pulumi deployment cancel | CLI commands
Generated for Pulumi CLI v3.242.0.
[EXPERIMENTAL] Cancel an in-progress deployment
Synopsis
[EXPERIMENTAL] Cancel an in-progress deployment.
Terminates an in-progress Pulumi Deployments execution. If the deployment is currently running, it is stopped immediately. If the deployment is queued but has not yet started, it is removed from the queue.
Canceling a deployment is a dangerous action and may leave the stack in an inconsistent state if canceled during the execution of a Pulumi operation.
pulumi deployment cancel <deployment-id> [flags]
Examples
# Cancel a deployment of the current stack.
pulumi deployment cancel dep-abc123
# Cancel a deployment of a different stack.
pulumi deployment cancel dep-abc123 --stack acme/web/prod
# Skip the confirmation prompt.
pulumi deployment cancel dep-abc123 --yes
# Emit JSON for scripting.
pulumi deployment cancel dep-abc123 --yes --output json
Options
-h, --help help for cancel
--output string Output format. Supported values are: default and json (default "default")
-s, --stack string The name of the stack to operate on. Defaults to the current stack
-y, --yes Skip confirmation prompts, and proceed with cancellation anyway
Options inherited from parent commands
--color string Colorize output. Choices are: always, never, raw, auto (default "auto")
--config-file string Override the file name where the deployment settings are specified. Default is Pulumi.[stack].deploy.yaml
-C, --cwd string Run pulumi as if it had been started in another directory
--disable-integrity-checking Disable integrity checking of checkpoint files
-e, --emoji Enable emojis in the output
-Q, --fully-qualify-stack-names Show fully-qualified stack names
--logflow Flow log settings to child processes (like plugins)
--logtostderr Log to stderr instead of to files
--memprofilerate int Enable more precise (and expensive) memory allocation profiles by setting runtime.MemProfileRate
--non-interactive Disable interactive mode for all commands
--otel-traces string Export OpenTelemetry traces to the specified endpoint. Use file:// for local JSON files, grpc:// for remote collectors
--profiling string Emit CPU and memory profiles and an execution trace to '[filename].[pid].{cpu,mem,trace}', respectively
--tracing file: Emit tracing to the specified endpoint. Use the file: scheme to write tracing data to a local file
-v, --verbose int Enable verbose logging (e.g., v=3); anything >3 is very verbose
SEE ALSO
- pulumi deployment - [EXPERIMENTAL] Manage stack deployments on Pulumi Cloud
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