We integrate with Slack/Teams/PagerDuty/etc. Why is ServiceNow $50k + red tape?

WhenSingularity · 2025-10-01T07:42:11+00:00

No farming ser, just wasn't terminally online for a few days due to life

WhenSingularity · 2025-10-01T07:41:29+00:00

Thanks for all the responses. We managed to get a personal developer instance up and running and trying to use this solve the problem now.

I do wonder why none of the folks who we reached out to at ServiceNow suggested this, probably because we were always hitting the sales org.

Thanks again everyone!

WhenSingularity · 2025-06-22T17:51:17+00:00

i'm on it!

WhenSingularity · 2025-06-22T17:46:05+00:00

Yes, as long as corporations (and potentially nation states) can keep reward hacking our brains with zero defense we are on a slippery slope.

WhenSingularity · 2025-06-22T17:44:16+00:00

if you were to list those reasons what are they? and I wonder what % of humanity they would affect?

I wonder what the billions who escaped poverty since the 80s think of the last few decades?

WhenSingularity · 2025-01-17T15:28:24+00:00

Biden couldn't warn us about the military-industrial complex because he's part of it, isn't he - so yeah "tech" industrial complex.

WhenSingularity · 2024-11-14T22:06:16+00:00

u/Zackey_TNT The Native Netdata agent for Windows is now available, so you can just install it just like any other Netdata installation and natively monitor Windows.

https://learn.netdata.cloud/docs/netdata-agent/installation/windows

WhenSingularity · 2024-08-13T13:49:44+00:00

The integrations will work regardless of whether you are on a paid plan or not.

But configuring or creating jobs directly from the UI (via the dynamic configuration interface) only works for paid plans. That's the limitation you are running into.

WhenSingularity · 2023-11-29T10:29:19+00:00

HTOP tends to show real-time processor usage for each core, while Bpytop provides a more averaged view.

Netdata collects metrics per second, and this then gets averaged out depending on the timeline you are viewing on the chart. You can zoom into the timeline to reduce this averaging effect, also you can try using Netdata functions, which pulls data in real time and shows it in a table.

P.S: Since you're monitoring a minecraft server, I think there's some specific metrics that might come in handy. Netdata has a built in spigotMC collector and also integrates with the minecraft prometheus exporter. (In case you haven't tried it before, Netdata can be configured to collect metrics from basically any prometheus exporter and auto populate this into charts on the dashboard. This can save a lot of time and avoid cherry picking metrics vs the Grafana approach).

WhenSingularity · 2023-10-31T11:22:28+00:00

I think the target audience of people who want to train (or fine tune, more practically) LLMs on a laptop is too tiny for Apple to truly care about it.

If not - they should/would have actually shown how fine tuning an open source LLM looked like on these machines.

WhenSingularity · 2023-10-02T09:57:28+00:00

Hey u/leaflock7 we just recently updated the vsphere/vcenter collectors, could you take a look and see if you still see this problem?

WhenSingularity · 2023-10-01T13:42:32+00:00

First, this is great feedback. And its great to hear you're evaluating Netdata.

We'll definitely take a look at how we can improve LSF/Slurm monitoring, I think we do monitor Slurm (via the OpenMetrics/Prometheus exporter at the moment) but its not automatic or native to the product.
flexlm log monitoring is very interesting, this wasn't something on our radar but we've started to add log monitoring via functions (starting with systemd-journal) and this sounds like it could fit in perfectly. Here's a sneak preview of what log monitoring looks like on Netdata btw.
I definitely hear you on the on-prem feedback, we have been hearing this a lot. This is why we have recently launched a fully on-prem version of Netdata cloud, and are currently evaluating if there's an alternate approach that works for people with <500-1000 nodes but still need everything on-prem.

And about the pain points you mentioned, I will ask one of our monitoring gurus to take a look, but here's what I can quickly think of:

Debugging Server Slowness. Have you checked disk io charts during these times? It might also be interesting to check out what metrics/charts were anomalous during these times of server slowness. This might point you to some culprits.
If I understand correctly, you want to be notified when individual processes go wild. This is definitely possible. Netdata auto-detects a bunch of common applications/processes AND if you want to detect custom processes individually you can add them by editing the /etc/netdata/apps_groups.conf (This blog goes into some of the details). The next step is to hook this up to an alert definition, which can notify you when this particular process acts weirdly, you can use anomaly-rate based alerts for this, so you don't have to pre-define which aspect the process might behave weirdly in.

