If this machine is unavailable, TeamCity will switch to the next available option, and so on. When estimating traffic, remember that there are many types of traffic related to TeamCity (see the non-complete list below). TeamCity Server is a web application responsible for the core functionality of TeamCity. It provides a user interface, distributes the jobs (builds) to TeamCity agents, and aggregates their results.

To present the results for a generic report, the approach might be to generate HTML report in the build script, pack it into archive and publish as a build artifact. Then configure a report tab to display the HTML report as a tab on build’s results. On the other hand, developers continue to say that waiting for feedback from their CI tool is one of the most time-consuming parts of their job. Please watch/comment the issue related to sharing a build number TW-7745. We are confident that TeamCity Cloud is ready to be at the heart of the development process in almost every environment. But if you feel that we’re absolutely missing anything, please let us know.

Perforce integration improvements

If you can run the tool from a command line console, then you can run it in TeamCity with a command line runner. This will give you detection of the messages printed into standard error output. The build can be marked as failed is the exit code is not zero or there is output to standard error via build failure condition.

Once you’ve done that, you can start configuring Build Cache on the build configuration level. To set up Build Cache rules for a specific project, navigate to Build configuration | Edit configuration | Build features | Add build feature | Build Cache (Experimental). We’ve seen patterns of having an agent per each 20 build configurations (types of builds). If you want TeamCity to start an existing virtual machine and stop it after the build is finished or an idle timeout elapses, the setup above is all you need. If you want TeamCity to create and start virtual machines from an image and terminate the machine after use, the image should be captured from the virtual machine that was created.

Everything you love about TeamCity – now hosted by us!

In addition to Bitbucket Cloud, TeamCity now integrates with Bitbucket Server and Data Center. You can now add Bitbucket Server and Data Center as a connection type, as well as create new projects and build configurations from a Bitbucket URL. We’re introducing Build Cache to the list of build features in TeamCity.

New integrations can be implemented using custom TeamCity plugins, see Implementing Cloud support. We’re constantly working to improve TeamCity and introduce new features so that you can build even faster and more efficiently. Make sure to check out our public roadmap to see what’s coming next to TeamCity. This improvement will help you streamline the development process and save time when configuring new projects. Your feedback is highly appreciated – feel free to share it via the support platform. Read more about writing the file into the build log in our documentation.

If the tool has launchers for any of the supported build scripting engines like Ant, Maven or MSBuild, then you can use corresponding runner in TeamCity to start the tool. See also Use an External Tool that My Build Relies on for the recommendations on how to run an external tool. Note that the charges can depend on the specific configuration implemented to deploy TeamCity. ℹ️ You can find the full list of software installed on build agents in our documentation. You can enable or disable integration for a project and/or its subprojects via the TeamCity web UI using the Change cloud integration status option on the Cloud Profiles page. New Ubuntu ARM agents complement the platforms that JetBrains agents facilitate builds for.

Previously, an agent name consisted of an OS name and size, but our new agents don’t fit this model. The new format will include a specific OS name, version, size, and, optionally, architecture. Debugging such configurations gets even more complicated if your local machine has a different architecture. The good news is that TeamCity improves the user experience when undertaking this task. Both per-minute and per-month prices haven’t changed and are the same as for the older versions of agents of the same size. The set of preinstalled software and hardware specifications remain the same as for previous versions.

The number of required build agents depends on the server usage pattern, type of builds, team size, commitment of the team to CI process, and so on. In general, the best way is to start with three agents and see how they handle the projects on your server, and then make estimations for the future. We’re introducing new types of JetBrains build agents to TeamCity Cloud.

• It is also highly recommended to set an execution timeout for all your builds so that a build hanging does not cause prolonged instance running with no payload.
• Then configure a report tab to display the HTML report as a tab on build’s results.
• This will give you detection of the messages printed into standard error output.
• Note that the charges can depend on the specific configuration implemented to deploy TeamCity.
• With the cloud agent integration configured, TeamCity will leverage clouds elasticity to provision additional build agents on-demand.
• In TeamCity, build agents are distributed agents responsible for executing the actual build and deployment processes defined in your build configurations.

The data collected by previous build is stored under work and system directories. Keep in mind that communication between the TeamCity agent and server requires opening ports on both the agent and the server. Cloud profiles are configured in the Cloud Profiles section of the Project Settings. This means that TeamCity will prefer these versions when it picks teamcity cloud up an agent for a build in case another version is not selected with explicit agent requirements. To handle the intensive computations and tests, Large and XLarge Windows agents are now available. Compared to the Medium machines, vCPU count, RAM size, and fast SSD storage are double for Large agents, and XLarge ones have four times more resources.