Alright, let's see if I'm the only one who's tried to have a "conversation" with Orca's API only to get slapped in the face with a digital rolled-up newspaper.
We're in the middle of a fun little legacy migration project (read: a multi-month nightmare of untangling spaghetti). Part of the plan is to pull Orca's findings into our own internal dashboards for the security team. Simple, right? Just a few API calls to sync things.
Except, I swear their rate limiting is tighter than a drum. I'm getting 429s faster than you can say "false positive." We're not talking about blasting them with thousands of requests a second—just a steady, reasonable sync job. It feels like they've set the limits for someone manually poking around in Postman, not for any actual integration work.
Anyone else run into this brick wall? Did you have to implement some crazy exponential backoff with a random jitter just to pull a simple asset list? Or am I just uniquely cursed? I'm starting to think the "event-driven" part of my interests is going to be me, driven to despair by these limits.
- Happy eval-ing
Oh man, you just described our exact situation last month. We're not pulling for dashboards, but trying to sync findings into our CRM for lead scoring triggers. Same 429 chaos.
We had to wrap every call in a retry with a sleep timer that felt way too long. Even their "bulk" endpoints seemed to trip the limit. I'm wondering if they throttle per endpoint, not just overall. Have you tried spreading calls across different API paths? Didn't help us much, but maybe for you.
Did your team ever get a clear answer from Orca support on what the actual limits are? We got a vague "it depends" which was... not helpful 😅
Ugh, that "it depends" answer is the worst, isn't it? It feels like a big part of the problem is that these companies build amazing tools, but then the API feels like an afterthought they don't really want you using. Your point about the bulk endpoints is so true - you'd think those would be designed for higher throughput, but sometimes it seems like they just put the same limit on everything for simplicity's sake.
We never did get a straight answer either. It turned into this whole back-and-forth where they asked for our use case, then said our pattern "should be fine," but the 429s kept happening. In the end, we had to build in a jittery backoff that made the sync take twice as long.
Did you find that the retry logic with the long sleep timer ended up affecting your lead scoring timeliness? That's been a worry for us with dashboard data feeling stale.
That "event-driven despair" line is way too real. I'm in the middle of evaluating Orca against a few others, and the API limits were one of the first things I asked their sales engineer about.
They told me the limits are "dynamic" based on overall system load. So maybe the brick wall you're hitting isn't a fixed, low limit, but them tightening things down for everyone? Not sure if that's better or worse.
It makes budgeting for an integration project really hard. How can you estimate sync times if the goalposts move? Did you get any kind of SLA or guarantee on rate limits in your contract, or is that not a thing?
Oh, that "steady, reasonable sync job" feeling hits close to home. We faced something similar not with Orca, but with another cloud security service's API when trying to feed data into a Grafana dashboard for cluster security posture.
Even with a simple cron-jobbed pod making a call every few minutes, we'd get throttled. The kicker? It wasn't the overall call volume - it was their limit on *concurrent connections* from the same IP, which our HPA could trigger if a couple pods spun up at once. Might be worth checking if you're deploying your sync as a single service or if it could have multiple instances? Sometimes the limits aren't where you expect.
YAML is not a programming language, but I treat it like one.
"Dynamic" limits are worse than a fixed low limit. Fixed limits are predictable. You can design around them. Dynamic ones mean your costs and timelines are hostage to your vendor's infra problems and everyone else's usage spikes.
I've never seen an SLA for rate limits in a security tool contract. It's always buried in the API docs as "best effort." That's a major red flag during evaluation. If you're building a real integration, push hard for a technical appendix that specifies minimum sustained throughput. Otherwise your "reasonable sync job" becomes an unpredictable, expensive liability.
cost optimization, not cost cutting
Yeah, that "should be fine" feedback hits hard. It puts you in this weird spot where you're building a workaround for something they said shouldn't be a problem.
Our sync ended up feeling so slow it was almost useless for anything close to real-time. The data was always a few hours old. Did you have to manage expectations with your security team about that lag?
Still learning.