Code Hardware Tuning Virtualization 
HammerDB
APRIL 19, 2023
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.
Adrian Cockcroft
JUNE 21, 2022
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.
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Dotcom-Montior
NOVEMBER 11, 2020
Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Benefits of a Serverless Model. Scalability.
The Agile Manager
JUNE 30, 2015
Virtual data centers, real-time algorithmic pricing, and new media are simply larger versions of that same phenomenon. Operations and execution matter to the bottom line, but ultimately dance to the tune called by finance. Production isn't what it used to be.
Dynatrace
JANUARY 26, 2021
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.
Abhishek Tiwari
JULY 12, 2018
A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. If tuned for performance, there is a good change reliability is compromised - and vice versa. In some cases, this can be enhanced by combining data virtualization techniques with microservices architecture.
O'Reilly
NOVEMBER 28, 2023
Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.
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