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Chronosphere
Enterprise Software
Chronosphere is a New York-based observability company that provides observability software for managing metrics and telemetry generated by cloud-native applications.
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Chronosphere was founded in 2019 by Martin Mao and Rob Skillington, engineers who had previously built and operated observability infrastructure at Uber to handle the enormous scale of monitoring data generated by Uber's own large, complex microservices architecture, experience that directly informed Chronosphere's approach to building observability software specifically designed for organizations operating at similarly demanding scale. Observability, broadly referring to the metrics, logs, and traces that let engineering teams understand what's happening inside complex, distributed software systems and diagnose problems when something goes wrong, becomes an increasingly difficult and expensive technical challenge as companies adopt cloud-native, microservices-based architectures that can generate orders of magnitude more monitoring data than traditional, simpler application architectures. Chronosphere's platform is built around efficiently managing and controlling the cost of this metrics data at scale, an important differentiator given that many organizations adopting popular open-source observability tools like Prometheus have found that the volume of monitoring data generated by large-scale cloud-native architectures can produce surprisingly large and difficult-to-predict infrastructure costs if not carefully managed. The company's platform gives engineering and platform teams tools to control which metrics are retained at full granularity versus aggregated or dropped, helping manage the fundamental tradeoff between comprehensive observability and the cost of storing and querying that data at scale, alongside more traditional dashboarding, alerting, and incident response tooling common to observability platforms. Chronosphere's target customers tend to be larger, more technically sophisticated engineering organizations operating complex, high-scale cloud-native infrastructure who have found that generic or self-managed open-source observability tooling becomes difficult to operate cost-effectively at their scale. The company has raised substantial venture funding from investors including Greylock Partners, General Atlantic, and Lux Capital, reaching a valuation exceeding $1.5 billion, competing with observability vendors including Datadog, New Relic, and Grafana Labs.
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