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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.

San Francisco-based Coralogix, which was founded in 2014, provides AI analytics solutions for a host of software development 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. Scaling from hundreds to millions of logs — with integrations for popular languages and platforms like Docker, Python,

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