Vertical Scaling in Computing

Vertical scaling, also known as 'scaling up', is a method for boosting a system's capacity by adding more resources to the existing machine, which can involve upgrading components like the CPU, memory, storage, or network card.

Vertical scaling is suitable for simple workloads, starting out, internal systems, and limited downtime.

The limitations of vertical scaling are cost, single point of failure, and limited scalability.

<p>Horizontal scaling is often preferred for large-scale applications because it can distribute the workload across multiple machines, making it more scalable and less prone to downtime.</p> Signup and view all the answers

<p>Vertical scaling involves adding more resources to the existing machine, while horizontal scaling involves adding more machines to distribute the workload.</p> Signup and view all the answers

<p>Horizontal scaling, also known as 'scaling out', involves adding more machines (nodes) to distribute the workload, whereas vertical scaling involves upgrading a single machine.</p> Signup and view all the answers

<p>Load balancing ensures that incoming requests are distributed across multiple machines, preventing any single machine from getting overloaded.</p> Signup and view all the answers

<p>Horizontal scaling offers high availability, elasticity, and cost-effectiveness, making it ideal for cloud-based applications.</p> Signup and view all the answers

<p>The main benefit is increased processing power, storage capacity, and throughput, which can be scaled up or down as needed.</p> Signup and view all the answers

<p>Horizontal scaling can introduce complexity in managing a cluster of machines, and network overhead due to communication between machines.</p> Signup and view all the answers