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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

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MySQL 8: Load Fine Tuning With Resource Groups

Percona

Essentially, you can assign a thread to a specific virtual CPU. assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. MySQL determines, at startup, how many virtual CPUs are available.

Tuning 44
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How to Assess MySQL Performance

HammerDB

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. Please refer to this tuning guide to tune the system for HammerDB: Open Source Database Tuning Guide on 3rd Generation Intel® Xeon® Scalable Processors Based Platform.

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Reinventing Performance Testing: New Architectures

Alex Podelko

The answer to this challenge is service virtualization, which allows simulating real services during testing without actual access. Cloud and virtualization triggered appearance dynamic, auto-scaling architectures, which significantly impact getting and analyzing feedback. Traditionally monitoring was on the system level.

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The Speed of Time

Brendan Gregg

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). But I'm not completely sure.

Speed 126
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Optimize your applications with 24×7 continuous thread analysis

Dynatrace

A scalable architecture needs to distribute work across many threads in order to facilitate all the CPUs of a physical or virtual machine. Ultimately, it leads to a state where your system won’t be able to process more data even if you add more hardware. Now let’s see how this works for the two use cases mentioned earlier.

Java 103
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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc. that a lot of people used.

Tuning 52