The Datadog user interface is great, but standard files can be a better way to maintain your monitors.

Maybe you'd like a backup. Maybe you'd like to use Git and pull requests. Or maybe your infrastructure has many similar environments and you'd like to provision monitors programmatically.

Whatever the scenario, we hope datadog-sync can help.

We do not currently provide binaries or packages.

Please setup a Go environment, then run:

$ go get -u github.com/meteor/datadog-sync

This tool will then be available as $GOPATH/bin/datadog-sync and can be copied around (but not shared between Windows, OSX and Linux, nor across CPU architectures).

We follow the same format as the Datadog APIs. Please see "Create a monitor" in the Datadog API documentation.

datadog-sync requires both an API key and an application key.

You can find them in your Datadog account settings, and pass them either through the -api-key/-app-key command line arguments or the DATADOG_API_KEY/DATADOG_APP_KEY environment variables.

• -only [regex] restricts the set of monitors being processed. datadog-sync only cares about monitors whose title match regex (partial match, so foobarbaz is a match for -only bar). For example, prefix alert names with "Prod: " or "Staging: " then maintain them through separate files using -only '^Prod:' and -only '^Staging:'.

• -http-debug is useful to log the exact requests and responses, for example when API calls fail. Please help us help you by providing the resulting output whenever reporting an issue. Your keys should be hidden; please double-check.

• -format [json|yaml] allows you to choose between JSON and YAML for the output of -mode pull and the input of -mode push. YAML is the default as it is much more friendly to humans for so many long strings. We only print JSON in its raw form; please look at jq for pretty-printing, colors and much more.

This mode dumps your current Datadog metrics to standard output.

• -ids will dump the monitor IDs. -mode push uses IDs to update monitors in place instead of deleting and recreating a monitor whenever it changes; however it will fail if you try to push a metric with an ID that no longer exists on Datadog.

This mode reads metrics from standard input and syncs them on Datadog (creating metrics in the input that aren't on Datadog, deleting Datadog metrics that aren't in the input, updating metrics if the input provides an ID).

• -dry-run outputs the various changes without performing them. We highly recommend trying it before making any changes.

• -verbose will log details about each change, instead of only showing the metric ID and name.

• Interferon from Airbnb
• Barkdog from Genki Sugawara
• dog-watcher from Brightcove, to capture dashboards