Operations | Monitoring | ITSM | DevOps | Cloud

How Amazon Bots Are Changing the Race for Sold-Out Products

Customers may have only a few moments to purchase a popular item when it comes back in stock on Amazon. Constantly refreshing product pages can be exhausting, and even spotting a restock does not mean you will have enough time to complete the order. Automation offers a more practical approach. With an Amazon bot, shoppers can monitor specific products, receive availability alerts, and respond faster without spending the entire day checking Amazon manually.

Why Financial Services Teams Need Continuous Compliance Evidence

Financial services regulators increasingly expect organizations to demonstrate that controls operate continuously, not just on audit day. Yet many firms still rely on point-in-time reviews and manually assembled evidence, creating compliance gaps, operational overhead, and unnecessary risk exposure. Continuous configuration enforcement helps address both the regulatory and operational challenge by generating evidence as changes occur. Back to top.

Automate Your Entire Incident Response with Skylar Automation

See how Skylar Automation transforms incident response by orchestrating workflows across the tools your teams already use. In this demo, watch Skylar Automation respond to a critical service degradation by automatically creating a ServiceNow incident, paging the on-call engineer in PagerDuty, notifying the Microsoft Teams operations channel, and keeping updates synchronized across platforms. With Skylar Automation, teams can.

How Smarter Patch Management Strengthens IT Operational Resilience

Operational resilience depends on an organization's ability to maintain essential systems when disruptions occur. Cyberattacks, software failures, and configuration problems can all threaten that stability. Yet one of the most preventable sources of risk is also one of the most persistent: outdated software. Patch management is often treated as routine maintenance. In practice, it supports both cybersecurity and service continuity. A well-structured patching process reduces exposure to known vulnerabilities while helping IT teams keep applications and operating systems reliable.

AI Agents Need Guardrails: Building Autonomous IT with Resolve Agent Lab | Agents of IT

AI agents are moving fast. For enterprises, the bigger question is how to make them useful, trusted, and safe enough to take action. In this episode of Agents of IT, Zach Austin and Ian Coppock unpack what it takes to move from experimenting with AI to operationalizing agentic AI across the enterprise. They explore why organizations are racing to deploy AI before defining the problems they want to solve, why governance and scoped responsibilities are critical, and why the real value of AI comes from fixing and orchestrating the workflows underneath it.

Tools and Technologies For Tier 1 Incident Response Automation in 2026

Tier 1 incident response is where an analyst checks whether the alert is real and gathers context on the entities involved. The alert is then closed or escalated with a ticket. The work is repetitive, it never stops, and it grows with alert volume.

Why Businesses Invest In Automated Returnable Asset Tracking

Businesses invest in automated returnable asset tracking because manual methods simply cannot keep up with the volume of pallets, crates, kegs, and containers moving through a modern supply chain every day. Automated systems attach a sensor, tag, or code to each container so it reports its own location and status instead of requiring someone to search for it, count it, or chase it down by phone. That shift reduces financial losses from missing equipment, frees up staff who would otherwise spend hours locating containers, and gives finance and operations teams a reliable way to track returnable assets across all their sites.

AI Agent Builder: Create Agents That Fit Your IT Environment

AI agents are quickly becoming part of the enterprise automation conversation because, among other things, they help teams move faster. But there is a major difference between an AI agent that sounds useful in a demo and an AI agent that is ready for production. Production agents need scope. They need to know what they own, which systems they can touch, which workflows they can run, which teams they support, and where the boundaries are.