Who
A UK-based mobile operator
What
The operator used the ELK stack to monitor middleware service response times, but the process was tedious, error-prone, and relied heavily on manual observation. Gradual performance degradation often went unnoticed for days, eventually breaching SLAs and impacting other services. This highlighted the limitations of human monitoring in a complex environment.
How
Torry Harris Integration Solutions (THIS) introduced its 4Sight machine learning solution to detect gradual response time increases, sudden 10% fluctuations, and SLA breaches. By identifying these patterns early, 4Sight minimized manual monitoring and helps maintain SLA compliance.
Results
- Cost-effective and efficient solution: The Kafka cluster ran on a commonplace server with 32 Gigabytes of RAM and was able to process about 300 transactions per second.
- The machine learning capabilities were introduced into the existing ELK environment without any disruption and rapidly detected and sent alerts about anomalies based on service response times.
- Automatic monitoring of the different services ran 24x7, requiring minimal human interaction and freeing up the workforce.
- Early detection of problems in any service allowed developers to implement fast fixes, reducing pressure on the server and preventing downtime.
Download the Case Study
CAPABILITIES APPLIED
Offshore IT Operating Model
API Enablement
Managed Services
Platform Scalability
Omnichannel Integration
Business Continuity Planning
Agile Service Delivery