Cloud Computing: Detailed Notes

1. Basics of Cloud Computing

What is Cloud Computing?

Cloud computing is the delivery of computing services over the internet ("the cloud") instead of using your own physical servers or computers 23. These services include servers, storage, databases, networking, software, and more 2. With cloud computing, you only pay for what you use, making it cost-effective for many businesses 34.

Types of Cloud Deployment Models

There are three main ways to deploy cloud services, each with different levels of control, flexibility, and management 67.

Visual comparison of the three main cloud deployment models: Public Cloud, Private Cloud, and Hybrid Cloud

Private Cloud

Private cloud is used by only one organization 6. The infrastructure might be located on-premises or hosted by a third-party provider, but the services and infrastructure are always maintained on a private network 47. This provides greater control and security but costs more to maintain 6.

Public Cloud

Public cloud is owned and operated by third-party cloud service providers who deliver their computing resources over the internet 3. Examples include Microsoft Azure, AWS, and Google Cloud 7. It's generally less expensive and more scalable, but offers less control over data and security 67.

Hybrid Cloud

Hybrid cloud combines public and private clouds, allowing data and applications to be shared between them 67. This provides more flexibility, helping organizations optimize their existing infrastructure while still benefiting from cloud services 37.

Types of Cloud Services

Cloud providers offer different types of services depending on how much you want to manage yourself versus having the provider manage 1011.

Cloud Service Models showing IaaS, PaaS, and SaaS as layered technology stacks

IaaS - Infrastructure as a Service

IaaS provides virtualized computing resources over the internet 10. The cloud provider manages the physical hardware, while you manage the operating system, applications, and data 1113. Examples include Azure Virtual Machines, AWS EC2, and Google Compute Engine 1316.

Comparison of Cloud Service Models (IaaS, PaaS, SaaS) showing provider vs customer responsibilities

PaaS - Platform as a Service

PaaS provides the hardware AND software tools needed to develop and deploy applications 11. Developers can focus on creating apps without worrying about infrastructure, operating systems, or software updates 1012. Examples include Azure App Service, Google App Engine, and Heroku 12.

SaaS - Software as a Service

SaaS delivers fully functional applications over the internet that you can access through a web browser 1011. The provider manages everything, including the application, data, runtime, middleware, and operating systems 13. Examples include Microsoft 365, Google Workspace, and Salesforce 1314.

2. Cloud Computing Platforms/Vendors

Microsoft Azure

Azure is Microsoft's cloud computing platform that offers over 600 services 1819. It provides computing, analytics, storage, and networking capabilities that help businesses build, deploy, and manage applications 1820. Azure supports many programming languages and frameworks, both Microsoft-specific and third-party 20.

Microsoft Azure Key Services and Components Overview

AWS - Amazon Web Services

AWS is Amazon's cloud platform offering compute power, storage, and other functionality to help businesses scale 7. It was launched before Azure and is currently the largest cloud service provider in the market 520.

GCP - Google Cloud Platform

Google Cloud Platform offers cloud computing services that run on the same infrastructure that Google uses for its end-user products 5. It's known for its strength in big data processing and machine learning capabilities 720.

3. Introduction to Azure

Microsoft Azure is a cloud platform launched in 2010 1819. It provides a wide range of services and solutions to help organizations meet business challenges 21. Azure allows you to build, run, and manage applications across multiple clouds and on-premises 1922.

Azure is flexible (can scale up or down as needed), open (supports almost any operating system, language, or tool), reliable (offers 99.95% availability), and economical (pay-as-you-go pricing) 2225.

4. Azure Portal Walkthrough

The Azure Portal is a web-based, unified console that lets you manage your Azure resources 2021. You can build, manage, and monitor everything from simple web apps to complex cloud deployments through this interface 21. The portal provides:

A dashboard view of your resources
Access controls for users and permissions
Monitoring and health services
Billing information
Technical support 20 22

5. Overview of Azure Resources/Services

Compute Services

Azure offers various compute services including:

Virtual Machines: Lets you create Windows or Linux VMs in seconds 18
Azure Functions: Run code without managing infrastructure 20
Azure Kubernetes Service: Deploy and manage containerized applications 20 21

Storage Services

Azure provides several storage options to meet different needs 2728.

