Caching Strategies | System Design Interview | Write-Through, Write-Back, Cache Aside, Read-Through
In this in-depth video, we explore the power of caching in reducing latency and boosting application performance. Understanding various caching strategies is crucial for system design interviews and real-world applications. We'll cover key concepts such as cache hit, cache miss, latency, and Time To Live (TTL), and delve into the following caching strategies:
Read-Through Caching: Learn how data retrieval through the cache can optimize read-heavy applications.
Write-Through Caching: Discover how synchronously writing data to both cache and database ensures consistency.
Write-Around Caching: Understand the benefits of writing directly to the database while caching only frequently accessed data.
Write-Back Caching: Explore how asynchronous database updates can improve write performance, with considerations for data loss prevention.
Each strategy is explained with practical examples, highlighting their advantages, potential drawbacks, and ideal use cases. Whether you're preparing for a system design interview or looking to implement efficient caching in your projects, this video provides valuable insights to help you make informed decisions.
If you find this video helpful, please give it a thumbs up and share your thoughts or questions in the comments below. Let's keep learning and optimizing together!
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📌 Stay tuned for the next video, where we’ll explore advanced caching eviction policies.
📖 Chapters:
0:00 Introduction
0:23 Cache-Hit, Cache-Miss, Latency, TTL
1:35 Need for Caching
2:38 Read Through Caching
4:03 Write Through Caching
5:23 Write Around Caching / Cache Aside
7:07 Problems with Write Through Caching
7:30 Write Back Caching
8:04 Question for You!!!
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