Tag: performance optimization
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CQRS Pattern
CQRS (Command Query Responsibility Segregation) and Reactive Programming are two powerful software design paradigms that complement each other when building highly scalable, responsive systems, particularly in the context of complex applications such as e-commerce platforms or real-time data processing systems. CQRS Pattern CQRS is an architectural pattern that separates the handling of commands (which modify…
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Data Sharding
Data sharding is a technique used in distributed databases to improve performance, scalability, and availability. It involves splitting a large dataset into smaller, more manageable pieces called “shards,” each of which can be stored across different servers or nodes. This approach enables faster data access, reduces the risk of system overload, and provides a more…
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Caching : Write Through Strategy
The Write-Through Strategy is a caching technique used to ensure consistency between the cache and the primary data source. It is widely used in systems where data integrity and durability are critical, such as databases, distributed systems, and file storage. What is Write-Through Caching? In the Write-Through approach, every write operation is performed simultaneously on…
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Caching : Cache Aside Strategy
The Cache Aside Strategy is a popular caching approach used to improve the performance of systems by reducing latency and ensuring efficient data retrieval. It is commonly applied in databases, web applications, and distributed systems to handle frequently accessed data efficiently. What is Cache Aside? Cache Aside, also known as Lazy Loading, is a caching…
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Client Caching
Client caching is a caching strategy where data is stored on the client side, reducing the need for repeated requests to the server. By keeping frequently accessed data locally, client caching improves performance, minimizes latency, and reduces the load on servers and networks. This is particularly useful in distributed systems, web applications, and APIs, where…