The absence of a common/standard practice for logging across different software platforms makes it difficult to draw meaningful insights from logs. Organizations need an approach to collecting large volumes of data, generating insights, and visualizing. Coforge log analytics solution can provide the required architecture and intelligence to resolve your problems quickly.
Logs are generated by various applications sitting on top of programmable devices. ( application, with its unique technology architecture, has a different mechanism to generate and store logs. This creates many different formats and a vast repository of logs to handle.
The function of a log analyst is to unify these disparate formats into a common reporting language. The reports thus generated represent different activities of the heterogeneous environment:
Coforge uses Opensource Elastic Stack to synthesize insights from the huge volume of logs for business critical functions.
Elastic Stack is a widely accepted solution in the industry and we at Coforge have highly experienced SMEs and engineers to understand, implement, maintain, and customize it as per client’s need. The engineers ensure:
On the other hand, the team of SMEs ensure:
The Coforge team creates a highly customizable dashboard with graphically rich views. Log searches can now be leveraged by selecting KPIs and other analytical metrics. Visualizations can be added to focus on certain categories, products, or demographics.
Let’s assume that our data includes information about customers of an airline. By selecting segment data, we can find out exactly which segment is most engaged with the organization. To capture relevant data, we set the following fields and filters: