Operations | Monitoring | ITSM | DevOps | Cloud

The Technology Behind the Rapid Growth of On-Demand Home Services

A leaking pipe may look like a simple booking problem. For the platform receiving the request, it is a live decision problem involving diagnosis, skills, distance, time, price, identity, risk, and incomplete information. The rapid growth of on-demand home services did not come from placing a calendar inside an app. It came from making field work machine-readable enough to classify, optimize, monitor, and improve.

Build and Launch AI Agents from Your Splunk Workflows

Introducing the Splunk Agent Launchpad! Let’s face it—your team is busy. Between managing alerts, digging through investigations, and constant context-switching, it’s hard to stay ahead of the noise. What if you could turn your existing operational knowledge into custom AI agents that do the heavy lifting for you? And the best part? No coding required. Watch this exclusive look at the Splunk Agent Launchpad. We’re showing you how to build, deploy, and manage AI agents that help you investigate, enrich, summarize, and act—all without leaving the Splunk environment you already know and trust.

Argo CD Deployment Failed: AI SRE Agent AURA Finds and Fixes It

A deployment fails validation and the sync stops. Argo CD hands the report to AURA, which finds the wrong version, fixes it, and re-runs the sync. Normally, a failed sync means a person opens the application, reads the hook logs, and works out which value is wrong. Here, the sync fail hook sends AURA a short failure report and an incident ID over the agent-to-agent protocol, then exits. It does not say how to investigate or what to change.

How to build the business case for AI

A strong AI business case ties a specific goal to a measured outcome and a fully-loaded cost. Most fail because they skip one of the three: no clear mandate, an over-broad "AI fixes everything" scope, or a cost estimate that ignores adaptation and error-correction. Build it in six steps: define goals, identify uses, break work into tasks, evaluate models, assess total cost, then launch and refine. Most companies are now spending on AI. Far fewer can show what they got back.

How to right-size your existing Claude skills

You shipped a skill. It worked. You closed the tab. That’s the whole problem. Model choice is a decision you make once, at the moment you’re least equipped to make it: before the skill is even authored. Then you never revisit it, because the skill stopped being interesting the day you got it working. So go back and check. Here’s how.

AI Is Outpacing Code Review. Here's How to Catch Up (Without Slowing Down)

In a 2025 analysis spanning over 100 large language models, Veracode found that nearly half (45%) of AI-generated code causes known security issues and vulnerabilities. Novel risks are being introduced into your operations systems faster than humans can manage or review. At the same time, studies suggest that human review isn’t all that effective, especially beyond 400 lines of code. But AI-generated code isn’t inherently bad. It just doesn’t always work across your whole system.

August 2026 product update: hosted MCP and more

Your MCP client doesn’t need your whole API key just to look up an error anymore. Honeybadger's hosted MCP server now supports OAuth. You can approve it through your browser, scope your permissions, revoke your permissions, and rest easy knowing that our tokens auto-refresh and don’t sit around in a config. Keep reading to see how it works and get a quick recap of everything else that shipped this cycle.

The Architecture Question That Never Dies: From BPMN and M&A to MCP

Twenty years ago at RMIT, I became preoccupied with a question that sounded technical but was really about corporate value: could you predict how difficult a company would be to acquire by looking at the shape of its APIs? It was 2006. I was completing Honours in a Bachelor of Applied Science in Software Engineering, and the brief for my research project was unusually open: find an impactful software research hypothesis that hasn’t been done before.