Case Study: Paytm Insider cuts logging and monitoring costs by 75% with Grafana Loki

How Loki Helped Paytm Insider Save 75% of Logging and Monitoring Costs

Paytm Insider, a popular event-ticketing platform in India, was struggling to keep up with rapidly growing traffic and log volume, especially during major on-sale events. The team needed always-on logs to debug production issues, but its logging and monitoring stack was becoming expensive, fragmented across CloudWatch, Prometheus, and ELK, and prone to log drops and delayed visibility. Grafana was already part of their stack, and the team began looking for a more centralized approach using Loki.

Grafana helped Paytm Insider implement Loki with promtail, Grafana, and Prometheus to centralize logs and metrics in one place. Deployed on Kubernetes with scalable AWS backends, the solution gave the team a unified view for alerting and troubleshooting, cutting average latency-debugging time from 30 minutes to 10 minutes and reducing logging and monitoring costs by nearly 75%. Grafana’s Loki also proved reliable during traffic spikes, with no log or metric drops even during major ticket sales.

Paytm Insider

Aayush Anand

DevOps Engineer