Caching Strategies for High-Performance Systems

Description

Explore caching strategies for high-performance, scalable systems. Learn how caching reduces database load, the importance of cache expiration policies, and solutions for challenges like the cold-start and celebrity problems. Discover best practices for implementing distributed caching layers effectively.
Eladio Rocha
Quiz by Eladio Rocha, updated 15 days ago
Eladio Rocha
Created by Eladio Rocha 15 days ago
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Resource summary

Question 1

Question
What is a primary reason for using a caching layer in a high-performance system?
Answer
  • To simplify database schema design.
  • To reduce the frequency of accessing the database disk.
  • To improve write throughput of the database.
  • To avoid using load balancers.

Question 2

Question
Why is a horizontally distributed caching layer advantageous?
Answer
  • It eliminates the need for a database.
  • It allows the caching layer to be scaled independently of the application servers.
  • It enables better enforcement of database constraints.
  • It reduces the number of application servers needed.

Question 3

Question
What role does a hash function play in a distributed caching system?
Answer
  • It ensures consistent cache invalidation.
  • It determines which cache server stores specific data.
  • It manages the redundancy of cache servers.
  • It calculates the expiration time for cached data.

Question 4

Question
What type of caching architecture keeps the cache local to application servers?
Answer
  • Independent caching fleet.
  • Integrated caching within application servers.
  • Hybrid caching model.
  • Disk-based caching system.

Question 5

Question
What is the "celebrity problem" in caching?
Answer
  • Difficulty in caching data for infrequently accessed keys.
  • High traffic to specific cached data causing uneven load distribution.
  • Inability to cache frequently updated information.
  • Issues with redundancy in cached data.

Question 6

Question
What is a significant concern when dealing with a cold-start cache problem?
Answer
  • Cache data not invalidating properly.
  • High initial traffic hitting the database until the cache is warmed up.
  • Inability to scale the cache horizontally.
  • Expired cache entries causing stale data.

Question 7

Question
Why is setting an appropriate expiration policy for cached data important?
Answer
  • To ensure the database schema remains consistent.
  • To balance between data freshness and cache effectiveness.
  • To allow caching of frequently updated data.
  • To reduce the need for redundancy in the cache.

Question 8

Question
What type of applications benefit the most from caching?
Answer
  • Applications with frequent write operations.
  • Applications with a high read-to-write ratio.
  • Applications requiring real-time data consistency.
  • Applications with low user traffic.

Question 9

Question
What is one approach to mitigate the cold-start problem in caching?
Answer
  • Using a write-through caching strategy.
  • Preloading the cache with historical data or simulated traffic before deployment.
  • Shortening the cache expiration time.
  • Disabling caching temporarily.
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