Operations | Monitoring | ITSM | DevOps | Cloud

Traditional Automation vs. AIOps vs. Self-Healing Ops vs. Autonomous IT Explained

Autonomous IT becomes real when teams move from insight to governed action. Most IT teams still operate on an alert-first, human-coordinated model. When something breaks, alerts fire across multiple tools, engineers get pulled in, and the first part of the response goes to figuring out who owns the problem, which signals matter, and how far the impact has spread. Containment comes after that. That sequence made sense in slower, more isolated environments.

Resolve Reels - Ep. 2 - Scheduled Jobs Dashboard LI

Episode 2 of Resolve Reels is here. In this walkthrough, we introduce the new Scheduled Workflows Dashboard in Resolve Actions. Get a centralized view of every scheduled automation across your environment. Track execution status, monitor success and failure rates, and quickly drill into workflow performance. See how teams can: This is how modern IT teams move from reactive oversight to proactive control. With Resolve, automation is not just executed. It is continuously monitored, optimized, and scaled.

From Reactive to Proactive: AI-Driven Automation for Shopify Infrastructure Monitoring

Operations teams manage Shopify infrastructure with their eyes half-open most days. You're monitoring system health across multiple layers, responding to alerts when they fire, and hoping you catch problems before customers notice. The whole setup is reactive by design. Something breaks. You get paged. You investigate. You fix it. But here's what most ops leaders don't realize: your Shopify operation generates enough signals to predict problems hours (sometimes days) before they actually occur. The data's there. You're just not analyzing it at the right scale or speed.

Resolve Webinar: ITSM is Not Your Orchestration Platform

Is your ITSM platform quietly limiting your automation strategy? In this webinar, Resolve breaks down a critical misconception in modern IT operations: why ITSM systems were never designed to serve as orchestration engines, and what it’s costing your organization when they do. You’ll learn.