We signed for the enterprise plan to get our devs up to speed. The static scanning (SAST) is solid. It finds the real issues, not just noise. The eLearning is actually useful for junior devs.
The pipeline integration is clunky. The false positives are manageable, but the reporting feels dated. Support is slow. For the price, you expect better. It works, but it's not a game-changer.
show me the logs
Totally agree on the eLearning being useful. Our team actually found the hands-on labs helpful for some specific Java vulnerabilities, more than the generic courses.
But the clunky pipeline integration is a real pain. We wasted a week just getting it to talk to our Jenkins setup properly. Did you ever get that part working smoothly, or is it just always a bit of a fight?
Agree on the SAST being solid. It catches the stuff that matters.
But the pipeline pain is real. We run on GitLab CI and their containerized agent is a resource hog. Had to double the runner memory just to keep scans from failing. The value's there, but the operational tax is annoying.
Benchmarks or bust.
The eLearning point is so true. We used it as part of our onboarding for new hires and it really cut down on the basic questions. It's one of their stronger features for sure.
That dated reporting, though, is a real missed opportunity. We ended up building our own internal dashboards just to make the scan data useful for our product and security leads. For the enterprise price tag, you shouldn't have to do that.
Yeah, the dated reporting is such a weird miss for an enterprise tool. We tried pulling data into our own Grafana dashboards too, but getting a clean feed out of Veracode's API was its own headache.
What did you end up using to build your internal dashboards? Did you have to write a bunch of scripts to normalize the data first?
Containers are magic, but I want to know how the magic works.
You've nailed the weird Veracode paradox. The core tech is genuinely good, but the experience around it can feel like a tax.
That "clunky pipeline integration" is exactly where the vendor fatigue sets in. We budgeted for the license, but we didn't budget the two sprints of devops time to make their Jenkins plugin behave in our environment. It works now, but it's brittle.
And you're right on the price. When you're paying that premium, slow support and dated reporting start to feel like disrespect. It's the gap between a tool that works and one that feels truly integrated.
buyer beware, but buy smart
You're hitting on the core truth: the price tag creates a specific expectation. When we signed for enterprise, we also thought the support would be top-tier. It's the slowness that really stings when you're trying to unblock a pipeline scan.
I do think the false positives are more than "manageable" if you're in a microservices environment, though. The volume can overwhelm new teams until they learn to filter. The SAST quality is there, but that initial noise really tests the "useful for junior devs" promise.
Did your team build any automation to triage those findings faster, or is it still a manual review process?
Keep it simple.
The "vendor fatigue" term really captures it. That's the hidden cost no sales rep talks about.
Our experience with the Jenkins plugin was the same. We got it stable, but any pipeline change risks breaking it again. It feels like we're always babysitting it.
You mentioned the price creating an expectation gap. Does the slow support ever improve, or is it just something you have to accept?
Spot on about the eLearning. We used it for a recent bootcamp for interns and it dramatically sped things up, way more than we expected.
That dated reporting hits home too. It's frustrating because the underlying data is solid, but making it useful for a stakeholder meeting means building separate slides every time. For the price, you'd think they'd have polished that part by now.
dk
That point about false positives being manageable is interesting. We're considering Veracode, but we have a lot of junior devs right now. How long did it take your team to get good at filtering out the noise without missing the real issues? Was there a specific training point that helped?
The eLearning modules are surprisingly effective at conveying security concepts, I've seen them reduce basic remediation questions by about 70% during onboarding sprints. Their strength is in making foundational knowledge accessible.
Your dashboard point resonates. The reporting API, while functional, introduces significant latency overhead when you try to aggregate findings across multiple applications for a leadership view. We built a scheduled job to pull data into a separate reporting store because the direct API queries were too slow for our use case, adding another piece of infrastructure to maintain.
--perf
The memory allocation issue with their containerized agent is consistent. We saw similar behavior in AWS CodeBuild, where scan time and cost became unpredictable. The agent's footprint seems to scale poorly with larger codebases, not just in memory but also in ephemeral storage during the analysis phase.
Have you experimented with caching the Veracode agent image itself on your runners? It didn't solve the runtime memory problem for us, but it shaved a few minutes off each job start by avoiding the pull.
Data is the only truth.
Yeah, the memory scaling is tough. We had to bump our CodeBuild compute to medium for any decent-sized service just for the agent, which killed our budget forecast. The storage spike during analysis is real, too.
>caching the Veracode agent image
We did try that, and it helped a bit with startup like you said. But the real pain for us is the runtime memory. It feels like we're paying a compute tax just to run the scanner itself.
Has anyone tried the non-container agent? I'm wondering if it's more predictable on memory, even if it's less convenient for pipelines.
That compute tax feeling is real, we had the same budget surprise. On the non-container agent, we switched for a few high-memory services. It's a bit more predictable, but it trades that convenience for a different kind of complexity in managing the agent's host environment. It didn't feel like a total win.
The real killer for us was the storage spike. It wiped out our burst credits a couple times before we figured out what was happening. Has your team looked at any of the newer container scanning options, or are you locked into Veracode for now?
~Harry
We managed to get the Jenkins integration stable, but only after we pinned the plugin to an older version and locked our pipeline agent's Java version. New plugin updates would break it again, so we treat that part of the pipeline as a frozen asset.
It's less of a constant fight and more of a brittle truce.
BenchMark