Follow these instructions link corrected (#3790)

googleapis · Oct 9, 2018 · d36cb97 · d36cb97
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diff --git a/google-cloud-clients/google-cloud-asset/README.md b/google-cloud-clients/google-cloud-asset/README.md
@@ -50,7 +50,7 @@ See the [Cloud Asset client library docs][asset-lib-docs] to learn how to use th
 Getting Started
 ---------------
 #### Prerequisites
-You will need a [Google Developers Console](https://console.developers.google.com/) project with the Cloud Asset API enabled. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
+You will need a [Google Developers Console](https://console.developers.google.com/) project with the Cloud Asset API enabled. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-asset` library.  See the [Quickstart](#quickstart) section to add `google-cloud-asset` as a dependency in your code.

diff --git a/google-cloud-clients/google-cloud-automl/README.md b/google-cloud-clients/google-cloud-automl/README.md
@@ -50,7 +50,7 @@ See the [Cloud Auto ML client library docs][automl-client-lib-docs] to learn how
 Getting Started
 ---------------
 #### Prerequisites
-You will need a [Google Developers Console](https://console.developers.google.com/) project with the Cloud Auto ML API enabled. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
+You will need a [Google Developers Console](https://console.developers.google.com/) project with the Cloud Auto ML API enabled. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-automl` library.  See the [Quickstart](#quickstart) section to add `google-cloud-automl` as a dependency in your code.

diff --git a/google-cloud-clients/google-cloud-bigquery/README.md b/google-cloud-clients/google-cloud-bigquery/README.md
@@ -61,7 +61,7 @@ For this tutorial, you will need a
 [Google Developers Console](https://console.developers.google.com/) project with the BigQuery API
 enabled. You will need to [enable billing](https://support.google.com/cloud/answer/6158867?hl=en) to
 use Google Cloud BigQuery.
-[Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your
+[Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your
 project set up. You will also need to set up the local development environment by [installing the
 Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line:
 `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.

diff --git a/google-cloud-clients/google-cloud-bigquerydatatransfer/README.md b/google-cloud-clients/google-cloud-bigquerydatatransfer/README.md
@@ -57,7 +57,7 @@ For this tutorial, you will need a
 [Google Developers Console](https://console.developers.google.com/) project with the Bigquery Data Transfer API
 enabled. You will need to [enable billing](https://support.google.com/cloud/answer/6158867?hl=en) to
 use Google Cloud Bigquery Data Transfer.
-[Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your
+[Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your
 project set up. You will also need to set up the local development environment by [installing the
 Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line:
 `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.

diff --git a/google-cloud-clients/google-cloud-bigtable-admin/README.md b/google-cloud-clients/google-cloud-bigtable-admin/README.md
@@ -58,7 +58,7 @@ For this tutorial, you will need a
 [Google Developers Console](https://console.developers.google.com/) project with the Cloud Bigtable 
 API enabled. You will need to 
 [enable billing](https://support.google.com/cloud/answer/6158867?hl=en) to use Google Cloud Bigtable.
-[Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your
+[Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your
 project set up. You will also need to set up the local development environment by [installing the
 Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line:
 `gcloud auth login`.

diff --git a/google-cloud-clients/google-cloud-bigtable/README.md b/google-cloud-clients/google-cloud-bigtable/README.md
@@ -58,7 +58,7 @@ For this tutorial, you will need a
 [Google Developers Console](https://console.developers.google.com/) project with the Cloud Bigtable 
 API enabled. You will need to 
 [enable billing](https://support.google.com/cloud/answer/6158867?hl=en) to use Google Cloud Bigtable.
-[Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your
+[Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your
 project set up. You will also need to set up the local development environment by [installing the
 Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line:
 `gcloud auth login`.

