It is intended for larger cache clusters and the performance of reads and writes remains very good even under peak loads. Partitioned Cache is the fastest and most scalable caching topology for both reads and writes. Lets you achieve InProc speed with distributed cache. Client Cache: Very good for read-intensive use with all caching topologies.Writes are faster than Replicated Cache for 2-Node Active/Passive. Mirrored Cache: Very good for smaller environments.Moderately fast for writes in a 2-Node cluster but does not scale as you add more servers because writes are synchronously done on all cache servers. Superfast and linearly scalable for reads. Replicated Cache: Very good for smaller environments.Best combination of speed/scalability and data reliability. Second fastest topology but replicates data for reliability without compromising linear scalability. Superfast for both reads and writes and also scales linearly by adding servers. Partition-Replica Cache (Most Popular): Very good.
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Fastest topology but does not replicate data so there is data loss if a cache server goes down. Partitioned Cache (no replication): Very good.Additionally, some caching topologies don’t scale as much specially for updates so keep that in mind too.īelow is a list of caching topologies along with their impact on reads versus writes. You need to determine how many reads versus writes you'll be doing to figure out which topology is best for you. But, NCache now provides very powerful features that enable the cache to keep its cached data synchronized with the database.Īll caching topologies are good for reference data but only some caching topologies are especially better for transactional data. In early days, a cache was considered good mainly for reference data because data that changed frequently would become stale and out of sync with the latest data in the database. On the other hand, ASP.NET Core Sessions storage is considered a transactional use because a session is read and updated once on every web request which may happen every few seconds.
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#RUNESCAPE REPLICATED SERVER PRIVATE CACHE CLIENT UPDATE#
Transactional data, on the other hand, is data that changes very frequently and you may update it as frequently as you read it.Ĭaching a product catalog where prices do not change very frequently is reference data. Reference data is data that doesn’t change very frequently and you cache it to reach over and over again and occasionally update it.