Amazon MemoryDB for Redis

• Amazon MemoryDB for Redis is a fully managed, in-memory database service designed for high-performance and low-latency data storage.
• It is compatible with Redis and optimized for applications needing quick data access such as caching, session management, real-time analytics, and queuing.

Key Features

• AWS manages operational tasks like provisioning, patching, scaling, and backups in this fully managed service.
• Unlike traditional Redis, MemoryDB offers durability by persisting data across multiple Availability Zones.
• Automatic failover redirects traffic to a replica if a primary node fails, minimizing downtime.
• MemoryDB is fully compatible with the Redis API, allowing the use of existing Redis client libraries and tools with minimal application code changes.
• It automatically scales by adding or removing nodes.
• Adjusting the number of replicas or compute capacity to handle changing loads happens without manual intervention.
• MemoryDB is designed for sub-millisecond latency and is optimized for high-throughput applications.
• MemoryDB supports persistent storage, with data able to be persisted to disk.
• Encryption at rest and in transit is supported.
• AWS Identity and Access Management (IAM) allows managing access to MemoryDB using IAM roles and policies.
• Integration with Amazon VPC provides network isolation.
• Access can be controlled using security groups and network ACLs.
• Automated backups allow data restoration to any point in time within the backup retention period.

Pricing

• Amazon MemoryDB for Redis uses a pay-as-you-go pricing model.
• Pricing depends on the instance type selected for your MemoryDB cluster.
• Charges are incurred for the data stored, measured in GB per month, in primary and replica nodes.
• Data transfer between MemoryDB nodes or across regions incurs additional charges, but data transfer within the same region is free.
• Billing is also applied for backup storage, based on the amount of backup data stored in MemoryDB, when using the automated backup feature.

Use Cases

• MemoryDB is suitable for caching frequently accessed data.
• MemoryDB reduces the load on underlying databases and provides faster response times for end-users.
• It can be used for session storage in web applications, ensuring quick access to session data across multiple web servers.
• MemoryDB provides high availability for user sessions
• MemoryDB supports use cases requiring real-time data analysis, like tracking and updating leaderboards, gaming state management, or managing live metrics and counters.
• It can serve as an in-memory message queue, managing tasks or jobs that need to be processed asynchronously.
• MemoryDB assists with decoupling application components
• With Redis' built-in geospatial capabilities, MemoryDB can be used to store and query geospatial data.
• Location-based services for mapping, fleet management, or proximity searches utilize MemoryDB.
• MemoryDB is ideal for storing transient data in machine learning applications, where rapid access to training data, model states, and inference results is needed.