Setting Up Your Google Cloud Platform Account

Google Cloud Platform is an integrated cloud-based service that provides everything you need to deploy and manage your web applications, servers, and websites. With Google Cloud Platform, you can access a wide range of data services such as BigQuery, Compute Engine, Storage, App Engine and Cloud SQL.

Using Google Cloud Platform, you can create virtual machines (VMs) that function as servers to host any type of application. VMs are also great for development or testing environments because they allow you to quickly set up a server without needing to configure the hardware. Additionally, once the server is set up it’s easy to use a wide range of open source languages and services such as Java, Python or other scripting languages.

Before getting started with Google Cloud Platform, you must create a Google Cloud Platform (GCP) account. This account will allow you to use the various tools, services, and platforms available on GCP.

Google Cloud Platform also provides access to various cloud storage solutions that enable storing data securely in the cloud. You can use these storage solutions for backups or applications requiring large data storage space. Another benefit of using Google Cloud Platform is its ability to connect multiple components with orchestration tools such as Kubernetes. This makes it easy to create complex systems at scale while keeping track of multiple moving parts within those systems.

Setting up your own Google Cloud account will provide you with an integrated platform to access all these services. In this guide we will take you through how to get started building web applications with Google Cloud Platform including setting up an account and navigating around the dashboard interfaces provided by each service.

Prerequisites

Before you set up your Google Cloud Platform Account, there are some key prerequisites that you will need to ensure your Tableau Server deployment on the Google Cloud Platform is successful.

In this section, we will be going over what to consider when setting up your Google Cloud Platform Account. We will discuss the topology of the Cloud Platform, the Google services and APIs needed, and the permissions and roles needed to get started.

Create a Google Cloud Platform Account

Before getting started with Google Cloud Platform, you must create a Google Cloud Platform (GCP) account. This account will allow you to use the various tools, services, and platforms available on GCP. Creating an account is simple and requires few steps:

1. Navigate to cloud.google.com and sign in using your existing Google Account (if you don’t have one, click “Create Account” in the top right corner of the page to create one).
2. Accept the terms and conditions for GCP by clicking “Agree and Continue”.
3. Set up your billing profile for GCP by entering credit card information or selecting other payment methods.
4. Register the project name, your organisation’s name or domain, and applicable labels to easily identify resources on the platform.
5. Activate APIs required for your project or services that will be used with GCP (e.g., Compute Engine API).

Once these steps are completed, you can start using Google Cloud Platform!

Google Cloud Platform is an integrated cloud-based service that provides everything you need to deploy and manage your web applications, servers, and websites.

Set Up Billing

Before you begin using your Google Cloud Platform (GCP) account and services, it is important to set up billing.

When setting up GCP billing, you can choose from various payment methods including bank transfers, credit/debit cards, or payments from resellers. For additional information on payment methods and the process for setting up GCP billing, follow the below steps.

1. Sign in to your Google Cloud Platform Console with your Google account (if you don’t already have one).
2. Click the “Billing” tab and then select “Payment Settings”.
3. Select your preferred payment method – bank transfer, credit/debit card, or payments from resellers – and enter the required information.
4. If necessary, enter additional details such as VAT/tax numbers or contact details if you use a reseller’s payment system.
5. Select an organisation from the list of available options if you want to pay for services consumed by other members in an organisation; this will automatically assign them access rights and entitlements for the services you pay for with the same credit card or payment method.
6. Once all appropriate fields have been completed, click “Save” to confirm that your GCP billing is set up properly and ready for use!

Create a Project

Users must create a project to access the Google Cloud Platform (GCP) services. A project is a container in GCP where all the resources related to your GCP application reside. It includes all the items such as Google Compute Engine virtual machines (VMs), Kubernetes clusters and other services and components required for running your app or performing certain tasks.

The project is also used to handle billing and resource management. You can assign specific roles and permissions to each user working on a project.

To create a project:

1. Log in to Cloud Console with your user name and password
2. Select “Create a New Project” from the drop-down menu on the top toolbar
3. Click “Create New Project” button
4. Enter an appropriate name for your new project
5. Select an appropriate quota if needed
6. Note down the ID of your new created project
7. Click “Create”
8. Activate APIs as per requirements whenever needed

Enable APIs

Setting up a Google Cloud Platform account requires activating the necessary APIs for data processing. To enable APIs, open the Google Cloud Platform console and select the API Manager from the left navigation bar. If you already have an active API, it will appear in the list; otherwise, search for and choose the API you want to enable.

Fill out the form to complete its activation. Once enabled, ensure you input your payment details to avoid interruption when running cloud services and data projects. Note that some APIs may require additional settings or configurations; please consult with individual API documentation for more information on how to use them correctly.

Finally, please also consider setting up certain security measures such as:

• Restricting user access based on predefined roles.
• Inspect each activity log to help mitigate potential data misuse or exploitation risks.

Users must create a project to access the Google Cloud Platform (GCP) services. A project is a container in GCP where all the resources related to your GCP application reside.

Tableau Server on the Google Cloud Platform Topology

Setting up Tableau Server on the Google Cloud Platform (GCP) is a great way to ensure your data remains secure and available at all times. With GCP’s advanced security features, you can keep your data safe and secure within the cloud.

This article will cover the steps necessary to set up a Tableau Server topology on GCP. We will also discuss the best practices for configuring the server.

