 0.81 2.67 0.58
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Future work
• Enable the deployment of functions written in Luna (!)
• Support other cloud providers
• Develop a more sound typing scheme for calls and responses
• Develop a formal model for proving the correctness of Serverless applications
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Closing remarks
• Long way to go until serverless functions are supported as a first-class citizens in a programming language but we are getting there.
• Serverless and functional are a promising match!
• Visual solutions for serverless are necessary: a visual language provides that out-of-the-box.
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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Get in touch!
• GitHub: github.com/luna
• Website: luna-lang.org
• Chat: chat.luna-lang.org
https://www.icsr.agh.edu.pl/
• GitHub: https://github.com/piotrMocz/
• Twitter: https://twitter.com/PMoczurad
• Mail: [email protected]
Copyright: AGH University of Science and Technology, The Luna Team, 2018
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