Operations | Monitoring | ITSM | DevOps | Cloud

The Human-Centric Stack: Why Logs Are the Great Equalizer in the Age of AI

In 2026, we are seeing incredible feats of engineering with agentic AI, impacting metrics and distributed traces that map thousands of microservices. Our systems have never been more intelligent and complex. However, as our observability becomes more intelligent, fewer employees know how to manage and troubleshoot complex systems. These employees, who often bear the brunt of an error’s impact, may need to rely on specialists to interpret the system.

The E-Commerce Critical Path Checklist

It’s your site’s huge, annual sale weekend, and your online store’s checkout process went down for 10 minutes. At your conversion rate, that’s $10,000 in lost sales. Thankfully, it came back up after only 10 minutes, but the real issue is that you only found out from customer complaints on social media. You spent months on email marketing and other campaigns driving traffic to this sale, and now those efforts are turning into customer frustration instead of revenue.

Agentic AI Essentials: The Dashboard and Changing IT Roles

Dashboards provide a useful prism through which we can study the broader evolution of the IT professional’s role in the era of agentic AI. For years, dashboards have been the centerpiece of IT work, serving as the interface where teams interpret system behavior, diagnose issues, and plan actions. Dashboards epitomize the relationship between humans and their systems: humans observe, interpret, and act. As agentic AI enters the picture, that relationship begins to change. Let’s explore how.

Are We Letting AI Think for Us? | SolarWinds TechPod #105

We’re more dependent on technology than ever—and AI is changing how we make decisions. But what happens when the systems fail? Or when bad actors decide to “pull the plug”? This clip dives into a scary but necessary question: Are we losing our ability to critically think and problem-solve by relying too much on AI? Is AI leveling the playing field—or quietly taking over human decision-making? A must-watch conversation about innovation, outages, AI risk, and why having a backup plan matters more than ever.

How to Create an SNMP Poller in SolarWinds Observability Self-Hosted

SolarWinds technical trainer Cheryl Nomanson presents a systematic approach to optimizing and building custom SNMP pollers. The tutorial walks through a step-by-step process starting with adding devices for SNMP monitoring using default pollers, then identifying missing metrics and checking if the required OIDs exist. If OIDs don't exist, she explains how to use alternative OIDs or data transformation tools.

How Alerting Works in SolarWinds Observability Self-Hosted

This training video from SolarWinds Academy provides a high-level overview of how the alerting process works within SolarWinds software. Technical trainer Cheryl Nomanson explains the step-by-step workflow, starting with the alerting engine continuously scanning the database for conditions that meet alert trigger thresholds. She covers how triggered elements are evaluated for suppressions (like time-of-day restrictions and scoping), and explains that only fully qualified conditions become actual alerts. The video details how alerts always display in the web console and may trigger additional actions like emails or scripts.

AI Is WAY More Expensive Than You Think... | SolarWinds TechPod #105

Artificial intelligence isn’t just about innovation and efficiency — it comes with hidden costs. From massive data centers and rising energy consumption to layoffs, governance, and long-term business impact, the real price of AI is often ignored. Companies rush to adopt AI, but are they calculating the true cost for the environment and their bottom line?

Agentic AI Essentials: Adoption Pitfalls and How to Avoid Them

In the last article in this series, we explored how IT professionals and leaders can cut through the hype surrounding agentic AI and gain a deeper understanding of what the technology actually offers. Now, we turn to the practical side: how to integrate it effectively. Let’s explore the challenges and outline strategies that organizations of all sizes can use to adopt agentic AI with confidence.