Cloud Computing Fundamentals

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Hi Jaison, does this article belong to the 4articles4weeks writeathon? If yes, please tag it with the proper week too.
Thank you.
In this series we will discuss cloud computing basics and other cloud computing concepts from the AWS Solution Architect Associate perspective.
Hello!!! In this next post in the AWS SAA series, we will discuss about the different cloud deployment models. There are atleast 4 deployment models: Public Cloud Multi Cloud Hybrid Cloud Private Cloud All major cloud service providers have a publi...
Hello everyone. Welcome Back to the series after a very long time. The delay wasn’t intentional but it so happened. Hoping to be consistent henceforth. In the previous article of the series, we discussed in brief all the three ways. Now in this one, ...

Welcome back to the AWS SAA series. We will continue from where we left in the last blog. Buckets aren’t encrypted. But Objects are. Each object could be using different encryption settings. There are two main types of encryption at rest: Client sid...

The next topic in our series would be about Key Management Service before we can discuss how encryption happens in the S3 buckets. This is a separate topic in itself. Lets start. AWS Key Management Service (AWS KMS) lets us create, manage, and contro...

Hello there, continuing with our series, lets look into AWS S3 Performance optimization w.r.t uploads Single PUT upload This is the S3 Default upload method The data is transferred in a single stream to S3 A file becomes an object and is uploaded usi...

Object versioning is a feature which can be enabled on an S3 bucket - allowing the bucket to store multiple versions of objects These objects can be referenced by their version ID to interact directly - or omit this to reference the latest version of...

We are starting a new series on the AWS Cloud Computing Platform from an Associate Solution Architect perspective. We will try to update it when we discuss it at the professional level.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model is composed of five essential characteristics, three service models, and four deployment models.
5 Characteristics that make any system cloud
A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.
OR
The customer can provision capabilities (i.e features, products) as required automatically without needing human interaction
Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations).
The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, and network bandwidth. Resources are pooled to serve multiple customers using a multi-tenant model This characteristic deals with abstraction and economies of scale
Economy of scale: The cost advantage that a company gains when it increases its production. As quantity of goods increase, the per unit cost the goods decreases. In cloud computing context, this means that the SP buys larger number of devices for a pool of customers and can maintain larger buffer for growth The customer can make use of the devices when needed and stop using it when there is lesser demand. The vendor or service provider manages the capacity But there is data isolation so that the data of one customer is not visible to another
Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.
OR
Capabilities(Resources) can be elastically provisioned and released to scale rapidly outward and inward with demand. To the customer the capabilities available for provisioning often appear to be unlimited. Cost also increases and decreases appropriately with demand. Elasticity also means under provisioning that leads to performance issues to customers and over-provisioning which leads to financial wastage, can be avoided.
Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service.
OR
Resource usage can be monitored, controlled, reported and billed. Provide on-demand billing