How Uber ensures Apache Cassandra®’s tolerance for single-zone failure

Table of Contents

1. Introduction
2. Single-Zone Failure
3. Multi-Zone Configuration
4. Ensuring Uninterrupted Service
5. Conclusion

1. Introduction

Uber relies on Apache Cassandra® for its data storage needs due to its flexibility and scalability. However, ensuring high availability and fault tolerance is crucial for Uber's operations.

2. Single-Zone Failure

In the event of a single-zone failure, all data stored in that specific zone becomes inaccessible, leading to potential service disruptions. This poses a significant risk to Uber's business continuity.

3. Multi-Zone Configuration

To mitigate the impact of single-zone failures, Uber implements a multi-zone configuration in Apache Cassandra®. By distributing data across multiple availability zones, the system can withstand failures in any single zone without compromising service availability.

4. Ensuring Uninterrupted Service

Uber employs replication strategies and network topologies that allow data to be replicated and stored in multiple zones simultaneously. This ensures that even if one zone experiences a failure, the data remains accessible from other zones, preventing service interruptions.

5. Conclusion

By leveraging Cassandra's multi-zone configuration, Uber can maintain uninterrupted service even in the face of single-zone failures. This strategy enhances the fault tolerance and high availability of Uber's data infrastructure, crucial for a seamless user experience.