Analytics Hardware Innovation Tuning 
Dynatrace
NOVEMBER 15, 2021
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log analytics? Log monitoring vs log analytics.
Dynatrace
AUGUST 12, 2020
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. So stay tuned! Dynatrace news.
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Dynatrace
AUGUST 12, 2020
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. So stay tuned! Dynatrace news.
Dynatrace
SEPTEMBER 29, 2021
Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. But first, some background. Why containers? Watch webinar now!
The Netflix TechBlog
APRIL 29, 2019
Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. CORE The CORE team uses Python in our alerting and statistical analytical work. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid.
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.
All Things Distributed
NOVEMBER 30, 2016
Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.
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