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dddk's Introduction

dddk

Do you have lots of services? Do you wish they had a consistent set of monitors, alerting to the right teams? What about SLOs automatically generated containing all serious issues? And to dump those straight onto dashboards per app, or rollup stats for the team/company?

Well wish no more! The Datadog Dev Kit does this for you using a simple typescript CLI that gives you full autocomplete as you describe your services.

Getting started

Best way to get started is to fetch the scaffolding and work from there.

npx degit 99designs/dddk-init my-repo

To create the example dashboards:

DD_API_KEY=AAA DD_APP_KEY=BBB npm run push

What does it do?

For each service there are four DataDog objects which are managed by dddk.

  • Dashboards
  • Monitors
  • Synthetics
  • Service Level Objectives (SLOs)

Many of these objects are reused across multiple apps. For example, you might want the same set of fargate metrics across all of your services running fargate. In dddk these sets of reusable objects are called components. App '.ts' files in apps consist of components and sometimes custom objects. dddk systematically generates relevant objects for each app and pushes them to DataDog.

DataDog Development Kit enables small modifications to be easily propagated through the entire ecosystem of applications. Without dddk, ecosystem wide changes are tedious to apply and prone to human error.

How does it know what to update?

Objects are matched based on title, which include the created by:dddk tag.

Dashboards are updated which have "managed by dddk" in the description.

A lock file keeps track of the expected state on DataDog - only pushing the modified objects.

dddk's People

Contributors

lachstr avatar vektah avatar ashwaryasmridhi avatar helix7293 avatar sonna avatar

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