Operations | Monitoring | ITSM | DevOps | Cloud

This Month in Datadog: Dynamic Instrumentation, Log Pipeline Scanner, Network Device map, and more

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 Dynamic Instrumentation..

How Autodesk engineers better service and own their infrastructure.

Morgan Goose, Autodesk, shares how he and his team have democratized observability and made it a default offering for all their engineers. Autodesk is a global leader in software for people who design and make the world. That includes software for architects, builders, engineers, 3D artists, and production teams. To ensure the best customer experience, Autodesk has partnered with Datadog and is taking advantage of products like DBM to quickly identify and maintain the systems they instrument.

Datadog on Design Systems

Over the last five years, the Datadog platform has grown. We added Application Performance Monitoring to complement our core infrastructure monitoring product, Log Management, Synthetic and Real User Monitoring, and more. For an enterprise software platform to be successful, the whole has to be greater than the sum of its parts. In Datadog’s case, this means users must be able to connect different types of data, pivot seamlessly from one context to another, and follow the thread of an investigation wherever it might lead.

Transform Your Customer Experience with DevOps Collaboration

Learn how end-to-end monitoring and observability enable enterprises to break down team silos and deliver industry-leading experiences for their customers and achieve business benefits such as: Improved business resilience by identifying and resolving IT risks faster before they result in customer service outages Increased competitive standing with DevOps and shift-left best practices to accelerate software releases.

Scaling Down Kubernetes Clusters

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.

Provisioning and Autoscaling

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.