In part 2 of this 2 part series, you’ll learn how to create Datadog Browser Tests to replicate user journeys and verify both that your web applications are responsive and functioning properly at all times. In part 1 of this series (link), you learned how Datadog’s API tests can be used to check API and website uptime. Datadog Browser Tests take this a step further, allowing you to replicate entire user journeys and transactions through your web applications. This is done with our browser recorder: simply click “Start Recording” and click through your application to record a test.

In this video, you’ll learn how to identify right sizing opportunities for your EC2 instances utilizing Datadog metric dashboards. Optimizing your cloud footprint for cost efficiency can be a huge task, especially for large and scaling environments. Utilizing time series data and toplists, Datadog dashboards allow you to see chronically underutilized EC2s in your AWS environment. Template variables allow you to sort EC2s by teams and instance types, so you quickly identify the scope of cost saving opportunities across your organization.

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.

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.

Datadog Security Monitoring detects threats across the full stream of ingested observability data and leverages hundreds of integrations to give you full visibility across your environment. Now development, operations, and security teams in your organization can use a unified platform to secure your infrastructure and applications.

In this video, you’ll learn how to manually instrument APM for your Python application, granting you performance visibility into any of your Python applications.

In this video, you’ll learn how to create and scale dynamic notifications in your Datadog monitors using template variables.

In this video, you’ll learn how Datadog's App Analytics helps quickly identify and alert on your slowest queries to reduce time to resolve bottlenecks and increase cross-team collaboration.