Google Cloud Platform

Google Cloud Platform; here is a note about mastering and working with cloud offerings. those are industrial offerings. although we can be signing up as new users of the Google Cloud and we will have access to the loose tier, which we're going to use for the duration of this course, new users get $three hundred in US greenbacks in credit score once they first join up. it is essential to watch that credit score because you do have to provide your credit card when you sign on. And, in case you go past that $300, then you may incur prices. So, you need to keep in mind to turn off and/or delete offerings such as virtual machines and databases when you're finished trying them out. that is important. I’ve had college students run up bills that might be in the thousands of bucks. So, it's why I desired to consist of notice about this. Please don't forget to watch your charges, because you are using a business service while you're studying. So, let's get commenced expertise in the Cloud services presented through Google. 

Services Offered 

The Google Cloud Platform or GCP has more than 50 offerings at the time of this recording. So, as I like to do while I’m looking at big groups of services, I am going initially to high-level classes so we can begin to understand where those services are, what they do, and how you would possibly use them. 
So, at the pinnacle degree, the offerings are presented in these 3 agencies. Compute, which has to do with virtual machines and more. garage, which is storage for files and information. And other services. And this is the entirety of networking to system studying. 

Docker

Let's take a closer look at computing services on GCP or Google Cloud Platform. 
Classify again within this class and subdivide into 
these three subcategories. Virtual machines, container packaging, field management. It is also called Docker. Technically, docker is a kind of container. We explore it in many places because it is a very important area in terms of service development and customer inquiries. In addition, a completely new element of computing services is available on Google Cloud. At the time of this recording, it is still in an alpha state. 
However, Google plans to make this available as standard by 2017. These are called Google Cloud Features, also known as Lambda or serverless computing. 

Data offering  and storage

The following categories of services available on Google Cloud or GCP relate to facts. And there are sections. I 
have primary documents and facts. consequently, we will check with it as a reminiscence in this segment. those services additionally revolve around storing files in both hot or frequently accessed documents and cold or archived file garages. 
It additionally has the potential to save chronic disks for digital machines, a kind of hot report garage, but categorized as a separate class because of the one-of-a-kind get admission to methods. documents, archive shops, and persistent disks consequently belong to this class. subsequent is the information. it's thrilling why GCP wrote this hierarchy in this order. most of the people in the sector still shop for facts in Google's relational databases or his RDBMS device, however relational databases are simplest used on a secondary foundation. that is as it has historically been tough to scale to the extent of records that Google indexes throughout the internet. As such, the first data-centric merchandise delivered in GCP was NoSQL or sooner or 
later constant, but quite to be had, pretty scalable. And that is nonetheless pondered in the product variety today. So that 
is a massive differentiator between GCP and some of its cloud competition, in particular Amazon. That said, Google has its 
RDBMS products and I’ll talk about them, however, they're particularly strong in his NoSQL category. moreover, Google offers products that are very appealing within the Hadoop and Apache Spark ecosystems, which we can additionally take into account. 
 

Huge Services 

The next service group to consider for Google Cloud is supporting big data solutions. These include Data pipelines, or the ability to chain different data services in processing data across different workloads. Data Warehousing, i. H. Ability to set up very large data stores to hold read-only or infrequently updated corporate reports. Data science notebooks are new to the field and are moving from the academic world to the commercial world. These are IPython (now Jupyter) notebooks. They are interactive web pages that allow both computation and data visualization, usually related to probabilistic analysis. These fit very well with the machine learning that Google is starting to create. 
Here is a very exciting area related to services and a lot of new content that this course will cover. Taken together, this is Google's rendering of the taxonomy when looking at the 50+ services available on GCP at the time of this recording. As you can see, they have computing services, and I have demonstrated a high level of computing. They have some ID services, and I'll talk about them in their network. They have the big data I was talking about, storage and databases, and machine learning. And that's only about 2/3 of what's offered. 
It has been very exciting to see the growing variety of services that Google is making available on the cloud.