The hottest Caching Substack posts right now

Caching helps things load faster by storing them closer to the user.
Caches can be deployed across different parts of a tech stack like CPU, hard disk, and network.
Client-side caching in the browser and server-side caching on the server are two main types used in product development.

Caching like Redis stores frequently used data for faster retrieval, improving response times, reducing database load, and leading to cost-effectiveness in running high-traffic applications.
Redis is fast due to in-memory storage, optimized data structures, reduced I/O operations, single-threaded architecture, and event-driven design, but has limitations like limited capacity and issues with data persistence.
Choosing the right caching system, like Redis, requires considering factors like data size, access patterns, consistency requirements, and fault tolerance for high availability and durability.

Uber developed CacheFront, an integrated caching solution to overcome problems like maintenance overhead, reduced developer productivity, and region failovers caused by using Redis for caching
Docstore's architecture includes a Control plane, Query Engine, and Storage Engine, with relevant responsibilities for each layer like query execution, data persistence, transaction management, and more
CacheFront's design addressed non-functional requirements like consistency guarantees, cache warming & region failovers, fault tolerance, hot partition issues, and performance & cost improvements

Bloom filters are useful for checking non-existence in a set, not for checking if something is in a set.
In a bloom filter, bits are manipulated based on hashed indices to represent elements in a set.
The size of the filter (m) and number of hash functions (k) are important factors in bloom filter implementations.

Heroku add-ons can make server setup smoother by providing services like databases and caches, allowing for flexibility as the application grows.
Choosing cost-effective and reliable database add-ons like Heroku Postgres can be crucial for project success, offering scalability without losing data.
Utilizing cache add-ons like Redis Cloud and search engine add-ons like Bonsai Elasticsearch can enhance app performance, with options for free plans to start.

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A new initiative has been announced to bring reliable and scalable real-time features to serverless JavaScript applications using AnyCable, Next.js, Vercel, and Fly.io.
Consider the potential for caching at the WebSocket level to improve performance and efficiency in handling live updates within small-to-medium web applications.