Operations | Monitoring | ITSM | DevOps | Cloud

Why AI Governance Is Now the Biggest Challenge for Enterprise AI

For the past couple of years, most conversations about AI in business have centered on adoption. Which tools should organizations deploy? Where can AI improve productivity? How quickly can it deliver value? Those questions still matter, but they are no longer the most difficult ones to answer. AI is now appearing across business applications, employee workflows, development environments, and customer-facing services.

The Near-Term Wins in AI for NetOps Rest on the Same Foundation

Walk into a network operations center this year and the useful AI is not running the place. It is doing three specific jobs, and doing them well: cutting an alert storm down to the one incident that matters, pointing at the likely cause, and deciding what deserves a human’s attention first. That is where AI in NetOps pays for itself right now. The part worth noticing is that all three jobs lean on the same thing.

Power BI vs. SquaredUp: Which is right for IT teams?

At first glance, Power BI and SquaredUp both look like dashboarding tools. In practice, they solve different problems. SquaredUp serves engineering teams and IT teams, including SREs, DevOps engineers, engineering managers, and technology leaders. It connects to monitoring, cloud, DevOps, and ITSM platforms. This gives teams a real-time insights into service health, performance, and key metrics in one place. Power BI is Microsoft's business intelligence platform, designed for analysts and business teams.

Why Model Routing Backfires and How to Build Agents That Don't Burn Your Budget

Model routing promises to cut your AI agent spend by offloading routine tasks to cheaper models like Claude Haiku while reserving frontier models like Claude Sonnet for complex reasoning. In the right configuration, routing strategies can reduce inference costs by 40–85%. But if you implement routing incorrectly in a multi-turn agent, you can end up paying more than if you’d never routed at all. Here’s why and how to fix it.

Send DNS Spy Alerts to Your SIEM: Introducing Webhook Alerts

Enterprise teams can now add a Webhook alert channel that POSTs every DNS Spy alert — DNS record changes, domain outages, security check failures, WHOIS updates, phishing look-alike detections — to any HTTPS endpoint as structured JSON. Requests are optionally HMAC-signed, every delivery is logged and retried, and a Send Test button verifies your integration end to end.

Don't Trust the Diff: Making AI-Generated Code Reviewable And Maintainable

Coding agents changed implementation economics faster than they changed confidence. They let us produce more code, more quickly, but they did not make reviewers any better at understanding system-wide consequences. In our Kubernetes automation stack, that gap became impossible to ignore once AI started generating meaningful amounts of controller code.

InvGate Service Management Slack Integration: Support Without Leaving Slack

Most of your employees already spend their day in Slack. So when something breaks, when they need access to a tool, or when they just have a quick question for IT, the last thing they want to do is stop, switch context, open a portal, and fill out a form. That friction is exactly why so many issues never get logged, and why the ones that do often arrive late and half-described. The InvGate Service Management Slack integration closes that gap.

From 57 bugs to 1, thanks to Seer

I was at the dentist the other day, getting ready for my appointment. The waiting room was pompously decorated. Each chair seemed to be from a different, expensive Danish designer. As I realize I’m about to get charged through the nose, I get a notification from my beloved Mail app. ** ding ** Screenshot of GitHub email notification It’s a new Pull Request on GitHub. This one is different though. I have no idea where it came from!

Why Predictability Is the Most Valuable Upgrade Feature

When organizations evaluate a software upgrade, the conversation often begins with features, functionality, and innovation. Those considerations are important, but they are rarely the primary concern for the teams responsible for executing the upgrade. Operations leaders are typically focused on a more practical question: can the upgrade be completed successfully, within the planned maintenance window, with clear support paths, and without creating unnecessary disruption for the business?