Is a leading cloud-computing platform.

(a)  

It began by leasing in-house developing services, starting with S3 (object storage) and EC2 (elastic compute cloud).

(a)  

What is S3?

(a)  

What is EC2?

(a)  

In 2018, AWS generated over (a)   in revenue

AWS generated over $25 billion in revenue in what year?

(a)  

It was a growing at a rate of nearly (a)   each year.

Has data centers worldwide, divided into 69 availability zones and 22 geographic regions.

(a)  

AWS has data centers worldwide, divided into availability zones and geographic regions.

(a)  

Each region provides ____________ and _________, and each ________________ is an isolated partition with redundant infrastructure.

(a)  

offers over 100 services catergorized into IaaS, PaaS, and SaaS.

(a)  

AWS offers over ___ services, categorized into ____, ____, and ____.

(a)  

The primary compute solution is?

(a)  

Providing virtual machines for hourly or longer-term rentals.

(a)  

can be managed through AWS EC2 APIs or services like AWS Auto Scaling.

(a)  

provides block storage, attachable to EC2 instances.

(a)  

offers object storage with HTTP APIs.

(a)  

Provides various database services, includes RDS, DynamoDB, and ElastiCache.

(a)  

AWS provides various database services, including?

(a)  

Manage connectivity between instances and services in AWS and the outside world.

(a)  

Offers a suite of platforms for analytics (EMR, Kinesis, and Redshift).

(a)  

Platforms for analytics.

(a)  

Is facilitated by AWS Elastic Beanstalk.

(a)  

Helps manage and control cloud deployments.

(a)  

includes a variety of SaaS products, especially in machine learning and AI.

(a)  

Examples of Saas Products of AWS.

(a)  

Fastest growing cloud platform with impressive revenue numbers.

(a)  

Available in 140 countries with data centers in over 50 locations globally.

(a)  

Microsoft Azure is available in ___ countries with data centers in over __ location globally.

(a)  

Allows organizations to build private clouds connected to the Azure public cloud.

(a)  

Enables highly automated internal data centers with shared resources.

(a)  

Offers more than 100 IaaS, PaaS, and SaaS services.

(a)  

Microsoft offers more than (a)   services.

for running Windows or Linux.

(a)  

For auto-scaling in response to demand.

(a)  

includes Blobs, Tables, Queues, and Files.

(a)  

Azure Storage includes?

(a)  

Managed relational database services.

(a)  

NoSQL database service.

(a)  

is a local SSD/HDD storage array that integrates with Azure to provide a hybrid storage solution, and that connects to Azure for backup, analytics, and cloud deployment.

(a)  

for virtual private networking.

(a)  

For dedicated fiber connectivity to Microsoft's data centers.

(a)  

can be used to route traffic to Azure Virtual Machines based on location, performance, and other criteria, as well as to perform DNS-based load balancing.

(a)  

expands on Traffic Manager's capabilities to let you define, manage, and monitor global routing for web traffic by optimizing for best performance and instant global failover.

(a)  

Microsoft PaaS products.

(a)  

which is a managed Hadoop cluster service similar to Amazon's EMR

(a)  

which is a managed Hadoop cluster service similar to Amazon's EMR

(a)  

which offers per-job pricing for analyzing and transforming massive quantities of data.

(a)  

Microsoft SaaS Services

(a)  

which is a set of services and APIs for incorporating artificial intelligence into apps;

(a)  

for building, deploying, and versioning machine-learning models;

(a)  

which provides a browser-based, drag-and-drop interface for building, training, and testing machine-learning models.

(a)  

initially offered only PaaS products and APIs

(a)  

Google's most powerful products

(a)  

has since diversified into multiple services in response to the offerings of its competitors.

(a)  

It has approximately 60 data centers around the world grouped into 20 regions

(a)  

GCP has approximately around the world grouped into (a)  

Google's primary IaaS platform

(a)  

which supports Linux virtual machines of various sizes

(a)  

which provide highly affordable, short-lived compute instances to handle spikes in demand, batch jobs, and fault-tolerant workloads.

