Google Cloud Deployment Manager is a service that allows you to define and deploy resources in your GCP environment, as well as create templates and configurations. Google Cloud Deployment Manager also gives you the possibility to use Jinja or Python to define the resources you desire.

Google Cloud Deployment Manager vs. Terraform

So which infrastructure-as-code tool is right for your Google Cloud deployments? The choice ultimately varies based on your workload.

If you’re only deploying workloads to GCP, Deployment Manager should meet all of your deployment needs. And because it’s a built-in Google Cloud tool, it’s also easier to use from an authentication perspective.

On the…

Overview

Google Cloud Pub/Sub is a messaging service for exchanging event data among applications and services. By decoupling senders and receivers, it allows for secure and highly available communication between independently written applications. Google Cloud Pub/Sub delivers low-latency/durable messaging, and is commonly used by developers in implementing asynchronous workflows, distributing event notifications, and streaming data from various processes or devices.

Lab Task

In this lab, you will do the following:

• Learn the basics of Pub/Sub.
• Create, delete, and list Pub/Sub topics.
• Create, delete, and list Pub/Sub subscriptions.
• Publish messages to a topic.
• Use a pull subscriber to output individual topic messages.
• Use a…

Overview

Google Cloud Pub/Sub is a messaging service for exchanging event data among applications and services. A producer of data publishes messages to a Cloud Pub/Sub topic. A consumer creates a subscription to that topic. Subscribers either pull messages from a subscription or are configured as webhooks for push subscriptions. Every subscriber must acknowledge each message within a configurable window of time.

Lab Objective

• Set up a topic to hold data.
• Subscribe to a topic to access the data.
• Publish and then consume messages with a pull subscriber.

Setting up Pub/Sub

You can use the Google Cloud Shell console to perform operations in Google Cloud Pub/Sub.

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Terraform enables you to safely and predictably create, change, and improve infrastructure. It is an open source tool that codifies APIs into declarative configuration files that can be shared among co-workers, treated as code, edited, reviewed, and versioned.

Objectives

In this lab, we will learn how to perform the following tasks:

• Get started with Terraform in Google Cloud.
• Install Terraform from installation binaries.
• Create a VM instance infrastructure using Terraform.

What is Terraform?

Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing, popular service providers and custom in-house solutions.

Configuration files describe to Terraform the components…

Why use Terraform instead of Cloud Deployment Manager?

We can use Cloud Deployment Manager to create a VPC Network, However we have a limitation while using Cloud deployment manager as it is limited to GCP only, the cloud developers who are intended to work on multi-cloud platforms can use Terraform.

Lab Details:

1. This lab walks you through GCP VPC Network creation using Terraform.
2. The main agenda of this lab is to work on the automation of creating Infrastructure.
3. This lab will use Terraform to create a VPC using a Custom subnet.

Lab Tasks:

1. Starting Cloud Shell.
2. Creating a VPC.
3. Destroying the Infrastructure.

Creating a VPC Network:

1. Click on the hamburger icon on the top left corner
2. …

What is BigTable?

Bigtable is a distributed database that runs on clusters for applications that has massive data. Its mainly designed for unstructured data, and scales horizontally.

Cloud Bigtable is not a relational database system. It stores data in key-value pairs.

When to choose BigTable and BigQuery?

• For Interactive querying in an online analytical processing system use BigQuery.
• BigQuery is a data warehouse application, and it stores data in structured tables.
• BigQuery supports SQL queries whereas BigTable doesn’t support SQL queries.
• BigTable is not a recommended solution for a small volume of data(< 1 TB).
• BigTable is characteristic of a NoSQL system whereas BigQuery is somewhat of a hybrid…

What is Cloud Spanner?

• Cloud Spanner is used to handle large amounts of data. It provides petabytes of capacity. Main use cases include financials and inventory applications.
• Cloud Spanner can be considered a replacement for traditional SQL. For e.g. In a traditional database environment, when database query response times get close or even exceed the threshold limit due to an increase in the number of users or queries, you can bring response times down to acceptable levels through manual intervention.
• Cloud Spanner can scale horizontally easily with minimal intervention. You can scale horizontally by just increasing the number of nodes (just change one digit).
• …

What is BigQuery?

• BigQuery is a fully managed big data tool for companies who need a cloud-based interactive query service for massive datasets.
• BigQuery is not a database, it’s a query service.
• BigQuery supports SQL queries, which makes it quite user-friendly. It can be accessed from Console, CLI, or using SDK. You can query billions of rows, it only takes seconds to write, and seconds to return.
• You can use its REST APIs and get your work done by sending a JSON request.
• Let’s understand with help of an example, Suppose you are a data analyst and you need to analyze tons of…