New Relic’s engineering teams use their own observability platform at hyperscale—handling over a trillion data points and 20M+ queries daily—to ensure reliability, performance, and cost efficiency. The “New Relic on New Relic” approach drives automation (auto-scaling, rollbacks), rapid issue resolution, and continuous improvement. Cross-team use cases span Kafka, networking, Kubernetes, frontend, and log management, cutting MTTR, boosting SLO adherence, and optimizing resources. Product managers leverage real-time adoption data for faster feedback and better pricing. Insights from internal operations directly enhance customer-facing features.

Join for free to read