Operations | Monitoring | ITSM | DevOps | Cloud

Andre Foken, CTO and Olaf van Zandwijk, Security Officer of Nedap Healthcare discuss how they’ve used Datadog to maintain high uptime across their environment—even as it scaled from a single application to multiple interdependent applications.

Michael Krenz, Senior Director Global Engineering at Delivery Hero, discusses how Datadog enabled their business to scale without sacrificing visibility.

Frank Schlesinger, CTO at Orderbird, discusses how Datadog helped Orderbird’s Engineering team debug and resolve a critical outage

Frank Schlesinger, CTO at Orderbird, discusses how having a unified monitoring platform allows DevOps teams to follow requests from the front-end to the back-end when resolving issues

Jamie Doheny, Director of SRE at Braze, discusses how APM flamegraphs and latency SLOs help him deliver higher reliability for enterprise-scale systems.

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.