Last9.io is a startup specializing in cloud-native monitoring solutions designed to help businesses manage their time series data efficiently. The company offers a managed time series data warehouse called Levitate, which is trusted by Site Reliability Engineers (SREs) to improve system uptime and reliability. Levitate is compatible with open standards like Prometheus and OpenTelemetry, making it versatile and easy to integrate with existing systems.

The primary market for Last9.io includes large enterprises and tech companies that require robust monitoring solutions to handle high cardinality data—data with many unique values, which can be challenging to manage. These clients often operate in sectors like media streaming, e-commerce, and other high-traffic online services. For example, Disney uses Levitate to ensure seamless streaming for millions of concurrent users.

Last9.io operates on a Software-as-a-Service (SaaS) business model. Clients subscribe to Levitate, paying a recurring fee based on their usage and the scale of their monitoring needs. This model provides a predictable revenue stream for the company while offering clients the flexibility to scale their monitoring infrastructure as needed.

The company makes money by charging for its fully managed service, which eliminates the need for clients to invest in and maintain their own monitoring infrastructure. This not only reduces the total cost of ownership (TCO) for clients by up to 50% but also allows engineering teams to focus on product development rather than infrastructure management.

In summary, Last9.io provides a scalable, cost-effective monitoring solution that helps businesses manage their time series data with zero management overhead. By focusing on high cardinality challenges and offering seamless integration with open standards, Last9.io empowers engineering teams to maintain high system uptime and reliability.

Keywords: cloud-native, monitoring, time series data, SaaS, high cardinality, Prometheus, OpenTelemetry, scalability, cost-effective, SREs.