Google Cloud

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Overview

A brief introduction to the Google Cloud serverless offerings.

Google Cloud Run for deploying container-based services (official docs). Our instrumentation does not yet support Google Cloud Run Jobs, only Services.
Google Cloud Run Funcitons for deploying code that gets packaged into container-based services and jobs running on Google Cloud Run infrastructure (official docs).
Google Cloud Run Functions (1st generation) for deploying code that gets run on the legacy Cloud Functions infrastructure (official docs).

Setup

We offer two mechanisms for instrumenting serverless Google Cloud code: sidecar containers and in-process.

The sidecar containers are the suggested way to instrument these applications, deploying the datadog agent in a separate container that runs alongside your code. (add a few details about why we suggest this over in-process.) Detailed information for setting these up can be found at Google Cloud Run, Google Cloud Run Functions, and Google Cloud Run Functions (1st generation).

We continue to support the in-process. (add a few details and caveats.) Detailed information for setting up Google Cloud Run In-Process.

Sidecar vs. In-Process Instrumentation for Google Cloud Run

A discussion of the tradeoffs between instrumenting Google Cloud Run services with a sidecar vs. in-process. Touch on cost things, performance, and decoupling your application from the Datadog tooling.