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How to Evaluate Enterprise Service Desk Automation Platforms (Before You Buy)

Apr 7, 2026 By John Gorham In Resolve
The market for enterprise service desk automation platforms has matured, but the way most enterprises evaluate them hasn’t. A lot of teams still start in the same place. They pull a shortlist from a review site, they compare pricing tiers, and sit through a few polished demos. Then, somewhere down the line, they realize they still haven’t answered the real questions that matter for their organization. What happens when the environment gets complicated and messy?
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logicmonitor

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

Apr 7, 2026 By Sofia Burton In LogicMonitor
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.
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Resolve Reels - Ep. 2 - Scheduled Jobs Dashboard LI

Apr 6, 2026 By Resolve In Resolve
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.
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From Reactive to Proactive: AI-Driven Automation for Shopify Infrastructure Monitoring

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

Apr 2, 2026 By OpsMatters In OpsMatters
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.
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