(a)  

Google three primary storage services

(a)  

an object storage service similar to AWS S3 and Azure Blobs.

(a)  

is a managed NoSQL data-store service that allows users to store non-relational data with high scalability, but optionally supports transactions and SQL queries on your data.

(a)  

Google offers a traditional managed SQL database service

(a)  

Google offers several networking products to manage the connections between Google's cloud services and the outside world

(a)  

boasts that its entire infrastructure is carbon-neutral, with its data centers consuming 50% less energy than typical data centers.

(a)  

Google's primary PaaS offering

(a)  

which provides a fully managed serverless platform for hosting applications similar to AWS Elastic Beanstalk and Azure App Service.

(a)  

Google offers data analytics platforms

(a)  

which allows users to run SQL-like queries against multi-terabyte datasets.

(a)  

allows developers to deploy RESTful APIs that provide services to other applications.

(a)  

offers some of the world's most popular SaaS services

(a)  

Google SaaS Services

(a)  

are available as APIs, enabling developers to integrate these services their own applications.

(a)  

provides a hosted repository of plug-and-play AI components

(a)  

offers Jupyter notebooks as a service

(a)  

outfitted optimized for building and training deep-learning models,

(a)  

a machine-learning toolkit for Kubernetes.

(a)  

is a popular open-source container-orchestration tool that was originally developed by Google and is now maintained by the Cloud Native Computing Foundation.

(a)  

The initial investment for a particular IT service or solution.

(a)  

For example, when an organization decides to implement a software solution to address a particular need -- for example, enterprise resource planning (ERP)

(a)  

would include all physical hardware and software purchases.

(a)  

investments are for the lifetime of the solution.

(a)  

are an up-front expense, which are either paid as a lump sum or financed with extra charges.

(a)  

The recurring costs incurred while operating a particular system.

(a)  

For the ERP case, that would include utility fees (such as power and cooling) to keep the infrastructure running, space leases if the facility is rented, personnel costs to support the system, and software support and license fees.

(a)  

are typically a monthly recurring charge.

(a)  

The business model for IT software has evolved over the years into the following forms:

(a)  

1. An organization purchases licensed software, which it then owns and maintains.

1. Software is essentially free, but the organization pays vendor support costs.

1. An organization hires another company, possibly overseas, to manage and maintain the software.

1. A software vendor sells highly standardized software to many clients, along with software management and support, thereby amortizing costs of expertise, software management, and support across several clients.

1. Software is developed and delivered over the Internet to many clients at lower costs.

offers a transition of the IT business model from CapEx to OpEx.

(a)  

in IT systems is a long-term investment that freezes a large sum of money into a single investment.

(a)  

on the other hand, is a recurring expense which could enable the company the agility to utilize the funds in other profit-yielding investments.

(a)  

build large and reliable data centers in order to attract large volumes of users and maximize their profitability

(a)  

Cloud service providers organize their infrastructure into large data centers, which typically leverage three main areas:

(a)  

• Large-scale data centers lower the cost per server.

• Aggregating demand for computing allows server utilization rates to increase.

• When changing to a multitenant application model, increasing the number of tenants (that is, customers or users) lowers the application management and server cost per tenant.

Providers benefit from economies of scale in the following areas:

(a)  

• Electricity is rapidly becoming the largest element of total cost of ownership (TCO) in a data center, accounting for approximately 15% to 20% of total costs. Large cloud service providers can place their data centers in locations with lower power costs and sign bulk purchase agreements with electric providers to reduce electricity costs. In some cases, they are building their own power supplies that leverage advancements in solar energy and other green energy sources.

is rapidly becoming the largest element of total cost of ownership (TCO) in a data center, accounting for approximately 15% to 20% of total costs.

(a)  

• Cloud computing enables repetitive management tasks to be automated. In addition, in larger facilities, a single system administrator can service thousands of servers with the use of advanced management software.

Cloud service providers can purchase equipment in bulk from manufacturers, which can lead to major discounts over smaller buyers. In addition, cloud providers standardize their servers and equipment, which helps in lowering purchase and support costs compared to smaller IT departments

(a)