Modern systems and applications generate high volume log streams that become more and more expensive to store in order to query for troubleshooting and analytics purposes. In this video, Nils Bunge describes how to dynamically identify and store valuable logs from those streams while generating accurate long term analytics on 100% of the data.

In this video Michael Gerstenhaber gives a review of Distribution Metrics and then expands into Metrics without Limits.

Working with complex systems means that even well-written code can behave in unexpected ways, leading to outages and critical issues. Jason Yee shows you how to limit the effect of unforeseen issues using canary deploys.

Watch product manager Meghan Jordan as she discusses and demonstrates how Datadog’s monitor uptime and SLO widget can help you track your SLO performance, watch your error budget, and provide important visibility into the status of your SLOs and SLIs.

Your applications and infrastructure components rely on one another in an increasingly complex fabric, regardless of whether you run a monolithic application or microservices, and whether you deploy to cloud infrastructure, private data centers, or both. Virtualized infrastructure enables developers to respond to arbitrary scale—and creates dynamic network patterns that aren’t well matched to traditional network monitoring tools. To provide visibility into every component in your environment, and all the connections between them, Datadog is introducing Network Performance Monitoring for the cloud age. Miranda Kapin of Datadog tells you more.

Datadog announced a beta for native Datadog APM in serverless environments, starting with AWS Lambda. When running applications in a managed environment, it's especially important to be able to track down the sources of slowdowns and bottlenecks. Datadog APM for serverless means you'll always have your finger on the pulse of your application health, and your code doesn't need to change as your teams adopt serverless.

Service mesh is quickly becoming a standard for organizations making the transition to a microservice environment. As companies make this shift, there are three key considerations for deploying an effective service mesh: Networking, Observability, and Reliability. This webinar will focus in on the Observability component of service meshes, specifically tracing. Watch this webinar to learn how HashiCorp Consul and Datadog are collaborating to help users implement and monitor their service mesh deployments.

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.

Peter Gradwell and Rob Leslie discuss how bringing distributed log files into a single platform has helped Gradwell’s support teams identify, analyze, and resolve issues more quickly.

See the highlights from the recent Dash 2019 conference by Datadog!