Imagine you have a website that many people visit at the same time. What is the main reason to use load balancing?
Think about what happens when too many people try to use one server at once.
Load balancing helps by spreading the work across many servers. This keeps the website fast and reliable even when many users visit at the same time.
In a cloud setup with a load balancer, if one server stops working, what does the load balancer do?
Think about how to keep the website working smoothly even if one server has a problem.
The load balancer checks server health and stops sending traffic to any server that is not responding. This keeps the service available by using only healthy servers.
You want to design a web app that can handle sudden spikes in user traffic without slowing down. Which architecture best supports this?
Think about how to add or remove servers automatically based on traffic.
Using a load balancer with auto-scaling app servers allows the system to add more servers when traffic increases and remove them when traffic decreases, keeping performance steady and costs efficient.
Which security benefit does a load balancer provide in a cloud environment?
Think about how spreading traffic can help handle attacks that flood servers.
Load balancers can detect unusual traffic patterns and distribute or block harmful traffic, helping to reduce the impact of DoS attacks and improve overall security.
Your app has users worldwide. Which load balancing method best reduces latency by sending users to the closest server?
Think about how to make the website faster for users far away from the main server.
Geo-based load balancing directs users to the closest server geographically, reducing delay and improving user experience worldwide.