Google Cloud Platform for developers : build highly scalable cloud solutions with the power of Google Cloud Platform / Ted Hunter, Steven Porter.

Format:

Book

Author/Creator:

Hunter, Ted, author.

Porter, Steven, author.

Language:

English

Subjects (All):

Cloud computing.

Computing platforms.

Real-time data processing.

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

1st edition

Place of Publication:

Birmingham : Packt, 2018.

System Details:

text file

Biography/History:

Hunter Ted: Ted Hunter is a software engineering consultant who with fortune 500 companies to design cloud-native solutions and drive public cloud adoption, primarily within the Google ecosystem. He has a background in full stack development, DevOps transformation, and designing enterprise data solutions. Currently, he is a solution architect at Slalom Consulting, serving clients in the Southeastern United States. Porter Steven: Steven Porter is a Microsoft Regional Director, a Google Certified Cloud Architect, and a consulting technology leader for Slalom Atlanta's Software Engineering practice. His major focus for more than past 5 years has been IT modernization and cloud adoption with implementations across Microsoft Azure, Google Cloud Platform, AWS, and numerous hybrid/private cloud platforms.

Summary:

Develop, deploy, and scale your applications with Google Cloud Platform Key Features Create and deploy your applications on Google Cloud Platform Store and manage source code and debug Cloud-hosted apps with plugins and IDEs Streamline developer workflows with tools for alerting and managing deployments Book Description 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. What you will learn Understand the various service offerings on GCP Deploy and run services on managed platforms such as App Engine and Container Engine Securely maintain application states with Cloud Storage, Datastore, and Bigtable Leverage StackDriver monitoring and debugging to minimize downtime and mitigate issues without impacting users Design and implement complex software solutions utilizing Google Cloud Integrate with best-in-class big data solutions such as Bigquery, Dataflow, and Pub/Sub Who this book is for Google Cloud Platform for Developers is for application developers. This book will enable you to fully leverage the power of Google Cloud Platform to build resilient and intelligent software solutions. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http:...

Contents:

Cover

Title Page

Copyright and Credits

Packt Upsell

Contributors

Table of Contents

Preface

Chapter 1: Why GCP?

The public cloud landscape

Amazon Web Services

Microsoft Azure

Google Cloud Platform

Standing on the shoulders of giants

A world-class global presence

Choosing your own adventure

Leading the way for big data

The Open Cloud and innovation

Dedication to customer success

Bottom-up security

In good company

Summary

Chapter 2: The Google Cloud Console

Getting started - Google Cloud projects

Architectural role of Google Cloud projects

Creating a project

Free trials on GCP

The Google Cloud Console

Understanding the Cloud Console dashboard

The Google Cloud Shell

Launching the Cloud Shell

Supporting multiple sessions

Features and integrations

File management

Web Preview

The Cloud Shell Code Editor

Opening in Cloud Shell

Trying it out

Installing additional tools

Boost mode

Repairing the Cloud Shell

Other tools

Mobile apps

Developer tool integrations

Chapter 3: APIs, CLIs, IAM, and Billing

Google Cloud APIs

Managing APIs

Google APIs Explorer

Trying out the APIs Explorer

The Google Cloud SDK

Installing the Google Cloud SDK

The gcloud command-line tool

The basics of gcloud

Command groups

Root commands

Global flags

Initializing the Google Cloud SDK

Authentication

Managing your Google Cloud SDK

Updating and rollbacks

Alpha and beta channels

Configurations in the Google Cloud SDK

Modifying configuration properties

Multiple configurations

Other command-line tools

bq

gsutil

kubectl

Automating tasks with gcloud

Modifying output and behavior

Formatting attributes

Formatting projections

Filtering

Google Cloud IAM

How IAM works.

IAM roles

The structure of IAM policies

Organization-level policies

Project-level policies

Resource-level policies

Cross-project access

Managing IAM

Service accounts

Billing on Google Cloud

Billing accounts

Billing accounts and IAM

Budgets and billing alerts

Google Cloud Platform Pricing Calculator

Creating an estimate

Chapter 4: Google App Engine

Compute services on the GCP

Google Compute Engine

Google Kubernetes Engine (GKE)

Google App Engine

Google Cloud Functions

General considerations

Features and benefits

Developer velocity

Visibility

Scalability

Simple integrations

Structure of a Google App Engine application

Architecture of an App Engine solution

Microservices

Batch work and task queues

App Engine locations

IAM on the Google App Engine

App Engine service accounts

The standard and flexible environments

Standard environment

Flexible environment

Setting up the App Engine

The App Engine standard environment

Language support

Developing for the App Engine standard environment

The Python runtime

WSGI and CGI

Getting started

The App Engine development server

The Go runtime

Running multiple services locally

The Java 8 runtime

Deploying App Engine standard services

Deployment behavior

Splitting network traffic

Instance classes

Pricing in the standard environment

Spending limits

The App Engine flexible environment

Benefits of the flexible environment

More control over the infrastructure

Application portability

Developing for the flexible environment

Deploying App Engine flexible apps

Container technologies

Google Container Builder

Google Container Registry

Custom runtimes

Building custom runtime services.

