AI – Performance Methodology in the Cloud – Part 3

What is the first step in the map and zoom methodology?

True or false: The map and zoom methodology can be used to determine the BIOS information of a system.

True or false: The map and zoom methodology is used to determine the hardware and software details of a system.

What is used to depict traffic between nodes?

True or false: By distributing the DIMMs across all channels, the latency of the system can be increased.

What is used to determine the hardware and software details of a system?

True or false: Traffic between nodes can be depicted with the help of arrows.

What is used to generate a load on a system?

True or false: The map and zoom methodology is used to determine the expectations of the process.

What is used to make sure the software is consistent with the hardware?

What is depicted by the number in the map and zoom methodology?

What can be snapped based on the Linux subsystem?

What does the hockey stick curve indicate?

What is used to quickly show the biggest issues?

What type of environment can the services be in?

The map and zoom methodology has four parts: a platform and infrastructure health check, map, zoom, and characterization and profiling.
Map uses TCP instrumentation to show interactions between services. These services don't need to be in the cloud. They can be on bare metal or virtualized environments.
Traffic between nodes is depicted with the help of the arrow, and latency is depicted by the number.
This simple way of showing a software stack becomes critical for performance analysis because it quickly shows the biggest issues.
By performing a health check, you can locate a node you think is taking too much time.
In the first system, we see the hockey stick curve shoots up quickly where we had an asymmetric population. So, the latency was increased.
By distributing the DIMMs equally across all channels, we can generate a load on the system to figure out its bandwidth and latency characteristics.
The map and zoom methodology for full-stack workload profiling in the cloud is used to determine the hardware and software details of a system.
This includes the BIOS information, power, and frequency, as well as C-states and P-states.
A lot of hardware details can be snapped based on the Linux subsystem.
In addition, a lot of software details such as the OS, the kernel, the microcode, and all the libraries that are present on the system can be captured.
This information is used to determine the expectations of the process, which makes sure that the software is consistent with the hardware.

This quiz covers the map and zoom methodology for full-stack workload profiling, focusing on platform and infrastructure health checks, TCP instrumentation for service interactions, depiction of traffic and latency, hardware and software details determination, and its importance for performance analysis.