When looking at caching strategies for academic websites, keep these important points in mind:
Cache Hit Rate: This tells you how many requests are served from the cache. A higher hit rate (above 80% is best) means the backend server is under less pressure. For example, if 800 out of 1,000 requests come from the cache, your hit rate is 80%.
Cache Miss Rate: This is the opposite of the hit rate. It shows how many requests were not found in the cache. A lower miss rate is better for performance, so try to keep it below 20%.
Latency: This is the time it takes to get a response. A good caching system should lower latency a lot. For example, if a direct call to the database takes 200 milliseconds, a cache hit might only take 20 milliseconds.
Memory Utilization: This checks how well the cache uses memory. You want your cache to use memory wisely without causing problems.
Scalability: This measures how well your caching solution deals with more users at once. It’s good to test this with load simulations to make sure everything works well, even when it gets busy.
By concentrating on these points, you can make your caching strategies better for both performance and user experience.
When looking at caching strategies for academic websites, keep these important points in mind:
Cache Hit Rate: This tells you how many requests are served from the cache. A higher hit rate (above 80% is best) means the backend server is under less pressure. For example, if 800 out of 1,000 requests come from the cache, your hit rate is 80%.
Cache Miss Rate: This is the opposite of the hit rate. It shows how many requests were not found in the cache. A lower miss rate is better for performance, so try to keep it below 20%.
Latency: This is the time it takes to get a response. A good caching system should lower latency a lot. For example, if a direct call to the database takes 200 milliseconds, a cache hit might only take 20 milliseconds.
Memory Utilization: This checks how well the cache uses memory. You want your cache to use memory wisely without causing problems.
Scalability: This measures how well your caching solution deals with more users at once. It’s good to test this with load simulations to make sure everything works well, even when it gets busy.
By concentrating on these points, you can make your caching strategies better for both performance and user experience.