Hello,
I am running multiple instances of Squid in a K8S environment, each Squid instance has a helper that authenticates users based on their username and password, the scripts are written in Python.
I have been facing an issue, that when under load, the helpers (even with 3600 sec TTL) swamp the MariaDB instance, causing it to reach 100% CPU, basically I believe because each helper opens up its own connection to MariaDB, which ends up as a lot of connections.
My initial idea was to create a Redis DB next to each Squid instance and connect each Squid to its own dedicated Redis. I will sync Redis with MariaDB every minute, thus decreasing the connections count from a few 100s to just 1 every minute. This will also improve speeds since Redis is much faster than MariaDB.
The problem is, however, that there will still be many connections from Squid to Redis, and I probably that will consume a lot of DB resources as well, which I don't actually know how to optimize, since it seems that Squid opens many processes, and there is no way to get them to talk to each other (expect TTL values, which seems not to help in my case, which I also don't understand why that is).
What is the best practice to handle this? considering I have the following requirements:
Thanks,1. Fast2. Refresh data every minute3. Consume as least amount of DB resources as possible
Roee
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