Qeraunos - An ultrafast, lightweight caching solution for GraphQL | Product Hunt

Qeraunos can be implemented on both the client side and server side, utilizing our custom caching algorithm to effectively store GraphQL queries. Our algorithm uses a mixture of LFU and LRU eviction policies to keep the queries you use the most, while evicting the least frequently and recently used for a robust and effective eviction policy. This efficient design allowed for the most optimal time complexity of O(1) for insertion, deletion, and lookup. On the client side, we employed LocalForage to provide faster access and larger storage capacity alongside our algorithm to bring query speeds down to under 1ms, an average decrease of around 99.8%. In fact, it's so fast, we thought it was an error when we saw a response time of 0ms. However, at this time, client side caching does not support mutations.

Qeraunos utilizes the same efficient technology on the server side with our own custom cache. Response times are just a bit slower than the client side of course, but are still blazing fast with an average of 10ms, for an average decrease in response times of around 98%. It has the additional capability to cache mutations as well. With each mutation you make, every associated item in the cache will be updated with the new values from the mutation. Our custom key generator uses GraphQL's AST to parse through queries and join together data in a meaningful way that allows for advanced queries such as mutations.

Additionally, since Redis is a popular database to use for caching, we integrated full Redis compatibility in Qeraunos on the server side. However, if you do choose to use Redis to cache your GraphQL queries, please take note that it's not nearly as fast as ours since it clocks in at approximately 20ms, for an average decrease of around 96%. It does have the benefit of a larger storage space solution if you need to scale though.

Woohoo! 🎉 Congrats on the launch of Qeraunos! 🎉 Does the server side cache support complex queries? 🤔 I'm sure the response times are so fast that the queries actually get to the server before they're sent! 🤪

Congrats on the launch of Qeraunos! It looks like an amazing solution for caching GraphQL queries and mutations. I'm curious to learn more about how the LFU and LRU eviction policies work together!

Interesting. Forwarding this to my tech team.