In the course of its eight years of existence, Datadog has grown its real time metrics systems that collect, process, and visualize data to the point they now handle trillions of points per day. This has been based on an architecture combining open source technologies, such as Apache Cassandra, Kafka, and PostgreSQL, with a lot of in-house software for in-memory data storing and querying.

Traditional logging solutions force you to make trade-offs between visibility and cost. Datadog's Logging without Limits™ enables you to simply and cost-effectively send all your logs to Datadog, so can get full visibility without the trade-offs.

You can now analyze and map network traffic between teams, services, data centers, security groups, or any other subset of your environment. Visualize high-level traffic flows, and drill down in a few clicks to granular details about individual components or services. Network Performance Monitoring is fully integrated with the rest of Datadog, so you can seamlessly pivot to correlated metrics, request traces, and logs for troubleshooting.

Conor Farrell from TERMINALFOUR discusses how Datadog Log Management helps his team resolve client issues within minutes and double their customer satisfaction.

Conor Farrell from TERMINALFOUR discusses how Datadog helps his team rightsize instances and save 20% in cloud costs.

Modern Monitoring and Observability with Thoughtful Chaos Experiments by Datadog and Gremlin

Join product manager Stephen Lechner as he introduces Datadog’s newest log management features, from nested pipelines to deep-linking log events and traces.

See how product manager Priyanshi Gupta uses Datadog’s APM and tracing tools to troubleshoot a simulated on-call workflow. Plus, learn about the exciting new additions to Datadog’s APM and distributed tracing offerings.