Dispersed Cache Service for Redis
Million Web Service caching service is a common technique that aims to improve the performance and scalability of a system. MWS does this by temporarily copying frequently accessed data to fast storage that’s located close to the application. If this fast data storage is located closer to the application than the original source, then caching can significantly improve response times for client applications by serving data more quickly.
- Cache penetration: the corresponding cache data in the key does not exist, which leads to the request for the database and the doubling of the pressure on the database
- Cache breakdown: at the moment after redis expires, a large number of users request the same cache data, resulting in these requests to request the database, resulting in double pressure on the database. For a key
- Cache avalanche: when the cache server goes down or a certain period of time in a large number of cache sets fails, all requests go to the database, resulting in double pressure on the database.
Advantages of using Million Web Services caching services
-
Quicker Service
Convey quicker encounters with an in-memory information base that empowers sub-millisecond execution
-
High Availability
-
On-request Scalability
-
Solid Performance
-
Unified Management and Monitoring
Keep a high uptime, with programmed failover on the expert/backup or bunch case types. The reserve hub takes over inside a couple of moments guaranteeing higher accessibility and dependability than single-hub examples
On-request Scalability increase examples and down with no help personal time (on ace/backup or group cases), or with insignificant interference in no time (on single-hub occurrences)
Add a quick reserving layer to your application design to bring down inertness and empower adaptable continuous applications
Utilize the control center to see in excess of 30 measurements across the entirety of your occurrences. Redo cautions and notices to identify administration anomalies
