Ajs1

5 ms·

1.
by Ajs1 5y ago
https://www.zebrium.com/blog/how-cisco-uses-zebrium-ml-to-an...
2.
ML for logs – results from a large scale, real world study
4 points by Ajs1 5y ago|1 comments
3.
Three ways Machine Learning Changes Incident Management Lifecycle(zebrium.com)
1 points by Ajs1 5y ago|0 comments
4.
by Ajs1 6y ago
appreciate your comment - spot on!
5.
by Ajs1 6y ago
good point. This is the unfiltered response from the GPT-3 prompt, and the phrase "root cause" is a bit of an overstatement by GPT-3. However the collection of log events that are in the actual reports are far more descriptive. Yo
6.
by Ajs1 6y ago
fair point, but this blog and your comment is about a summary sentence. if you read through to how the underlying log reports are constructed, those are very accurate (and also quite concise).
7.
by Ajs1 6y ago
Right - we will consume alerts from other tools. I see your point about consolidating collection. We'll look for opportunities like this if we can. For now, we do try to make it easy and lightweight to set up our collectors. And many o
8.
by Ajs1 6y ago
Hi paridso, we tackle the problem at a more foundational level. AIops tools are designed to speed up resolution and reduce noise, but they act on a feed of alerts/incidents. So in a sense they are dependant on the quality of alerts gen
9.
by Ajs1 6y ago
hi gingerlime, thank you. One thing we're working on is taking an incident signal from other tools and augmenting it with an incident report. We're starting with PagerDuty and Slack integrations as sources, but could see extending
10.
by Ajs1 6y ago
:) founder here: well, if there is a runbook for a known failure, we can trigger it via webhook. But auto-remediation for a previously unknown failure is of course a much different beast. Ambition for the future...
11.
by Ajs1 6y ago
founder here: you certainly can. Our goal is to minimize this need for you, but any team with experience already has some problem signatures/alerts for known issues, and we've tried to make it easy to capture those. Our ML helps
12.
by Ajs1 6y ago
csears, founder here - could not agree more with your comments. 1. we learnt early to make user feedback easy (and immediately actionable) - they can quickly "like", "mute" and "spam". Or go more granular if n
13.
by Ajs1 6y ago
Hi, one of the founders here: The service is designed to not require specific data models, because that does not scale, nor does it keep up with changes in application behavior. Instead, the ML engine learns data structures, normal behavio
14.
by Ajs1 6y ago
and although this isn't quite answering your question about unknown/unknowns, this open source project lets you inject failure modes using a chaos tool (litmus) on your own app. We had really good results catching application inci
15.
by Ajs1 6y ago
Hi, these 2 blogs list some scenarios. The first has more details because we replicated these in house and can share full details: https://www.zebrium.com/blog/is-autonomous-monitoring-the-an... . https://ww
16.
by Ajs1 6y ago
thanks Samdung. Appreciate it, and any feedback once you try it.
17.
Beyond Anomaly Detection(zebrium.com)
2 points by Ajs1 6y ago|0 comments
18.
Log Anomaly Detection as a Foundation of Autonomous Monitoring(zebrium.com)
3 points by Ajs1 7y ago|0 comments
19.
Using machine learning to shine a light inside the monitoring black box(zebrium.com)
8 points by Ajs1 7y ago|1 comments
20.
Software Release anomaly detection in DevOps environment(researchgate.net)
1 points by Ajs1 7y ago|0 comments
21.
by Ajs1 7y ago
Co-founder here. Understand your concern and perspective Brad. In the near term this is a SaaS offering, so the best we can do to address these concerns is to offer strong security controls (a short list on our site, longer list on request
22.
A quick, free and easy way to find anomalies in your logs(zebrium.com)
5 points by Ajs1 7y ago|0 comments
23.
Tesla Adds Netflix, YouTube Streaming to In-Car Content(geek.com)
2 points by Ajs1 7y ago|1 comments
24.
Fortnite World Cup handed out $30M in prizes, cementing its spot in the culture(techcrunch.com)
2 points by Ajs1 7y ago|0 comments
25.
by Ajs1 7y ago
no disagreement, I subscribe to 3 of the 4.
26.
by Ajs1 7y ago
regardless of how you view the criminal justice system, the nationwide backlog of rape kits feels unconscionable. These are not quality of life or minor drug offences, so I'm surprised there isn't more public outrage.
27.
Using ML to auto-learn changing log structures(zebrium.com)
4 points by Ajs1 7y ago|0 comments
28.
by Ajs1 7y ago
Surprising stats. I’ve been aware of mech Turk a long time, but did not realize average pay per task is quite that low
29.
by Ajs1 7y ago
Good quality news
30.
by Ajs1 7y ago
Nice summary of the (suboptimal) tradeoffs. Perhaps AWS is waiting for some customer push to offer better options.

More ›