diff --git a/google-cloud-clients/google-cloud-compute/README.md b/google-cloud-clients/google-cloud-compute/README.md
@@ -69,7 +69,7 @@ Getting Started
 #### Prerequisites
 For this tutorial, you will need a [Google Developers Console](https://console.developers.google.com/)
 project with the Compute Engine API enabled. You will need to [enable billing](https://support.google.com/cloud/answer/6158867?hl=en)
-to use Google Cloud DNS. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation)
+to use Google Cloud DNS. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects)
 to get your project set up. You will also need to set up the local development environment by
 [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands
 in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.

diff --git a/google-cloud-clients/google-cloud-container/README.md b/google-cloud-clients/google-cloud-container/README.md
@@ -58,7 +58,7 @@ For this tutorial, you will need a
 [Google Developers Console](https://console.developers.google.com/) project with the Kubernetes Engine API
 enabled. You will need to [enable billing](https://support.google.com/cloud/answer/6158867?hl=en) to
 use Kubernetes Engine.
-[Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your
+[Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your
 project set up. You will also need to set up the local development environment by [installing the
 Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line:
 `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.

diff --git a/google-cloud-clients/google-cloud-containeranalysis/README.md b/google-cloud-clients/google-cloud-containeranalysis/README.md
@@ -47,7 +47,7 @@ See the [Container Analysis client library docs][containeranalysis-client-lib-do
 Getting Started
 ---------------
 #### Prerequisites
-You will need a [Google Developers Console](https://console.developers.google.com/) project with the Container Analysis API enabled. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
+You will need a [Google Developers Console](https://console.developers.google.com/) project with the Container Analysis API enabled. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-containeranalysis` library.  See the [Quickstart](#quickstart) section to add `google-cloud-containeranalysis` as a dependency in your code.

diff --git a/google-cloud-clients/google-cloud-dataproc/README.md b/google-cloud-clients/google-cloud-dataproc/README.md
@@ -59,7 +59,7 @@ For this tutorial, you will need a
 [Google Developers Console](https://console.developers.google.com/) project with the Dataproc API
 enabled. You will need to [enable billing](https://support.google.com/cloud/answer/6158867?hl=en) to
 use Google Cloud Dataproc.
-[Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your
+[Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your
 project set up. [Set up authentication with a service account][auth] so you can access the
 API from your local workstation.
 

diff --git a/google-cloud-clients/google-cloud-datastore/README.md b/google-cloud-clients/google-cloud-datastore/README.md
@@ -67,7 +67,7 @@ with the Cloud Datastore using this Client Library.
 Getting Started
 ---------------
 #### Prerequisites
-For this tutorial, you will need a [Google Developers Console](https://console.developers.google.com/) project with the Datastore API enabled. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
+For this tutorial, you will need a [Google Developers Console](https://console.developers.google.com/) project with the Datastore API enabled. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-datastore` library.  See the [Quickstart](#quickstart) section to add `google-cloud-datastore` as a dependency in your code.

diff --git a/google-cloud-clients/google-cloud-dialogflow/README.md b/google-cloud-clients/google-cloud-dialogflow/README.md
@@ -52,7 +52,7 @@ Getting Started
 ---------------
 #### Prerequisites
 You will need a [Google Developers Console](https://console.developers.google.com/) project with the Dialogflow API enabled.
-[Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up.
+[Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-dialogflow` library.  See the [Quickstart](#quickstart) section to add `google-cloud-dialogflow` as a dependency in your code.

diff --git a/google-cloud-clients/google-cloud-dlp/README.md b/google-cloud-clients/google-cloud-dlp/README.md
@@ -53,7 +53,7 @@ to learn how to use this Cloud Data Loss Prevention API Client Library.
 Getting Started
 ---------------
 #### Prerequisites
-You will need a [Google Developers Console](https://console.developers.google.com/) project with the Data Loss Prevention API enabled. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
+You will need a [Google Developers Console](https://console.developers.google.com/) project with the Data Loss Prevention API enabled. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-dlp` library.

