Google Cloud Fundamentals
What you'll learn
- Google Cloud Products and Solutions
- Computing and Serverless Computing
- Kubernates and Containers
- AI infrastructure and Services
- Database integrations and API Management
- App engine and Internet of Things Essentials
- Beginner Friendly
You've heard the term "cloud-native development," which embraces the idea that an application intended to run on a public cloud platform may be designed, tested, and deployed there, to begin with.
Google Cloud is a suite of Cloud Computing services offered by Google. The platform provides various services like compute, storage, networking, Big Data, and many more that run on the same infrastructure that Google uses internally for its end users like Google Search and YouTube.
Google server hasn’t gone down in years. So, if you are planning to run your application on the Google Cloud infrastructure, then you can be assured of your applications being safe and secure.
Google Cloud has been expanding across the globe. The reason is the wide array of services it offers to its users:
Google Cloud Compute Services
Google Cloud Storage Services
Big Data Services
Security and Identity Management
Health Care APIs
Server less Computing
Reliability is first and foremost. I can hardly remember if my VM instance ever restarted without my having initiated it.
ability to issue and manage SSL certificates for you automatically.
Google Cloud has storage “buckets” where you can put your files so they are not stored on a particular server. A bucket can be public, so you can store public images there, for example. Or a bucket can be secured, so you read and write files through a server. This is how you can store invoices and any other secured documents.
VM instance and deploy extra instances.
Who this course is for:
- Learners curious about Google Cloud Platform
About Creator: DevOps Consultant and researcher with expertise in leading technologies from Edge Computing to VR & AR.
IBM Z/OS Mainframe practitioner
Linux and Private Cloud Administrator on IBM Power Systems
Tensor flow Developer
b) Linux and Private Cloud administration
C) AWS and Azure