Hello, I'm Philipp Maier. I'm Mylene Biddle. We're both course developers at Google Cloud. We want to welcome you to architecting with Compute Engine, a series of three courses. Before we start using all of the different services that Google Cloud Platform, or GCP offers, let's talk about what GCP is. When you look at Google Cloud, you'll see that it's actually part of a much larger ecosystem. This ecosystem consists of open-source software, providers, partners, developers, third-party software, and other Cloud providers. Google is actually a very strong supporter of open-source software. That's right. Now Google Cloud consists of Chrome, Google Devices, Google Maps, Gmail, Google Analytics, G Suite, Google Search, and the Google Cloud Platform. GCP itself is a computing solution platform that really encompasses three core features, infrastructure, platform, and software. This map represents GCP's global infrastructure. As of this recording, GCP's well provisioned global network connects over 60 zones to over 130 points of presence through a global network of fiber optic cables. Google is continuously investing in this network with new regions, points of presence, and sub-sea cable investments. On top of this infrastructure, GCP uses state of the art software defined networking and distributed systems technologies to host and deliver your services around the world. These technologies are represented by a suite of Cloud-based products and services that is continuously expanding. Many of the products and services are represented by unique blue hexagonal logos, such as the ones shown here. Now, it's important to understand that there is usually more than one solution for a task or application in GCP. To better understand this, let's look at a solution continuum. Google Cloud Platform spans from Infrastructure as a Service or IaaS to Software as a Service or SaaS. You really can build applications on GCP for the web or mobile that are global, auto-scaling and assistive and that provides services where the infrastructure is completely invisible to the user. It is not just that Google has opened the infrastructure that powers applications like Search, Gmail, Google Maps, and G Suite, Google has opened all of these services that make these products possible and package them for your use. Alternative solutions are possible. For example, you could start up your own VM in Google Compute Engine, install open source MySQL on it and run it just like a MySQL database on your own computer in a data center. Or you could use the Cloud SQL service which provides a MySQL instance and handles operational work like backups and security patching for you, using the same services Google does, to automate backups and patches. You could even move to a NoSQL database that is auto-scaling and serverless so that growth no longer requires adding server instances or possibly changing the design to handle the new capacity. These series of courses focuses on the infrastructure. An IT infrastructure is like a city infrastructure. The infrastructure is the basic underlying framework of fundamental facilities and systems, such as transport, communications, power, water, fuel, and other essential services. The people in the city are like users, and the cars and bikes and buildings in the city are like applications. Everything that goes into creating and supporting those applications for the users is the infrastructure. The purpose of this course is to explore as efficiently and clearly as possible, the infrastructure services provided by GCP. You should become familiar enough with the infrastructure services that you will know what services do and how to use them. We won't go into very deep dive case studies on specific vertical applications, but you'll know enough to put all the building blocks together to build your own solution. Now, GCP offers a range of compute services. The service that might be most familiar to newcomers is Compute Engine, which lets you run virtual machines on demand in the Cloud. It's Google Cloud's Infrastructure as a Service solution. It provides maximum flexibility for people who prefer to manage server instances themselves. Google Kubernetes Engine lets you run containerized applications on a Cloud environment that Google manages for you under your administrative control. Think of containerization as a way to package code. This is going to be highly portable and to use resources very efficiently. Think of Kubernetes as a way to orchestrate code in containers. App Engine is GCP's fully managed, Platform as a Service framework. That means it's a way to run code in the Cloud without having to worry about infrastructure. You just focus on your code and let Google deal with all the provisioning and resource management. You can learn a lot more about App Engine in the developing applications with Google Cloud Platform, Core Series. Cloud Functions is a completely serverless execution environment or Functions as a Service. It executes your code in response to events, whether those events occur once a day or many times per second. Google scales resources as required, but you only pay for the service while your code runs. The developing applications with Google Cloud Platform Core Series also discusses Cloud Functions. In this series of courses, Compute Engine will be our main focus. The architecting with Google Compute Engine courses are part of the Cloud infrastructure learning path. This path is designed for IT professionals who are responsible for implementing, deploying, migrating, and maintaining applications in the Cloud. The prerequisite for these course is the Google Cloud Platform fundamentals, Core Infrastructure course which you can find in the link section for this video. The architecting with Google Compute Engine series consists of three courses. Essential Cloud Infrastructure, foundation, is the first course of the architecting with Compute Engine series. In that course, we start by introducing you to GCP and how to interact with the GCP console and Cloud Shell. Next, we'll get into virtual networks and you will create VPC networks and other networking objects. Then we'll take a deep dive into virtual machines and you will create virtual machines using Compute Engine. Essential Cloud Infrastructure: Core Services, is the second course of this series. In that course, we start by talking about Cloud IAM and you will administer identity and access management for resources. Next, we'll cover the different data storage services in GCP and you will implement some of those services. Then we'll go over resource management, where you will manage and examine billing of GCP resources. Lastly, we'll talk about resource monitoring and you will monitor GCP resources using Stack driver services. Elastic Cloud Infrastructure: scaling and automation, is the last course of the series. In that course, we'll start by going over the different options to interconnect networks to enable you to connect your infrastructure to GCP. Next we'll go over GCP's load balancing and auto-scaling services, which you will get to explore directly. Then we'll cover infrastructure automation services like Deployment Manager and Terraform, so that you can automate the development of GCP infrastructure services. Lastly, we'll talk about other manage services that you might want to leverage in GCP. Now our goal for you is to remember and understand the different GCP services and features, and also be able to apply your knowledge, analyze requirements, evaluate different options, and create your own services. That's why these courses include interactive hands-on labs through the Qwiklabs Platform. Qwiklabs provisions you with a Google account and credentials so that you can access the GCP console for each lab at no cost.
