What is Google Cloud?

Key Takeaways

hi my name is Ryan and this is an introduction to Google Cloud this video is great for anyone new to Google Cloud who's interested in learning more in the next few minutes we'll talk about what Google cloud is and how it can help you as a developer ready let's get [Music] started cloud computing is all about getting things done using someone else's computers so when you use Google Cloud you're getting things done using Google's computers Google Cloud lets you build and host Applications store data and analyze data all in Google's highly scalable and reliable Computing infrastructure Google's data centers which are located all around the world house the compute storage and networking capabilities that power Google's own products and services including search Gmail and YouTube with Google Cloud Google is basically sharing these Computing Resources with developers like yourself so you can build and run applications using Google's Computing infrastructure one of the key advantages of cloud computing is scale take an example of a retailer looking to set up a database to help manage their inventory pricing and demand across thousands of stores internationally one of the biggest challenges in retail is figuring out how to handle massive seasonal spikes during the holiday season if you were to try to set up and manage your own on- premise database it would likely be expensive and inefficient to provision additional Hardware to do so you have to pay large upfront costs to set up the additional database infrastructure which you wouldn't even need for most of the Year you'd also need to worry about implementing your own complicated database charting strategy managing backups meeting performance requirements and securing the entire thing or you could use a fully managed database like Cloud spanner where all this is managed for you Google Cloud would manage scaling for you so that you only pay for the data storage you actually need Google cloud has hundreds of different products and services that solve problems shared by developers all around the world while it would take me hours to talk about every single one here's a look at several different ways that these products can help you as a developer one of the first things you may want to do when trying out a cloud platform is hosting your code in applications compute engine gives you virtual machines that run in Google data centers with Cloud run you can deploy containerized applications on a fully managed serverless platform and with app engine you can deploy highly scalable web apps and other backend Services next you probably want to store data some of it structured some of it unstructured cloud storage is perfect for unstructured data like images videos and audio files cloudsql hosts Google managed versions of MySQL postgress and SQL Server you can run the same relational databases you know without all the hassles of self-management cloud buyer store is a nosql document based real-time datab it's popular for use cases like gaming where it's very important for users to have the most up-to-date version of data in real time then there are AI machine learning tools which can be helpful if you are an experienced machine learning developer but also if you know zero machine learning but still want to take advantage of Google's AI Technologies for your own applications suppose you have images lots of images in your application and you want to enhance your application by knowing what's in each image Vision AI provides an API that will take an image and run object section find landmarks extract text and more allowing your users to use that information in your app or maybe you want to analyze user comments in your application using natural language processing with Cloud natural language you can analyze a piece of text and get information about its entities sentiment syntax and content categorization and if you want to build and deploy your own machine learning models you can do that as well vertex AI is Google Cloud's unified machine learning platform for training hosting and managing machine learning models one great aspect of Google cloud is the opportunity to seamlessly integrate multiple products to suit your own unique use case say that you're building a new social networking site for dogs you could start out by storing profile photos in cloud storage then you could set up a cloud firestore database to store other profile information like dog names locations and hobbies next you could use Vision AI to detect objects in each photo like balls stuffed animals and Bones these machine learning power Data Insights might help your users find other furry friends with similar interests and finally you could deploy your application to the web using Cloud run this would make it easy for your app to scale automatically as you gain more users so there you have it an overview of what Google cloud is and some of the different products you may be interested in as a developer stay tuned for more episodes of Google Cloud Essentials where we'll cover the Google Cloud console the Google Cloud CK the free trial key use cases and more I can't wait to see what you build with Google Cloud