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Creating containers and blobs in Azure

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Creating containers and blobs in Azure involves a series of steps that can be done through the Azure portal, Azure CLI, or programmatically using SDKs such as .NET, Python, or Java. Below are the detailed steps to create containers and blobs using different methods. Using Azure Portal Create a Container Navigate to the Storage Account : Log in to the  Azure Portal . Go to your storage account or create a new one. Create a Container : In the left-hand menu, under the “Data storage” section, click on “Containers”. Click on the “+ Container” button. Provide a name for your container. Set the public access level (Private, Blob, or Container). Click “Create”. Upload a Blob Navigate to the Container : Click on the container you just created. Upload a Blob : Click on the “Upload” button. Select the file you want to upload. Set the required options and click “Upload”. Using Azure CLI Prerequisites Install the  Azure CLI . Sign in to Azure using  az login . Create a Container # Re...

step-by-step guide to creating containers and blobs in Azure Storage

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 Sure, here's a step-by-step guide to creating containers and blobs in Azure Storage:                                                                                           1. **Sign in to the Azure portal**: Go to [portal.azure.com](https://portal.azure.com) and sign in with your Azure account. 2. **Navigate to Storage accounts**: Once logged in, click on the "Storage accounts" option in the left-hand menu. If you don't see it, you can search for "Storage accounts" in the search bar at the top. 3. **Create a new storage account**: Click on the "+ Add" button at the top of the page to create a new storage account. Fill in the required details like subscription, resource group, storage account name, location, and ...

Azure App Services Multi plan subnet join

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Azure App Services Multi plan subnet join   In Azure, when deploying Azure App Services, you might want to connect them to a virtual network, which provides more security and control over network traffic. Connecting App Services to a subnet within a virtual network allows you to control inbound and outbound traffic using network security groups and other Azure networking features. Here's how you can join Azure App Services to a subnet in a virtual network: 1. **Create a Virtual Network(VNet)**:    - Navigate to the Azure portal.    - Go to "Create a resource" and search for "Virtual Network".    - Follow the steps to create a VNet, specifying the address space and subnet configurations. 2. **Create an App Service Plan**:    - If you haven't already, create an App Service Plan. This can be done under "App Services" in the Azure portal.    - When creating or modifying the App Service Plan, you'll have an option to sel...

What is automatic scaling in Azure App Service?

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  What is automatic scaling in Azure App Service?   Automaticscaling in Azure App Service is a feature that allows your application to dynamically adjust its resources based on workload demand. This ensures that your application can handle varying levels of traffic without manual intervention.   Withautomatic scaling, you can define rules and thresholds based on metrics such as CPU utilization, memory usage, or requests per second. When these thresholds are met or exceeded, Azure App Service automatically adds or removes instances of your application to match the current workload.   For example,if your application experiences a sudden surge in traffic, automatic scaling can quickly provision additional instances to handle the increased load. Conversely, when the workload decreases, automatic scaling can scale down the number of instances to optimize resource usage and reduce costs.   Overall, automatic scaling helps ensure that your application r...

Azure AI services are cloud-based services that encapsulate AI capabilities.

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  Azure AI services are cloud-based services that encapsulate AI capabilities. Azure AI services refer to a collection of cloud-based services offered by Microsoft Azure that provide various artificial intelligence capabilities. These services encompass a wide range of functionalities, including but not limited to: 1. **Cognitive Services**:  These are pre-built AI models that can be easily integrated into applications to perform tasks such as language understanding, computer vision, speech recognition, and more. 2. **Machine Learning**:  Azure provides a comprehensive platform for building, training, and deploying machine learning models. This includes tools for data preprocessing, model training, model evaluation, and model deployment. 3. **Azure Bot Service**:  This service allows developers to build, deploy, and manage intelligent bots that can interact with users across multiple channels such as web, mobile apps, Microsoft Teams, Slack, and more. 4. **Azure Data...

Hosting SQL Server

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  Hosting SQL Server On Azure offers a range of options tailored to different business needs, from basic database management to advanced analytics and scalability. Here’s an introduction to some of the key options: 1.  **Azure SQL Database**: – Azure SQL Database is a fully managed relational database service provided by Azure. – It offers built-in high availability, automated backups, and intelligent performance tuning. – Azure SQL Database is suitable for small to large-scale applications and provides predictable performance and scalability. – It supports various deployment options including single database, elastic pool, and managed instance. 2.  **Azure SQL Managed Instance**: – Azure SQL Managed Instance is a fully managed SQL Server instance hosted on Azure cloud. – It provides near 100% compatibility with the latest SQL Server on-premises (Enterprise Edition). – Managed Instance offers easier migration of on-premises SQL Server databases to the cloud without any ap...

Learn about Backup & Restore methods (Point-in-Time and Long Term Backup Retention)

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  Learn about Backup & Restore methods (Point-in-Time and Long Term Backup Retention) Backup and restore methods are crucial for ensuring data integrity, availability, and recovery in the event of data loss or corruption. Two common backup and restore methods are Point-in-Time (PIT) backups and Long-Term Backup Retention (LTBR). Let’s delve into each: 1.  **Point-in-Time (PIT) Backups**: Point-in-Time backups capture the state of data at a specific moment in time. These backups are valuable for recovering data to a precise state before data loss or corruption occurred. PIT backups are commonly used in database management systems (DBMS) such as SQL databases. **How it works**: – PIT backups involve taking snapshots of data at regular intervals or at specific points determined by the organization’s requirements. – These snapshots record the state of the data, including changes, at the time of the backup. – PIT backups are typically incremental, meaning only the changes since...