Breaking News: Grepper is joining You.com. Read the official announcement!
Check it out

Caching Strategies in Distributed Caching

Pragya Keshap answered on February 3, 2023 Popularity 7/10 Helpfulness 1/10

Contents


More Related Answers

  • no to cache
  • what is a browser cache
  • Why should we use caching
  • Types of Caching
  • What is caching?
  • Cache Hit and Cache Miss
  • Database Caching
  • Caching strategies
  • What is caching? Have you used any caching framework with Spring Boot?
  • drop caches
  • drop caches
  • drop caches
  • Using Cache Tags
  • What is the caching mechanism?
  • What is the caching mechanism?
  • What are the different types of caches available in Hibernate?
  • distributed cache
  • Cache consistency
  • In what scenarios is distributed caching typically used ?
  • How does distributed caching improve the performance of a system that uses microservices ?
  • What is the main disadvantage of cache miss in a distributed caching system for microservices ?
  • Which of the following is an example of a caching strategy in distributed caching for microservices where data is first read from the cache and if not found, fetched from the database?
  • Which of the following is an example of a caching strategy in distributed caching for microservices where data is first written to the cache and then asynchronously to the database?
  • Improving performance with caching
  • Cache data to improve performance
  • Distributed Cache Feature Set
  • Cache Simple Example
  • Custom Caching
  • Caching and In-Memory Data Storage:

  • Caching Strategies in Distributed Caching

    0

    There are several caching strategies that can be used in

    distributed microservices:

    ▪ Cache Aside

    ▪ Read-Through

    ▪ Write-Through

    ▪ Write-Back, Write-Behind

    ▪ Cache Aside Strategy

    Client checking the cache for data before making a request to

    the backend service. When microservices needs to read data

    from the database, it checks the cache first to determine

    whether the data is available.

    ▪ If the data is available (a cache hit), the cached data is

    returned. If the data isn’t available (a cache miss), the

    database is queried for the data.

    ▪ The client will retrieve the data from the backend service and

    store it in the cache for future requests.

    ▪ Data is lazy loaded into cache by client application.


    https://medium.com/an-idea/a-quick-introduction-to-distributed-caching-b6170d6b6208

    Popularity 7/10 Helpfulness 1/10 Language whatever
    Source: Grepper
    Link to this answer
    Share Copy Link
    Contributed on Feb 03 2023
    Pragya Keshap
    0 Answers  Avg Quality 2/10


    X

    Continue with Google

    By continuing, I agree that I have read and agree to Greppers's Terms of Service and Privacy Policy.
    X
    Grepper Account Login Required

    Oops, You will need to install Grepper and log-in to perform this action.