Memcached itself does not have built-in auto-scaling capabilities. It is a simple, in-memory key-value store designed for high-performance caching, and scaling requires manual intervention or external orchestration tools.
However, you can achieve dynamic scaling by deploying Memcached in a distributed architecture, where you add or remove nodes based on demand. For example, if your application's cache load increases, you can manually spin up additional Memcached servers and configure your client to distribute keys across them.
In cloud environments, platforms like Tencent Cloud provide managed services that simplify scaling. For instance, Tencent Cloud's TCM (Tencent Cloud Memcached) allows you to easily adjust the capacity of your Memcached instances by scaling up (increasing memory and CPU) or scaling out (adding more nodes) through the console or API, ensuring better performance during traffic spikes.
Example: If your e-commerce site experiences a surge in traffic during a sale, you can use Tencent Cloud TCM to quickly increase the cache capacity, reducing database load and improving response times.