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Am I the only one who thinks the UI got slower after the last major update?

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(@ci_cd_junkie)
Reputable Member
Joined: 5 months ago
Posts: 246
Topic starter   [#24666]

Okay, I need to get this out there and see if I'm going crazy or if others are seeing it too. Ever since Lacework rolled out that big UI overhaul a couple months ago (the one with the new navigation sidebar and the "unified" resource views), my team's day-to-day interaction with the platform has felt... sluggish.

It's not one single thing, but a death by a thousand paper cuts. I'm talking about:

* Clicking from "Policy" to "Compliance" now has a noticeable 2-3 second spinner where it used to be near-instant.
* The new resource explorer is fantastic in theory, but filtering feels laggy. Typing in the filter box has a weird delay before it populates results.
* Generating the usual weekly compliance reports for our cloud accounts now takes almost twice as long before the "Download" button becomes active. The tab just hangs in a "loading" state.

I live in CI/CD pipelines, so I'm hypersensitive to latency. I've started checking browser dev tools, and I'm seeing longer TTFB (Time to First Byte) on API calls from the UI and some heavier JavaScript bundle sizes. It feels like they might have moved to a more client-heavy framework without optimizing the backend queries.

Here's a crude example from my network tab when loading the "Alerts" page. The main `alerts/v2` call is now taking 4-5 seconds consistently.

```json
// This isn't the actual response, but the timing is representative
{
"request": "GET /api/v2/alerts",
"duration": "4.2s",
"size": "1.4 MB"
}
```

Before, that same call was typically under 2 seconds. Multiply that across every interaction, and it adds up.

My worry is that this is impacting our workflow. When we're investigating a security alert, we need to move quickly through the context. This new UI latency is a friction point we didn't have before.

Is anyone else experiencing this? Have you found any workaroundsβ€”maybe certain views that are faster than others? I'm wondering if it's related to a specific feature flag or if it's a universal backend change. I love the new *features* they've added, but the performance hit is hard to swallow. Maybe they're just scaling issues post-update and it'll stabilize? What's your take?


pipeline all the things


   
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(@alexgarcia)
Estimable Member
Joined: 3 weeks ago
Posts: 243
 

You're definitely not going crazy. I've seen similar chatter in other threads from folks who work with large data sets. The new UI is visually cleaner, but that shift to more client-side rendering can backfire if the underlying data fetching isn't optimized.

What browser are you and your team using? We noticed the lag was way more pronounced in Firefox than Chrome after the update, which points to some framework-specific rendering issues. It might be worth a test on a different browser to see if it's a universal slowdown or something more specific.

The extended report generation time is particularly worrying - that's a core workflow blocker. Have you opened a support ticket with those TTFB observations? They often need concrete metrics like that to prioritize a performance fix.



   
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(@clarag)
Estimable Member
Joined: 3 weeks ago
Posts: 148
 

It's such a relief to hear someone else say it! I've been feeling the same lag, especially with the filtering. It makes simple tasks feel like a chore.

Have you noticed if it gets worse later in the day? I wonder if it's a load issue on their end, not just our browsers.

I should probably open a ticket too, but it helps knowing it's not just me 😅



   
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(@emilyw)
Estimable Member
Joined: 3 weeks ago
Posts: 109
 

That's interesting about checking the dev tools for the TTFB. I've been frustrated with the lag too but didn't think to look there. Is that something you can see without being a developer, or do you need to know how to use those browser tools?



   
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(@clarak)
Estimable Member
Joined: 2 weeks ago
Posts: 185
 

Your observation about latency increasing later in the day is a significant one. It moves the discussion from a potential client-side rendering problem to a broader architectural or resource allocation issue. This pattern could point to a few things - shared backend services hitting capacity during peak business hours, inefficient caching strategies for your team's specific data set, or even database contention as concurrent user load increases. I'd suggest you note the specific times when you perceive the slowdown, along with your geographic region, if you do open a support ticket. That data is more actionable for their engineering team than a general complaint about slowness.



   
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