Operations | Monitoring | ITSM | DevOps | Cloud

I let Claude investigate a production incident with Honeybadger's MCP server

Feb 24, 2026 By Honeybadger In Honeybadger
In this demo, Kevin shows how you can use Honeybadger's MCP server with Claude to investigate a production incident — going from a natural language prompt to a complete incident dashboard in minutes. Honeybadger is an application health monitoring platform that helps developers catch errors, track performance, and stay on top of incidents. The MCP server lets AI assistants like Claude query your Honeybadger data directly, so you can investigate issues conversationally without digging through dashboards manually.
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Technology Trends in the Mortgage Industry

Technology Trends in the Mortgage Industry

Feb 24, 2026 By OpsMatters In OpsMatters
The mortgage industry is changing rapidly due to technology. Many people still see homeownership as a key goal, and new tools are making it easier to go from application to closing. This tech advancement is simplifying the process and helping both consumers and businesses have a more seamless experience.
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Top 10 ChatGPT SEO Agencies for 2026 (Manually Reviewed)

Top 10 ChatGPT SEO Agencies for 2026 (Manually Reviewed)

Feb 24, 2026 By OpsMatters In OpsMatters
A funny shift has appeared in our conversations with marketing leaders over the last year. Teams still ask for SEO help. But more often, the question is: "Who can help us appear inside ChatGPT answers, and can they prove it without hand-waving?" People research inside ChatGPT, Perplexity, Gemini, and AI Overviews, then click only when they trust the source. If your brand is not cited, clearly understood as the right entity, and consistent across your site and the wider web, even strong pages can stay invisible when buyers are deciding.
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Why Nexthink Intelligence Is a Game-Changer for IT Teams

Feb 23, 2026 By Nexthink In Nexthink
Nexthink Intelligence transforms digital employee experience (DEX) for modern enterprises. Learn how IT teams can leverage real-time analytics, proactive insights, and automation to improve user productivity, troubleshoot issues fast, and deliver better workplace tech experiences. Learn more at nexthink.com.
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coralogix

A 4-Month Bug Fixed in <10 Minutes with Olly

Feb 23, 2026 By Chris Cooney In Coralogix
In today’s highly interconnected systems, the subtle relationships between services are rarely obvious. Modern, complex architectures generate telemetry that functions less as “flashing signs” and more as faint “breadcrumbs” to be followed across a vast network of signals. In 2025, about two-thirds of outages involved third-party systems like cloud platforms and APIs.
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coralogix

The limits of MCP and how Olly surpasses them

Feb 23, 2026 By Chris Cooney In Coralogix
Model Context Protocol (MCP) servers act as adapter layers between clients and AI based workloads. MCP installation into an IDE, such as Cursor, brings a wealth of information directly into the developers primary tool, minimizing context switching and, especially in the world of observability, bringing telemetry closer to the code. MCP is not without its limits. These limits initially seem trivial, but in time, some of the inherent limitations to a basic MCP implementation become apparent.
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Komodor

When AI Writes the Code, Who Keeps Production Running?

Feb 23, 2026 By Ilan Adler In Komodor
The production environment has become a minefield of code nobody really understands. Here’s what’s happening: Development teams are using Claude Code, Cursor, and GitHub Copilot to ship features at 10x their previous velocity. Product managers are ecstatic. Business stakeholders are thrilled. And somewhere in a war room at 2:17 AM, an SRE is staring at a stack trace for code that was AI-generated three weeks ago, trying to figure out why the payment service just fell over.
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datadog

Evaluating our AI Guard application to improve quality and control cost

Feb 23, 2026 By Santiago Mola In Datadog
This article is part of our series on how Datadog’s engineering teams use LLM Observability to build, monitor, and improve AI-powered systems. Organizations are building AI agents that help users automate work, analyze data, and interact with complex systems through natural language. As these agents become more capable, they also become more complex and exposed to risks such as prompt injection, data leaks, and unsafe code execution.
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harness

From Chef to Chief Architect: Navigating the Intersection of AI and Data Security | Harness Blog

Feb 23, 2026 By Dewan Ahmed In Harness
In the world of enterprise software, the transition from traditional DevOps to modern AI-driven delivery is less like a flip of a switch and more like a high-stakes kitchen. As Devan Shah, Chief Architect at IBM, puts it: the ingredients have changed from food to code, but the need for a precise, governed process remains the same.
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