Forem: Faruk

HOW TO CREATE A STORAGE ACCOUNT IN AZURE

Faruk — Sun, 17 Dec 2023 14:47:19 +0000

Azure Portal, Azure PowerShell, Azure CLI, or an Azure Resource Manager (ARM) template can all be used to create an Azure storage account. Here, I will walk you through the procedure via the Azure Portal, which is the easiest way for novices to follow:

1.Open the Azure Portal.
Use your Azure account to log in.

2.Go to the Storage accounts page.

Click the "Create" or Search for an already created resource group in the field. then enter set up the storage account's parameters:

3.Enter the necessary data in the "Basics" tab:
Select the Azure subscription that you want.
Resource Group: Choose an already-existing group, or establish a new one.

-Name of storage account: For your storage account, enter a globally unique name (lowercase characters and numbers only).
-Location: Select the area in which the storage account is to be created.
-Performance: Select the Standard or Premium performance tier.
-Account type: Select the kind of storage account (most scenarios recommend StorageV2).

4.Set up advanced options (if desired):

Most settings can be left at their default levels, but depending on your needs, you might want to change things like replication, access tier, and network settings.
Examine and produce:

5.Go through your setup on the "Review + create" tab.
Press "Review + create" to confirm your configuration.
To create the storage account, click "Create" if the validation is successful.

6.Hold off until the deployment is finished. On the "Deployment" page or in the notification section, you may keep an eye on the deployment process.

7.Get into your storage account:

Go to the storage account overview page to access and manage it after the deployment is finished.

And that's it! You've been successful in setting up an Azure storage account. This storage account can now be used to store other kinds of data, including files, queues, blobs, and tables.

TYPES OF CLOUD SERVICES

Faruk — Sun, 17 Dec 2023 14:03:00 +0000

Based on the service models that they provide, cloud services may be broadly divided into three types: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). For users and providers, each kind denotes a distinct degree of abstraction and responsibility. Below is a summary of each kind:

IaaS, or infrastructure as a service:

IaaS uses the internet to deliver virtualized computer resources. On a pay-per-use basis, users can access virtual computers, storage, and networking components.
Use cases include running custom apps, hosting virtual machines, testing and development, and provisioning infrastructure.
As an illustration:

EC2 from Amazon Web Services (AWS)
Virtual Machines on Microsoft Azure
Compute Engine on Google Cloud.

2.PaaS, or platform as a service:
Description: Platform as a Service (PaaS) provides a platform with databases, middleware, development tools, and other components, hence offering a greater level of abstraction. While the service provider maintains control over the underlying infrastructure, users concentrate on the creation and implementation of applications.
Use Cases: Development, deployment, and administration of applications without requiring attention to underlying infrastructure.
As an illustration:

Heroku
Azure App Service for Microsoft
App Engine for Google

3.Software as a Service (SaaS): Description: SaaS delivers software applications over the internet on a subscription basis. Users access the software through a web browser without worrying about installation, maintenance, or infrastructure management. Use Cases: Email services, customer relationship management (CRM), office productivity tools, collaboration tools. Examples: Microsoft 365 (formerly Office 365) Salesforce Google Workspace (formerly G Suite) In addition to these primary service models, there are other cloud service categories that focus on specific functionalities:

Serverless computing, or function as a service (FaaS):

In reaction to events, serverless computing enables developers to execute certain functions or segments of code without having to worry about maintaining the infrastructure. Users are billed according to the functions that are actually performed.
Use Cases: Microservices, automated tasks, and event-driven systems.
As an illustration:

AWS Lambda Functions on Azure
Functions of Google Cloud.

DBaaS, or database as a service:

By offering managed database services, DBaaS relieves users of the burden of maintaining, backing up, and managing database infrastructure.
Use Cases: Hosting and managing databases without requiring a lot of administrative work.
As an illustration:

RDS on Amazon
SQL Database on Azure
SQL on Google Cloud
Organizations can select from a variety of options offered by these cloud service models according to their particular requirements and desired degree of control over the underlying infrastructure and services.

UNDERSTANDING AZURE STORAGE

Faruk — Sun, 17 Dec 2023 13:18:43 +0000

Microsoft Azure offers a cloud storage option called Azure Storage. It provides a range of cloud storage and data retrieval services. Azure Storage offers the following primary storage service types:

Blob Holding:

The goal of blob storage is to handle and store unstructured data, including logs, documents, and multimedia.
Access Tiers: Depending on the consumption patterns of the data, you can select from a variety of access tiers, including Hot, Cool, and Archive.

Storage of Files:

Goal: File Storage is a cloud-based, fully managed file sharing that is accessible using the Server Message Block (SMB) protocol. It works well with business applications that need a shared file system.
Use cases include general-purpose file sharing, virtual machine (VM) storage, and file shares for applications.

Storage in Queues:

The goal of queue storage is to provide a message service that enables asynchronous communication between various application components. It's frequently applied to increase scalability and decouple components.
Use Cases: Message queues to facilitate inter-application communication.

Table Storage Organization:

Goal: Large volumes of structured data can be stored in Table Storage, a NoSQL data storage. Applications that need quick and flexible access to data can use it.
Use Cases: storing and retrieving logs, device information, and user profiles, among other non-relational data.

Managed disk storage (disk storage):

Goal: Managed Disks give Azure Virtual Machines high-performance, scalable block storage.
Use Cases: Preserving virtual machine data and operating system drives.
You can use a number of tools and libraries to communicate with Azure Storage, including:

Azure Portal: The web-based resource management tool for Azure.
Azure Storage Explorer is a stand-alone application that makes interacting and managing Azure Storage simple.
Azure PowerShell: PowerShell scripts can be used to manage Azure resources through command-line tools.
Azure CLI: Tools for controlling Azure resources with a command-line interface.
Software development kits (SDKs) for Azure Storage are available for a number of programming languages, and they let you incorporate Azure Storage into your apps.

To guarantee the highest performance and security of your stored data, it's critical to comprehend the security features, best practices, and access controls of Azure Storage.