Changelog

Get access to all your CircleCI usage data via our Usage API.

Query your usage data for any 32-day window (or less) going back up to 13 months. Data is refreshed daily through the previous full day. Understand your pipelines, workflows, and jobs, your credit consumption and RAM/CPU utilization on the job run and much more.

Hit the API to query your data, get back a link from which you can download a CSV, then load it into a data warehouse of your choice for deep CircleCI usage analysis.

For more information, check out our documentation.

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Expression based context restrictions enable developers to restrict contexts based on pipeline values such as branch, ssh rerun and other attributes of the pipeline. This provides greater control over context access for things like contexts only available to production branches, builds run by specific actors and more. For security concerned and complex workflows customers are able to limit access to contexts to meet their specific security needs.

General documentation and API documentation are available to learn more.

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With the launch of our release agent 1.0.0, CircleCI releases is now generally available. Installing the release agent in your kubernetes cluster gives users org-wide visibility into all components and releases via the Releases UI.

Our agent also integrates with Argo Rollouts to give customers more visibility and control over their progressive releases and use analysis runs to fully automate their release process based on observability metrics. Check out our docs to learn more!

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CircleCI’s Visual Studio Code extension now lets customers trigger pipelines from VS Code based on local, unversioned configuration files. Users can choose to run a full pipeline, or select only the individual jobs and workflows they want to run by using checkboxes. This will shorten the feedback cycle and enable developers to iterate fast on their configuration, without having to commit their trial and error changes to the VCS.

This feature is controlled by an org-level opt-in setting, and an opt-out project level setting.

Check out the feature docs for more information.

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Container Runner SSH Rerun (Preview)

Container runner now supports SSH Rerun. Visit our documentation on setup and usage.

For more information on SSH rerun please see the following documentation.

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Users can now orchestrate their model deployments across multiple environments through the Amazon SageMaker Orb. They can also track and manage their deployments from within the Releases UI.

See our documentation for more information.

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Inbound Webhooks are now available in open preview.

With this new feature, you can trigger a pipeline from anywhere that emits a webhook or run a curl command. With this change, we also updated pages such as the Dashboard to accurately reflect that pipelines can now come from outside your VCS.

Only available to users authenticated through our GitHub App integration. See our community forum and an AI use case for more.

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Now in preview, three new resource classes that use GPUs:

1. gpu.nvidia.small.gen2: uses 1 NVIDIA Tesla A10G GPU (4 CPU / 16 GB RAM 200 credits/min)
2. gpu.nvidia.small.multi: uses 2 NVIDIA Tesla T4 GPUs (4 CPU / 16 GB RAM 160 credits/min)
3. gpu.nvidia.medium.multi: uses 4 NVIDIA Tesla T4 GPUs (8 CPU / 30 GB RAM / 240 credits/min)

Only available to users on our Scale pricing plan. See our community forum for more.

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