Systems | Development | Analytics | API | Testing

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Simplifying Deployment of ML in Federated Cloud and Edge Environments - MLOPs Live #12 - with AWS

We discuss some common applications for machine learning at the edge and the main challenges associated with deploying distributed cloud and edge applications. We then wrap up the session with a live demo showing how to run a distributed cloud or edge application on Amazon Cloud and Outposts with the Iguazio Data Science Platform.

How Feature Stores Accelerate & Simplify Deployment of AI to Production MLOPs Live #13

The breakdown:

00:00 - Intro
02:15 - MLOps Overview
05:03 - Feature Engineering
07:44 - MLOps Workflow
10:44 - Solution: Feature Store
14:25 - Feature Store Competitive Landscape
17:03 - Features of a Feature Store
21:01 - CTO: Feature Store Sneakpeak
25:55 - Python Code example
27:57 - ML Pipeline example
30:07 - Covid-19 Patient Deterioration
33:26 - LIVE DEMO
52:45 - QA

APIOps for Standardization Without Hindrance (Destination: Scale)

Typically, there are two options to ensuring APIs have the right governance: manual checks or long documentation (or both). There is now a third option in APIOps — integrating your GitOps process with the API lifecycle, automating the enforcement of API standards from design time. This ensures API security, quality, consistency and resiliency across distributed teams at scale, therefore improving productivity for developers and operators whilst reducing risk overall.

What are the best multi-browser testing tools?

When we write scripts for one browser, they may not necessarily run on all browsers. It’s a no-brainer. And, we all know that a few browsers can limit certain features. For instance, if we design features that run on Safari on Mac OS, those features may not function across other browsers. To ensure the features run uniformly across various browsers and OS versions that our users have, we should perform multi-browser testing.

Straight Talk, No Chaser: How to Jumpstart Your Hyperautomation Journey, Part 2

Hyperautomation is about making humans more human. So said automation expert Arjun Devadas in the first episode of this two-part post on hyperautomation. (Read part one here). Devadas—who serves as Senior Vice President, Professional Services & Operations, Americas at Vuram, a hyperautomation services company—debunked a few myths and spilled some pragmatic tea on how to get the most out of your hyperautomation journey.