Coralogix
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Niv Dror

Coralogix 2.0 - Machine learning powered log analytics, made for startups

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Coralogix 2.0 is a machine learning powered log analytics platform designed to accelerate the software delivery cycle by contextual automated insights.

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Ariel Assaraf
Maker
@Nivo0o0, Thanks for hunting us! For startups and mid-size companies, Coralogix is the only proactive log analytics platforms out there, due to its ability to automatically cluster log records back into their patterns and detect proprietary software flows. Coralogix 2.0 is a product of all the feedback and conversations we've gathered from over 60 customers, we've rebuilt our product to not only be the most advanced machine learning powered log analytics platform but also to be the most delightful. *Click the gif to view it in proper quality :)
Oren Rubin
@arielassaraf Does your pattern and flow discovery features require predefinitions or changing my logs?
Ariel Assaraf
Maker
@shexman Hey :) No it doesn't, our algorithm handles log data as is. Simply send us your logs just like you generate them today, in 24 hours we will discover all your log patterns and 72 hours later we will finalize building your flows and start alerting you on flow anomalies. Hope that answers your question.
Naomi Assaraf 🔥
I would be lost without @coralogix. And the new dashboard makes it so easy! 🙌Great work, guys! 💯
lior redlus
Maker
@coralogix always a pleasure to serve you @nassaraf :)
Naomi Assaraf 🔥
@iamredlus always a pleasure to be served!
Navot Volk
Great product finally at PH.
Ariel Assaraf
Maker
@navotvolk Thank you! Make sure you use our promo, it is valid also for existing Customers :)
lior redlus
Maker
Great hunt, @Nivo0o0 :) As the Chief Scientist at Coralogix I took the opportunity of us rebuilding the platform to fine tune all our machine learning algorithms based on over 1 petabytes of log records we have analyzed. Coralogix 2.0 now provides insights which are more precise along with new powerful tools for a more proactive approach to production monitoring. I'd be happy to hear your feedback and answer your questions :)
yoni farin
Maker
@iamredlus @nivo0o0 @ Awesome job Lior! Just look at this beautiful anomaly: https://ph-files.imgix.net/78ec6... Is there anything prettier than that? well done! @arielassaraf @guykroupp
Senad Dizdar
Thank you @coralogix. You have helped my company @cloudhq_net grow to over 200k users now. This product saves me so much time, and your new dashboard is very easy to understand! I can even take a day off if I need to without constantly testing my code. This is excellent. You let me breathe.
Ariel Assaraf
Maker
@sdizdar1 @coralogix @cloudhq Thank you! this is exactly the feedback that keeps us motivated :)
Gil Bahat
The AI capabilities set coralogix apart from other products. It's a major differentiator to have OOTB proactiveness rather than having to set up queries yourself
Ariel Assaraf
Maker
@gil_bahat That was one of our goals when we designed the system: saving you crucial time so you can focus on developing your product :)
lior redlus
Maker
@gil_bahat We work hard to provide the most cutting edge machine learning tailored to your systems. Many more of these are planned for the near future!
Philip Kushmaro
@arielassaraf The product looks awesome, but I am curious about what is exactly the machine learning aspect of it?
Ariel Assaraf
Maker
@philipkushmaro Well, when we looked at Log data we saw that it is actually not Big Data, it's just the same log patterns arriving millions of times only with different variables. So the first step of our algorithm is to cluster millions of log records back into their original patterns. Once we have those patterns we find connections between them to form sequences of patterns, which are the software’s normal flows. When we identify an abnormal behavior of a pattern or flow, we automatically notify our users allowing them to handle a few log records on a specific minute. That instead of drowning in millions of records and relying on searching and endless slicing and dicing.
Uri Eliabayev
A must have product for every startup or company. Using Machine Learning for better understanding logs will benefit many companies. Keep the hard work guys!
Ariel Assaraf
Maker
@urieli17 Thank you! always a pleasure to find the needle in your haystack
yonatan doron
@arielassaraf What integrations do you guys support? And what about 3rd party ? (not clear from the website...)
Ariel Assaraf
Maker
@jodoron Hey! We currently support Java (via SDK, Log4J or Logback), Node.js (Via SDK, Winston or Bunyan), .NET (via SDK Log4NET or NLOG), Ruby/RoR and Python. Regarding 3rd party SW support we expose a REST API which is pretty simple to follow to send your data from anywhere via HTTPS and we also support rsyslog and SyslogNG to ship logs from any server. Hope that answers your questions. *Very soon we are addind FluentD and Logstash.
yoni farin
Maker
Thanks @nivo0o0! As the VP of engineering at Coralogix my goal was to take this frustrating world of Log analytics and shed some light on it. Make logging faster, more intuitive, and as a result, help our customers to proactively monitor their system I am excited with the results and the recent feedbacks we got from our customers and I hope you will enjoy Coralogix too.
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