Fakecloud: Local AWS cloud emulator for integration tests
fakecloud.dev
fakecloud.dev
Both fakecloud and its website look sloppily vibe-coded, and its “authors” are anonymous. It’s going to take a while for it to earn trust. I’d treat it with suspicion. (Curl-to-shell pipe to install? Ugh.)
"curl-to-shell pipe to install" - what's the problem here? that's pretty common on linux systems and something the AWS CLI uses.
Or is the problem the fact that this dev is untrusted and is executing a possibly malicious script on your machine?
I’m not sure how your machine is configured but mine has permission boundaries and security policies that make sure programs are behaving properly. I don’t run everything with my personal user context.
If someone wants to be reckless they can be. If someone doesn't, they also have that ability.
But really, there is no reason not to use prebuilt packages for distribution. Curlpiping needs to die.
Furthermore, you can be sure that theversion that you download is the same version it has always been and it is the same version everyone else sees. Curl|bash can mean getting a version of the code that is different from everybody else.
I've run Linux without meaningful package management, as that was kind of the style of the time 30 years ago with Slackware. It can quickly become untenable.
There's no real difference between an uninspected script that gets piped straight from the URL into the shell, or a similarly-uninspected make&&sudo make install routine from a tarball. They can both execute code that does bad things (whether unintentionally or deliberately), and they can both leave a mess that is hard to cleaned up.
I've found that it is better to just avoid going down that road to begin with. Whether distro-specific packages, Docker containers, flatpaks, or whatever: All of these make housekeeping easier.
For reasons my machine with a beefy GPU is stuck on an older set of Nvidia drivers. I've got them pinned with apt. The ollama installer fucked everything up by updating stuff that apparently wasn't pinned. After I had fun cleaning up that fucking mess I found it overwrote my custom systemd service file so I had to go in and fix that.
Curl-to-shell is a bullshit antipattern. I have no interest in going back to the dark days of expanding tarballs to / and hoping for the best.
And when the new distro-provided nVidia driver does something garish like, say, break XFCE, then it's easy(ish) to roll it back using distro tools and pin it there. After that, just wait until some other more-functional combination of shakes loose in the distro channel.
When a new nVidia driver shows up that promises a fix but the distro hasn't packaged it yet, then the temptation to just download and run the installer that's on nVidia's website. But using nVidia's special-sauce installer taints the system in ways that distro tools deliberately seek to avoid.
And: Oh, man. I'd almost forgotten about the binary tarballs that were intended to be simply dumped into /, where they'd just tromp on whatever. Sure, it was fast. And for some people, some times, it even worked. Sometimes, it didn't work. Other times, it broke other things that had been working. And it left a mess behind every single time.
A little bit of a mess isn't necessarily devastating on a personal system. But the mess accumulates every time such an unmanaged installation process happens until it eventually overwhelms to the point that even the most functionally-disorganized of people become dysfunctional.
The blog posts are all attributed to "Lucas Vieira" and the dev group https://faisca.dev that is attributed as the author has 2 other projects. Lucas comes up in LinkedIn and looks like an actual person working in San Francisco.
Re: curl; this seems to work:
cargo install fakecloudAs if the MiniStack website wasn't also obviously vibe-coded lol.
You can check who’s using Ministack on public GitHub repos, NVIDIA, Block, NASA, the U.S. gov, the UK gov, and many others. There are plenty of examples demonstrating that we’re doing something good
If you still want to use COBOL because it makes you feel better or smarter, good for you. That doesn’t mean Ministack lacks quality
Disclaimer: I work for LocalStack
Otherwise your test implicitly make assumptions like “User A is always off-line” (or bucket A is always empty), add a reader of the test would have to go find where that assumption is hardcoded in the simulator and verify it separately from the test itself.
To someone reading that test it is not intuitive that user A is always off-line or bucket A is empty.
If you mock out in line, you can have tests that mock user a / bucket a — to simulate any state for any user or bucket. Perhaps multiple states in one test.
Also think about scenarios like the bucket is initially populated, but then on a subsequent request, it’s empty.
With the simulator approach, you’d have an endless number of permutations of scenarios to add — each of these scenarios would be highly coupled to the test it belongs to, so why not just put it in line in the test itself?
Any reader of the test that uses inline mocking would clearly see which scenario is being tested instead of having to dive into a separate simulator to see what special treatment is hardcoded for User a / bucket a (or maintaining potentially hundreds or thousands of simulated buckets with ad hoc names like “empty-on-second-request” or “bucket–that-responds-slow-and-times-out-but-succeeds-on-retry”.
That's where the difficulty is, where the round trip to testing this stuff on live services is painfully slow and error feedback is mixed at best.
In total my conformance suite found 583 failures out of 1279 tests.
https://www.localstack.cloud/localstack-for-azure
Disclaimer: I work for LocalStack
When I see that, it always reminds me of Steve Jobs’s quote: ”It’s not a product, it’s a feature”.
Aren’t cloud companies like AWS, Azure, GCP the first to be interested in providing their users a meaningful way to do test integrations of their products? Shouldn’t they provide them in the first place?
Depending on what your size and other things, sometimes it's just easier to have dev instances you test against. Like S3 emulator, you could download one of many and test it but unless your test suite is extensive, the costs against S3 test bucket would probably cost you .03 cents for assurances that everything will work against AWS. If that's breaking the bank at the company, you probably have bigger problems.
Not sure if your serious.
You picked the simplest service that isn't expensive at all to run. Have you tried with an RDS cluster for example, how does that work?
Does your integration test create a new cluster to use? That's slow to set up.
Does it use an existing one? Now you might have failures due to noisy neighbors and your cost will not be small.
And that's just RDS, as soon as it's not serverless, costs aren't trivial anymore.
Again, while local cloud emulator is great for cost sensitive customers, at some point, you should test Dev against almost exact environment you will be running Prod on. If not, you are asking for eventual outage in Prod when some slightly different AWS thing bites you.
> If not, you are asking for eventual outage in Prod when some slightly different AWS thing bites you.
Exactly...
Whole point is this stuff is for those who think running Dev RDS is too expensive.
You should be writing everything in a sans-IO pattern: define your core, the interfaces, and your own types, (even if it seems redundant) and never, ever import a single dependency from a cloud provider in that core. Make two implementations of the interfaces: one in-memory that can be spun up quickly for testing and one that uses the actual cloud provider APIs. Now instead of hoping fakecloud or localstack update their mocks to be inline with AWS, all you have to do is update your dependencies and the implementation code and the core can be left alone for a long time.
This is also why I avoid lambda and other "serverless" compute like the plague because it's designed from the ground up to lock you in.
doesn't it boil down to not using unique services?
If nobody provides an alternative today that could switch as quickly as changing an endpoint and token then you are coupled.
It's not a technical decision as much admitting in the strategy that we are cutting corners because it's cheaper/faster today but some hypothetical day in the future when we'll magically have more resource we won't?
My $0.02: just use the AWS SDK to spin up real infrastructure on demand. You can provision SQS in < 10ms. Buckets in <100ms. DDB can take upwards of 30 seconds to a minute if you're adding GSIs, but it's a very small tax in exchange for the confidence it brings. (People often balk at this idea when they first hear it, but give it a shot! I have stamped out many a bug thanks to being able to bounce ideas off real infra.)