Liz Fong-Jones / Elliot William Fong / @lizthegrey - 'Consent accident' enjoyer, ex-Google employee, nepotistic sex pest, Robert Z'Dar look-alike who wants authority over the Internet

The problem with that is, on the books, that was considered time(money) owed to an employee and if they didn't take all the PTO allotted to them by the end of the year, it really fucked with the company's financials. Many companies tried to implement a "use it or lose it" policy, but that wouldn't always be enforceable depending on the state or country the employee was in.
Anecdotally, one company I worked for was on a knife-edge of bankruptcy based entirely on whether a senior employee with too much PTO banked, quit. :story:

Unlimited PTO, or "No PTO" as I call it, is one of the most brilliant accounting tricks ever conceived of to keep books solvent 100% to the benefit of employers while sounding amazing to employees.

For a company like Honeycomb which isn't exactly solvent without VC funding, it's a no brainer, but realistically it's a no brainer in general if you run a business with employees.
 
Elliot spends so much time trying to fuck with the site that it genuinely makes me wonder what he actually does.
Like yeah, adding a troon for affirmative action points is great, but you gotta make them do something.

And considering this layabout is about to take an entire month off, I'm wondering if he's throwing in the towel for the month or if he's about to attempt some more stupid shit for a month straight. Either way I look forward to it.
If you're going to attack Elliot, hit us with everything you've got, champ. Pull out all the stops, take the kid gloves off and really fuck us up. Feel free to expend all your energy from your vacation to try and take us down. We're getting a month of peace or you're wasting your vacation. We win Either way.


What exactly does honeycomb do? Their website reads like a shitty Kickstarter where it's all about how they will totally revolutionise your company but doesn't actually tell you what they actually do

From what I can parse they're like a sandbox that mimicks user engagement with your site in a sandbox environment to see where things could go wrong? Like an automated beta test?

But the entire point of beta testing is testing how the human factor affects your software?
 
What exactly does honeycomb do? Their website reads like a shitty Kickstarter where it's all about how they will totally revolutionise your company but doesn't actually tell you what they actually do

From what I can parse they're like a sandbox that mimicks user engagement with your site in a sandbox environment to see where things could go wrong? Like an automated beta test?

But the entire point of beta testing is testing how the human factor affects your software?
...that descriptions sounds suspiciously like their entire business model revolves around being very good at illegal ddos attacks. Might also explain why Elliot hasn't been fired for his personal vendetta, as he can just work it in as stress-testing their software.
i wonder what would happen if that was brought to Microsoft's or Cloudflare's attention? Those companies frequently go after people attacking their customers.
 
What exactly does honeycomb do? Their website reads like a shitty Kickstarter where it's all about how they will totally revolutionise your company but doesn't actually tell you what they actually do

From what I can parse they're like a sandbox that mimicks user engagement with your site in a sandbox environment to see where things could go wrong? Like an automated beta test?

But the entire point of beta testing is testing how the human factor affects your software?
"Observability"

What that means? I guess better log viewing.

What it really means, some cottage industry that doesn't really do anything useful.
 
What exactly does honeycomb do? Their website reads like a shitty Kickstarter where it's all about how they will totally revolutionise your company but doesn't actually tell you what they actually do

From what I can parse they're like a sandbox that mimicks user engagement with your site in a sandbox environment to see where things could go wrong? Like an automated beta test?

But the entire point of beta testing is testing how the human factor affects your software?
Perhaps they automate consent accidents? Only reason I can think of that they'd hire Thwomp.
 
"Observability"

What that means? I guess better log viewing.

What it really means, some cottage industry that doesn't really do anything useful.
It's a very difficult to do project. In theory you could use machine learning to Identify normal network behavior and flag anything suspicious, but trainign the model to recognize the difference between normal and bad behavour is hard.
 
"Observability"

What that means? I guess better log viewing.

What it really means, some cottage industry that doesn't really do anything useful.
It's the hipster term for basic centralized logging with some software on top of it to show you what is happening in a way the dumbest tranny on HRT can understand. Some of these tools inject themselves (I have only encountered Dynatrace, which for the nerds here attaches itself to every process on your box by putting itself in the ld_preload environment variable) in your processes as well so they can show you what's going on within a application.

Looking at what Honeycomb.io shows on their fugly unusable website, their tool is just a way to collect the logging with a couple of easy plugins for people who are too dumb to set up a Syslog or Graylog server or something comparable and send the logs there, with a dumb GUI on it so that the trannies can click around in it, because HRT rotted their brain enough that they don't understand the output of their logging.
 
"Observability"

What that means? I guess better log viewing.

