Case Study

Leading FinTech Lending Platform Gets Real-Time Infrastructure Monitoring in a Single Dashboard

Customer: Leading Fintech Lending Platform 

Industry: Financial Services

Business Pain:

A leading FinTech lending platform uses multiple cloud provider services and multiple service integrations to gather data.  These service endpoints alone are varied, and daunting to proactively monitor. They also integrate with third-party APIs to get credit reporting data from the Credit Bureaus. API response times are integral in their decision-making process and a delay in the order of minutes can cause them to lose substantial business. If the UI or any of the backend Web API processes do not return results quickly, or worse, totally fail to return data, there  could be multi-million dollar implications.  

Key Pain Points:

  • Loss of revenue from outages
  • Multiple backend services to monitor
  • No current insight to quickly determine the root cause of the issues
  • Multiple API response times to monitor proactively

How we fixed it:

TekStream implemented Splunk Observability Cloud (previously SignalFX) as a metrics and performance tool.  The near real-time infrastructure monitoring has the potential for overseeing a large number of services, especially Docker containers as they spin up and down in Amazon Web Services (AWS) and Google Cloud Platform (GCP).  Infrastructure monitoring of AWS and GPC can be aggregated into a single dashboard, with the ability to filter by either standard or custom tag systems.  The main thrust however is the ability to quickly determine those bottlenecks in querying and returning data about individual service and API calls via robust application process monitoring.

The customer continues to leverage Splunk as their primary tool to proactively monitor credit bureau APIs to effectively manage and reduce downtime. Splunk alerts help them respond to downtime faster and keep dollar loss to a minimum.