How do you capacity plan for Memcached?

Capacity planning for Memcached involves assessing the anticipated workload and data storage requirements to ensure optimal performance and resource allocation. This process helps to determine the number of Memcached servers needed, their configurations, and how to scale effectively as demand increases.

Steps for Capacity Planning for Memcached

  1. Analyze Current Usage: Review current cache hit rates, memory usage, and request patterns.
  2. Estimate Data Growth: Assess expected growth in data and requests over time.
  3. Determine Cache Size: Calculate the appropriate size of the cache based on the average object size and the number of objects to be cached.
  4. Performance Metrics: Monitor performance metrics to identify potential bottlenecks or areas of improvement.
  5. Plan for Scalability: Design a scalable architecture that allows you to add more Memcached instances as needed.

Example Calculation

Below is an example of how to calculate the required memory for Memcached:


Memcached capacity planning server requirements scaling caching strategy performance metrics

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