Sigma Data Systems

complicated.

Identification of the error.

Another concern was to retrieve real-time alerts for APIs.

The request & response parameter logs from various data sources increases and end up creating complexity in the software. 

The logs of requests and responses aren’t stored in one place, which enables the software analyzers to get better insights into the system.

The Solution

• Using Sigma’s ELK Stack services, tracing the APIs across all the microservice becomes easier. 
• Troubleshooting inconsistency in a specific microservice helps in identifying the error.
• Orderhive uses Sigma’s ELK services to aggregate real-time metrics.
• Using API Gateway, the service by Amazon, proved to be beneficial while implementing ELK. 
• To sort all the request & response parameter logs, Logstast was advantageous for the users. 
• Using logstash, Orderhive was also able to trace the error codes, API wise, and troubleshoot the error quicker. 
• The team of Sigma helped Orderhive to get better insights into the operations.

Results Obtained

• It improved end-user experience with faster response. 
• Users can now get the content display based on improved analytics and rules through Kibana. 

 

portal offering a range of fitness products. With the increasing growth of the app, to handle real-time reports and to get region wise insights of customers’ data, Freeletics started using the ELK Stack services by Sigma.
Problems

• With so much of data and requests, the product development team of Freeletics wasn’t able to predict the real-time reports of different products. 
• As Freelectics is a world-wide spread fitness app, it became difficult to track the data and have region-wise insights into the customers’ data. 
• With lots of features to offer the customers, having a precise feature-wise insight for product roadmap became difficult for Freeletics.
• Freeletics wanted to have a perfect understanding of its customers’ app usage patterns. The team at Freelectics wished to know that from which devices the customers’ are the using Freeletics app, and which feature of Freeletics attracts more users.
• Another information that Freeletics team wanted to have was the customer traffic analysis. By knowing the region of the incoming traffic or the features that grabbed more traffic to the app, the team at Freeletics would be able to give customizable features to its clients.

Solutions

• Signa helped Freeletics in implementing ELK Stack, that allowed Freeletics to search the data and ingest it from multiple sources for generating real-time reports of various products. 
• Using Logstash, Freeletics can track the customers’ data and graphically showcases it in Kibana, where one can filter the visualization of the data according to the region, feature, device used, or the OS been used. 
• The ELK Stack services by Sigma helped Freeletics in generating traffic analysis, which helps to provide better services to the users. 

Results

• Using ELK Stack, Freeletics has improved its product positioning.
• Now, Freeletics can easily understand the customers’ app usage pattern, can get region-wise and feature-wise insight into the users’ data.