DevOps

Azure DevOps

Azure DevOps Training at Deccansoft by Sandeep Soni

Tutorial on Azure DevOps.

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DevOps Red Hat

Managed GitOps in the Clouds

From code to production with the blink of an eye. This is what we all want. But how can we move our CI/CD processes into the cloud in a seamless and integrated way? What are the necessary steps, how do you report the relevant metrics, and how can you become more productive again? Watch this […]

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DevOps Red Hat

GitOps backed RBAC and Incident response

Hilliary brings back SRE guest Jesse Sarnovsky to discuss SRE’s GitOps backed RBAC and Incident Response.

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AWS DevOps

Infrastructure as Code and GitOps in motion with Pull Pattern Deployment

From the AWS User Group in Singapore. This talk starts with the quick introduction of Infrastructure as a code/Gitops to keep everyone on the same page. Followed by extensive discussion on the pull pattern for Infrastructure as a code and Gitops with the emphasis on security best practices ( like ensuring instance role is assumed […]

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MLOps Red Hat

Technically Speaking (E15): Machine learning model drift & MLOps pipelines

Machine learning at the edge is trendy, but what basics do you need to know? In this episode, Kavitha Prasad from Intel joins Chris Wright to talk about machine learning, MLOps and model drift. They discuss causes of model drift, how MLOps is similar to DevOps, how ML pipelines can help make model development and […]

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Azure DevOps

No Code Workshop Part 1: How to Create a Pre-Populated Azure DevOps Project

Great resource on Azure DevOps and Low-Code. In order to follow along with the rest of this micro-workshop, Learn Modules, and anything at #azure #devops Labs, you will want to use the Project Generator Tool and Tailwind Trader Template.

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DevOps Red Hat

Codefresh hosted GitOps on OpenShift

Christian Hernandez returns as a guest to talk about Codefresh’s hosted GitOps offering running on OpenShift.

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Databricks MLOps

MLOps on Databricks: A How-To Guide

As companies roll out ML pervasively, operational concerns become the primary source of complexity. Machine Learning Operations (MLOps) has emerged as a practice to manage this complexity.

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MLOps

How MLOps was Unified at Microsoft

Moe Steller and Setu Chokshi stop by to talk about MLOps (v2) Fundamentals, MLOps (v2) Approach, Architectures, MLOps (v2) and they’ll demo each new feature.

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