Microsoft Azure Block Storage Reviews

Mostly, I want to make various kinds of data accessible in a very secure and yet easy way that is scalable and available across global regions. That's why I'm proposing Azure Blob Storage.

The most valuable feature is that it's very affordable in comparison to competitors. The absolute best feature is the Azure Storage Explorer tool. The tool allows me to download to my device, control access, and manage data with ease. 

Additionally, the joint use of Azure portal further facilitates management depending on my location.

We are currently using Block Storage for file transfers and to store data artifacts. These also serve as a staging area for various tables and are utilized as a storage option for some databases.

I find it useful when it comes to Block Storage and local conventional storage. It is faster. 

Additionally, the ability to increase and scale out is really easy, allowing us to manage a large amount of data with reduced dependency on scalability issues.

I use storage accounts for multiple purposes, including storing blocks and using the storage account as a queue. 

Additionally, in some scenarios, I have used the storage account for storing tables in relation to the data. There are various use cases for which I employ the storage account.

There are multiple offerings. I can store data, use the storage account as a queue, and the pricing is also quite economical. The integration between Block Storage and VMs works fine, and the solution is easy to use and integrate. The solution deploys well, and although sometimes it is hybrid, most of the time it is purely cloud.

We use it as a storage backend for our analytical use cases and we do modeling in the Azure Databricks environment. We store huge chunks of data in terms of terabytes. We use this data to gain insights into our modeling platform. We find it cheaper than storing it on-premise. And it does not require infrastructure maintenance.

It has improved my organization by reducing costs by 90%. There's still no infrastructure engineering involved for the maintenance and it's easy to use.

I use Microsoft Azure Block Storage to store data for my users and to access it faster. This solution is better than storing data locally in my system or database. Accessing it over the cloud provides better performance for my solutions.

The public access with more security available is valuable. There is the need for any technical solution to access data over the cloud with high security.

I have used Azure Block for two or three projects. It's used to store images or videos for multi-tenant applications or a particular tenant. We recently did one project for multi-tenant products. 

Any customer registered to the website can sell their product on a small scale without a website or server. It was like a platform as a service multi-tenant product. With the site ready, they can post any images or videos to Azure Storage Block. They're creating a subscription site for each unit.

For example, if you register on that website, you can allocate the memory size based on license cost: premium, gold, etc. We allocated some memory, and you can navigate to the site whenever you're ready. We provide a unique ID and an encryption key. 

You can create several users for your subscription. For example, if you're an owner of this subscription, you can assign users a status as contributors, readers, or administrators. You can add images or videos through a Block via an administrative portal with a mobile or Angular application. That image is rendered to your website or any products they need. We can use that signature access key for authentication. We enable our product based on the site subscription ID.

There are different tiers, and you can create a container to solve this. First, we create a block and containers, then allocate images to that container. Once we make the container blocks, we get a primary and secondary access key. After you get the details, you can do the same for Azure. If you want to use your middleware, you need to add a library, so you can contribute a URL shared access key. You need to access it via UCA. You can upload via UCA binary format data or a content file. That is where we can upload any data with Block Storage.

When you access a unit to pass that Block ID, you can download it using ByteArray. You can send that ByteArray streaming data to your Angular application on mobile. They can convert any videos, images, or documents to display them on your mobile application. However, a security breach could allow a hacker to download anything for a particular user, so we recommended middleware for interacting with Azure Block Storage. 

There are different approaches. We can use it for proper container image names or containerization with a shared activity URL. We need to consider the client's mission. If a client uses Azure Key Vault, any authorized person with the shared key can access confidential data on a centralized system. Our service can access that key to connect users to Azure Block, whether on your application, Angular, or any other web application. It will not provide users credentials or a URL directly. 

Azure Block Storage lets you customize code you can use on that endpoint. If you want to write a logic for something, Azure Function can be used to deploy that application. 

We need to write code and plan for deployment. You can write a function in C# and use that server or any VM or Kubernetes container. If you want to release any APA or application with AKS, there are Kubernetes cluster master nodes. We recommend doing it manually if it's a simple POS or something. I strongly recommend using DevOps Tools Continuous Integration if you're an enterprise.

I use the solution in my company to store different images and videos.

The solution's most valuable feature revolves around the security-wise functionalities of the tool our company gets from using SAS keys. The product provides very secure access since users with SAS keys can access the tool. Different access can be provided with different SAS keys, making it one of the best features of the product.

I initially set up Block Storage for archival log purposes and used Azure Data Explorer to push logs to it. This was more cost-effective for me since I needed to do threat hunting for logs that were older than a year. We then moved our production server backup and recovery to Block Storage due to the security it offers. The solution is very easy to configure security on Block Storage, whether through access keys, TLS versions, or REST API security.

We're not opting for the public cloud due to the majority of our data being PNC. However, if we need to make any of our data publicly available, we use AFS as well as Azure File Sharing. AFS is fully encrypted and structured with methods for Block Storage, such as POST and DELETE portals. Usually, we use authentication measures on private parts that require anything to be made public. To ensure secure access, we first authenticate the authorized person and then grant them access to the depositories from outside the network.

Redundancy is essential for disaster recovery, and I have found that relying on SAN storage or old, on-prem services is a complicated process that often yields unsatisfactory results. Even with the proper maintenance of the data, power, and backups, these services rarely recover more than 70 percent of data in case of outages or natural disasters. Therefore, it is clear that 100 percent data recovery cannot be achieved using on-prem solutions. The purpose of the test is to evaluate the best option for data redundancy, protection, and management. We can choose from Azure's Local Redundancy Storage, Geo Redundancy Storage, or Read Access Geo Redundancy Storage. Additionally, for data protection, we can enable soft delete or versioning of the block to track all changes. Finally, for data management, we can enable settings for security.

Microsoft is currently updating a few features, such as object sizes and tiering, which were not available previously. They have created inventories and utilized snapshots for container partition calculations.