Cloud Monitoring & Observability — Infrastructure, Applications, and Logs at Scale
The consensus on Datadog: Choose Datadog if you want challenging technical problems at scale, excellent stock upside, and a ship-fast engineering culture — but be ready for a demanding pace.
Founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, Datadog has grown from a scrappy monitoring startup into the dominant cloud observability platform. The culture is deeply engineering-driven with a strong bias toward shipping fast and iterating. Teams operate with high ownership and are expected to move quickly. The company rewards builders who thrive on solving hard technical problems at massive scale — think processing trillions of data points daily across millions of hosts.
Major open source contributor: the Datadog Agent, dd-trace libraries, and integrations are all open source. Active contributor to the OpenTelemetry ecosystem.
Publishes deep technical content on distributed systems, observability at scale, and performance engineering. Read the blog →
Product-oriented teams with full ownership from design to deployment. Engineers work closely with product and customers. Ship-fast culture with weekly releases.
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