Developed Intelligent Health Check & Auto Healing System for a Global Telecom Giant

June 29, 2022 | Published by

Business Problem

Our client is a leading Telecom Player with various servers at multiple locations who did not have an automated solution to detect and fix anomalies, monitor the server health parameters. They were engaged in manual processes to monitor the systems, which was time consuming, prone to human error and resulted in huge monetary losses during downtime. The customer wanted to automate the anomaly detection process to minimize down time and increase monitoring effectiveness.

PureSoftware Solution

PureSoftware, with its expertise in this area, saw an opportunity to automate the anomaly detection process through a built-in Machine Learning (ML) ability that learns about anomalies, understands their patterns, analyses them, and predicts them before they occur. We also developed neural network-based models on the historical time series data, which helps the system to predict anomalies well in advance and perform self-healing. The application was able to perform the following functions:

  • Performs server health parameter check
  • Runs solution scripts to auto-fix defects
  • Send health status updates
  • Show analytical view in Graphs/Charts of the anomaly trends, health status, etc.
  • Runbook Automation
  • Auto Monitoring & Reporting
  • Auto Inventory Management
  • Auto Provisioning

Results

  • As a result of the new process, our client saw reduction in monetary loses significantly because of automatic anomaly prediction and remediation.
  • Our client experienced 100% detection in anomalies and a close to 100% system uptime directly attributed to the Elastic search AI enablement assistive learning Process and error correction mapping.
  • Automatic ticket management
  • The company now continues to experience improved anomaly prediction accuracy and significant time savings.
  • Detection of corrective threshold.