videos VS Memcached

You can also do something similar with direnv for example (see 1 and 2); and even better if you use the tools.go paradigm then you can have different versions of your binaries relative to your project as well.

Example for reference.

Please refer to the full example code for more details.

There's a simple CLI tool I built for requesting OpenWeather information using their API, please refer to the final repository for actually running the full examples.

You don't mention what package you're using, but if you're using github.com/go-redis/redis/ you can marshal your struct using encoding/go and then use the SET and SET commands because for Redis everything is bytes, see https://github.com/MarioCarrion/videos/blob/main/2021/03/11-golang-microservices-caching-redis/redis.go I have video covering that exactly: https://youtu.be/wj6-w0DLKRw

The full code example mentioned in this post is available on Github, please make sure to read the README for specifics.

The code of the examples below are available on Github.

Below there are some code snippets, please refer to the final repository for actually running the complete code examples.

Repository including the code example.

> Multiple clients racing can't be fixed.

Really? You can't think of a single way for multiple clients to operate on the same data without racing? (Here's a hint if you're still having trouble: https://github.com/memcached/memcached/wiki/Commands#cas.)

Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs.

Oh, thank you! I didn't realize that LRU Maintainer Thread was more than an expiration reaper. When it was first being introduced that was its first responsibility as lazy expiration removal by size eviction meant dead entries wasted capacity. It was all work in progress when I had read about it [1] and talked to dormando, so it got fuzzy. The compat code [2, 3] might have also thrown me off if I only looked at the setting and not the usage. Its a neat variant to all of these ideas.

[1] https://github.com/memcached/memcached/pull/97

stores session state in a session store like Memcached or Redis.

memcached has recently gained the ability to spill to disk: https://github.com/memcached/memcached/wiki/Extstore

we recently implemented this to grow our caches to >50TB

Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers.

In server-side authentication, the session state is stored on the server-side, which can be scaled horizontally across multiple servers using tools like Redis or Memcached.