Make sure to benchmark performance when implementing SAP on Google Cloud
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Key Takeaways
⇨ Benchmarking performance at various stages—pre-implementation, during implementation, and post-migration—ensures SAP systems meet business needs and helps identify performance bottlenecks.
⇨ The Performance Dashboard from Google Cloud aids in monitoring latency between regions, which is crucial for the efficiency of SAP processes and overall system performance.
⇨ Choosing the right Google Cloud region is essential to minimize latency between on-premise environments and the cloud, as high latency can significantly impact the response and transaction times for SAP systems.
Measuring performance and benchmarking progress is an integral part of the SAP on Google Cloud implementation process. By regularly measuring and evaluating implementation progress, organizations can evaluate whether or not the SAP system will be able to meet business needs without negatively impacting any other processes.
What benchmarking performance means at different stages
During the pre-implementation stage, benchmarking will measure how well a new SAP system will perform in an organization’s on-premise environment. The point of measuring performance at this stage is to provide a suitable control, or baseline, to compare the new SAP system against once it’s been migrated to a Google Cloud environment.
The next stage you should benchmark performance is during implementation. The point of benchmarking at this stage is to identify and action any performance bottlenecks that occurred during implementation. Load testing should be performed at this point in the tech integration process.
Finally, once the system has been migrated through to the Google Cloud environment, benchmarking performance at this stage should help identify any degradation in quality that could have occurred over time. It’s also easier to find and address any underperformance issues during this point in the process.
Benchmarking with Google Cloud
Google Cloud created the Performance Dashboard, allowing users to check the latency between each Google Cloud region. Controlling latency between SAP processes can determine how efficient the new software is.
Carefully consider what region to choose for new SAP systems – take into account the network latency between an on-premise environment and the DR region in the cloud. High-latency between apps and databases can slow down response and transaction times. Lower zone-to-zone latency is integral for SAP systems that are configured to replicate data across different regions and zones. When latency is too high, SAP system performance will drop.
Benchmarking performance at different stages of the SAP on Google Cloud implementation journey can demonstrate whether or not an SAP system will match the performance needed for a modern, competitive business.
