Case Study: a large streaming company achieves reliable, scalable observability with Last9

Reliable Observability for 50+ million concurrent live-streaming viewers

Last9 partnered with a large streaming company that delivers live events like major sporting matches to over 25 million concurrent viewers. The customer was struggling with an in-house observability platform built on VictoriaMetrics and InfluxDB, which could not handle the massive scale and concurrent access from thousands of dashboards. This led to frequent downtime, high engineering toil, and an inability to retain critical data for more than a month, all of which threatened revenue and viewer satisfaction during crucial live events.

The solution was Last9's managed time series and events warehouse, which was adopted with zero integration effort thanks to its support for open standards like Prometheus and OpenTelemetry. Last9 provided 99.99% write and 99.95% read SLA guarantees, automatic data tiering for long-term retention, and a 50% reduction in write latency. This eliminated the engineering toil of managing the database, resolved concurrent access issues, and reduced the customer's total cost of ownership by 50%.