Comparison of Object Storage Deployment Modes - Understanding 3-AZ / 1-AZ / Local Zones
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11.12.2024 
Cloud / Object Storage S3
Objective
OVHcloud offers several deployment modes for its Object Storage service, each tailored to specific needs regarding resilience, availability, performance, and latency. This document provides a detailed explanation of the characteristics of each deployment mode, followed by a comprehensive comparison to help users choose the best option for their requirements.
Concepts
OVHcloud Object Storage offers three main deployment modes, each optimized for specific use cases and offering various levels of redundancy and fault tolerance:
- 1-AZ Region: For general storage and backup needs, offering basic resilience with optimized cost.
- 3-AZ Region: Suitable for critical applications requiring high availability, with increased fault tolerance.
- Local Zones: Designed to bring data closer to end users, reducing latency and ensuring local compliance.
Deployment modes
The following information pertains to the different deployment modes available in OVHcloud’s Object Storage service. Select the mode that best suits your needs based on resilience, availability, and performance. You can identify which deployment mode is available for a given region on the Object Storage - Endpoints and geoavailability documentation.
1-AZ Region
Infrastructure and Redundancy
A 1-AZ Region consists of a single availability zone covering multiple data centers within the same region, utilizing a 2N+1 redundancy design. This setup offers resilience against server rack and drive failures but may be vulnerable to a complete data center outage. Note that in a 1-AZ region, the Object Storage service is located in a specific data center, and if an outage occurs in the specific data center hosting the Object Storage service, access to data could be impacted, even if other data centers in the zone remain operational.
Characteristics
- Erasure Coding: Provides data redundancy across servers, ensuring continuity in the event of hardware failures by splitting data across multiple disks and servers within the availability zone.
- Cost-Effectiveness: A more affordable option, making it ideal for general-purpose applications and backups where cost is a primary concern.
Limitations
- Outage Risk: In the event of a data center outage, data may become unavailable or potentially lost if the specific data center hosting the Object Storage service is impacted. However, protection against server rack and drive failures is maintained.
To enhance resilience for critical applications in a 1-AZ Region, asynchronous replication can be employed, providing additional protection without compromising cost-effectiveness. This can help reinforce both application and data resiliency. Another option to mitigate this risk is using a 3-AZ deployment mode.
Redundancy Specifications for 1-AZ
| Specification | Description |
|---|---|
| Redundancy Type | 2N+1 across multiple data centers |
| Fault Tolerance | Server and disk-level fault tolerance. Data center outage risk. |
| Use Case Examples | General-purpose applications, backups |
3-AZ Region
Infrastructure and Redundancy
3-AZ Regions consist of three independent availability zones, each isolated in terms of power, cooling, and network systems, providing true fault isolation. This architecture ensures service availability even if an entire availability zone experiences an outage.
Characteristics
- High Availability: Data remains available for both read and write operations, even in the event of a zone failure. This configuration is ideal for high-availability and fault-tolerant applications.
Ideal Use Cases
3-AZ Regions are perfect for mission-critical and availability-sensitive applications where data governance requires continuous data availability, such as e-commerce, healthcare platforms, financial services, or live-streaming applications.
While this setup offers robust protection, it may not be fully resilient to an unlikely regional outage. Additional protection, such as multi-region asynchronous replication, can be considered to further enhance data availability and resilience.
Performance Specifications for 3-AZ
| Specification | Description |
|---|---|
| Connectivity | Low latency between availability zones |
| High Availability | Maintains access even in the event of zone failures |
| Use Case Examples | Mission-critical and availability-sensitive applications, streaming, e-commerce, healthcare |
Local Zones
Design and Flexibility
Local Zones are designed to bring OVHcloud services closer to end-users, minimizing latency and ensuring compliance with local data regulations. These zones are particularly useful for applications that require minimal response times.
Benefits for Compliance and Cost
- Reduced Network Costs: Local Zones help reduce costs by minimizing the distance that data must travel.
- Localized Storage: Supports regional data localization requirements, making it ideal for regulatory compliance.
Limitations
- Single Zone Limitation: Local Zones are limited to a single availability zone and do not provide cross-zone redundancy, which limits data recovery options in the event of a disaster.
Use Case Specifications for Local Zones
| Advantage | Description |
|---|---|
| Performance | Ultra-low latency for maximum performance |
| Data Compliance | Supports data localization for regulatory requirements |
| Use Case Examples | Online gaming, video conferencing, regional applications |
Comprehensive Comparison Table
| Characteristics | 1-AZ Region | 3-AZ Region | Local Zones |
|---|---|---|---|
| Deployment Structure | Single availability zone | Three independent availability zones | Single availability zone |
| Redundancy | 2N+1 internal | Cross-zone redundancy | Local triple replication |
| Data Availability | Limited during data center outages, protected against server/disk failures | Maintained across availability zones | Limited during data center outages, protected against server/disk failures |
| Latency | Low for close end-users | Low for close end-users and ultra low between availability zones | Low for close end-users |
| Ideal Use Cases | General-purpose applications, backups | Mission-critical and availability-sensitive applications | Latency-sensitive, regional applications |
| Cost | Lower | Higher due to increased redundancy | Dependent on the specific local zone and required latency performance |
Go further
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