Editor’s note (May 2021): The text below has been modified to reflect our new integration setup instructions. See our documentation for more details about this integration.
With the release of our Google App Engine (GAE) integration, Datadog has joined the Google Cloud Platform ecosystem. This release allows you to visualize, analyze, and alert on the performance metrics from your Google Cloud Platform infrastructure as well as custom metrics from GAE applications.
If you are new to Datadog, create an account and install the Google Cloud Platform integration from the Integrations page. You can also find more detailed instructions in our documentation. Once you’ve configured the integration, Datadog will start collecting metrics on responses, Memcache statistics, task queues, and other data from your App Engine standard and flex environments.
You can also collect custom metrics using the various DogStatsD or API libraries. Google App Engine supports applications written with Python, Java, PHP, and Go and we have libraries available for each of these languages.
Once you’ve enabled our Google App Engine integration, you will see an out-of-the-box dashboard that gives you a pre-configured look at the key metrics, including enhanced latency metrics (p95 and p99 aggregations).
Every project and software version is tagged uniquely, such as
version_id:18.104.22.168. And since one of the features of Google App Engine is the ability to gradually migrate visitors to your site from one version to another, you could overlay your dashboard metric graphs with the percentage of users on the newest platform.
Of course, when monitoring Google serverless applications with Datadog, you’ll be able to visualize and alert on data from multiple cloud providers and on-premise servers, correlate data to identify the root cause of issues, and more—all in one place. If you’d like to monitor Google App Engine and the rest of your Google Cloud environment, sign up for a free 14-day trial.