Persistent memory-optimized instances adopt Intel Optane DC persistent memory (AEP) to provide large-capacity in-memory databases that are compatible with open source Redis. A persistent memory-optimized instance persists each operation without using disks. Compared with an ApsaraDB for Redis Community Edition instance, it reduces costs by up to 30% and delivers almost the same throughput and latency. This helps improve the reliability of business data.
The high price and low capacity of memory limit the large-scale use of memory in specific scenarios. Alibaba Cloud began to invest in the research and implementation of Intel AEP in 2018. Intel AEP was applied to the core cluster of e-commerce products with remarkably reduced costs during Double 11 that year. The cluster became the first product in China that officially deployed Intel persistent memory in a production environment.
Maturer cloud environments and improved AEP-related technologies help Alibaba Cloud develop a new engine for data persistence based on AEP. Alibaba Cloud integrates the new engine with ECS bare metal instances and introduces persistent memory-optimized instances of the ApsaraDB for Redis Enterprise Edition (Tair). These instances replace the volatile memory of traditional Redis with the native persistent memory of AEP to significantly reduce the risk of data loss. For more information about ECS bare metal instances, see Overview.
Persistent memory-optimized instances provide not only memory-level access latency and throughput but also data persistence. In addition to reducing costs, persistent memory-optimized instances can simplify the application architecture. The popular architecture that consists of applications, cache, and persistent storage can be simplified to an architecture that consists of applications and persistent memory-optimized instances, as shown in the following figure.
Persistent memory-optimized instances of the ApsaraDB for Redis Enhanced Edition (Tair) adopt Intel AEP to provide large-capacity in-memory databases that are compatible with open source Redis. A persistent memory-optimized instance persists each operation without using disks. Compared with an ApsaraDB for Redis Community Edition instance, it reduces costs by up to 30% and delivers almost the same throughput and latency. This helps improve the reliability of business data. Persistent memory-optimized instances are applicable to scenarios that store hot and warm data, have high requirements for data persistence, and require compatibility with Redis, large capacity, and stable and controllable jitter.
|Integration with multiple Redis modules|
|Optimization for high specifications||
|Data loss prevention during power outages||
- Scenarios that require high performance and reduced costs for processing a large amount
Data computing requires high performance. ApsaraDB for Redis Community Edition is costly. Other database types such as HBase cannot meet the performance requirements. Persistent memory-optimized instances not only ensure data persistence but also provide almost the same performance as ApsaraDB for Redis Community Edition instances in terms of throughput and latency. This can help you strike a balance between performance and costs.
- Scenarios that have high requirements for data persistence
For gaming services, persistent memory-optimized instances are used for data storage. Compared with the architecture that uses Redis together with MySQL, persistent memory-optimized instances provide a simpler architecture, higher performance, higher cost-effectiveness, and higher data reliability.