Operations | Monitoring | ITSM | DevOps | Cloud

OnlineOrNot updates from June through August 2026

It's been a while since I last updated you on what's new in OnlineOrNot. For the most part, I've continued making it useful for software teams: there's now an MCP server, I've improved the terraform provider significantly, and there's a new TypeScript SDK. You can also (finally?) monitor DNS/TCP with it.

BigPanda Analytics: AI-driven insights and faster answers across all your ITOps data

See how BigPanda Analytics turns IT operations analytics into instant answers, no hand-built reports required. IT leaders are used to waiting on a report someone on the ops team had to hand build, and every follow-up question starts the cycle over again, while the business keeps moving. This demo shows how IT executives get direct access to IT operations analytics: prebuilt dashboards, AI-powered insights, and a natural language research tool that answers questions in real time.

Never Get Blindsided by a Ticket Again

A P1 ticket sits before anyone notices it's close to breaching. A config change goes out and three days later nobody can say for sure who signed off on it. The information exists somewhere — an email thread, a spreadsheet, someone's memory — but not on the ticket itself, which means by the time you go looking, it's already a bad conversation with a client or an audit finding waiting to happen. What you'll learn.

Megaport Advanced Services: From Network Design to Deployment

Network changes often stall after the design is done. See how Megaport Advanced Services helps teams move from planning to implementation and support. Ask a network team where their last big network change got stuck and you’ll rarely hear “we couldn’t work out the design.” The completed design is usually sitting in a document somewhere, reviewed and signed off. What stalls is everything needed after that. Somebody has to write the runbook. Somebody has to sit in the 2 a.m.

Best Monitoring Tools With MCP Servers for AI Coding Agents (2026)

Your AI coding agent can read your code, run your tests, and open a pull request. Until recently it could not see what that code does in production. MCP servers from monitoring vendors close that gap. Connect one, and Claude Code, Cursor, or Copilot can pull the error, the trace, and the slow query behind a bug report without you copying anything out of a dashboard. Most major monitoring vendors now offer an official MCP server. But they aren’t interchangeable. Some only expose errors.