Clustering and load balancing support scalability by distributing demand across multiple servers, allowing infrastructure to grow alongside client needs. Horizontal scaling adds more servers to meet demand, while vertical scaling increases the resources of existing servers.
Scaling & Load Balancing
Scaling has to do with availability in the sense that as our clients grow, we need to grow with them. If we don't, then we're not going to be able to provide the services at the level that we need to provide them. Our services are not going to be available the way they need to be available. So we need to make sure things are scalable, and clustering and load balancing help us do that.
When we use some sort of load balancer, or we use clustering, or both, in order to bring on new servers, what we can do is easily turn that into something that scales well. That is, now we just need to add new servers to the cluster or to the load balancer in order to scale up.
We could have these extra servers offline and just sitting there ready to be turned on and activated, or perhaps they're not even existent and then we create them when we have the demand for them, so they can be created on the fly.
I will specify, we call this horizontal scaling, and it looks deceptive by my diagram here, because we're scaling up, but this is considered horizontal.
Vertical scaling means that we're taking a server and we're increasing the CPU, RAM, storage, GPU, or any one of those components, or all of those components, to make it larger, to make it bigger. That would be considered vertical scaling.
Horizontal scaling just means that we're taking that server and we're scaling more of them. So even though we're going up with my diagram right here, we're creating more servers, so this would be considered horizontal scaling.
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