The following page may contain information related to upcoming products, features and functionality. It is important to note that the information presented is for informational purposes only, so please do not rely on the information for purchasing or planning purposes. Just like with all projects, the items mentioned on the page are subject to change or delay, and the development, release, and timing of any products, features or functionality remain at the sole discretion of GitLab Inc.
UPDATE: As of 2020-09-01: The Tracing category at GitLab has presently been reprioritized and we are not actively progressing this category. The vision you see displayed on this page represents the direction we will pursue if this becomes a priority again in the future.
Thanks for visiting this category strategy page on Tracing in GitLab. This category belongs to and is maintained by the Health group of the Monitor stage.
This page is maintained by Kevin Chu, group product manager. You can connect with him via Zoom or Email. If you're a GitLab user and have direct knowledge of your Metrics usage, we'd especially love to hear your use case(s)
Tracing is a part of Application Performance Monitoring (APM) solution, and described as a way to measure an application while running. To enable tracing, code instrumentation is required. With it, it is possible to gain in-depth insight into the app across all layers by measuring the execution time of a user journey. Tracing information can be used to troubleshoot an application by measuring different metrics of Traces and Spans.
A trace is normally constructed out of multiple spans.
With the rise of microservices applications, it has become difficult to correlates traces and spans, as those are likely to be routed across distributed components. Distributed tracing is a method that correlates multiple Traces and Spans of a single transaction across different components. Making it easier to understand the path a transaction took through multiple services.
Gitlab integrates with Jaeger - an open-source, end-to-end distributed tracing system tool used for monitoring and troubleshooting microservices-based distributed systems. If you are using Jaeger it is possible to view its UI within Gitlab.
We're pursuing continued iteration on our initial MVP via the tracing to viable epic with a specific next step to enable deployment of Jaeger to your Kubernetes cluster with a push of a button.