Google Cloud Functions Fundamentals

By James Wilson
In this course, you will traverse the Google Cloud Functions landscape so you can create high-quality microservices that will enhance the experience of your app or website, while avoiding the common traps associated with them.
Play course overview
Course info
Level
Intermediate
Updated
Aug 28, 2018
Duration
4h 51m
Table of contents
Course Overview
Course Overview 2m
Building Complex Serverless Functions
Installing the Google Cloud SDK 3m Introduction 5m Installing Node.js 3m Creating the Google Cloud Project 3m Runtime Permissions 3m Prerequisites 2m Granting Permissions 2m Module Overview 1m Summary 1m Setting up the Google Cloud SDK 2m
Integrating GCP AI Services Using Cloud Storage Triggers
Smart Images 3m The Tale of Two Functions 4m Testing the Image Tagger 3m Setting up Storage, Datastore, and the Vision API 4m Checking the Cloud Storage Object for Images 3m Cloud Vision API Demo 4m Calling the Vision API and Returning Promises 6m Deploying Image Tagger and Using the GCloud Ignore File 4m Querying Datastore for Existing Entities 5m Initializing the New Project 2m Summary 4m
Cloud Function's Docker Image and File System
Know Your Environment 4m Reviewing the Logs 2m The Recursive Invocation Problem 3m Dealing with High Memory Usage 3m Uploading the Images and Creating Thumbnails 4m Summary 3m The Node.js Docker Image for App Engine and Cloud Functions 2m Executing ImageMagick in Node.js 5m Building the tmp Paths 5m A Cloud Function's File System 5m Wrapping the File System in Promises 5m Putting It All Together 5m Uploading to Cloud Storage and Cleaning up the File System 4m
Capturing Transactions with Cloud Datastore and PubSub Triggers
Summary 2m Viewing the Retry Attemps In Logs 5m From PubSub to Storage 7m Introduction 3m Idempotent Functions 5m Validating the Data in Cloud Storage 2m Deploying with the Retry Flag 2m Publishing Data to the PubSub Topic 2m From PubSub to Datastore 7m Distributed Invocation Problem 4m Reviewing the Client App 4m Creating the Custom Service Account 5m Using the App to Set up Google Cloud 5m
Cron Jobs and Hooking up the Web with HTTP Triggers
30 File Test Run 3m Introduction 2m Downloading Files from Cloud Storage 3m Reviewing Metrics and Analyzing the Design 4m Set up the Cron Job 1m Summary 3m Aggregating the Data 4m Cleaning up Cloud Storage 3m Verifying the Cron Job Is Running 1m Fetch the Datastore Entities 3m 3000 File Test Run 1m Memory and Timeout Issues 6m Updating the Datastore Entities 3m
Taking Control of Logs with BigQuery and Stackdriver
Viewing and Aggregating Logs in BigQuery 6m Cloud Function's Process Environment Variables 1m Installing the Dependencies 2m Introduction 3m Creating an Email Cloud Function 8m Sending a Test Email 1m Filtering with the Custom Log Entry 2m Writing a Custom Log Entry 6m Querying BigQuery from the Function 5m Summary 3m Emailing Data from BigQuery 3m Viewing the BigQuery Email 2m Log Filters and Exporting to BigQuery 8m
Reporting and Monitoring Errors
Course Summary 4m Stackdriver Error Reporting 3m Configuring the Custom Metric 1m Creating a Custom Log Metric 6m Module Summary 2m Introduction 2m Delivering Errors in Functions 2m Cancelling the Cloud Function Retry 5m Viewing the Alert 3m Monitoring Basics 6m
Description
Course info
Level
Intermediate
Updated
Aug 28, 2018
Duration
4h 51m
Description

Developers want to build serverless microservices so they can create new content, reduce maintenance, scale easily, and deliver new features to users faster. In this course, Google Cloud Functions Fundamentals, you will expand your serverless skills to create high-quality Microservices that will enhance the experience of your app or website. First, you will learn to build unique functions that interact with other Google Cloud services such as Cloud Vision and Cloud Datastore. Second, you will discover advanced concepts such as the function's file system, idempotent function design, and working through memory and timeout issues. Finally, you will explore how to properly log errors and set up monitoring for your functions so you can continue to monitor them once they are in production. When you’re finished with this course, you will have a high-level understanding of Google Cloud Functions that will allow you to create unique experiences for your customers.

About the author
James Wilson
About the author

As a mobile developer, James always had a passion for building exciting apps and always striving to make user interfaces that were easy and intuitive to use. Today, he now works at Pendo where he is helping to build tools that can be used to make apps that people love. He is accomplishing this by building distributed systems that scale using Go and Google Cloud. Never satisfied with his knowledge, he is a life-long learner and is always interested in looking to grow and learn and then shares his knowledge with others. James has worked in a wide array of fields whether as a technician working with radar and communication systems or as a developer building on platforms such as .NET, iOS, and Android. In his free time, James enjoys spending time with his family, playing video games, and reading fiction and non-fiction.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone. My name is James Wilson, and welcome to my course, Google Cloud Functions Fundamentals. I am an engineer that is building exciting software on the Google Cloud Platform with products such as App Engine, BigQuery, and Cloud Pub/Sub. Serverless functions are taking the world by storm. While they are easy to set up and automatically scale for you, if used improperly they can cause a lot of headaches and leave you wondering what all the hype is about. In this course, we are going to traverse the Function as a Service landscape so you can create high-quality microservices that will enhance the experience of your app or website, while avoiding the common traps associated with them. Some of the major topics that we will cover include leveraging ten different Google Cloud Platform services; an in-depth look at a function's environment and its file system; analyzing the distributed execution of functions and their impact; building idempotent functions that can be retried again, and again, and again with the same result every time; and finally, advanced error reporting, logging, and monitoring, so once they hit production you are ready to handle any issues that might arise. By the end of this course, you'll know how to build complex, serverless functions all the way from writing the code to setting up monitoring once your function hits production. Before beginning the course, you should be familiar with Node. js or Python, and also how to handle simple operations on cloud functions such as creating, deleting, and deploying them. Check out my course, Google Cloud Functions: Getting Started, to prepare yourself. I hope you'll join me on this journey to learn how to build complex serverless functions with the Google Cloud Functions Fundamentals course at Pluralsight.

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