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The @crushers-lab/distributed-lru-cache NPM package is a powerful and efficient solution for implementing a Distributed Least Recently Used (LRU) Cache in your Node.js applications. This package seamlessly combines the benefits of in-memory caching and distributed caching, addressing key challenges in web development related to data retrieval speed, resource efficiency, and cache invalidation.Features:<ol><li>Distributed LRU Cache: Leverage the combined strength of in-memory caching and Redis, a versatile key-value store, to create a distributed LRU cache. This results in enhanced application responsiveness and optimized performance.</li><li>Redis Backend: The package provides a Redis backend for efficient data storage and retrieval. Redis is configured to act as an LRU cache, ensuring that recently used data is prioritized for quick access.</li><li>Automatic Cache Invalidation: The package incorporates Redis Keyspace Notifications to enable automatic cache invalidation across multiple instances. This ensures that changes or deletions made in one instance are promptly reflected in others.</li><li>Event Listening: Instances using the package listen to Redis channels for key-related events, such as deletion, expiration, and eviction. This allows for real-time adjustments in local caches, maintaining data consistency.</li><li>Configurability: The package offers various configuration options, including Time-To-Live (TTL) settings for both in-memory and Redis caches, allowing developers to fine-tune cache behavior based on their specific requirements.</li><li>Compression Support: Data stored in Redis is compressed, reducing storage requirements and enhancing overall efficiency. Developers can also implement custom compression algorithms if needed.</li><li>Key and Value Serializers: To accommodate custom data types, the package supports key and value serializers, providing flexibility in handling diverse data structures.</li></ol>

Distributed LRU Cache

Optimuss is a device-aware CDN. It delivers images based on the device and the capabilities of the device.Right now it detects tablets, mobiles, and desktops.Primarily made for industries that use a lot of images in their content. Like eCommerce, bloggers, and landing pages.Since image size is reduced load times will be fast with less bandwidth consumption.It gives one dynamic URL so developers do not need to write code to handle all devices.