What is cloud computing, in simple terms?
Cloud computing is the delivery of on-demand computing services -- from applications to storage and processing power -- typically over the internet and on a pay-as-you-go basis.
How does cloud computing work?
Rather than owning their own computing infrastructure or data centers, companies can rent access to anything from applications to storage from a cloud service provider.
One benefit of using cloud computing services is that firms can avoid the upfront cost and complexity of owning and maintaining their own IT infrastructure, and instead simply pay for what they use, when they use it.
In turn, providers of cloud computing services can benefit from significant economies of scale by delivering the same services to a wide range of customers.
What cloud computing services are available?
Cloud computing services cover a vast range of options now, from the basics of storage, networking, and processing power through to natural language processing and artificial intelligence as well as standard office applications. Pretty much any service that doesn't require you to be physically close to the computer hardware that you are using can now be delivered via the cloud.
What are examples of cloud computing?
Cloud computing underpins a vast number of services. That includes consumer services like Gmail or the cloud back-up of the photos on your smartphone, though to the services which allow large enterprises to host all their data and run all of their applications in the cloud. Netflix relies on cloud computing services to run its video streaming service and its other business systems too, and have a number of other organizations.
Cloud computing is becoming the default option for many apps: software vendors are increasingly offering their applications as services over the internet rather than standalone products as they try to switch to a subion model. However, there is a potential downside to cloud computing, in that it can also introduce new costs and new risks for companies using it.
Why is it called cloud computing?
A fundamental concept behind cloud computing is that the location of the service, and many of the details such as the hardware or operating system on which it is running, are largely irrelevant to the user. It's with this in mind that the metaphor of the cloud was borrowed from old telecoms network schematics, in which the public telephone network (and later the internet) was often represented as a cloud to denote that the just didn't matter -- it was just a cloud of stuff. This is an over-simplification of course; for many customers location of their services and data remains a key issue.
What is the history of cloud computing?
Cloud computing as a term has been around since the early 2000s, but the concept of computing-as-a-service has been around for much, much longer -- as far back as the 1960s, when computer bureaus would allow companies to rent time on a mainframe, rather than have to buy one themselves.
These 'time-sharing' services were largely overtaken by the rise of the PC which made owning a computer much more affordable, and then in turn by the rise of corporate data centers where companies would store vast amounts of data.
But the concept of renting access to computing power has resurfaced again and again -- in the application service providers, utility computing, and grid computing of the late 1990s and early 2000s. This was followed by cloud computing, which really took hold with the emergence of software as a service and hyperscale cloud computing providers such as Amazon Web Services.
How important is the cloud?
Building the infrastructure to support cloud computing now accounts for more than a third of all IT spending worldwide, according to research from IDC. Meanwhile spending on traditional, in-house IT continues to slide as computing workloads continue to move to the cloud, whether that is public cloud services offered by vendors or private clouds built by enterprises themselves.
451 Research predicts that around one-third of enterprise IT spending will be on hosting and cloud services this year "indicating a growing reliance on external sources of infrastructure, application, management and security services". Analyst Gartner predicts that half of global enterprises using the cloud now will have gone all-in on it by 2021.
According to Gartner, global spending on cloud services will reach $260bn this year up from $219.6bn. It's also growing at a faster rate than the analysts expected. But it's not entirely clear how much of that demand is coming from businesses that actually want to move to the cloud and how much is being created by vendors who now only offer cloud versions of their products (often because they are keen to move to away from selling one-off licences to selling potentially more lucrative and predictable cloud subions).
Categories of cloud computing
What is Infrastructure-as-a-Service?
Cloud computing can be broken down into three cloud computing models. Infrastructure-as-a-Service (IaaS) refers to the fundamental building blocks of computing that can be rented: physical or virtual servers, storage and networking.
What is Platform-as-a-Service?
Platform-as-a-Service (PaaS) is the next layer up -- as well as the underlying storage, networking, and virtual servers this will also include the tools and software that developers need to build applications on top of: that could include middleware, database management, operating systems, and development tools.
What is Software-as-a-Service?
Software-as-a-Service (SaaS) is the delivery of applications-as-a-service, probably the version of cloud computing that most people are used to on a day-to-day basis. The underlying hardware and operating system is irrelevant to the end user, who will access the service via a web browser or app; it is often bought on a per-seat or per-user basis
Types of cloud computing
What is a public cloud?
Public cloud is the classic cloud computing model, where users can access a large pool of computing power over the internet (whether that is IaaS, PaaS, or SaaS).
What is a private cloud?
Private cloud allows organizations to benefit from some of the advantages of public cloud -- but without the concerns about relinquishing control over data and services because it is tucked away behind the corporate firewall. Companies can control exactly where their data is being held and can build the infrastructure in a way they want -- largely for IaaS or PaaS projects -- to give developers access to a pool of computing power that scales on-demand without putting
What is a hybrid cloud?
