Operations | Monitoring | ITSM | DevOps | Cloud

In API testing, speed, accuracy, and confidence in test results are everything. Regardless of whether you’re validating functionality, testing performance under load, or ensuring compliance with your security posture and standards, the ultimate goal is the same: catching problems before they reach production. But what if your tests are lying to you? Lurking beneath even the most sophisticated test suites is a subtle, pervasive threat: data coupling.

As enterprises scale in complexity, the infrastructure landscape is no longer just cloud or on-premises, it’s both. Hybrid is the new normal and it’s here to stay. And with that shift comes a new demand: a unified, scalable observability solution that works across the entire tech stack, from legacy hardware to cloud-native workloads. That’s where LogicMonitor comes in.

There’s a certain comfort in the glow of your network operations center (NOC) dashboards. For some time, the sign of a well-run NOC was that sprawling bank of screens, each dedicated to a different domain. One for the WAN, showing link status. Another for the data center, tracking backbone health. A third for cloud consumption, pulling metrics from your provider. Each screen is a neatly bordered kingdom, diligently monitored by its own set of tools. As long as the lights are green, all is well.

Agentic AI is making waves across various industries, and its potential to transform ITSM is undeniable. With all the talk about agentic AI capabilities, you are probably daydreaming about streamlining ITSM processes through automated incident management, automated change risk analysis, improved efficiency through service desk automation, or enhanced service quality with predictive maintenance. But you also may start to wonder: How real is all of this? Is my organization truly ready for agentic AI?

I’m pleased to announce the public beta of Honeycomb Hosted MCP, along with our first wave of one-click integrations for Cursor, Visual Studio Code, and Claude Desktop. We’re also very excited to announce that Hosted MCP is available on AWS AI Agents marketplace and for all Honeycomb plans (including our free plan!) at no charge. Honeycomb was built with a singular focus: how do we help teams become better at the art and craft of software development, delivery, and operations?

Manual log investigation is one of those engineering tasks that quietly drains hours without offering much real value. You're debugging an incident. Monitoring shows elevated error rates. Now begins the familiar drill: It’s a tedious cycle, and it doesn’t scale. The whole process breaks down when you’re trying to automate incident response, run continuous security monitoring, or generate compliance reports.

Kong Gateway is a popular API gateway that sits at the edge of your infrastructure, routing and shaping traffic across microservices. It’s fast, pluggable, and battle-tested, but for many teams, it remains a black box. You might have OpenTelemetry set up across your application stack. Traces flow from your app servers, databases, and third-party APIs. But the moment a request enters through Kong, observability drops off.