Azure Storage Services Overview showing the main storage types and their key features

Blob Storage

Blob Storage is designed for storing massive amounts of unstructured data like text, images, videos, and documents 2831. It's accessible via HTTP/HTTPS and is ideal for streaming content, storing backups, and serving files directly to browsers 2830.

File Storage

Azure Files provides fully managed file shares that can be accessed using standard protocols 2730. It's great for replacing traditional file servers and can be accessed from anywhere in the world 30.

Other Storage Types

Azure also offers Queue Storage (for messaging between application components), Table Storage (for NoSQL data), and Disk Storage (for virtual machine disks) 2730.

Data Services

Azure SQL Database, Azure Cosmos DB, and Azure Synapse Analytics provide various database options for different needs 2025. These services offer scalable, secure, and high-performance data storage solutions 25.

6. Introduction to Big Data

What is Big Data?

Big data refers to extremely large datasets that are too complex for traditional data processing applications 3335. These massive collections of data grow exponentially over time and require special tools and techniques to extract meaningful insights 3334.

Characteristics of Big Data

Big data is typically characterized by what's known as the "5 V's" 3637.

The 5 V's of Big Data: Volume, Velocity, Variety, Veracity, and Value

Volume

Volume refers to the enormous amount of data generated every second from sources like social media, IoT devices, and business transactions 3336. This data is often measured in terabytes, petabytes, or even exabytes 3738.

Velocity

Velocity is about how fast data is being generated and processed 3638. Many sources produce data in real-time, requiring systems that can quickly collect and analyze this information 3739.

Variety

Variety describes the different types of data being collected 3739. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text, images, and videos) 3839.

Veracity

Veracity refers to the quality and accuracy of the data 3639. Because big data comes from many different sources, ensuring its trustworthiness is essential for generating reliable insights 3740.

Value

Value is about extracting useful insights from the data to help make better business decisions 3640. Without creating value, collecting all this data would be pointless 3940.

7. Overview of Azure Storage Accounts

Types of Storage Accounts

Azure offers different types of storage accounts to meet various needs 26 27:

Standard general-purpose v2: For blobs, files, queues, and tables
Premium block blobs: For high transaction rates or low latency needs
Premium file shares: For enterprise file sharing
Premium page blobs: For specialized page blob storage 26 30

Access Tiers

Azure storage provides different access tiers to help optimize costs 27 30:

Hot tier: For frequently accessed data
Cool tier: For data accessed less often (at least 30 days)
Cold tier: For rarely accessed data (at least 90 days)
Archive tier: For data that can be offline (at least 180 days) 30

Data Replication

Azure offers several redundancy options to ensure data durability 26 30:

Locally redundant storage (LRS): Copies data three times within a single data center
Zone-redundant storage (ZRS): Copies data across three Azure availability zones
Geo-redundant storage (GRS): Copies data to a secondary region
Geo-zone-redundant storage (GZRS): Combines ZRS and GRS approaches 26 27

8. Azure Key Vault

Azure Key Vault is a cloud service that securely stores and manages sensitive information such as keys, passwords, certificates, and other secrets 2932.

Azure Key Vault: Securely managing keys, secrets, and certificates

Key Features

Centralized secret management: Store API keys, passwords, and certificates securely in one place 29 32
Access control: Define who can access specific secrets and what they can do with them 32
Monitoring: Track who accessed secrets and when 29
Integration: Works seamlessly with other Azure services 29 32

Security Benefits

Key Vault helps organizations:

Reduce the risk of security breaches by eliminating the need to store security information in applications 29
Control access to keys and secrets using Azure's identity management 32
Simplify certificate management and renewal processes 32
Meet compliance requirements for sensitive data handling 29

Azure Key Vault uses hardware security modules (HSMs) to provide an extra layer of protection for the most sensitive data 2932.

Citations:

Answer from Perplexity: pplx.ai/share