Terraform module providing a notification-based integration between Spacelift and Datadog. This particular integration sends metrics to Datadog whenever a run reaches a terminal state.
module "spacelift_datadog" {
source = "spacelift-io/datadog/spacelift"
dd_api_key = var.dd_api_key
dd_site = "datadoghq.com"
space_id = "root"
extra_tags = {"env":"prod"}
}This data allows you to generate dashboards like this one:
The following metrics are sent:
spacelift.integration.run.count(counter) - a simple count of runs;spacelift.integration.run.timing(counter, nanoseconds) - the duration of different run states. In addition to common tags, this metric is also tagged with the state name, eg.state:planning,state:applying, etc.;spacelift.integration.run.resources(counter) - the resources affected by a run. In addition to common tags, this metric is also tagged with the change type, eg.change_type:added,change_type:changed, etc.;spacelift.integration.run.policies(counter) - policy evaluations for the run. In addition to common tags, this metric is also tagged with the policy type (eg.policy_type:plan), policy name (eg.policy_name:AWS IAM compliance) and policy outcome (eg.policy_outcome:allow). If the policy sets any flags, these are also added to the metric as tags. Note that we do not include notification policies in this metric, to avoid a circular dependency.
Common tags for all metrics are the following:
account(string) : name of the Spacelift account generating the metric;branch(string): name of the Git branch the run was triggered from;drift_detection(boolean): whether the run was triggered by drift detection;run_type(string): type of a run, eg. "tracked", "proposed", etc.;final_state(string): the terminal state of the run, eg. "finished", "failed", etc.;space(string): name of the Spacelift space the run belongs to;stack(string): name of the Spacelift stack the run belongs to;worker_pool(string): name of the Spacelift worker pool the run was executed on - for the public worker pool this value is alwayspublic;