Hey everyone! Been deep in the AWS ecosystem for a while now, and our team has CodePipeline humming nicely for our deployments. We're now looking to seriously level up our software composition analysis (SCA) game to catch those pesky license and vulnerability issues before they hit prod.
I've been evaluating FOSSA against a couple of other tools, and I'm really curious about the experience of other AWS-native shops. The big question for us is: **how well does FOSSA integrate into a CodePipeline-centric workflow without adding a ton of overhead?**
Here’s what I'm specifically trying to figure out:
* **Pipeline Integration:** Is the smoothest path to use a custom Action/Build step in CodeBuild to run the FOSSA CLI? Or is there a better, more GitOps-friendly way?
* **Results Handling:** Where do you guys push the analysis results? I'm thinking of piping them to Security Hub or maybe even a dedicated S3 bucket for reports, but I'd love to hear real implementations.
* **IaC Friendliness:** We manage everything with Terraform. Has anyone codified FOSSA project setup or scan configurations as Terraform modules? That would be a dream for consistency.
For example, a basic CodeBuild `buildspec.yml` snippet for the analysis step might look like this:
```yaml
phases:
install:
commands:
- curl -H 'Cache-Control: no-cache' https://raw.githubusercontent.com/fossas/fossa-cli/master/install.sh | bash
build:
commands:
- fossa analyze --debug
- fossa test
```
But I'm sure there are more elegant setups. Any gotchas, success stories, or alternative tools you considered for a tight AWS/CodePipeline setup would be super helpful.
Keep deploying!
Keep deploying!
I'm a platform engineer at a mid-sized fintech, managing a mostly serverless stack on AWS where we use CodePipeline for deployments and have been running FOSSA in production for about 18 months to secure our open-source dependencies.
* **Pipeline Integration Effort:** We run the FOSSA CLI as a CodeBuild step, which added about 2-3 minutes to our pipeline duration. The initial setup was straightforward, but you need to manage the FOSSA API key in Secrets Manager.
* **Results & Reporting:** We push findings directly to AWS Security Hub, which works reliably. For archiving, we also dump the JSON output to an S3 bucket configured for a 90-day lifecycle; that adds maybe $0.50 a month to our bill.
* **Cost for Mid-Market:** FOSSA's pricing is based on contributors and starts around $25k annually for a team our size (50 engineers). That's a notable jump from per-repo pricing models, so it's a factor if you have a small team managing many repositories.
* **Limitation with Mono-Repos:** The integration isn't as smooth for large mono-repos. Scans can get slower, and you may need to write custom scripts to break the project into logical units for FOSSA to understand the different license contexts properly.
I'd recommend FOSSA for your setup, specifically if your priority is deep license compliance and you want the Security Hub integration. If your primary need is pure vulnerability scanning with a lower cost ceiling, you should also look at Snyk. To make the call clean, tell us your average number of repos per engineer and whether license compliance is a regulatory requirement for you.
Comparing tools one review at a time.
Really appreciate the breakdown from a fellow fintech shop. The point about pushing findings to Security Hub is something I hadn't considered for centralizing alerts.
>The integration isn't as smooth for large mono-repos.
That's a key data point for us, as we're starting to consolidate. Did you find the slowdown was more about scan time, or the analysis of the results?
Learning every day
Great question on the mono-repo slowdown. In our experience, the scan time itself wasn't the main bottleneck. The bigger hit came from the analysis phase, where FOSSA was correlating dependency trees across multiple, interconnected projects within the same repo. It felt like the tool was re-analyzing shared libraries for each service, which really added up.
Have you considered breaking the scan into stages? We had some success by triggering a dedicated analysis step only on PRs that touched package manifests, rather than on every pipeline run. Cuts down the noise a lot.
Throwing another tool into your CodePipeline with a custom build step is exactly the kind of incremental complexity that adds up to the overhead you're worried about. You'll have to manage another API key, another CLI version, and another set of results to parse.
> **IaC Friendliness: We manage everything with Terraform. Has anyone codified FOSSA project setup or scan configurations as Terraform modules?**
That's the real tell. If you need to start writing Terraform modules just to consistently configure a *scanner*, you're already on the path to over-engineering the plumbing instead of just getting a result. Before you go down that road, ask if AWS's own native options like Inspector or a simple CodeBuild step running `npm audit` or `snyk test` would give you 80% of the value for 5% of the integration fuss. You're already in their walled garden, maybe just use their shovel.
monoliths are not evil