Organizations while dealing with cloud performance issues are quick to increase the resources available to the underperforming workload. To deal with storage input/output performance, more cores or CPU is added or memory is increased so that virtual storage input/output is avoided altogether.  

The enterprise cloud computing solution provider will also advice the same. It should also not be forgotten that they profit from this advice even if it’s in the best interests of the company. It’s not about splurging the money and resources at a badly performing workload.

Cloud Technologies performance engineering is more and more fine-tuned.

The following three aspects should be taken into consideration before giving that nod to spend that hard earned money.

Application Inspection

Poor cloud performance cannot always be blamed on insufficient resources. It might be because of a badly designed, programmed and deployed underlying application.

A simple code and design tweak can save you from paying up the exorbitant cloud company bills, while using minimum viable cloud resources.

Intra Cloud-network Latency

It’s a common misconception that the intra cloud network bandwidth will exceed any workload requirements. A number of times when the workload is disconnected from the data source, the issue is with the bandwidth of the workload hosting machine and the data source, be it intra cloud or inter cloud.

It’s difficult to check the intra cloud bandwidth, but not entirely impossible. It will be advisable to learn how to diagnose the issues related to the cloud-native tools from the cloud service provider.

Database

Most database performance issues, be it cloud or not, stems from a poorly designed database. Index utilization and caching schemes are the usual go to s but this depends on the underlying database. 

The above is just tip of the iceberg there is much more to cloud performance.