Scaling Memcached horizontally involves adding more servers to your Memcached cluster, allowing the system to distribute the load across multiple machines. This increases cache space and distributes the processing load, improving the system's overall capacity and performance.
Here are the steps to do that:
sudo apt update sudo apt install memcached
If you're using the python-memcached
client, for instance, it would look something like this:
import memcache servers = ['192.168.1.1:11211', '192.168.1.2:11211', '192.168.1.3:11211'] mc = memcache.Client(servers) mc.set('key', 'value') print(mc.get('key'))
In this example, 192.168.1.1
, 192.168.1.2
, and 192.168.1.3
are the IP addresses of your Memcached servers. Note that you need to replace them with the actual IP addresses of your machines.
Remember, horizontal scaling requires management of the server pool and proper distribution of cached objects. It's also important to note that Memcached does not sync data between different servers - if one server fails, the data contained within it will be lost until it's repopulated. Therefore, Memcached should only be used to cache data that can be regenerated or re-queried from a persistent storage layer.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.