Oil and gas refineries face intense workload surges during scheduled maintenance windows, especially when deploying custom-built turnaround applications in Azure. Static scaling strategies often fail to meet these demands, leading to latency, performance degradation, and rising operational costs.

In this session, we’ll explore a novel Ansible-based automation framework designed to dynamically scale Azure App Services in real time—tailored specifically for refinery turnaround workloads. You’ll learn how infrastructure-as-code and agentless automation can be combined with continuous monitoring to create adaptive, latency-aware scaling workflows. We’ll dive into the challenges of cold starts, frequent up/down scaling, and Ansible playbook execution delays—and how this framework overcomes them.

Attendees will walk away with:

A practical blueprint for dynamic resource provisioning in Azure using Ansible

Insights into reducing resource waste and improving application performance

Strategies for minimizing human error through automated configuration management

Lessons applicable across industries with similar workload variability

Whether you're in industrial operations, cloud architecture, or DevOps, this session offers actionable techniques to optimize performance and cost-efficiency in complex environments.