Operations | Monitoring | ITSM | DevOps | Cloud

A decision-making framework breaking down the strengths, weaknesses and ideal use cases to help users choose the proper protocol for their systems. Initially published in The New Stack We often think of protocol choice as a purely technical decision, but it's a critical factor in the user experience and how your application is consumed. This is a high-impact business decision, making it crucial for the technical team to first understand the business situation and priorities.

The evolving digital technologies and artificial intelligence (AI) fundamentally reshape business dynamics. Analyzing the growth and impact of running online businesses, several organizations from different industries started adapting this modern approach to create revenue streams and enhance their customer experience. On one end, it turned out to be a brilliant strategy; on the other, managing the complex business data and systems was a big challenge.

We're excited to announce a major enhancement to our Maven repository support at Cloudsmith. As a Java developer, you can now upload and distribute arbitrary files using Maven repositories, unlocking more flexible and powerful workflows for your projects. Arbitrary files are files that are ignored by Maven unless explicitly included in the Project Object Model (POM) / pom.xml configuration.

We’re all looking for ways to improve on our incident response. We investigate various metrics and methodologies—all in the name of making sure our customers see the reliable and performant systems we’ve sought to build. In fact, all these efforts are leading us, as an industry, to finally realize the power of surprising anomalous events in our systems. They give us an opportunity to reexamine our expectations and see how our models of the sociotechnical system differs from reality.

Agentic AI - the term has stirred much interest since being mentioned for the first time. And why not? The business world is still basking in the comfort, ease, and speed GenAI has brought since its democratization. Agentic AI promises to propel this leap in growth further. It promises more time freed up for strategic work, for finding new avenues of development, and a complete freedom from mundane work.

Not long ago, AI was largely experimental, but today it’s a strategic imperative. Enterprise AI adoption has surged to record levels, with over three-quarters of organizations now using AI in at least one function . In Deloitte’s latest global study, almost all organizations reported measurable ROI from AI, and 74% said their most advanced AI initiatives meet or exceed ROI expectations .

Seems like you can’t throw a rock without hitting an announcement about a Model Context Protocol server release from your favorite application or developer tool. While I could just write a couple hundred words about the Honeycomb MCP server, I’d rather walk you through the experience of building it, some of the challenges and successes we’ve seen while building and using it, and talk through what’s next. It should be pretty exciting, so strap in!

Switching from one network management system (NMS) to another is a big decision for IT teams and MSP businesses. An NMS is the central hub for everything from network troubleshooting deep dives to planning hardware refresh cycles and enabling quarterly business reviews (QBRs). And even if a different platform is clearly a better fit for your organization than your current NMS, it’s important to consider the operational overhead of actually making the switch.

Traditional monitoring approaches have served IT operations for decades, providing basic visibility into system health through predefined metrics and thresholds. However, these conventional methods face significant limitations when confronted with modern, complex environments: Static Thresholds and Rules Traditional monitoring relies heavily on manually defined thresholds and rules.

Cloud adoption has reached a tipping point — 98% of U.S. organizations have already migrated at least some business operations to the cloud. Global cloud spending is projected to reach $1.3 trillion by 2025 as companies rapidly embrace off-premise solutions, with 63% of IT decision-makers reporting accelerated cloud migration plans over the past 12 months.