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Optimizing Your GCP Costs

This is the second Quest in a two-part series on GCP billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your GCP costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your GCP costs or to influence your technology teams to apply the cost optimization best practices.

Anthos: Service Mesh

This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.

DevOps Essentials

DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this quest you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five multiple-choice question quiz and find out!

Applied Data: Blockchain

Blockchain and related technologies such as distributed ledger and distributed apps are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. As this Quest utilizes advanced SQL in BigQuery, we've added a SQL-in-BigQuery refresher lab at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.

Cloud Healthcare API

Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.

Understanding Your GCP Costs

This Quest is most suitable for those working in a technology or finance role who are responsible for managing GCP costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your GCP costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Data Studio.

OK Google: Build Interactive Apps with Google Assistant

With Google Assistant expected to be part of over a billion consumer devices by the end of this year, this Quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. Over the course of 5 labs, you will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required -- these labs use the cloud-based Google Assistant simulator environment for developing and testing -- but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.

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A Tour of Qwiklabs and the Google Cloud Platform

In this first hands-on lab you will access Qwiklabs and the Google Cloud Platform Console and use the basic GCP features: Projects, Resources, IAM Users, Roles, Permissions, APIs, and Cloud Shell.

Exploring Google Ngrams with Amazon EMR

This lab demonstrates how to launch an Amazon Elastic MapReduce (EMR) cluster for Big Data processing and use Hive with SQL-style queries to analyze data. You will create a Hadoop cluster using Amazon EMR which will allow to run interactive Hive queries against data stored in Amazon S3. You will use Hive to normalize the data in a more useful way, and you will run queries to analyze the data.

AWS Identity and Access Management (IAM) 简介

本实验向您展示了如何使用 AWS Identity and Access Management (IAM) 来管理对 AWS 服务的访问和权限。练习以下步骤：向组中添加用户、管理密码、以 IAM 创建的用户身份登录和查看 IAM 策略对访问特定服务的影响。

使用CloudFormation创建Amazon Virtual Private Cloud(VPC)

本实验展示如何实验CloudFormation来创建亚马逊Virtual Private Cloud（VPC）。注意：本实验更像是一个分步骤展示，而非学习如何创建它。你将查看AWS CloudFormation模版，并了解到模版内每一部分的解释。你将运行该模版来创建一个包含4个子网，跨越2个可用区，包含一个NAT服务器的VPC（NAT服务器允许在私有子网的服务器访问互联网来下载软件包和更新）

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Getting Started with Blockchain on GCP using Hyperledger Fabric and Composer

In this lab, you will learn to use Hyperledger Composer to quickly model a business network, containing assets, participants and transactions related to them.

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Monitoring a Live Streaming Workflow with Amazon CloudWatch

An important part of any video workflow is being able to monitor the status and health of the software services and their tasks in order to detect and correct problems before they jeopardize the workflow. In this lab, you will use Amazon CloudWatch to monitor a live streaming video workflow built with AWS Elemental MediaPackage, AWS Elemental MediaPackage, and Amazon CloudFront.

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Working with AWS CodeCommit

In this lab, you will learn how to create a code repository in AWS CodeCommit. Then you create a local repository using git on a Linux instance running in EC2, add files to it, and commit changes to the AWS CodeCommit repository. Prior to running this lab, it is assumed the student understands the principles of source code repositories, and has some prior development experience. Students should be comfortable with making ssh connections to instances running in Amazon EC2, and using Linux commands and editors from the command line in Linux. The student should have taken at a minimum Introduction to Amazon Elastic Compute Cloud (EC2) prior to taking this lab.

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Hardening Default GKE Cluster Configurations

This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation

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Introduction to Amazon DynamoDB

This lab teaches you about Amazon DynamoDB and walks you through how to create, query, view and delete a table in the AWS Management Console. For a demonstration, go to: https://www.youtube.com/watch?v=ujWV3-m1pLo For the lab to function as written, please DO NOT change the auto assigned region.

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