Coralogix, a company that uses A.I. for managing log data, raised $25 million in a Series B funding round. This round brought the company’s total raised to $41.2 million.
Founded in 2015, Coralogix offers a machine learning-powered log analytics solution to make massive unmanageable log data manageable for many companies. Due to open source code and cloud computing, many companies create large-scale production environments and, in the process, generate a large amount of data. This log data is complicated to manage. Coralogix’s solution automatically analyzes and clusters millions of log records back into their patterns and finds connections to form each software’s baseline flows individually.
Coralogix also launched ‘Streama,’ a simple and powerful real-time analytics solution that offers users the ability to prioritize their logs and define how the data is routed and stored based on its function and importance. Streama will classify the logs as high, medium, and low priority corresponding to the data’s functionality. The users will allow customers to pay according to data priority instead of the volume of data. Thus, Streama drastically reduces costs while also improving the ability to query, monitor, and manage the data.
Coralogix claims to have a partnership with over a thousand companies, including Masterclass, Monday.com, BookMyShow, Postman, and PayU. It helps to grasp their log data and proactively solve their production problems. It also suggests that Coralogix customers save costs of up to seventy percent.