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Style 5 – Pipeline
Although Crista has called this the Pipeline style, you would recognize it as Functional Programming.
- Larger problem is decomposed using functional abstraction. Functions take input, and produce output
- No shared state between functions
- The larger problem is solved by composing functions one after the other, in a pipeline
Finally we’re able to write some idiomatic F# code!
The structure of the application is identical to that of the procedural style we explored in the last post. Except, this time around we’ll be passing data around as input and output, rather than global shared state.
and then to tie everything together:
You might notice that the above code is actually very similar to what we had in the procedural style. By removing the use of shared state our functions are now idempotent and provide better encapsulation.
Finally, compared to Crista’s solution in Python:
the beauty of F#’s pipes (|>) idiom really shone through.
You can find all the source code for this exercise here.
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Here is a complete list of all my posts on serverless and AWS Lambda. In the meantime, here are a few of my most popular blog posts.
- Lambda optimization tip – enable HTTP keep-alive
- You are thinking about serverless costs all wrong
- Many faced threats to Serverless security
- We can do better than percentile latencies
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- Yubl’s road to Serverless
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- AWS Lambda – compare coldstart time with different languages, memory and code sizes
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