Dynatrace

OCTOBER 2, 2023

As an AI-driven, unified observability and security platform, Dynatrace uses topology and dependency mapping and artificial intelligence to automatically identify all entities and their dependencies. With real-time observability, teams can easily plan their migration and fine-tune performance as they migrate microservices.

Architecture 278

Architecture Artificial Intelligence Cloud Open Source 278

O'Reilly

MARCH 25, 2025

What we see here, though, is the emergence of the first iterations of the LLM SDLC: Were not yet changing our embeddings, fine-tuning, or business logic; were not using unit tests, CI/CD, or even a serious evaluation framework, but were building, deploying, monitoring, evaluating, and iterating!

Systems 69

Systems Development Tuning Monitoring 69

Scalegrid

JANUARY 11, 2024

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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?

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137

InfoQ

MAY 8, 2024

Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized? By Jules Damji

Tuning 92

Tuning Infrastructure Artificial Intelligence Data Engineering 92

O'Reilly

APRIL 4, 2024

Others had already deployed the capital to build much of the infrastructure for ride-hailing—GPS satellites and GPS-enabled smartphones. In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. That kind of investment was unnecessary in the case of ride-hailing.

Artificial Intelligence 95

Artificial Intelligence Open Source Innovation Transportation 95

O'Reilly

JUNE 14, 2024

They expanded their work at Miso to build easily tappable infrastructure for publishers and websites with advanced AI models for search, discovery, and advertising that could go toe-to-toe in quality with the giants of Big Tech. You can read a bit about its internal workings , but in essence, it was a RAG engine minus the “G” for “generative.”

Open Source 119

Open Source Media Tuning Engineering 119

O'Reilly

SEPTEMBER 19, 2023

Plus there was all of the infrastructure to push data into the cluster in the first place. You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task. A basic, production-ready cluster priced out to the low-six-figures.

Hardware 135

Hardware Storage Big Data Blockchain 135