Interview Bootcamp

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Scalability

Scalability is the ability of a system to handle an increasing workload, either by adding more resources (scaling out) or by upgrading the capacity of existing resources (scaling up). In distributed systems, scalability is essential to ensure that the system can effectively manage the growing demands of users, data, and processing power. Here's an overview of the different aspects of scalability:

A. Horizontal Scaling

Horizontal scaling, also known as scaling out, involves adding more machines or nodes to a system to distribute the workload evenly

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Fayaz S

Fayaz S

· 3 years ago

what should be our approach or things to consider or how to start with if we are trying to design a scalable and high performing platform and cloud analytic monitoring solutions

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Shrikrishna jagdale

Shrikrishna jagdale

· a year ago

Normally in spring boot application we write validation checks for the request content, e.g headers, request body fields. What if we offload this validation to api gateway and let the application assume that only valid requests will land on the application's controller?

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D

dinko.osrecki

· 11 days ago

What is missing here is diagonal scaling (combined horizontal and vertical scaling of the same workload).

Imagine an application that is processing tasks of variable complexity and load. It can happen that servers are hit with a huge batch of highly complex tasks (while normally it processes steady number of tasks of lower complexity). In this case it makes sense to scale both vertically (more CPU/RAM to have capacity to handle a complex task) and horizontally (many tasks to process).