Upstox, a stock exchange operator, faced the critical issue of server outages in their data center, causing disruptions to their business operations. Monitoring crucial parameters of each rack, such as temperature, humidity, and kW usage, was essential to prevent server downtime and financial losses.
RightWatts implemented their Deepview monitoring and alerting solution to address Upstox's challenge. Deepview enabled real-time monitoring of critical parameters within each rack, offering the following features:
  • Monitoring: Continuous monitoring of temperature, humidity, and kW usage provided immediate visibility into rack status.
  • Alerting System: Deepview's intelligent alerting system promptly notified Upstox's IT team of abnormal conditions, enabling swift action to prevent server downtime.
  • Historical Data Analysis: Deepview stored and analyzed historical data, helping Upstox identify trends, patterns, and potential risks to server performance.
  • The implementation of Deepview yielded significant outcomes for Upstox:
  • Enhanced Reliability: Real-time monitoring and proactive alerts improved overall system reliability by allowing early detection and timely resolution of issues.
  • Proactive Maintenance: Access to real-time and historical data empowered Upstox to proactively address risks and optimize data center performance through preventive maintenance.
  • Reduced Downtime: Prompt alerts and a proactive approach led to a substantial reduction in server downtime, minimizing financial losses and ensuring uninterrupted operations.
  • Improved Decision-Making: Deepview's customizable dashboards and data analysis capabilities provided valuable insights, enabling informed decisions regarding infrastructure optimization and resource allocation.
  • Cost Savings: By preventing server downtime and optimizing maintenance schedules, Upstox achieved cost savings through reduced equipment failures and emergency repairs.

  • In summary, the implementation of RightWatts' Deepview solution enabled Upstox to effectively monitor critical parameters, resulting in enhanced reliability, reduced downtime, improved decision-making, and cost savings for their data center operations.