Operations | Monitoring | ITSM | DevOps | Cloud

Before you start, paste this into Claude Code, Cursor, Codex, Gemini CLI, Kiro, or any assistant that can read a URL and run commands: The install-speedscale skill installs proxymock for your operating system and walks you through proxymock init. It stops when you need to complete browser sign-in, keeps your recordings on your machine, and connects the proxymock MCP server so your assistant can run the prompts later in this article.

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.

CI/CD security best practices for 2026: secrets management, scoped access, dependency scanning, signed artifacts, and audit logging in one checklist.

Compare the best AI security solutions in 2026: LLM security, model monitoring, and AI-powered SOC tools, plus buying criteria and vendor questions.

AI has solved writing code fast. The new bottleneck is trusting what actually reaches production. Here's what that requires. Based on the DevOps.com webinar "AI Writes Code Fast. Can You Trust What Gets Deployed?" presented by Harness, August 12, 2026. AI has removed the bottleneck in writing software. Code that used to take days now takes minutes. But speed of creation and trustworthiness of what reaches production are two very different things.