The problem: - searching through and filtering your logs using keywords is tedious at best - semantic search is a step up, but still has no real intelligence regarding your query or your server logs - engineers spend around 10 hours per week sifting through logs to investigate issues and uncover insights
The solution: - Icosic AI is an intelligent search engine for your all of your company's server logs - We use LLMs to intelligently understand your search query and intelligently understand all of your logs - This gives you insights and answers that previously would take your engineers hours to uncover - For example, a fintech company's engineer could ask "Why has there been a spike in transaction failures this morning?" - Another example: "Tell me all instances where we got a high latency warning within 2 minutes of a transaction failure"
The time and cost savings: - A typical example is a company with 100 engineers, where each of them spends 2 hours a week looking through logs to investigate issues and uncover insights and information - If they're paid $70/hour, that's $70 * 2 hours * 4 weeks * 100 engineers = ~ $56,000 / month searching through logs. Our search engine does ALL of that for you.
More: - You can integrate with your existing observability platforms like Datadog and Splunk to use logs that you've indexed there - You can also just use logs that you've got on a cloud server somewhere at a specified path, for example /var/log/example.log - You can use unstructured or structured logs - or both!
You can start playing around with the product using our demo logs right away, no sign in required.
Feedback would be much appreciated!
What other integrations would you like to see? Let me know in the comments!
And feel free to check out our demo, which is on our landing page: