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Mitmproxy vs Proxymock: Replaying Traffic for Realistic API Testing

Replaying traffic is a core tool in your toolbox when you need to reproduce a tricky bug or validate how your app behaves. Traffic replay is especially valuable for testing complex software applications that rely on APIs and microservices, where integration and functionality must be thoroughly validated.

AI Agent for Incident Resolution: Combining Intelligence with Autonomous Actions

Incident management is a high-stakes function. IT operations teams and SRE teams may play different roles, but when a priority incident surfaces, it is often all-hands-on-deck to ensure it is resolved in minimal time. That’s because of the high impact of incidents-if not resolved in time, they can cascade and impact other IT systems, leading to downtime, business disruptions, monetary losses, and impacting brand value, compliance, and regulatory rules.

Why Every Developer Needs Their Own AI Knowledge Base (It's Easier Than You Think)

Ever feel like you're drowning in documentation scattered across Confluence, Slack, Jira, and Git commits? Kyle Fransham, Senior VP of R&D at Superna, shares why every developer should run their own local LLM and shows you exactly how to do it. In this GitKon talk, Kyle reveals how to turn your personal "master document of knowledge" into a queryable AI assistant running directly on your laptop. No cloud dependencies, no organization bottlenecks...just your own development copilot that understands your unique workflows, tips, and tribal knowledge.

Bridging partners in pursuit of agentic AI - Part 2: How leaders can position themselves for the future

From ecosystem foundations to future advantage In Part 1: Why partnerships matter for enterprise intelligence, we explored how enterprises are moving from experimentation to scalable impact with agentic AI and how ecosystems make that possible. But naturally, the next question is: Where do we go from here?

The Agentic Enterprise Needs a Nervous System

Over the weekend, when Salesforce introduced the concept of the Agentic Enterprise, it wasn’t defining a new market trend. It was signaling an inflection point. A moment when the conversation about artificial intelligence stopped being about tools and started being about trust. For the first time in decades, enterprise software isn’t simply enabling decisions. It’s making them. Systems are reasoning, choosing, and acting in real time across sprawling digital ecosystems.

How WWT Proves the Value of Agentic AIOps with LogicMonitor's Edwin AI

Agentic AI has entered day-to-day operations. Systems with the ability to act, learn, and adjust are already cutting noise, speeding remediation, and giving engineers time back for work that moves the business. In a recent webinar, Karthik SJ, General Manager, AI at LogicMonitor, and Mike Cervasio, Global Practice Manager, AIOps at World Wide Technology, explored what makes this new phase of AIOps actionable.