AI - Profile Your Production Workload in the Cloud

What is VTune Profiler?

True or false: VTune Profiler is capable of analyzing hardware resource utilization?

What type of profiling is available on most cloud VMs?

True or false: VTune Profiler requires an Intel processor to collect data?

What type of performance processes can VTune Profiler analyze?

What is required to enable Java-based sampling on a cloud instance?

What is the flame graph view used for?

True or false: VTune Profiler can be used to profile instances remotely from the web server?

What is the name of the hypervisor on AWS that provides access to most performance counters?

How many ways are available to collect data with VTune?

What type of sampling is used to analyze hotspots?

True or false: VTune Profiler can be installed via the command line on the target instance?

What is required to use the hardware-based sampling?

True or false: VTune Profiler is capable of looking at application-level performance processes?

What is the minimum number of file descriptors required for Java-based sampling?

How can VTune be used to profile instances that are remote from the web server?

What is the first step to set up VTune for profiling?

What type of hardware architectures does VTune keep up with?

What can VTune be used to analyze?

How can you determine if an application is not using memory or CPUs efficiently?

VTune Profiler is a performance analyzer that can be used to profile Java services in the cloud.
VTune Profiler is capable of all the performance collection capabilities just described, from looking at the system-level to application-level performance processes.
VTune is constantly updated to keep up with the new Intel hardware architectures, such as the latest Intel GPUs so that you can identify performance issues on all the newest hardware capabilities.
After a deeper analysis, you may have determined a function in your application isn't performing well, but you don't know why. So, you will want to look at what that function is doing, or what the application is doing to see if you can determine whether it's not using memory or CPUs efficiently.
VTune can be used to analyze the performance of an application in a variety of ways, from hardware resource utilization to threading parallelism.
There are two ways to collect data with VTune: software-based sampling, which works with almost every environment, and hardware-based sampling, which requires an Intel processor and the ability to run a hardware collector such as the VTune drivers or Linux perf.
VTune has a flame graph view that is more familiar to Java profilers.
Setting up VTune for profiling is possible in three ways: using the VTune web server capability, SSHing into the target system, or using the VTune Agent.
VTune can be used to profile instances that are remote from the web server.
You can use VTune to profile other instances by installing it on one instance and then using the profiler server.
VTune can also be used to profile the target instance by running the VTune GUI on your local system and connecting to the target.
The third way is to install via the command line on the target instance.

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