You are designing a microservices architecture where different services need to access shared data. How would you implement caching to ensure data consistency across services?
- Distributed Caching
- Local Caching
- Centralized Database
- Data Replication
In a microservices architecture with shared data, Distributed Caching would be the ideal choice. Distributed caches ensure data consistency across services by replicating data across multiple cache nodes, making it accessible to all services while maintaining data integrity. Local Caching is limited to individual services, and Centralized Databases may introduce bottlenecks and fail to ensure data consistency. Data Replication can be complex and is not a direct caching strategy.
Loading...
Related Quiz
- To specify a specific version of a package in the package.json file, you can use a ______ to define the exact version number.
- In Express.js, how can you handle errors occurring in asynchronous code within a route handler?
- How can you pass data from your Express route handler to your EJS view?
- Which of the following is a correct way to declare a function in JavaScript?
- Node.js uses ________ to achieve Non-Blocking I/O operations, allowing it to handle many connections simultaneously.