This presentation will clear the concepts of storage tires in web engineering

1. STORAGE TIER

2. Introduction
 Storage Tiers (Efficient Data Management)
 Definition:
Categorizing data into different levels based on importance and usage
patterns.
 Objective:
Organizing data effectively for optimal resource utilization.

3. Key Components
 Core Aspects of Storage Tiers
 Storage Tiers:
Distinct levels for different types of data.
Example:
Placing critical data in a high-tier for better accessibility.
 Performance:
Concerns how quickly and effectively data can be accessed.
Example: High-performance tiers for frequently accessed data.

4. Key Components
 Cost:
Expenses associated with storing data.
Example:
Higher costs for advanced storage
technologies in high-performance tiers.
 Management:
Organizing and controlling data within
each tier.
Example:
Dynamic management to align data with
its importance.

5. Hot Tiers
 High-Performance Storage for
Critical Data
 Characteristics:
Optimized for quick access and low latency.
Example:
Real-time applications requiring instant data
retrieval.
 Use Cases:
Critical and frequently accessed data.

6. Cold Tiers
 Long-Term Archival with Minimal
Access Requirements
 Characteristics:
Designed for long-term archival with infrequent access needs.
Example:
Compliance data or historical records.
 Use Cases:
Archival data, backups.

7. Cool Tiers
 Balanced Performance and Cost
 Characteristics:
Balanced performance and cost, often a mix of SSDs and HDDs.
Example:
General business applications with moderate access workloads.
 Use Cases:
Business applications, moderate access workloads.

8. Archive Tiers
 Cost-Effective Storage for Long-Term Data
 Characteristics:
Cost-effective, often using traditional HDDs.
Example:
Storing historical data in a cost-efficient manner.
 Use Cases:
Archival data, infrequently accessed data.

9. Other Storage Tiers
 Exploring Additional Categories
 1. Cloud Storage Tiers:
 Characteristics:
Provided by cloud providers with various performance and cost options.
Example:
Cloud-based services managing data with different access patterns.

10. OtherStorageTiers
 2. Automated Tiering:
 Characteristics:
Dynamic allocation of data based on usage patterns.
Example:
Systems adapting storage dynamically as data access changes.

11. Benefits
 Realizing the Advantages of Storage Tiers
 Optimized Resource Allocation:
Efficient use of storage resources based on data characteristics.
 Cost-Efficiency:
Lower costs for less critical and infrequently accessed data.
 Performance Enhancement:
Critical data receives high-performance storage for better accessibility.

12. Conclusion
 The Role of Storage Tiers in Modern
Data Management
 Storage tiers play a crucial role in achieving a balance between performance,
cost, and resource optimization.
 By categorizing data and aligning it with specific storage tiers, organizations
create an efficient and cost-effective storage infrastructure.