What are Alibaba Cloud’s caching mechanisms?

Alibaba Cloud caching mechanisms include Alibaba Cloud Redis, Alibaba Cloud Memcache, distributed cache service DSC, Alibaba Cloud Table Store, CDN, etc. Detailed introduction: 1. Alibaba Cloud Redis: A distributed memory database provided by Alibaba Cloud that supports high-speed reading and writing and data persistence. By storing data in memory, it can provide low-latency data access and high concurrency processing capabilities; 2. Alibaba Cloud Memcache: the cache system provided by Alibaba Cloud, etc.

Operating system for this tutorial: Windows 10 system, Dell G3 computer.

Alibaba Cloud provides a variety of caching services, including the following main caching mechanisms:

1. Alibaba Cloud Redis: A distributed memory database provided by Alibaba Cloud that supports high-speed reading and writing and data persistence. By storing data in memory, low-latency data access and high-concurrency processing capabilities can be provided.

2. Alibaba Cloud Memcache: A cache system provided by Alibaba Cloud, based on Key-Value memory storage, suitable for caching commonly used data, objects, pages, etc. Features high performance, high availability and easy scalability.

3. Distributed Service Cache (DSC): A distributed cache service provided by Alibaba Cloud that supports multiple cache engines, such as Redis, Memcache, etc. Cache data can be distributed across multiple nodes to improve cache capacity and performance.

4. Alibaba Cloud Table Store: A distributed NoSQL database provided by Alibaba Cloud that supports multiple data models and query methods. Hotspot data can be stored in Table Store to provide fast data access and query capabilities.

5. CDN (Content Delivery Network): The global distributed acceleration network provided by Alibaba Cloud provides fast content distribution and acceleration services by caching static resources to nodes around the world. It can effectively reduce the pressure on the origin site and improve user access speed.

These Alibaba Cloud caching mechanisms can be selected and configured according to specific application needs and performance requirements to improve system performance and user experience.

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