we’ve been using nano-services for the past 6 months or so. Two different reasons. A codebase we absorbed when a different team was dissolved had a bunch of them, all part of AWS AppSync functions. I hate it. It’s incredibly hard to parse and understand what is going on because every single thing is a single function and they all call each other in different ways. Very confusing.
But the second way we implemented ourselves and it’s going very well. We started using AWS Step Functions and it allows building very decoupled systems by piecing together much larger pieces. It’s honestly a joy to use and incredibly easy to debug. Hardest part is testing, but once it’s working it seems very stable. But sometimes you need to do something to transform data to piece together these larger systems. That’s where ‘nano-services’ come in. Essentially they’re just small ruby, python, js lambdas that are stuck into the middle of a step function flow in order to do more complex data transformation to pass it to the next node in the flow. When I say small I mean one of the functions we have is just this
to map a service that doesn’t fail with a 4xx http code to one that does fail with a 4xx http code.
You could argue this is a complete waste of resources, but it allows us to keep using that other service without any modifications. All the other services that depend on that service that maps its own error types can keep working the way they want. And if we ever do update that service and all its dependencies, now ‘fixing’ the workflow is literally as simple as just deleting the node and the ‘nano-service’ to go along with it.
I should note that the article is about the first thing I discussed, the terrible codebase. Please don’t use nano-services like that, it’s literally one of the worst codebases I’ve ever touched and no joke, it’s less than 2 years old.
we’ve been using nano-services for the past 6 months or so. Two different reasons. A codebase we absorbed when a different team was dissolved had a bunch of them, all part of AWS AppSync functions. I hate it. It’s incredibly hard to parse and understand what is going on because every single thing is a single function and they all call each other in different ways. Very confusing.
But the second way we implemented ourselves and it’s going very well. We started using AWS Step Functions and it allows building very decoupled systems by piecing together much larger pieces. It’s honestly a joy to use and incredibly easy to debug. Hardest part is testing, but once it’s working it seems very stable. But sometimes you need to do something to transform data to piece together these larger systems. That’s where ‘nano-services’ come in. Essentially they’re just small ruby, python, js lambdas that are stuck into the middle of a step function flow in order to do more complex data transformation to pass it to the next node in the flow. When I say small I mean one of the functions we have is just this
def handler(event:, context:) if event['errorType'] clazz = Object.const_set event['errorType'], Class.new(StandardError) raise clazz.new.exception, event['errorMessage'] end event end
to map a service that doesn’t fail with a 4xx http code to one that does fail with a 4xx http code.
You could argue this is a complete waste of resources, but it allows us to keep using that other service without any modifications. All the other services that depend on that service that maps its own error types can keep working the way they want. And if we ever do update that service and all its dependencies, now ‘fixing’ the workflow is literally as simple as just deleting the node and the ‘nano-service’ to go along with it.
I should note that the article is about the first thing I discussed, the terrible codebase. Please don’t use nano-services like that, it’s literally one of the worst codebases I’ve ever touched and no joke, it’s less than 2 years old.
Sounds like a distributed monad
This looks like hell.
I’m a C/C++ developer though.
Ya feel good about yourself, slugger? /s