Artificial Intelligence Hardware Infrastructure Tuning 
Dynatrace
OCTOBER 2, 2023
Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.
Dynatrace
JANUARY 26, 2021
This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.
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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. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) Which Model?
Dynatrace
NOVEMBER 15, 2021
Logs can include data about user inputs, system processes, and hardware states. This includes troubleshooting issues with software, services, and applications, and any infrastructure they interact with, such as multicloud platforms, container environments, and data repositories. Optimized system performance. Increased collaboration.
O'Reilly
SEPTEMBER 19, 2023
Plus there was all of the infrastructure to push data into the cluster in the first place. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). ” scenarios at industrial scale.
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