Choose a Topology

Tableau Server requires an infrastructure to run on. Therefore, it is important to choose an appropriate topology to achieve optimal performance and scalability and maintain cost efficiency and a secure environment.

Tableau Server provides three possible topologies to support a wide range of implementations. Each one can scale up or down to suit specific needs and configurations:

• Cluster: The cluster topology places both the Tableau Server worker nodes and its underlying data in the cloud environment of your choice (AWS, Azure, or Google Cloud Platform). This helps protect against outages caused by hardware failure or scheduled maintenance by automatically scaling resources up/down based on demand.
• Hybrid: The hybrid topology combines the features of both a cloud installation and on-premises deployment. Depending on your organisation’s unique needs, data can be stored either in the cloud or in an on-premises data centre with Tableau Server workers hosted in either location.
• Single node: The single node topology is ideal for organisations seeking simplicity over scalability due to fewer moving parts involved with the deployment. All components – data, analytics service, and web server – are hosted in a single instance of Tableau Server with no extra infrastructure required for hosting multiple nodes/servers.

Create a Compute Engine Instance

To set up Tableau Server on Google Cloud Platform, you must create a Compute Engine instance. This Compute Engine instance will serve as the host for Tableau Server. You can then use the Compute Engine instance to install and configure other services such as Active Directory, Anti-virus, or an SMTP server.

The steps to create a Compute Engine instance are as follows:

1. Log in to the Google Cloud Platform console and select Compute Engine from the left navigation panel.
2. Click Create Instance
3. Enter a name for your instance
4. Select the region and zone around you where you wish to create your server
5. Choose the machine type you wish to have (e.g., n1-highcpu-2 or n1-standard-8)
6. Specify any additional settings such as network tags, IP addressing, etc., if required
7. Click Create once completed
8. It may take some time for your Compute Engine instance to be ready for use

Once created, you can begin setting up Tableau Server using this VM by connecting via SSH or RDP directly into it and running all necessary Tableau setup commands.

Install Tableau Server

The first step in setting up Tableau Server on your Google Cloud Platform account is to install the server. Log into your GCP account, and then go to the Compute Engine interface. Select “Create Instance” from here – you will be prompted to select an image. Select Ubuntu 18.04 LTS as your image.

Next, select the size of your instance, including specifications such as number of CPUs and memory allocation. You will also need to enable access from external sources by checking the appropriate checkbox and adding a Firewall rule for port 80 (HTTP).

Once these steps are complete, you can begin the installation process for Tableau Server by logging into the Ubuntu instance using SSH credentials provided by GCP. Once logged in, use apt-get package manager to download and install Tableau Server onto your instance via wget or curl commands:

wget [link]/Tableau-Server-[version]-linux-x86_64/ubuntu1804/tableau-server-[version]-amd64setup.deb

sudo dpkg -i tableau-server-[version].deb

This command should install Tableau Server on your machine – you may now configure various settings such as authentication and users via tabadmin command line utility or through the graphical interface that appears once configuration is done. Additionally, analyze other settings such as server feature configuration and make sure only required services are enabled for better security practices and optimal performance of your Tableau Server deployment in GCP environment.

To set up Tableau Server on Google Cloud Platform, you must create a Compute Engine instance. This Compute Engine instance will serve as the host for Tableau Server.

Configure Tableau Server

Tableau Server is a powerful data visualisation and analytics platform from the creators of Tableau. It enables business users to explore large amounts of data quickly and easily, allowing them to identify insights, trends, and correlations that would otherwise go unnoticed.

To start with Tableau Server, you’ll need to set up a Google Cloud Platform (GCP) account. First, log into your GCP account and create a project to begin the setup process. Next, select Storage > Cloud Storage > Create Bucket from the navigation panel. Then enter a name for your bucket and click on Create Button. Then in the Access Control page select “Users who have cloud storage object viewer access” in the Add Member section and add your userID (or email address).

Once you have created your bucket; you are ready to begin downloading Tableau Server from tableau’s official website. After downloading Tableau Server onto your computer, open a command prompt window with administrative privileges and navigate to where you saved the downloaded folder containing Tableau Server’s setup files. In this folder run Setup -s command which will start configuring Tableau Server based on parameters specified in setup parameters text file located in the same directory as Setup -s command was run from.

Then move towards using setupportal command on google cloud platform which should be located at: https://console.cloud.google/compute/metadataserver. Enter this URL in browser of choice followed by parameters mentioned above which were used along with setup command previously executed on local computer; credentials will be asked for once entering this URL in browser then proceed as needed through all prompts till configuration into GCP completes for Tableau server instance created successfully inside selected project before starting configuration process itself. Now once configuration finished successfully one should make sure that ‘main IP address’ is same as ip address used while running setupportal command when configuring it inside google compute engine instance hosted within chosen GCP project providing tablesver instance usage access across multiple domains only if ip address pattern or range entered into alias property during setup portal updating matches server(instance) own ip address property value ensuring table server can serve client services properly on expected port numbers whenever any client service is requested ,server will be capable to serve as needed after verifying port range associated with protocol mentioned by client service requesting valid data packages securely over internet or any LAN depending upon restrictions applied while creating tableserver instance requests filter rules(if any).

Last but not least; always make sure there enough resources allocated to server instance for it serving without any hindrance caused by lack available resources within GCP project associated with freely available tableserver instances within GCP projects ,so one should try consider buying additional resources if needed according budget size associated within company policy over resource costs buying when needed.

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