201 · Question #66
A site has six members in a pool. All of the servers have been designed, built, and configured with the same applications. It is known that each client's interactions vary significantly and can…
The correct answer is C. Observed. To evenly distribute traffic across all pool members with varying client interactions affecting performance, the Observed load balancing method is most effective as it dynamically adapts to real-time server load.
Question
A site has six members in a pool. All of the servers have been designed, built, and configured with the same applications. It is known that each client's interactions vary significantly and can affect the performance of the servers. If traffic should be sent to all members on a regular basis, which loadbalancing mode is most effective if the goal is to maintain a relatively even load across all servers.
Options
- ARatio
- BPriority
- CObserved
- DRound Robin
How the community answered
(60 responses)- A2% (1)
- B7% (4)
- C88% (53)
- D3% (2)
Why each option
To evenly distribute traffic across all pool members with varying client interactions affecting performance, the Observed load balancing method is most effective as it dynamically adapts to real-time server load.
Ratio load balancing distributes connections based on static, predefined weights, which does not dynamically adjust to real-time performance variations caused by differing client interactions.
Priority load balancing is designed for failover scenarios, directing traffic primarily to higher-priority servers and not ensuring a regular, even distribution across all members.
The Observed load balancing method dynamically monitors pool member performance by tracking metrics like connection counts or response times, ensuring new connections are sent to the server with the least load. This dynamic adjustment is crucial for maintaining an even load when client interactions unpredictably affect server performance across identical application servers.
Round Robin load balancing distributes connections sequentially without considering the current load or performance of individual servers, making it ineffective for maintaining an even load when client interactions vary significantly.
Concept tested: F5 BIG-IP dynamic load balancing for even load
Source: https://techdocs.f5.com/en-us/bigip-15-0-0/big-ip-local-traffic-management-concepts/load-balancing-methods.html#observed
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