Performance Patterns

Lazy Initialization is a technique that delays the creation of an object or the execution of a process until it is actually needed. Instead of initializing the object during the class or module loading phase, initialization is postponed to the first time the object’s methods are invoked or its properties are accessed. …

Read More

The Object Pool pattern is a creational design pattern that aims to improve performance by reusing objects that are expensive to create. Instead of creating a new object each time one is needed, the pool maintains a collection of pre-initialized objects. When an object is required, it’s borrowed from the pool; …

Read More

The Cache Aside pattern is a caching technique where the application first checks if the requested data exists in the cache. If it does, the cache returns the data immediately. If the data is not in the cache (a “cache miss”), the application retrieves it from the database, stores a copy in the cache for …

Read More

The Write-Through Cache pattern involves updating both the cache and the underlying data store simultaneously when a write operation occurs. Every write to the cache immediately propagates to the data store, ensuring data consistency. While this approach reduces read latency (data is often present in the cache) it can …

Read More

Double-Checked Locking is a software design pattern used to reduce the overhead of synchronization, specifically when initializing a resource, such as a singleton instance, in a multithreaded environment. It aims to combine the benefits of lazy initialization (delaying resource creation until it’s actually …

Read More

Lazy Load is a design pattern used in computer programming to delay the initialization of an object until the point at which it is first used. Instead of loading resources or creating objects upfront, the pattern postpones these operations to improve initial load times and conserve system resources. This is …

Read More

The Materialized View pattern is a way to optimize read performance by precomputing and storing the results of complex or frequently used queries. Instead of re-executing these queries every time they are needed, the precomputed results are retrieved directly from the materialized view, dramatically reducing latency. …

Read More

The Gateway Offloading pattern addresses scalability and performance issues in systems with a central gateway component. It involves distributing the load from the gateway to other services or infrastructure components – such as Content Delivery Networks (CDNs), alternative backend services, or dedicated processing …

Read More

The Write-Behind Cache pattern improves performance by allowing operations that modify data to complete quickly, without the latency associated with directly updating persistent storage. Instead of synchronously writing to the database or file system, modifications are first applied to the cache, and a background …

Read More