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LinkedIn uses 2.4 GB RAM across two tabs

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Re: LinkedIn uses 2.4 GB RAM across two tabs

#51

I don't understand why people get so hung up on Chrome using so much memory. A lot of this memory is "discardable" so will get dropped when the system is under memory pressure and the amount of memory allocated for this type of usage will depend on how much memory your system has available. If Chrome is using lots of memory then it's almost always because your system has lots of available memory. It allows the browse…

I want my compiler, language server IDE, to do that not LinkedIn

Re: LinkedIn uses 2.4 GB RAM across two tabs

#52

I don't understand who uses that network anymore. Everytime I login it's all ai generated stories next to ai generated flavor images of people sounding like a parody of themselves ("what taking my kids to school taught me about business scaling"). Out of all places to doomscroll, why choose the one that feels like an episode of Severance?

I always saw LinkedIn, as nothing more than the best dating site in the world. My results so far have been stellar.

Re: LinkedIn uses 2.4 GB RAM across two tabs

#53
post #22
post #3

Earlier quoted context omitted.

It's not as bad as JIRA, although JIRA is marginally more useful than LinkedIn.

kinda offtopic but as somehow currently outgrowing trellos capabilities, do you have any good suggestions instead of Jira?

The answer is unfortunately jira.

Re: LinkedIn uses 2.4 GB RAM across two tabs

#54

Earlier quoted context omitted.

It's a social network that became socially acceptable to browse at work. It has all the negative attributes associated with a social network and none of the upsides (apart from the occasional recruiter message).

> It's a social network that became socially acceptable to browse at work. YMMV. I’ve heard a few stories where opened LinkedIn at work was treated as a massive red flag: “this person looks elsewhere, they are not committed to the company anymore”.

It depends on your role. People in sales have it open all the time since it's a legitimate research tool for them.

Re: LinkedIn uses 2.4 GB RAM across two tabs

#55
post #39

AWS has a similar RAM consumption. I close Signal to make sure it doesn't crash and corrupt the message history when I need to open more than one browser tab with AWS in the work VM. I think after you click a few pages, one AWS tab was something like 1.4GB (edit: found it in message history, yes it was "20% of 7GB" = 1.4GB precisely) Does anyone else have the feeling they run into this sort of thing more often of lat…

What us this AWS you talk about? :-)

Re: LinkedIn uses 2.4 GB RAM across two tabs

#56
post #3
post #2

[flagged]

It's not as bad as JIRA, although JIRA is marginally more useful than LinkedIn.

Jira’s problem is that it’s effectively free-form, and there are no enforcements in place. You can have three teams - one using kanban with relative estimates, another using springs with story points, and a third using waterfall with time estimates - all in the same project, with the same workflows, and conflicting requirements. You have 3 different release fields, 2 are required, the third one is the one that your team are generating reports from.

That and its dog slow, of course.

Re: LinkedIn uses 2.4 GB RAM across two tabs

#58
post #55
post #39

AWS has a similar RAM consumption. I close Signal to make sure it doesn't crash and corrupt the message history when I need to open more than one browser tab with AWS in the work VM. I think after you click a few pages, one AWS tab was something like 1.4GB (edit: found it in message history, yes it was "20% of 7GB" = 1.4GB precisely) Does anyone else have the feeling they run into this sort of thing more often of lat…

What us this AWS you talk about? :-)

my employer's choice of premium hosting provider

Re: LinkedIn uses 2.4 GB RAM across two tabs

#59
post #39

AWS has a similar RAM consumption. I close Signal to make sure it doesn't crash and corrupt the message history when I need to open more than one browser tab with AWS in the work VM. I think after you click a few pages, one AWS tab was something like 1.4GB (edit: found it in message history, yes it was "20% of 7GB" = 1.4GB precisely) Does anyone else have the feeling they run into this sort of thing more often of lat…

Hit this exact wall with desktop wrappers. I was shipping an 800MB Electron binary just to orchestrate a local video processing pipeline.

Moved the backend to Tauri v2 and decoupled heavy dependencies (like ffmpeg) so they hydrate via Rust at launch. The macOS payload dropped to 30MB, and idle RAM settled under 80MB.

Skipping the default Chromium bundle saves an absurd amount of overhead.

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