What it really means, some cottage industry that doesn't really do anything useful.
Broadly, yes.
That's a thinly veiled ad, but it gives you some idea of what the market is about. It's also funny because Honeycomb is nowhere to be found on the list. :story:

I've worked with Datadog a bit, what I used it for was its aggregation of logs from all the connected infrastructure in one place with the ability to see things next to each other on a dashboard that might otherwise require way more effort on the user's part to line logs up, it could filter things out based on source or patterns and all that shit to get rid of cruft, and so on. That said, I only scratched the surface, for another very basic example the admins also were using it to diagnose performance issues since it aggregated that info as well which you could correlate with all the other data.

When you've got 30 or so basically VMs (we were using Kubernetes) running different microservices for your software, and you're trying to debug a failure or a performance bottleneck, it can be a real pain to start tracking down where shit is breaking across all those logs. And that was for a small company with small SAAS product, that problem does not get more manageable with more infrastructure.

So observability software does have a real use, strictly speaking it is a "nice-to-have" but boy howdy is it nice to have when you start having a lot of infrastructure.

Why a bunch of queers decided they needed to try to reinvent the wheel is a good question (if we're being charitable), but that's basically what they're doing at Honeycomb, and it's not exactly a sparsely populated market to enter.

edit: ninja'd :story:

...so it's not ai enhanced yet? How difficult would it be to train an AI on the core logs so you can give it complex queries and it highlights anything unusual?
When I was working with it, AI was not where it is today by any stretch, and I've kinda left the industry behind I'm the wrong person to ask about where things are now. That said, it sounds like you aren't the only one to ask this question because the ad I linked mentions "insights from machine learning" in the blurb about Datadog...whatever that means.
 
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It's a very difficult to do project. In theory you could use machine learning to Identify normal network behavior and flag anything suspicious, but trainign the model to recognize the difference between normal and bad behavour is hard.
It is, but it's not like they are doing any "proprietary" stuff. Their business model revolves around customizing opensource technology for clients, with the hopes it'll mitigate X risk.

There are 100+ different companies that do the exact service they provide, albeit different flavor.

That industry is reliant on clients never taking ownership of X risk mitigation, which is implicitly shorterm (for a functional org at least.)
 
Broadly, yes.
That's a thinly veiled ad, but it gives you some idea of what the market is about. It's also funny because Honeycomb is nowhere to be found on the list. :story:

I've worked with Datadog a bit, what I used it for was its aggregation of logs from all the connected infrastructure in one place with the ability to see things next to each other on a dashboard that might otherwise require way more effort on the user's part to line logs up, it could filter things out based on source or patterns and all that shit to get rid of cruft, and so on. That said, I only scratched the surface, for another very basic example the admins also were using it to diagnose performance issues since it aggregated that info as well which you could correlate with all the other data.

When you've got 30 or so basically VMs (we were using Kubernetes) running different microservices for your software, and you're trying to debug a failure or a performance bottleneck, it can be a real pain to start tracking down where shit is breaking across all those logs. And that was for a small company with small SAAS product, that problem does not get more manageable with more infrastructure.

So observability software does have a real use, strictly speaking it is a "nice-to-have" but boy howdy is it nice to have when you start having a lot of infrastructure.

Why a bunch of queers decided they needed to try to reinvent the wheel is a good question (if we're being charitable), but that's basically what they're doing at Honeycomb, and it's not exactly a sparsely populated market to enter.

edit: ninja'd :story:
...so it's not ai enhanced yet? How difficult would it be to train an AI on the core logs so you can give it complex queries and it highlights anything unusual?
 
...so it's not ai enhanced yet? How difficult would it be to train an AI on the core logs so you can give it complex queries and it highlights anything unusual?
Because they most likely can't copy/paste a solution from somewhere and sell it. Most of what they do from what I gather looking at their shit is throwing some standard open-source solutions together and write a GUI for it.
 
You would need to have a working proper model.
Where would troons get one?
putting Honeycomb and troons aside for the moment, would it be possible for a large company with a fully internal logging system to train an ai on it's logs hand have it perform useful functions?
 
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When troons are no longer the flavor of the month.
Does Elliot deserve some special protection from terrorizing dozens of professionals in and out of their workplace? Even by tranny standards, he's crossed several lines and set very ugly precedents. If he were to publish how (relatively) easy it is to coerce your way this far, even mid-sized business firms would be at risk.
 
fyi - I posted some more info about her here; it's worth a look :story:

View attachment 5216328

And feel free to scroll a few msgs up to see some info on Charity Majors...
zebra-south-african-1247873.jpg

So this company has a brick transitioning into a woman and a woman transitioning into a zebra? Is their business strategy operating a freakshow?
 
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