Operations | Monitoring | ITSM | DevOps | Cloud

Summarize with ChatGPT Claude The Hyperping MCP server now has 49 tools: 28 that read and 21 that write. An agent connected from Claude Code, Cursor, Codex or another MCP client could already manage monitors, publish a status page incident and schedule maintenance. It can now do most of the rest: declare an incident and page on-call, acknowledge and escalate it, correct what was posted on the status page, create and configure status pages, and reschedule, end or cancel maintenance.

Autonomous IT operations use AI, operational data, observability, and automation to enable IT environments to detect issues, understand their context, determine the appropriate response, and act with minimal human intervention. As businesses grow, IT environments rarely stay simple. More employees, endpoints, applications, and cloud services generate even more alerts, incidents, and operational work. The traditional model scales linearly: more environment means more manual effort.

AI database governance can get overlooked when teams rush to connect AI tools to production data. IBM’s 2025 research found that 97% of organizations that reported a breach involving an AI model or application lacked proper AI access controls. The risk is easy to see. Give an AI agent too much access and it can expose or alter data in seconds. Feed it poor-quality data and it may produce a confident but incorrect answer.

A practical session on SCOM Reporting and reporting alternatives.

One of the questions MSP owners ask most often isn’t about tools or tech. It’s about pricing. Not just what to charge, but something closer to, “Is the way I’m charging actually built to support where I want this business to go?” We’re going to dig into why pricing models matter just as much as service delivery, how the most common approaches help or hurt as MSPs scale, and what to look at when margins feel tighter than they should.

Every MSP hits a point where the business is growing, the work is technically getting done, and it still somehow feels worse than it did a year ago. Tickets slip through. Two techs touch the same escalation, and neither one closes it. Your best engineer is doing a password reset at 4:45 on a Friday because nobody else picked it up.

Your Internet link averages 40% utilization, yet users still complain that calls drop and SaaS apps crawl every morning at 9:00. Averages are where bandwidth problems hide. A five-minute polling interval can smooth a 30-second saturation spike into a flat, healthy-looking line. A total-usage graph also won't tell you whether the traffic is a backup job, a compromised endpoint, or an ISP delivering less than you're paying for.