Case Study: Coralogix accelerates log analysis and root-cause detection with Microsoft Azure Machine Learning

Startup uses machine learning to identify programming errors with log analytics

Coralogix, a startup that provides log analytics software, faced the challenge of helping companies efficiently identify complex programming errors. The company recognized that software engineers were wasting over 70% of their resolution time manually sifting through unstructured log data instead of fixing bugs. They sought to build a solution that could automatically analyze these logs to find anomalies and their root causes, a task that required advanced machine learning capabilities they did not possess in-house.

Microsoft provided the Azure cloud platform and its machine learning technology to power the Coralogix solution. This enabled the startup to process massive amounts of log data with complex algorithms to automatically detect errors and provide deep insights. By using Azure, Coralogix gained a credible, reliable, and scalable infrastructure that met customer demands for hybrid cloud support. The solution allowed Coralogix to grow exponentially, offering its customers a powerful defense for their production systems that traditional log analysis methods could not match.

Coralogix

Lior Redlus

Chief Scientist