Fake S3 – Save time, money, and develop offline(blog.getspool.com) |
Fake S3 – Save time, money, and develop offline(blog.getspool.com) |
There are a few better strategies I can see here:
1. For test, use something like VCR[1] to record real HTTP interactions with the real S3 API during first test runs, serialize them to disk, and then replay them later.
2. Go the more OO route and create an internal business object with a defined interface that handles persistance of your objects. You could have a S3Persister for production and staging, but then you can create a LocalDiskPersister or even MemoryPersister for tests. Hell, you can even keep your own S3 and create OurS3Persister as well. The main point here is that your application code is coded to one API/interface - the "persister" - and you can easily swap in different persisters for different reasons. All the individual persisters can then have their own tests that guarantee they adhere to to Persister interface and do their own individual things correctly.
3. Mock out the calls to your S3 library. It's the job of the library to provide an API interface for you as the application developer to S3, so you can mock out those API calls and trust the library works and is doing the right thing. Since you're mocking things out, you should still have integration tests with the real S3 to verify everything is working, but for quick unit tests mocking works great.
The blog post mentioned they had GB of data, so YMMV on these ideas, but these are strategies I and others have used in the past when dealing with APIs like S3 and they work great.
We work on the idea of different stages in the test and development pipeline. At different stages mock objects make sense, and at other stages having something like Fake S3 makes more sense.
For testing, the first stage would be unit testing. At that stage it is best to mock out your S3 interactions (with something like VCR or WebMock) and use an OO approach to wrap your persistence, so you could swap out S3 with another persistence engine without breaking APIs.
The second stage for us is integration testing where you might have multiple machines testing across the network. In this situation, I think it is great to have real network requests happening rather than mock requests. Also you can deal with real files (especially important with media files like images and video).
The last stage is taking out Fake S3 and using a true S3 connection to ensure that everything does work on a production environment (cuz Fake S3 could be faking you out, especially on things like authentication and versioning). We do that by launching a stage cluster and running a set of integration tests on that before doing a production release. Ideally, the first and second stages catch any errors before you start doing tests against the real AWS services.
As for the development pipeline, being able to work with real assets while you are making mobile or web interfaces is really useful, as well as simulating latency to see how interfaces respond when under a slow network connection is something that would be difficult to truly mock.
The same caveat still applies about needing an integration test with the real S3 in either case.
The short answer is that there is no difference. Just as you could mock out a call to S3API.get(object_id) and have it returns my_object, you could write a server that responds to the S3 API call for getting object_id.
The long answer is that using mocks is a lot quicker to develop, easier, more straight forward and has faster run time than maintaining a real runnable copy of S3 that behaves the exact same as the real S3. With the fake S3 you're still spending CPU cycles inside your S3 client while it talks HTTP with your fake S3, which slows unit tests down a lot. Plus fake S3 may have slightly different behavior when your S3API library interacts with it, which could lead to really hard to track down bugs later on. Trusting your APIs is what unit testing is all about.
Thanks to git I was able to spool up my commits and then push when I pulled into port and had cellular access, but I wasn't really able to do everything I wanted with the paperclip-backed models without reliable/cheap network access.
An offline emulation mode for S3 sounds pretty nice, thanks for this!
It was a lifesaver, because the wifi at the place I was couch-surfing was a little spotty.
It's kind of hard to google for "dragonfly".
Wikipedia use OpenStack Swift to store their images, and have some good presentations on this.
iptables or putting nginx with rate limits in front of Fake S3 would be a more powerful approach, but also harder to get going.
So early on when I developed a mock web service which could serve mock data based on the service I was calling. As a result, I always knew what data was available, had coherent data (foreign keys across systems were always valid), and whenever I needed to, I can bring a system down and test my own system's rigidity and error messages. It was great. And then we reengineered all the systems and everything changed.
"For development, each engineer runs her own instance of Fake S3 where she can put gigabytes of images and video to develop and test against, and her setup will work offline because it is all local."
Is spool a team of all women engineers? (I'm just curious as to whether or not that's true because it's so rare. I don't want to turn this into a weird opposite day version of the sexism in computer science debate.)
Unless of course we are talking about a specific example like "John foolishly unscrewed the cap on his radiator while the engine was running".
In which case I would generally try and mix the gender across examples.
"Jane stabbed herself in the eye with a pencil when she was rear-ended by John on the way to the hospital"
We currently have a setup that needs S3 access to reliably develop/test the app I'm currently working on and I had just sat down planning to remove this dependency, since I will be on the road the next week or so.
This will save me a bunch of time immediately and probably some money later on. Thanks!
One thought that comes to my mind is if I could get away with building entire apps using this and spin it off to S3 where/if it's needed.
https://github.com/facebook/tornado/tree/master/demos/s3serv...
p.s. anyone think we need a developer-tools kickstarter? paul, lmk before i give it to my friends at tech stars
Have you tested it against paperclip?
My only concern would be for the potential drama caused by members of the community who find the idea of paying for open-source development abhorrent.