Cloud-Experte werden – mit praxisorientierten Schulungen

Google Cloud Run Serverless Workshop

Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution.

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.

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.

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.

Beliebte Labs

Einführung in Qwiklabs und die Google Cloud Platform

In diesem Lab rufen Sie Qwiklabs und die Google Cloud Platform Console auf und verwenden die grundlegenden Features der GCP: Projekte, Ressourcen, IAM-Nutzer, Rollen, Berechtigungen, APIs und Cloud Shell.

Virtuelle Maschine erstellen

In diesem Lab lernen Sie, wie Sie in Google Compute Engine virtuelle Maschinen erstellen. Außerdem erfahren Sie mehr über die Funktionsweise von Zonen, Regionen und Maschinentypen. Sehen Sie sich vorab dieses kurze Video an.

Einführung in Cloud Shell und "gcloud"

In diesem praxisorientierten Lab erfahren Sie, wie Sie über das Internet eine Verbindung zu Rechenressourcen herstellen, die auf der Google Cloud Platform gehostet werden. Außerdem lernen Sie, wie Sie Cloud Shell und das Cloud SDK-Befehlszeilentool "gcloud" verwenden. Sehen Sie sich dieses kurze Video an: Get Started with Cloud Shell, GCP Essentials.

Netzwerk- und HTTP-Load-Balancer einrichten

In diesem Lab lernen Sie, wie Sie Netzwerk- und HTTP-Load-Balancer für eine Anwendung einrichten, die auf virtuellen Maschinen in Google Compute Engine ausgeführt wird. Sehen Sie sich vorher dieses kurze Video an.

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Working with Alexa: Build a How-To Skill

In this lab, you will create an example Alexa skill, then build an AWS Lambda Function in Node.js to execute the skill, and then test in the Amazon Developer Portal. The Developer Portal provides testing tools that work in a browser, so you do not need an Alexa device for this lab. Prerequisites: To successfully complete this lab, you should be familiar with AWS Lambda through taking the introductory lab. Node.js and JSON coding is needed, but full solution code is provided. You will need to have/create a no-cost, no-credit-card-required account in the Amazon Developer Portal. Familiarity with the Amazon Developer Portal and the Alexa Skills Kit is helpful, though not required.

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Create a Custom Network Using Deployment Manager

This lab creates a complex Deployment Manager (DM) configuration for deploying a custom network resource in Google Cloud Platform. It also explains the basic fundamental block of developing a Deployment Manager.

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Build a Serverless Web App with Firebase

In this lab you will create a serverless web app with Firebase, which allows users to upload information and make appointments with the fictional Pet Theory clinic.

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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 EC2

This lab provides you with a basic overview of launching, resizing, managing, and monitoring an Amazon EC2 instance.

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