Caching Strategies for Low Latency
In system design, caching strategies are essential for achieving low latency and high throughput. Here are some caching strategies commonly used in system design to optimize performance:
1. Cache-Aside (Lazy Loading)
Also known as lazy loading, this strategy involves fetching data from the cache only when needed. If the data is not found in the cache, the system fetches it from the primary data store (e.g., a database), stores it in the cache, and then serves it to the client. Subsequent requests for the same data can be served directly from the cache.
2. Write-Through Caching
In write-through caching, data is written both to the cache and to the underlying data store simultaneously. This ensures that the cache remains consistent with the data store at all times. While this strategy may introduce some latency for write operations, it guarantees data consistency.
3. Write-Behind Caching
Also known as write-back caching, this strategy involves caching write operations in the cache and asynchronously writing them to the underlying data store in the background. This approach reduces latency for write operations by acknowledging writes as soon as they are cached, while also improving throughput by batching and coalescing write operations before persisting them to the data store.
4. Read-Through Caching
Read-through caching involves fetching data from the cache transparently to the client. If the requested data is not found in the cache, the cache fetches it from the underlying data store, caches it for future requests, and then serves it to the client. This strategy reduces the load on the data store and can improve read latency for frequently accessed data.
5. Cache Invalidation
Implement mechanisms to invalidate cache entries when the underlying data changes. This ensures that stale data is not served to clients. Techniques such as time-based expiration, versioning, and event-driven cache invalidation can be used to keep the cache consistent with the data store.
Low latency Design Patterns
Low Latency Design Patterns help to make computer systems faster by reducing the time it takes for data to be processed. In this article, we will talk about ways to build systems that respond quickly, especially for businesses related to finance, gaming, and telecommunications where speed is really important. It explains different techniques, like storing data in a cache to access it faster, doing tasks at the same time to speed things up, and breaking tasks into smaller parts to work on them simultaneously.
Important Topics for Low latency Design Patterns
- What is Latency?
- Importance of Low Latency
- Design Principles for Low Latency
- How does Concurrency and Parallelism Helps in Low Latency?
- Caching Strategies for Low Latency
- Optimizing I/O Operations for Low Latency
- Load Balancing Techniques
- Challenges of achieving low latency
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