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Building an AIOps Platform at Enterprise Scale with Google Cloud

Offered By: Google Cloud Tech via YouTube

Tags

AIOps Courses Artificial Intelligence Courses Google Cloud Platform (GCP) Courses Predictive Analytics Courses Environmental Impact Courses Cost Optimization Courses

Course Description

Overview

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Discover how to construct an enterprise-scale AIOps platform using Google Cloud in this 27-minute video. Learn about leveraging AI to drive infrastructure efficiency initiatives, cut costs, and reduce environmental impact. Explore the advantages of building a custom solution over third-party AIOps tools, including enhanced features, flexibility for customizations, and granular cost controls. Gain insights into creating an infrastructure intelligence platform capable of understanding complex system interdependencies, detecting and predicting issues and outages, and automating remediation through integration. Follow Uber's journey and examine use cases, architecture, and Compute Engine recommendations. Presented by Bruno Patriarca, Sharon Fang, and Michael Sudakovitch, this session from Google Cloud Next offers valuable knowledge for IT organizations seeking to optimize their infrastructure management.

Syllabus

Introduction
What is AI Ops
Use case
Use cases
Ubers journey
Inactive projects on GCP
Architecture
Compute Engine Recommendation


Taught by

Google Cloud Tech

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