In the previous five blogs, we explored how to analyze SAP HANA system workload issues from various angles, including CPU, memory, NUMA, network, I/O, and HANA internal functions. With these analyses, we should have a clear understanding of what fact...
In the last blog, we discussed how network, I/O, and locks can influence HANA workloads. In this blog, we will continue by exploring how HANA's internal functions may affect performance and contribute to the overall workload.HANA Internal FunctionsTh...
In the previous blog, we examined workload analysis from the perspective of HANA memory, while in this blog, we’ll focus on the workload generated by network and disk I/O, as well as the impact of lock activities, as these components are integral to ...
In our previous blog, we explored the essentials of CPU analysis. Today, we shift our focus to memory-related workload patterns in SAP HANA, aiming to derive actionable insights for optimizing memory resource utilization in the HANA system.Grasping t...
In this blog, we will explore the concept of workload patterns within the HANA Platform, including how to define and understand these patterns. Our primary focus will be on identifying opportunities to make the HANA workload more comprehensible and m...
