How to Use Custom Metrics Efficiently | Datadog Tips & Tricks
In this video, you’ll learn how to monitor a system and its custom metrics efficiently using Datadog’s interconnected metrics, monitors, and logs.
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Datadog offers a single unified platform to observe your infrastructure, applications, network flows, security threats, UX, and more. For full visibility, you can seamlessly navigate between metrics, traces, and logs. See inside any stack, any app, at any scale, anywhere.
Exclaimer: Shortening the lengths of incidents with Datadog
Hear how Matt Hodge from Exclaimer leverages Datadog Log Management to migrate away from a homegrown solution and find one platform to manage dev and ops logs. Through deep integrations with Microsoft Azure, Exclaimer is able to gain rapid visibility into their entire Azure-based infrastructure as well.
Monitor containers on Amazon Bottlerocket with Datadog
Amazon’s Bottlerocket is a new Linux-based open-source operating system that’s designed with containers in mind. Bottlerocket is optimized and stripped down to only the essential software needed to run containers. You can apply updates to Bottlerocket in a single step, and roll them back instantly if necessary. And, because it’s open-source, you can customize the operating system to fit your specific needs.
StudySync: Resolving incidents faster with Datadog
Matthew Weber from StudySync discusses how quickly his team was able to ramp up on APM and get immediate insights with the context of a full observability platform.
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.
NodeJS Instrumentation - Capturing Performance of External Services | Datadog Tips & Tricks
In part 3 of this 4 part series, you’ll learn how to capture critical APM data—such as hits, errors, and latency—for external service calls, allowing you to track external service SLOs.
Monitor AWS GovCloud (US) with Datadog
Public sector organizations face a unique challenge when it comes to the cloud: how can they successfully migrate their operations while maintaining an air-tight, heavily regulated, massively distributed environment? To solve this problem, Amazon created the AWS GovCloud (US), two isolated Regions in the AWS ecosystem that are only accessible to US customers who meet strict security and compliance standards.