Akula112233

9 ms·

1.
by Akula112233 2y ago
Our free tier doesn't include the anomaly/error detection (noted on the site, we can make it more clear though). And your numbers do add up! That's why you can't just run all your logs through an LLM. Aggregated (+ simpl
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by Akula112233 2y ago
I assume this is most in regards to our anomaly/error detection! Deterministic rules for flagging anomalies + human feedback help in adapting our flagging system accordingly. So hallucinations won't directly impact flagged anomali
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by Akula112233 2y ago
We offer competing core functionality in terms of storage and search, but we’re also focused on intelligence: real-time anomaly detection, semantic log analysis, and natural language search. Would recommend the demo video and playground env
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by Akula112233 2y ago
Yes, we support OpenTelemetry ingestion! Also Datadog, Splunk, and various other vendors’ agents/forwarders - even custom HTTP Daemons. If you’ve already set up logging, good chance you can just point your instrumentation towards us an
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by Akula112233 2y ago
Noted, thank you! Will make some changes accordingly.
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by Akula112233 2y ago
Ah, any particular reason to want these SDKs public? Happy to, especially since you can see source on install anyway. Just curious! And Kudos to SigNoz as well - have to check out other folks in the space :)
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by Akula112233 2y ago
> Can it run completely on prem ? Yep we have an on-prem offering as well, got similar notes from folks before! > What stops me from building my own logger that sends a request to write a record to a DB and later asks an LLM what it m
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by Akula112233 2y ago
Yep, but it's sometimes a compromise people may be unwilling to make. Too often I hear (and have seen via DD customers) horror stories about initiatives to fix observability squashed by teams in hopes of shipping. Moving fast has it&#x
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by Akula112233 2y ago
> I don't understand, what about that is a "silent failure"? Silent failures can be "allowed" behavior in your applications that aren't actually labeled as errors but can be irregular. Think race conditions,
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by Akula112233 2y ago
Agreed! Metrics are a high priority, especially since working to increase the available context around each anomaly we flag. Logs were a natural starting point because that’s where developers often spend a significant amount of time stuck r
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by Akula112233 2y ago
Very relatable experience with log diving, feels very much like a needle-in-haystack problem that gets so much harder when you're not the only one who contributed to the source of errors (often the case). As for the skepticism with LLM
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by Akula112233 2y ago
Absolutely! Java bindings are on our radar. Any specific use cases / implementations you'd like to see? In the meantime, we do also support a couple off-the-shelf collectors that should already support Java applications!
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by Akula112233 2y ago
Ah! That was a leftover from the initial dev version of our website. I've taken it out now. Thank you!
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82 points by Akula112233 2y ago|56 comments