Operations | Monitoring | ITSM | DevOps | Cloud

sumologic

Claude Code is running bash commands on your infrastructure. Here's how to watch it.

Mar 19, 2026 By David Girvin In Sumo Logic
I’ve been staring at Claude Code telemetry for the past few weeks, and I keep noticing the same thing: most teams drop it into their environment, say “it’s amazing,” and have absolutely no idea what it’s actually doing at the system level. That’s fine for a personal dev tool. It’s not fine when you’ve rolled it out to 50 engineers.
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harness

Architecting MCP for AI Agents: Lessons from Our Redesign | Harness Blog

Mar 19, 2026 By Sunil Gattupalle In Harness
-- Key Takeaways: The Harness MCP server is an MCP-compatible interface that lets AI agents discover, query, and act on Harness resources across CI/CD, GitOps, Feature Flags, Cloud Cost Management, Security Testing, Resilience Testing, Internal Developer Portal, and more. -- The first wave of MCP servers followed a natural pattern: take every API endpoint, wrap it in a tool definition, and expose it to the LLM.
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lightrun

Claude Code + Lightrun MCP: Your AI Agent Now Has Live Runtime Vision

Mar 19, 2026 By Lightrun Team In Lightrun
Claude Code, Anthropic’s coding agent, now integrates with Lightrun through MCP. AI code assistants have been flying blind. Google Dora’ 2025 report found it is causing, an almost 10% increase in code instability. Even with up to 1M tokens of context available in Claude, this powerful agenti cannot see how the code it writes actually behaves inside a live system under real traffic, real dependencies, and under a load of 10,000 requests per second.
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tigera

AI Assistant for Calico: Troubleshooting at the Speed of Thought

Mar 19, 2026 By Veronika Smolik In Tigera
Despite the wealth of data available, distilling a coherent narrative from a Kubernetes cluster remains a challenge for modern infrastructure teams. Even with powerful visualization tools like the Policy Board, Service Graph, and specialized dashboards, users often find themselves spending significant time piecing together context across different screens.
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Flow State in an AI Workplace - Digital Friction 1:1 with Mike Lovewell

Mar 18, 2026 By Nexthink In Nexthink
Tom welcomes Mike Lovewell to explore how digital friction continues to shape the modern workplace. From early days of low awareness to today’s complex, AI-influenced environments, Mike shares how friction has evolved in scale rather than cause. They discuss the growing importance of flow state, the measurable business impact of small disruptions, and why adoption—not just technology—is the key to success. AI emerges as both a solution and a new source of friction, depending on trust and usability.
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bigpanda

How agentic AI for ITOps overcomes observability tool gaps

Mar 18, 2026 By Conor Castronovo In BigPanda
As enterprise ITOps teams monitor increasingly complex, cloud-based, containerized systems, traditional observability practices are struggling to keep up. As IT infrastructure complexity increases, the typical response is to layer on more monitoring, logging, and instrumentation.
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statuscake

Buy vs Build in the Age of AI (Part 3)

Mar 18, 2026 By James Barnes In StatusCake
In Part 1, we looked at how AI has reduced the cost of building monitoring tools. Then in Part 2, we explored the operational and economic burden of owning them. Now we need to talk about something deeper. Because the real shift isn’t just economic; it’s structural. AI isn’t just helping engineers write code faster. It’s accelerating the entire software ecosystem; including how monitoring tools are built, maintained, and trusted.
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harness

The Art of Prompting in AI Test Automation | Harness Blog

Mar 18, 2026 By Shibam Dhar In Harness
E2E Testing Has a New Bottleneck, and It's Not the Code End-to-end (E2E) testing has always been the hardest part of a QA strategy. You're simulating real users, navigating real flows, validating real outcomes across browsers, environments, and data states that never hold still. Traditional test automation tackled this with scripts: rigid, deterministic sequences tied to element selectors and hard-coded values. They worked until the UI changed. Or the data changed.
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