Efficiency Google Hardware Tuning 
Dynatrace
JANUARY 26, 2021
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. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. To answer the question ‘what is serverless?’
KeyCDN
AUGUST 15, 2019
Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Google Lighthouse Google Lighthouse is a free and open source tool that is part of the Google Chrome DevTools family. What is Performance Testing?
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KeyCDN
SEPTEMBER 20, 2018
Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. Not all back-end errors affect the user experience, but keeping track of them can prove helpful when tuning your app.
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. This can be efficient at the beginning but counter-productive in a long run.
Dynatrace
SEPTEMBER 29, 2021
Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.
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.
O'Reilly
SEPTEMBER 19, 2023
Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Between Google (Vertex AI and Colab) and Amazon (SageMaker), you can now get all of the GPU power your credit card can handle. Google goes a step further in offering compute instances with its specialized TPU hardware.
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