pipy-demos VS Redis

Next, we will demonstrate how to use Pipy to implement a DNS proxy (more accurately, a combination of a proxy and a server) that returns DNS query requests from custom records. At the same time, we will also add a feature to return different DNS records based on the client IP address to achieve intelligent route resolution. The scripts used in the demonstration can be downloaded from here.

The demo source code is available on GitHub and can be downloaded from pipy-sqli-demo repository.

Sample policy and rules are defined in policy.json where we define 4 test accounts and some rules on which clients are allowed to subscribe/publish to which topics. Pipy proxy script will read this configuration file and enforce them before routing traffic to the upstream MQTT server. Refer to Publisher workflow and Subscriber workflow.

Full source of demo is available and can be downloaded from https://github.com/flomesh-io/pipy-demos/tree/main/pipy-redis-sentinel

Hi there! I want to show off a little feature I made using hanami, htmx and a little bit of redis + sidekiq.

Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance

One of the challenges Redis labs here have is that there's very little reason for their userbase to stay loyal to them.

antirez retired from Redis development a few years ago.

From https://github.com/redis/redis/graphs/contributors it looks like activity since he left has been mostly from people who didn't overlap with him much.

Redis Labs have not shown themselves to be outstanding stewards of the project as far as I can tell. Why shouldn't people support the fork?

Redis

Redis - real time data storage with different data structures in a cache

[0] https://github.com/redis/redis/blob/unstable/CONTRIBUTING.md

Cache: a Redis cache