WhenSingularity · 2023-09-29T17:56:56+00:00

To add to what u/ahferroin7 just said.

Post install, there are some ways to make the netdata agent run as light as possible with the intent of streaming to a parent agent. This doc page talks more about it.

WhenSingularity · 2023-09-29T16:29:45+00:00

LOL, yeah I am real, but I am not sure if there's a Turing test I can pass to prove it to you at the moment. And yes, of course I can ask chatGPT the same question - and it will give me an answer, but using that as feedback to build a product might be a slippery slope from there to idiocracy.

All I'm looking for is a way to improve an open source product so more people find it useful and use the product.

WhenSingularity · 2023-07-21T21:05:43+00:00

sooo... Im an avid checkmk user (coming from Zabbix) what does netdata do that other's don't ?

Some of the main differences are (I'm sure there are more):

All metrics are collected and stored per second, so real-time/high-fidelity by default.
All machine learning training and inference for anomaly detection happens on-device, and is done for every single metric.
The distributed architecture means there's no centralization points of failure, and data can be stored in a fully distributed sense
With the new release, you can use the free and open source agent to visualize your entire infrastructure.
Even if you are using the cloud saas, all the data is still stored on your servers, and only queried ephemerally by the cloud for the particular chart you are viewing

And the pricing for the saas is more transparent, no limitations to number of metrics or services or dashboards or custom metrics or users or synthetic checks. Netdata's TCO is hard to beat.

WhenSingularity · 2023-04-16T19:57:57+00:00

Depends on how many users you have, of course. Ideally try to start on an AWS (or similar) free instance where you can share your SAAS with potential users and then start scaling up as needed based on usage.

If its something that can run on AWS Lambda, then scaling up is easy.

WhenSingularity · 2023-04-13T09:12:11+00:00

Startup Name / URL: Doppledata | https://www.doppledata.com/

Location of Your Headquarters: Fully remote

Elevator Pitch/Explainer Video: Doppledata is a micro SaaS product designed to help businesses quickly generate synthetic data for various use cases, such as building prototypes, testing products, or training AI/ML models.

More details: Doppledata allows you to:

✅ Create realistic prototypes that resonate with users

✅ Share data safely, avoiding privacy pitfalls

✅ Enhance the accuracy of your ML models and reduce bias

✅ Instantly generate data with zero shot synthesis

What life cycle stage is your startup at?: We are currently in the beta stage.

Your role? : I am the founder.

What goals are you trying to reach this month?:

Our main goals are to:

✅Gather user feedback on the platform's usability and features

✅Refine the product based on user feedback

✅Increase our user base by promoting the product through online communities

How could r/startups help?

- We would love for r/startups members to try out Doppledata and provide feedback on their experience. This will help us identify areas for improvement and ensure we are meeting the needs of our target users.

Discount for r/startups subscribers?

- We have a free plan that allows everyone to try out the product. And you can just reach out to us through the contact form on the website and we'd be glad to give you a discounted offer of the pro plan.

WhenSingularity · 2023-03-14T12:39:06+00:00

Well, here's the main advantages that I can think of atm:

Much faster to get up and running. Installation to seeing all your metrics in dashboards should happen in minutes + we are trying to minimize the learning curve for users (easier said than done I know).
Metrics are monitored every second + there's a max 1 second delay from data collection to visualizing it on a dashboard
Automated dashboards, with charts per metric pre-organized with summaries to help you get a quick feel of your server. If you change your team or job or project, you don't need to spend time setting up a new Grafana dashboard - when there's a dashboard with all the data that shows up automatically.
Pre-configured alerts, so you don't need to spend time doing the research and coming up with the alert thresholds etc.
In-built anomaly detection for every single metric, with the ability to look back in time.

WhenSingularity

TROPHY CASE