Book Image

Google Cloud Platform for Developers

By : Ted Hunter, Steven Porter

Book Image

Google Cloud Platform for Developers

By: Ted Hunter, Steven Porter

Overview of this book

Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications. With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems. By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications.

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Why GCP?

The public cloud landscape

Google Cloud Platform

The Google Cloud Console

The Google Cloud Console

Getting started – Google Cloud projects

The Google Cloud Console

The Google Cloud Shell

APIs, CLIs, IAM, and Billing

APIs, CLIs, IAM, and Billing

Google Cloud APIs

The Google Cloud SDK

The gcloud command-line tool

Other command-line tools

Automating tasks with gcloud

Google Cloud IAM

Billing on Google Cloud

Google App Engine

Google App Engine

Compute services on the GCP

Google App Engine

The App Engine standard environment

The App Engine flexible environment

App Engine resources and integrations

Scaling App Engine services

Externalizing configuration and managing secrets

Networking and security

Google Kubernetes Engine

Google Kubernetes Engine

Google Kubernetes Engine

Creating and maintaining a GKE cluster

Deploying workloads to GKE

Exposing GKE Services

Managing secrets with GKE

Google Cloud Functions

Google Cloud Functions

Functions as a Service

Google Cloud Functions

Invoking Cloud Functions

Developing Cloud Functions

Deploying Cloud Functions

Integrating with other Google services

IAM and billing

Frameworks and tooling

Google Compute Engine

Google Compute Engine

Understanding Compute Engine

Virtual machines on Google Compute Engine (GCE)

Managing Compute Engine instances

Storage solutions

Creating scalable solutions with GCE

IAM and service accounts

NoSQL with Datastore and Bigtable

NoSQL with Datastore and Bigtable

NoSQL solutions on GCP

Google Cloud Datastore

Datastore core concepts

Datastore management and integrations

Google Cloud Firestore

Google Bigtable

Relational Data with Cloud SQL and Cloud Spanner

Relational Data with Cloud SQL and Cloud Spanner

Google Cloud SQL

Configuring Cloud SQL instances

Connecting to Cloud SQL

Managing Cloud SQL instances

Migrating databases to Cloud SQL

Cloud SQL IAM and users

Google Cloud Spanner

Understanding Cloud Spanner

Cloud Spanner administration

Google Cloud Storage

Google Cloud Storage

Storage classes and locations

Automating object management

Data governance in Cloud Storage

Capabilities and integrations

Stackdriver

Lessons from SRE

Preparation for this chapter

Stackdriver basics

Stackdriver Logging

Monitoring and alerting

Error reporting

Stackdriver APM

Stackdriver Debugger

Change Management

Change Management

Preparing for this chapter

Google Cloud Source Repositories

Google Cloud Deployment Manager

Google Cloud Container services

Continuous deployment in Google Cloud

GCP Networking for Developers

GCP Networking for Developers

Networking fundamentals

Google load balancers

Global load balancers

Google Cloud DNS

Access control and API management

Messaging with Pub/Sub and IoT Core

Messaging with Pub/Sub and IoT Core

Google Cloud Pub/Sub

Google Cloud IoT Core

Integrating with Big Data Solutions on GCP

Integrating with Big Data Solutions on GCP

Big data and Google Cloud Platform

Google BigQuery

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Stackdriver basics

Stackdriver began as an independent monitoring product in 2012, with support for various platforms including AWS, Rackspace, and Google Cloud. Google purchased Stackdriver in May of 2014 and began integrating Stackdriver into Google Cloud Platform. Today, Stackdriver is a suite of monitoring and alerting solutions offering deep integrations with all major Google Cloud products.

Additionally, Stackdriver still offers varying levels of support for external resources, such as AWS VMs. Some of the key Stackdriver offerings include:

Monitoring applications, infrastructure, and managed services
Centralized logging with search and reporting
User-defined alerting policies for logs and metrics
Live debugging to diagnose issues on running systems
Network tracing to identify sources of latency
Application profiling to maximise performance and reduce waste

Since its 2014...