DevOps

DevOps Red Hat

GitOps Guide to the Galaxy (ep. 75) | What’s new with Keptn?

Hilliary and Jonny are joined by Florian Bacher and Giovanni Liva from Dynatrace to discuss the opensource project Keptn, what’s changed since we last looked, and what you should know about it.

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Containers DevOps

ArgoCD Tutorial for Beginners | GitOps CD for Kubernetes

This ArgoCD crash course from TechWorld with Nana teaches you everything to get started with ArgoCD. ArgoCD is a GitOps continuous delivery tool that is gaining popularity in the DevOps world. First, you will learn what ArgoCD is and what are the common use cases or why we need ArgoCD. Then, you will see how […]

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MLOps

[Book club] Designing Machine Learning Systems: Chapter 1

This video is from MLOps Learners. Our book club will meet weekly, 10-11am PT on Saturday, to share learnings from Designing Machine Learning Systems (Chip Huyen). Each week, we’ll be discussing one chapter. One group will present the learnings and how the topics discussed have changed with generative AI. Everyone is welcome to follow along, […]

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AI MLOps Red Hat

AI 101: What’s the difference between DevOps and MLOps?

Prasanth Anbalagan (Senior Principal Technical Marketing Manager for AI) will share the differences and similarities between DevOps and MLOps.

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DevOps

A Complete Overview of DevOps

This video is from ForrestKnight. What the heck is DevOps? Well, it’s a continuous loop of plan, code, build, test, release, deploy, operate, monitor, and feedback. It’s how the development team and IT operations team automate and integrate the processes between them. And by definition, it’s a set of practices, tools, and a cultural philosophy. […]

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AI MLOps

How to Navigate MLOps with Third-Party Foundation Models

In fast-moving ecosystem of artificial intelligence (AI) and machine learning (ML), the integration of third-party foundation models into the development pipeline has emerged as a pivotal strategy for accelerating innovation and enhancing model performance. However, effectively incorporating these advanced models into the Machine Learning Operations (MLOps) workflow requires a nuanced understanding of both the technical […]

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AI Generative AI Large Language Models MLOps

LLMOps Demystified: A Deep Dive into Large Language Model Operations

Machine learning operations (MLOps) is an important process to make sure Machine Learning applications remain operational, but before you apply the same process to your large language models (LLM), Martin explains why and how LLMs need to be treated differently and the process known as LLMOps

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AI MLOps Open Source Red Hat

Breaking Barriers: How OpenShift AI Connects MLOps and DevOps

The use of generative AI to create meaningful services that help businesses and people has accelerated over the last year. OpenShift AI bridges the gap between data scientists who are creating the models in the MLOps world and the application developers creating applications in the DevOps world. Learn more: https://red.ht/openshift_ai

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DevOps

What is a webhook?

This video is from Red Hat Ansible Automation.

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AI DevOps MLOps Red Hat

6 Observability Myths in AIOps Uncovered

Observability and monitoring? Aren’t they the same thing? That’s what a lot of people think, but they’re mistaken. This leads them to misinterpret other monitoring considerations. In this video, IBM VP Chris Farrell takes down six different observability myths one-by-one. Debunking the myths of observability → https://ibm.biz/debunking_myths_of_observability

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