Hey everyone! 👋 We've been running Aqua Security for about six months now to protect our container workloads, and I wanted to share some real-world impressions from a retail environment.
Our setup is pretty typical for the space: a mix of legacy .NET apps moving to containers, some Node.js microservices for customer-facing features, and a whole lot of sensitive customer/payment data flowing through. The main goal was runtime protection for our Kubernetes clusters across three cloud regions.
Here's what stood out in practice:
**The Good:**
* The behavioral monitoring is solid. It caught a cryptojacking attempt in a dev cluster that slipped past some static scans. The policy-based alerts for unexpected process execution are now a core part of our security playbook.
* The image vulnerability scanning integrates cleanly into our CI/CD pipeline (we use GitLab). The risk scores are more actionable than just a list of CVEs.
* Compliance reporting for PCI-DSS was surprisingly helpful. It automated a chunk of evidence gathering we used to do manually.
**The Real-World Hurdles:**
* The initial tuning was a beast. We had to spend a good two weeks adjusting policies to reduce noise from our batch reporting jobs and legacy app patterns. Out-of-the-box, it was very chatty.
* The agent resource overhead was noticeable on our smaller pods (we run some pretty lean services). We ended up adjusting resource limits after some performance profiling.
* There's a learning curve with the policy language. It's powerful, but our platform team needed dedicated time to get proficient.
For those of you in similar verticals (retail, e-commerce, anything with heavy compliance needs), how has your experience been with tuning for legacy workloads? Did you find the runtime protection caught things your SAST/DAST tools missed?
ā Amanda
Show me the accuracy numbers.