Uptime is a poor measure of reliability. Agile development’s fail-fast approach coupled with distributed applications and dynamic infrastructure requires us to have a better understanding of reliability.

See how Datadog brings together metrics, traces, logs, UX testing, and more in a single pane of glass. See inside any stack, any app, at any scale, anywhere.

Hear from Segment co-founder and CTO Calvin French-Owen about how Datadog helps Segment ensure reliable data delivery for thousands of customers.

The BBC is the world's largest broadcaster, and is home to a wide range of popular services. Ensuring service availability is a key concern of the BBCs product teams, and they’ve invested in operational controls to help them achieve this. Their portfolio is comprised of thousands of services that communicate together to deliver live TV and radio, on-demand content, and a vast high-traffic website.

To serve over 28 million subscribers, Hulu operates thousands of microservices. All of those microservices are backed by Donki—a Heroku-style, Docker-native platform that has grown from handling hundreds of requests per second to hundreds of billions of requests per day.

In the last year, OpenAI trained a team of five neural networks to defeat the reigning world champion esports team, achieved state-of-the-art results on a variety of domain-specific language modeling tasks, released a public demonstration of combining multiple musical styles using unsupervised learning, and more.

Openfit is a new fitness streaming service by Beachbody that streams hundreds of thousands of hours of video to tens of thousands of users each month with a 100% serverless architecture. From development to testing and production workloads, Reza Javidi (Director of DevOps & SRE) shares best practices his teams have developed for scaling and securing serverless workloads—both in terms of traffic and development velocity.

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.