Coralogix, which analyzes software logs with AI, today announced $25 million in new funding and launched a real-time analytics solution that allows customers to pay according to data priority instead of volume. This allows them to get queries, alerts, and machine learning capabilities without using storage. About 50% of logging statements don't include any information about critical things like variable state at the time of an error, according to GitHub and OverOps surveys. That may be why developers spend an estimated half of their time on troubleshooting and bug-fixing. Founded in 2014, San Francisco-based Coralogix provides AI analytics solutions for a host of software development challenges.

Canvasing software logs is tricky business when you're juggling multiple dev environments. About 50% of logging statements don't include any information about critical things like variable state at the time of an error, according to GitHub and OverOps surveys, which is perhaps why developers spend an estimated one fourth of their time -- more than a full day out of the work week -- on troubleshooting. This unfortunate state of affairs motivated Lior Redlus, Ariel Assaraf, and Guy Kroupp to found Coralogix in 2014. The San Francisco-based startup provides AI-imbued analytics solutions addressing a host of software delivery and maintenance challenges. Its suite automatically clusters log records back to their patterns and identifies connections among those patterns, forming baseline flows for comparison and future study.