A hybrid cloud is perhaps where everyone is in reality: a bit of this, a bit of that. Some data in the public cloud, some projects in private cloud, multiple vendors and different levels of cloud usage. According to research by TechRepublic, the main reasons for choosing hybrid cloud include disaster recovery planning and the desire to avoid hardware costs when expanding their existing data center.
Job roles that can take up AWS Certified Solutions Architect training include, but are not limited to:
What you will learn from Microsoft Azure
Microsoft Azure Syllabus
Module-2: Azure Virtual Machines
Module-3: Introduction to Azure Virtual Network and Services
Module-4: Microsoft Azure Storage
Module-5: Manage AzureActive Directory (AD)
Module 6: Manage App Service Plans
Module 7: Azure SQL Database
Module-8: Azure Backup and Site Recovery
Module-9: Azure ARM Template
Module 10: Configure Serverless Computing
Module 11: Manage App Services
Module 12: Data Factory
Module-13: Azure Container Service
Module-14: Azure Cosmos DB
What you will learn on AWS
Fundamentals of Cloud Computing
❏ Introduction to Cloud Computing
❏ Cloud Environment Architecture
❏ Cloud Computing Models
Infrastructure -amp; Networking
❏ Introduction to Amazon Web Services
❏ AWS Global Infrastructure
❏ Introduction to Network Switches -amp; Virtual Private Cloud
❏ VPC -amp; Subnets
❏ Internet Gateways, VPC Peering -amp; NAT Gateways
❏ IP Addressing in AWS
❏ Understanding AWS Security Groups
❏ Launching our first EC2 instance
❏ EC2 instance types -amp; Pricing Models
❏ Introduction to Block -amp; Object storage mechanism
❏ Introduction to Elastic Block Store - EBS
❏ EBS Snapshots ❏ EBS Volume Types
❏ Instance Store Volumes
❏ Introduction to Simple Storage Service (S3)
❏ Features of S3
Elastic Load Balancers –
❏ Understanding High Availability Configuration
❏ ELB Configuration Elasticity
❏ Auto Scaling
Identity -amp; Access Management
❏ Understanding the IAM Policies
❏ IAM User, IAM Policy and IAM Role
❏ Introduction to Relational Databases
❏ Creating our first database structure in MySQL
❏ Getting started with DynamoDB
Domain Name System
❏ Introduction to DNS
❏ Understanding DNS Records
❏ Introduction to Route53
Aws Lambda and API
❏ Getting started with AWS Lambda
❏ Introduction to API
❏ Understanding working of API
❏ Building our API with API Gateway
Building Scalable Applications
❏ Introduction to Message Brokers
❏ Understanding SQS
❏ Understanding Simple Notification Service (SNS)
The DevOps Section
❏ Understanding CloudWatch
❏ Auditing AWS environment with CloudTrai
What you will learn on Google cloud
1: Introduction to Google Cloud Platform
2: Virtual Networks
3: Virtual Machines
4: Cloud IAM
5: Data Storage Services
6: Resource Management
7: Resource Monitoring
8: Interconnecting Networks
9: Load Balancing
10: Auto scaling
Microsoft Azure Fundamentals Exam AZ-900
Microsoft Azure AI Fundamentals Exam AI-900
Microsoft Azure Data Fundamentals Exam DP-900
Microsoft Certified: Azure Administrator Associate Exam AZ-104
Microsoft Azure Developer Associate Exam AZ-204
Microsoft Azure Security Engineer – Associate Exam AZ-500
Microsoft Azure AI Engineer – Associate Exam AI-100
Microsoft Azure Data Scientist – Associate Exam DP-100
Microsoft Azure Data Engineer – Associate Exams DP-200 and DP-201
Microsoft Azure Database Administrator Associate Exam DP-300
AZURE CERTIFIED SOLUTIONS ARCHITECT
AZ-303: Microsoft Azure Architect Technologies
AZ-304: Microsoft Azure Architect Design
Microsoft Azure DevOps Engineer – Expert Exam AZ-400
AWS Certified Cloud Practitioner
AWS Certified Developer – Associate
AWS Certified SysOps Administrator – Associate
AWS Certified Solutions Architect – Associate (SAA-C02)
AWS Certified DevOps Engineer – Professional
AWS Certified Solutions Architect – Professional
AWS Certified Advanced Networking – Specialty
AWS Certified Security – Specialty
AWS Certified Machine Learning – Specialty
AWS Certified Database – Specialty (DBS-C01)
AWS Certified Data Analytics – Specialty (DAS-C01)
AWS Certified Alexa Skill Builder – Specialty
Google Associate Cloud Engineer
Google Professional Cloud Architect
Google Professional Data Engineer
Google Professional Cloud Developer
Google Professional Cloud Network Engineer
Google Professional Cloud Security Engineer
Google G Suite certification
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