Redis
With Geliştir Cloud Core Panel, you can install the latest version of your Redis server within minutes and start using it immediately.
Overview
Redis is a powerful system that can be used both for data caching and message queue functions as a fast and flexible open-source in-memory database. Redis, which stands for Remote Dictionary Server, stores data in RAM and offers an ideal solution for applications requiring high performance by providing response times at the millisecond level.
Redis has a wide range of uses in modern applications thanks to its rich data structures such as strings, lists, sets, hashes, sorted sets and Pub/Sub mechanism. With RDB and AOF persistence options, horizontal scalability with Redis Cluster and high availability features with Redis Sentinel, it offers reliable solutions at every level from small projects to enterprise-level large-scale systems.
Key Features
Ultra-Fast In-Memory Performance
Provides sub-millisecond response times and millions of operations per second capacity by storing data in RAM. Offers thousands of times faster data access compared to traditional disk-based databases.
Rich Data Structures and Atomic Operations
Supports various data structures such as strings, lists, sets, hashes, sorted sets, bitmaps, streams. All operations are performed atomically, guaranteeing data consistency.
High Availability and Scalability
Provides horizontal scalability with Redis Cluster, automatic failover with Redis Sentinel and high availability with master-slave replication. Offers reliable performance in distributed systems.
Multi-Purpose Usage and Pub/Sub Support
Supports multiple usage scenarios such as cache, session store, message broker, real-time analytics and leaderboard. Provides real-time messaging capability with Pub/Sub mechanism.
Use Cases
Cache and Session Management
Fast data caching and user session management in web applications
Real-Time Applications
Chat systems, live notifications, gaming leaderboards and real-time analytics
Message Queue and Pub/Sub
Microservice communication, event-driven architecture and asynchronous task management
Big Data and IoT
High-speed data flow, sensor data processing and real-time stream processing
System Requirements
Minimum
- 1 vCPU
- 1 GB RAM
- 5 GB Disk
Recommended
- 2 vCPU
- 4 GB RAM
- 20 GB SSD