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Coralogix raises $25 million to parse software logs with AI


Coralogix, which analyzes software logs with AI, today raised $25 million in funding. Coinciding with the fundraising, Coralogix launched a real-time analytics solution that allows customers to pay according to data priority instead of volume, so that they can get queries, alerts, and machine learning capabilities without the use of 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’s perhaps 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 addressing 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, Heroku, .NET, Kubernetes, and Java, Coralogix spotlights anomalies and affords developers access to a suite of identification, visualization, and remediation tools.

Coralogix is hosted as an Amazon Web Services app, and it hooks into Jenkins and other popular continuous integration/continuous delivery tools to ingest updates pushed to production systems. A query in Coralogix pulls up grouped results highlighting when and where something occurred, any associated parameters, and the total percentage of those occurrences within the logs.

Coralogix creates “component-level” insights from log data, in part by applying machine learning to software releases to spot quality issues. The service can enrich weblogs with IP blacklists to identify suspicious activity while issuing alerts when errors or critical log entries occur. In addition, Coralogix has an integrated security information and event management and intrusion detection system that taps machine learning to pinpoint anomalies within network packets, server events, and audit logs.

The log management market is expected to reach $1.2 billion by 2022, according to Research and Markets, and Coralogix isn’t the only one leveraging AI to surface abnormalities. Mountain View-based LogDNA raised $25 million last December to further develop its AI-powered tools that surface data to mitigate outages. And Anandot, which is based in Israel, claims it analyzed over 5.2 billion data points per day within six months to launch its log-monitoring platform.

But Coralogix has managed to grow its client base to over 1,000 brands to date, among them Lufthansa, BioCatch, Fiverr, KFC, and Caesars Entertainment. In August, it expanded to India with an onsite team to provide customers based in the country with regional server and data storage capabilities.

This latest investment brings Coralogix’s total raised to $41.2 million. New investors Red Dot Capital partners and O.G. Tech Partners coled the round with participation from Aleph, StageOne Ventures, JANVEST Capital Partners, and 2B Angels.

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