Introduction to AWS, AZURE and Google C.pptx

Introduction to
MS Azure, AWS and GC
BY: FAIZAN IRSHAD

Major Cloud Computing Players
 The cloud computing market continues to grow, and is projected to
reach $2432.87 billion by 2030.
 In this massive market, three cloud providers—Amazon Web Services
(AWS), Google Cloud Platform (GCP), and Microsoft Azure—make up a
combined 64% of the cloud market share.
 Other major players include Alibaba Cloud, Oracle Cloud, IBM Cloud
(Kyndryl), Tencent Cloud and OVHcloud etc.

Amazon Web Services
 Amazon Web Services (AWS) is the cloud infrastructure provider from Amazon.
AWS was founded in 2006 and is now the leading cloud provider in the world,
with a market share of 32% in Q1 2023.
 AWS offers a wide range of services, including compute, storage, networking,
databases, analytics, machine learning, and artificial intelligence.
 AWS offers computer resources and services that may construct
applications in minutes at pay-as-you-go prices. For example, you can rent
a server on AWS to connect to, configure, protect, and run just like a
physical server. The distinction is that the virtual server runs on top of an
AWS-managed planet-scale network.
 AWS is used by a wide range of businesses, from small businesses to large
enterprises. Notable users of Amazon Web Services (AWS) are Coursera,
Expedia, Netflix, Coinbase, Formula 1, Intuit, Airbnb, Lyft, Food and Drug
Administration (FDA) and Coca Cola.

Amazon Web Services (AWS)
• AWS provides a vast array of computing resources,
including Amazon EC2 (Elastic Compute Cloud), which offers
scalable virtual private cloud for a wide range of use cases.
• EC2 provides various instance types, each optimized for specific
workloads such as general-purpose, memory-intensive, and GPU-
powered instances.
• AWS also offers serverless computing with AWS Lambda, enabling
developers to run code without provisioning or managing servers.

AWS Data Centers
• AWS operates a vast global network of over 200 data centers spread
across multiple geographic regions, covering North America, Europe,
Asia, Australia, and South America.
• They have the largest number of data centers among the three
hyperscaler cloud providers, with a significant presence in regions like
Northern Virginia, Oregon, and Frankfurt.
• AWS’s extensive data center infrastructure enables businesses to
deploy resources closer to end-users, reducing latency and improving
performance.

AWS Key Tools
 Artificial Intelligence and Machine learning:
AWS has released Gluon. This open-source deep-learning library
allows developers and non-developers to build neural networks
without prior knowledge of AI. DeepLens is an AI-powered
camera that may create and implement machine learning
algorithms for optical character recognition, image
identification, and object recognition.
 SageMaker to Serverless:
SageMaker is another AWS service used to train and deploy
machine learning models. It also includes the Lex conversational
interface, enabling Alexa services, Greengrass IoT messaging,
and Lambda serverless computing.

Microsoft Azure
 Microsoft Azure, which was first launched in 2010 from the Microsoft
Corporation, is the second-largest cloud provider in the global cloud
market, with a market share of 23% in Q1 2023. Azure offers a wide
range of services, similar to AWS, but specializes in Windows-based
computers and works well with other Microsoft services.
 Microsoft Azure is a public cloud platform that provides
infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) solutions for analytics, virtual
computing, storage, networking, and other services. It can
enhance or replace your on-premise servers.
 Notable users of Microsoft Azure include Bosch, Audi, ASOS,
HSBC, Starbucks, Walgreens, 3M, FedEx, Walmart, HP, Mitsubishi
Electric and Renault.

Microsoft Azure
• Azure offers similar computing resources with its Virtual Machines
(VMs) service, providing scalable and flexible virtualized computing
environments.
• Azure Virtual Machines offer a variety of instance sizes to
accommodate different workload requirements, including memory,
compute, and storage optimized instances.
• Additionally, Azure provides Azure Functions for serverless computing,
allowing developers to run event-driven functions without worrying
about underlying infrastructure.

Azure Data Centers
• Azure cloud has an extensive network of data centers worldwide,
offering services in more regions compared to AWS and GCP.
• Microsoft continues to expand its data center footprint, with a
strong presence in North America, Europe, Asia, and Australia.
• Azure’s data centers are integrated with Microsoft’s extensive
network backbone, ensuring high-speed data transfer and low-
latency connectivity.

Azure Key Tools
 Cognitive Services: Bing Web Search API, Face API, Computer Vision API, and
Custom Vision Service are among the cognitive services available. Microsoft
offers many IoT management and analytics services and functions, and a
serverless computing solution.
 Supporting MSFT Software: Azure includes several solutions that support
Microsoft products installed on-premises. Windows Server Backup in Windows
Server 2012 R2 and Windows Server 2016 linked to Azure Backup. Visual
Studio projects are hosted on Azure by Visual Studio Team Services.

Google Cloud
 Google Cloud Platform (GCP) was started by Google in 2011 and is the third-largest
cloud provider in the world, with a market share of 9% in Q1 2023. GCP offers a wide
range of services, similar to AWS and Azure, however has fewer data centers than AWS
and Azure and has solutions that are considered friendly for DevOps.
 GCP offers enterprises all around the world infrastructure as a service (IaaS),
platform as a service (PaaS), and software as a service (SaaS). GCP, for example, is
primarily a service for developing and maintaining original applications that can
then be published from its hyper-scale data centers.
 Notable users of Google Cloud Platform (GCP) include Toyota, Equifax,
Spotify, The Home Depot, Target, Twitter, Paypal and UPS.

Google Cloud Platform
• GCP’s computing resources are available through Google Compute Engine,
offering customizable VM instances.
• Google Compute Engine provides predefined machine types and custom
machine types, allowing users to tailor resources precisely to their needs.
• For serverless computing, Google Cloud Platform offers Google Cloud
Functions, enabling developers to execute event-driven functions without
managing servers.

Google Cloud Data Centers
• GCP’s data centers are strategically located across multiple regions
globally, covering North America, Europe, Asia, Australia, and South
America.
• While GCP has a smaller number of data centers compared to AWS
and Azure, they are known for their high-performance global
network infrastructure.
• Google’s expertise in network optimization ensures fast data transfer
and low-latency connections, making GCP a preferred choice for
latency-sensitive applications.

Google cloud key tools
 IoT to Serverless: Google Cloud includes APIs for natural
language, speech, translation, and other advanced
technologies. It also offers IoT and serverless services.
However, these are still beta versions.
 Big On AI: Google Cloud is now the frontrunner in AI
advancement. TensorFlow, an open-source software library for
creating machine learning applications, deserves credit.

AWS vs Azure vs Google Cloud
 AWS, Azure, and GCP provide comparable computing resources, including
virtual machines and serverless computing options. However, each cloud
provider offers unique features and services that cater to different use cases,
allowing businesses to choose the platform that aligns best with their specific
computing requirements and preferences.
 Many businesses may also choose a multi-cloud solution, which incorporates
more than one of the three cloud providers, or utilizes AWS, Azure, or Google
Cloud.
 When comparing AWS vs Azure vs GCP, it’s useful to remember that AWS
boasts the largest number of data centers, Azure has the most widespread
regional coverage, and GCP focuses on high-performance networking and
low-latency connections.
 Businesses should consider the geographical distribution of data centers when
choosing a cloud provider to ensure optimal performance and data
accessibility for their target audience.

Introduction to AWS, AZURE and Google C.pptx

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