diff --git a/google-cloud-clients/google-cloud-dns/README.md b/google-cloud-clients/google-cloud-dns/README.md
@@ -67,7 +67,7 @@ Getting Started
 #### Prerequisites
 For this tutorial, you will need a [Google Developers Console](https://console.developers.google.com/)
 project with the DNS API enabled. You will need to [enable billing](https://support.google.com/cloud/answer/6158867?hl=en)
-to use Google Cloud DNS. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation)
+to use Google Cloud DNS. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects)
 to get your project set up. You will also need to set up the local development environment by
 [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands
 in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.

diff --git a/google-cloud-clients/google-cloud-errorreporting/README.md b/google-cloud-clients/google-cloud-errorreporting/README.md
@@ -53,7 +53,7 @@ See the [Error Reporting client library docs][error-reporting-client-lib-docs] t
 Getting Started
 ---------------
 #### Prerequisites
-You will need a [Google Developers Console](https://console.developers.google.com/) project with the Stackdriver Error Reporting API enabled. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
+You will need a [Google Developers Console](https://console.developers.google.com/) project with the Stackdriver Error Reporting API enabled. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-errorreporting` library.  See the [Quickstart](#quickstart) section to add `google-cloud-errorreporting` as a dependency in your code.

diff --git a/google-cloud-clients/google-cloud-iot/README.md b/google-cloud-clients/google-cloud-iot/README.md
@@ -50,7 +50,7 @@ See the [IoT Core client library docs][iot-client-lib-docs] to learn how to use
 Getting Started
 ---------------
 #### Prerequisites
-You will need a [Google Developers Console](https://console.developers.google.com/) project with the IoT Core API enabled. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
+You will need a [Google Developers Console](https://console.developers.google.com/) project with the IoT Core API enabled. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-iot` library.  See the [Quickstart](#quickstart) section to add `google-cloud-iot` as a dependency in your code.

diff --git a/google-cloud-clients/google-cloud-kms/README.md b/google-cloud-clients/google-cloud-kms/README.md
@@ -50,7 +50,7 @@ See the [Cloud KMS client library docs][kms-client-lib-docs] to learn how to use
 Getting Started
 ---------------
 #### Prerequisites
-You will need a [Google Developers Console](https://console.developers.google.com/) project with the Cloud KMS API enabled. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
+You will need a [Google Developers Console](https://console.developers.google.com/) project with the Cloud KMS API enabled. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-kms` library.  See the [Quickstart](#quickstart) section to add `google-cloud-kms` as a dependency in your code.

diff --git a/google-cloud-clients/google-cloud-language/README.md b/google-cloud-clients/google-cloud-language/README.md
@@ -47,7 +47,7 @@ See the [Natural Language client library docs][language-client-lib-docs] to lear
 Getting Started
 ---------------
 #### Prerequisites
-You will need a [Google Developers Console](https://console.developers.google.com/) project with the Natural Language API enabled. [Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
+You will need a [Google Developers Console](https://console.developers.google.com/) project with the Natural Language API enabled. [Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your project set up. You will also need to set up the local development environment by [installing the Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line: `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.
 
 #### Installation and setup
 You'll need to obtain the `google-cloud-language` library.  See the [Quickstart](#quickstart) section to add `google-cloud-language` as a dependency in your code.

diff --git a/google-cloud-clients/google-cloud-logging/README.md b/google-cloud-clients/google-cloud-logging/README.md
@@ -65,7 +65,7 @@ For this tutorial, you will need a
 [Google Developers Console](https://console.developers.google.com/) project with the Logging API
 enabled. You will need to [enable billing](https://support.google.com/cloud/answer/6158867?hl=en) to
 use Stackdriver Logging.
-[Follow these instructions](https://cloud.google.com/docs/authentication#preparation) to get your
+[Follow these instructions](https://cloud.google.com/resource-manager/docs/creating-managing-projects) to get your
 project set up. You will also need to set up the local development environment by [installing the
 Google Cloud SDK](https://cloud.google.com/sdk/) and running the following commands in command line:
 `gcloud auth login` and `gcloud config set project [YOUR PROJECT ID]`.