Azure Storage Tiers
Learn about the various storage tiers in this lesson.
What is an Azure storage tier?
Azure storage tier refers to the different levels or classes of storage offerings provided by Microsoft Azure’s cloud computing platform. Each storage tier is designed to cater to specific performance, availability, and cost requirements, allowing users to optimize their data storage strategy based on their application needs.
There are four access tiers, and these are
Hot
Cool
Cold
Archive
Hot access tier
The "Hot" tier is optimized for frequently accessed data that requires low-latency access times. It offers higher storage costs but provides lower access and retrieval costs. This tier is suitable for data that must be readily available for frequent read-and-write operations, making it ideal for applications with high-traffic scenarios or data that need to be quickly accessible.
Benefits and features of hot access tier
The Hot tier in Azure Blob Storage offers several benefits, making it an excellent choice for storing data that requires frequent access and low-latency retrieval. Some of the key advantages of using the Hot tier include:
Low latency: The Hot tier is optimized for low-latency access, which means data can be quickly retrieved and served to applications and users, leading to faster response times and a better user experience.
High performance: Applications that require fast read and write operations, such as real-time analytics, active websites, and streaming services, can benefit from the high-performance capabilities of the Hot tier.
Immediate availability: Data stored in the Hot tier is immediately available for access without delays. This ensures that the most critical and frequently accessed data is readily available.
Predictable access costs: While the Hot tier has higher storage costs than the Cool tier, it provides predictable access costs. You can accurately forecast and manage your monthly expenses without additional retrieval costs.
Frequent data modifications: The Hot tier is better suited for these scenarios if your data is frequently modified or updated due to its low-latency access and real-time capabilities.
Real-time applications: ...