Transforming AWS log analysis through AI-powered insights. We make it simple for developers to understand their infrastructure by chatting with their logs in plain English.
To save developers from the existential dread of deciphering CloudWatch at 3 AM. Because nobody should need a PhD in regex just to find out why their Lambda function is having a meltdown.
A future where developers stop pretending they understand CloudWatch Insights queries. Where "it works on my machine" becomes "it actually works everywhere." Where log analysis doesn't require sacrificing coffee breaks.
Two sleep-deprived engineers who've Googled "CloudWatch syntax" more times than they'd like to admit. We've accumulated enough AWS bills to buy a small island, and enough debugging trauma to fill a therapy session.
LogSense was conceived during a particularly brutal 3 AM debugging session. Picture this: production is down, coffee has gone cold, and we're staring at CloudWatch queries that look like ancient hieroglyphics. That's when we thought, "There has to be a better way... or at least a way that doesn't make us question our life choices."
We realized AWS CloudWatch is like that super smart friend who uses unnecessarily big words - powerful, but exhausting to talk to. Why memorize complex syntax when you could just ask "Why is my Lambda function throwing a tantrum?" So we built LogSense: the universal translator between you and your angry logs.
Today, LogSense helps developers worldwide avoid 3 AM existential crises. We're powered by AI wizardry and fueled by the collective trauma of every developer who's ever whispered "please work" while deploying to production. We're making observability less painful, one sarcastic log interpretation at a time.
Meet The Chaos Coordinators
Two engineers who turned their AWS nightmares into your daydream. Powered by coffee, Stack Overflow, and questionable life choices.