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NodeJS Instrumentation - Adding Custom Tags to Spans | Datadog Tips & Tricks

In part 1 of this 4 part series, you’ll learn how to use manual instrumentation to add additional detail to traces. We’ll add new tags, or attributes, to the spans generated by our NodeJS application, allowing for more insightful data visualizations in App Analytics.

NodeJS Instrumentation - Creating Custom Spans for Method-Level Visibility | Datadog Tips & Tricks

In part 2 of this 4 part series, you’ll learn how to instrument your NodeJS application to capture custom method-level spans, allowing visibility into how specific methods behave in your application. Flame graphs allow for deep insight into the performance of your code. During instrumentation, we can capture custom spans for deeper layers of visibility in the resulting flame graphs. In this video, we use instrumentation to capture a method-level span, allowing us to see the performance of that specific method in our flame graphs in the Datadog UI.

NodeJS Instrumentation - Adding Analyzed Spans for Improved Data Analytics | Datadog Tips & Tricks

In part 4 of this 4 part series, you’ll learn how to add Analyzed Spans to your traces to open up even more data search and aggregation capabilities via App Analytics. In this video, we will walk you through how you can turn any span into an Analyzed Span. Analyzed Spans function like the root spans of a trace, allowing us to turn the tags embedded in them into facets for advanced data aggregation and searching in App Analytics. You can check out how to add tags to spans—and how to utilize them in App Analytics—in our first video of the series here.

Effortless Load Testing | Simon Aronsson (Load Impact / k6)

Load testing and performance monitoring used to be really hard and bothersome. Not any more! With modern code-first tools and visualisation, being on top of your service scalability and performance is no longer something that's reserved for the QA department. According to research by Google, 53% of mobile website visitors will leave if the page load duration exceeds three seconds. Armed with this knowledge, We'll go through how to implement load tests and performance monitoring around it as well as how to efficiently visualize it.

How to Use the Datadog CLI on Kubernetes | Datadog Tips & Tricks

In this video, you’ll learn how to use the Datadog command line interface (CLI) on Kubernetes to perform key tasks, including checking the status of the agent and viewing custom checks. The Datadog Agent CLI allows you to check the status of the Agents running on the pods in your Kubernetes clusters. It also provides various helpful commands, including starting and stopping the agent, viewing configured custom checks, and sending flares to the Datadog support team to automatically open troubleshooting tickets.