Operations | Monitoring | ITSM | DevOps | Cloud

Datadog, the observability platform used by thousands of companies, runs on dozens of self-managed Kubernetes clusters in a multi-cloud environment, adding up to tens of thousands of nodes, or hundreds of thousands of pods. This infrastructure is used by a wide variety of engineering teams at Datadog, with different feature and capacity needs.

The extended Berkeley Packet Filter, eBPF has resulted in an ecosystem of new tooling that allows running programs in the linux kernel without loading kernel modules. eBPF seeks to do this safety within a secure sandbox environment and has been a boon to observability and security.

Discover how Datadog APM & Continuous Profiler can help you identify the most resource-intensive and time-consuming lines of code. Through always-on production code profiling and thread-level visibility, you can reduce application latency, optimize your code's CPU and memory consumption, and minimize cloud costs.

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. This month, we put the Spotlight on a trio of serverless monitoring releases..

Hear from a Statsig software engineer how Datadog’s platform helps them better manage their increasing data volume and improve the experiences of their global end users.

Datadog Cloud Cost Management brings fine-grained cost data that’s scoped to teams and services onto the same monitoring platform engineers already use, so costs can be understood alongside observability data and made actionable.

Learn how to debug slow p95 requests or timeouts using the new timeline feature of Datadog's Continuous Profiler.

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. This month, we’re recapping DASH 2023..

Understanding the health and user experience of your mobile application is critical in order to avoid user frustration, understand application crashes, and reduce bugs mean time to resolution. To help with that task, Datadog has a mobile monitoring solution that allows developers to better understand and improve their application. But what are the things to take into account when building observability mobile SDKs? How can we gather the right telemetry without affecting the underlying application?

Datadog provides full visibility into your AWS-hosted infrastructure and applications at scale. This demo shows you how Datadog monitors and secures your AWS environment in minutes with powerful observability features, such as preconfigured dashboards and monitors, faster troubleshooting with machine learning, and a single unified platform.