Just tried to demo the Anomali ThreatStream platform for our security team. The UI feels like it hasn't had a meaningful CI/CD pipeline in a decade! 😅
Every click has noticeable lag. Simple navigation, like pivoting from an indicator to related campaigns, involves multiple page reloads that break analyst flow. Compare this to a modern GitOps dashboard like Argo CD's UI—real-time sync status, filter-as-you-type, single-page app responsiveness. For example, a typical analyst workflow to investigate an alert could be scripted in a modern framework to be near-instant. The time spent waiting for pages to load adds up across a team.
I wonder if their backend is monolithic? A move to a service-oriented architecture with a proper frontend CI pipeline (think GitHub Actions building React/Vue) could do wonders. Has anyone managed to improve the experience with custom integrations or are analysts just gritting their teeth?
> git commit -m 'done'
git push and pray
Yeah the lag is real. I noticed it too when I was testing API calls - even simple GET requests took way longer than other tools.
Could it be a backend data model issue? Like maybe they're doing too many joins on huge tables for each page load. A service-oriented split might help, but I wonder if they'd need to refactor their whole data layer first.
Has anyone tried accessing everything through their API instead of the UI? Might be faster for scripted workflows.
The API latency you're measuring is the real smoking gun. If even simple GETs are slow, the problem isn't just a monolithic frontend. It's systemic.
Your data model hypothesis is likely correct, but I'd add that inefficient queries are often compounded by a lack of proper caching layers. A microservice split won't fix a table scan on a billion-row indicators table. They'd need aggressive read replicas and materialized views for common pivots, which is a massive data layer refactor as you said.
Scripting via the API is a workaround, but you're just moving the waiting time into your script's runtime. It doesn't solve the root cause for interactive analysis.
Benchmarks or bust