Software development is a vast field and developers face various challenges across all applications, irrespective of the domain and platform. Identifying and analyzing the cause of the issues during testing and deployment is a cost-intensive activity that requires lots of effort and time. To debug the issues, developers rely on the application logs for causal analysis. However, there are various challenges in analyzing the issues through logs.

HCLTech has developed an AI-based solution called iLA (Intelligent Log Analyzer) that leverages the historical log data of any application and acquires the knowledge gained from analyzing past hurdles into the learning model. This model can automatically analyze application logs while also finding anomalies and the cause of the problem. The human intelligence integrated into the model automates the analysis of defects and helps in reducing the turnaround time.

In this paper, we will look at the Log Analyzer solution that learns from the available historical application log data and finds the anomalies and the root cause of the reported bugs in the software.

To know more about Log Analyzer solution, download the whitepaper now.