Distributed Tracing (Beta)
This release adds collection and visualization of distributed tracing data. We send trace data from your instrumented applications to the Wavefront service, and you can examine it with our new tracing UI. We augment the trace data with metrics and histograms to provide a full troubleshooting and visualization experience that starts with charts for application metrics and drills down to specific traces and spans to find bottlenecks.
Watch this video to learn more:
Using traces, histograms and traces you can:
- Monitor your application to performing as expected.
- Troubleshoot and analyze reported errors.
- Pinpoint the specific operations that bottlenecks occur in.
Use our docs and the Beachshirts sample application to learn more.
Wavefront Observability SDKs
Wavefront has added a significant number of new SDKs that allow you to instrument your application stack at different levels. You can find our SDKs in our github repository. SDK releases and updates are completely independent from Wavefront service releases. We mention them in these release notes because other features in this release depend in part on the new SDKs.
Classic alerts have a single severity level (e.g. SEVERE) and a set of alert targets. When the alert targets are notified, all alert targets get the notification. Multi-threshold alerts allow finer control:
- When you create a multi-threshold alert, you associate different severity levels with different thresholds. For example, a CPU load over 5000 is SEVERE, a CPU load over 4000 is WARN.
- You also associate one or more alert targets with each severity.
- When the alert is updated, a notification of the specified level is sent to all alert targets. For example, if CPU load is over 4000 for the specified amount of time, the set of targets associated with WARN and lower severities are notified. Later, if CPU load is over 5000, the set of targets associated with SEVERE and lower severities are notified. Creating a threshold alert is similar to creating a classic alert.
Watch this video for an introduction: