![]() ![]() Eliminate bottlenecks at different stages of the pipeline And with this type of information in hand, you could remediate the underlying issue. In this hypothetical scenario, it’s plausible that the typo would be the root of the elevated number of build failures. Then, you can select the Errors tab to dive into the error message, which will likely give you some insight into the issue-for example, that the job is erroring out because of a typo in a recent code deployment. Here you can drill into a flame graph visualization of the build and find a job that is returning an error. The unified visibility that the dashboard offers helps you understand where issues and bottlenecks in your pipelines arise-before these issues turn into more serious problems, such as failing or slow builds, that can hamper the velocity of your development team.įrom there, you select the Checkout Service Build, which brings you to the CI Visibility page. ![]() Additionally, the dashboard includes other critical telemetry, such as build-related events and logs, to give you a more holistic view of your system and multiple sources of context to draw from when you troubleshoot pipeline issues. Once you’ve enabled the integration, these types of metrics will start streaming into an out-of-the-box dashboard in Datadog that includes a monitor summary to alert you of high failed build counts for various build configurations. ![]() The integration includes a wealth of new metrics from your build pipelines, such as failed build count, job duration trends, and the number of builds at different stages in the pipeline (queued, processing, finished, etc.). Additionally, TeamCity integrates with your other tools-such as version control, issue tracking, package repositories, and more-to simplify and expedite your CI/CD workflows.ĭatadog has revamped our TeamCity integration to provide a more powerful user experience with greater visibility into your pipelines, and increased control over how you monitor them. TeamCity is a CI/CD server that provides out-of-the-box support for unit testing, code quality tracking, and build automation. ![]()
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