Deploying a service to the flexible environment

Pricing in the flexible environment

App Engine resources and integrations

Task queues

Push and pull queues

Push queues

Named queues

Pull queues

Creating tasks

Structuring tasks queues

Scheduled tasks

Deploying a cron definition

Trying the App Engine cron service

Scaling App Engine services

Autoscaling

Basic and manual scaling

Externalizing configuration and managing secrets

Application configuration files

Compute Engine metadata server

Runtime Configurator

Cloud Key Management Service (KMS)

Networking and security

The App Engine firewall

Cloud Endpoints

Google Cloud IAP

Virtual private networks

Chapter 5: Google Kubernetes Engine

Google Kubernetes Engine

When to choose GKE

GKE or App Engine Flex

Creating and maintaining a GKE cluster

Node pools

Multi-zonal and regional clusters

Container Registry

Deploying workloads to GKE

Rolling updates

Rolling back updates

Scaling deployments

Manually scaling deployments

Automatically scaling deployments

Exposing GKE Services

Exposing services within a cluster

Exposing services to external traffic

Managing secrets with GKE

Creating/Storing secrets

Using secrets

Billing

Chapter 6: Google Cloud Functions

Functions as a Service

Advantages of Cloud Functions

Price

Considerations when using Cloud Functions

Invoking Cloud Functions

HTTP functions

Processing HTTP requests

Background functions

Cloud Pub/Sub functions

Cloud Storage functions

Background function retries and termination

Developing Cloud Functions

Using the Cloud Console

Local development

Debugging functions.

Deploying Cloud Functions

Deploying from a local machine

Deploying from a source repository

Integrating with other Google services

IAM and billing

Cloud Functions and IAM

Frameworks and tooling

Chapter 7: Google Compute Engine

Understanding Compute Engine

IaaS

Infrastructure as Code (IaC)

More than virtual machines

When to use Compute Engine

A straightforward migration path

Host anything

Building a robust global presence

Long running and resource intensive processes

Security and compliance

Virtual machines on Google Compute Engine (GCE)

Machine types

Standard machine types

High-memory machine types

Mega-memory machine types

High-CPU machine types

Shared-core machine types

Custom machine types

Extended memory

Other resources

Disk storage

GPUs

Images

Public images

Premium images

Community images

Container images

Managing Compute Engine instances

Creating instances

Remote access

SSH access

SCP access

Remote Desktop Protocol (RDP) access

Metadata server

Default metadata

Project-wide metadata

Instance-specific metadata

Setting and removing metadata

Querying metadata from within instances

Modifying API responses

Startup and shutdown scripts

Startup scripts

Shutdown Scripts

Windows machines

Updates and patches

Availability policies

Maintenance behavior

Restart behavior

Relocating an instance

Storage solutions

Persistent disks

Standard and solid-state drive (SSD) persistent disks

Persistent disk performance

Boot disks

Managing persistent disks

Persistent disk snapshots

Local SSDs

Creating scalable solutions with GCE

Custom images

Creating images from a persistent disk

Copying an image

Creating images from snapshots.

Golden images

Security concerns

Managed instance group (MIG)

Instance templates

Creating MIGs

Built for resilience

Autohealing

Change management

Performing a rolling update

IAM and service accounts

Administrative operations

General roles

Compute resource roles

Network and security resource roles

Compute instance IAM

Pricing on GCE

Instance discounts

Preemptible instances

Committed use discounts

Sustained use discounts

Other resource costs

Always-free tier

Chapter 8: NoSQL with Datastore and Bigtable

NoSQL solutions on GCP

NoSQL technologies

Google Cloud Datastore

When to use Datastore

Datastore locations

Managing entities in the Cloud Console

Datastore core concepts

The structure of Datastore data

Entities, kinds, and properties

Data types

Entity identifiers

Namespaces

Ancestry paths and keys

Entity groups and consistency

Entity groups

Consistency and queries

Working with entities

Queries with GQL

Using GQL in the Cloud Console

Indexes

Single property indexes

Composite indexes

Datastore under the hood

The entities table

Key

Entity group

Kind

Properties

Custom indexes

Index tables

EntitiesByKind

EntitiesByProperty

EntitesByCompositeProperty and Custom Indexes

Datastore management and integrations

Administrative tasks

The Datastore Admin Console

gcloud operations

Integrations with other GCP services

App Engine standard environment

Other GCP services

Datastore pricing and IAM

Permissions in Datastore

Google Cloud Firestore

Comparison to Datastore

A promising future

Google Bigtable

Core concepts

Structure of Bigtable data

Columns and column families

Column families

Scalable and intelligent.

Bigtable under the hood.

Notes:

Description based on print version record.

ISBN:

9781788837675

1788837673

9781788830836

1788830830

OCLC:

1050170129