shinryudbz

7 ms·

61.
TikTok assets can't be sold without China's approval(bloomberg.com)
3 points by shinryudbz 6y ago|1 comments
62.
Lebanon's Crippling Economic Crisis(nbcnews.com)
3 points by shinryudbz 6y ago|1 comments
63.
Hertz stock halted pending news around controversial stock sale(cnbc.com)
2 points by shinryudbz 6y ago|0 comments
64.
Covid-19 Open Research Dataset(pages.semanticscholar.org)
219 points by shinryudbz 7y ago|47 comments
65.
How I hacked language learning to jump-start my Japanese listening skills(medium.com)
4 points by shinryudbz 7y ago|0 comments
66.
Our challenges in building a “useful” anomaly detection system(engr.overseerlabs.io)
2 points by shinryudbz 9y ago|0 comments
67.
by shinryudbz 9y ago
Thank you :) Yes, the use of multivariate analysis was a crucial insight for me, and I'm hoping these ideas will push the monitoring community forward!
68.
by shinryudbz 9y ago
So it turns out that these metrics don't exactly follow a Gaussian distribution, so it's hard to get these algos to work right out the box. Additionally, speed was an important component for us (for training and evaluation), so we
69.
by shinryudbz 9y ago
Well, there's a lot of details and I don't think I can cover it all here, but if you're interested in the general framework that I used to approach this problem, take a look at this blog post I wrote last year: https:/&
70.
by shinryudbz 9y ago
Absolutely! Currently all our large deployments are on-prem. Please reach out to me and we can discuss further: upal@overseerlabs.io.
71.
by shinryudbz 9y ago
Glad you liked it :) It turns out that modeling operational metrics is a lot harder than I expected, so there was quite a bit of work we had to do to get the algos to work.
72.
by shinryudbz 9y ago
Great question! Being an engineer myself, this was a personal pain point and I wanted to solve it, but the key question was whether or not machine learning would help. Thus, most of the time was spent deploying the tech with early adopters,
73.
by shinryudbz 9y ago
Hi everyone, I'm one of the founders of Overseer. We built this tool because we noticed that engineers had to dig through many dashboards when diagnosing an incident. We felt this process could be streamlined through the use of machi
74.
Show HN: Using machine learning to recommend dashboards during incidents(beta.overseerlabs.io)
52 points by shinryudbz 9y ago|27 comments
75.
The DevOps tool arsenal: Results from ~100 DevOps/SRE surveys(engr.overseerlabs.io)
3 points by shinryudbz 9y ago|0 comments
76.
Clouds, containers and microservices: infra and arch from ~100 DevOps/SRE surveys(engr.overseerlabs.io)
1 points by shinryudbz 9y ago|0 comments
77.
Fears and favorites from 100+ DevOps/SRE surveys(engr.overseerlabs.io)
2 points by shinryudbz 9y ago|0 comments
78.
DevOps/SRE Survey Results Part 1: The People(engr.overseerlabs.io)
2 points by shinryudbz 9y ago|0 comments
79.
by shinryudbz 10y ago
Hi, I'm the founder of Overseer Labs. Companies that are data driven and care a lot about reliability seem to suffer from the "too much data" problem during an incident. Thus, we wanted to develop a tool that would help them
80.
Show HN: Using machine assistance to diagnose incidents faster(app.overseerlabs.io)
3 points by shinryudbz 10y ago|1 comments
81.
How to use machine learning to debug outages 10x faster(medium.com)
1 points by shinryudbz 10y ago|0 comments
82.
by shinryudbz 10y ago
Thanks for the feedback! Right now, we're extracting data from New Relic/Librato, so the code expects JSON format. However, the plan is to write plugins to convert arbitrary data formats to something that the core ML stack can op