Rob Boll and Laurent Bernaille share their experiences in running and building the Kubernetes clusters that power Datadog.

Daniel Rieder, Senior Manager of Zendesk's Performance and Capacity Planning team, uses Datadog's Trace Search & Analytics to optimize capacity usage in Zendesk's hybrid infrastructure.

The Service Map automatically decomposes your application into all its services and dependencies so you can visualize your architecture in real time.

With anomaly detection, outlier detection, forecasting, and composite alerting, Datadog enables you to reliably alert the right people at the right time. But what happens when latency starts to increase, or error rates spike, in areas of your application where you haven’t set alerts? That’s what Watchdog is for.

Traditional logging solutions require teams to provision and pay for a daily volume of logs, which quickly becomes cost-prohibitive without some form of server-side or agent-level filtering. But filtering your logs before sending them inevitably leads to gaps in coverage, and often filters out valuable data.

As our applications and services become more complex being able to visualize their interdependencies becomes key. In this session Ashley Miller and Willie Yao share how Datadog's Service Maps are helping Airbnb's team create context in an ever growing microservices based environment.

Like any good e-commerce company, Wayfair collects a significant amount of data to use for business intelligence. Until recently, the majority of this data was crunched off-hours in preparation for business use the next day. We also create a great deal of data about our applications and infrastructure in real time.

Uptime matters. At Intercom, we believe that keeping our product online and working well at all times is critical to the success of our business. Out-of-hours on-call is inherently disruptive to your life as an engineer. You need to be ready to respond quickly and competently to an alert about something being broken.

Search, filter, and analyze APM data using any attribute from your infrastructure, applications, customers, or business.

Watchdog uses machine learning to sniff out potential performance problems in your environment without any setup or configuration.