Operations | Monitoring | ITSM | DevOps | Cloud

Cloud resilience often feels like an uphill battle. When you’re overseeing hundreds of applications across different providers, identifying potential failure points manually is nearly impossible. You’re left trying to find the needle in a haystack—a needle that could take down your entire application at any moment. To truly protect your uptime, you have to break the cycle of reactive troubleshooting.

New Nexthink Infinity innovations empower IT to govern AI, automate remediation, and troubleshoot digital workplace issues faster, enabling faster action, smoother experiences, and stronger business outcomes. The future of IT requires more than actioning tickets. Modern IT teams are expected to safely enable AI, modernize infrastructure, improve employee productivity, and drive business outcomes in increasingly complex environments.

For IT teams supporting VDI environments, the hardest part of a support ticket is rarely the fix itself – it's figuring out where the problem actually lives. And in most cases, first-level support engineers don’t have access to both the present and historic VDI-specific insights needed to triage the problem, so these VDI tickets are quickly escalated to the VDI team.

This is the third post in our DRIVE Deep Dive series. We've covered Delivery and Reliability so far; this post takes on Initiatives. For the complete model, download the full DRIVE framework.

Cardinality problems usually begin with a small change that looks harmless: you add a label, and suddenly one metric turns into thousands of unique series. Cardinality explosions are often caught only after performance degrades. And at that point, your observability stack may be degraded and painful to troubleshoot. vmestimator is a new project specifically designed to follow cardinality trends in real time and send you alerts before they turn into a real problem.

Europe is home to some of the world's most privacy-focused cloud storage providers, offering secure alternatives to services operated by large US technology companies. Whether you're looking to protect personal files, store sensitive business documents, or keep your data under European jurisdiction, choosing the right provider can make a significant difference to your online privacy and the security of your personal information.

AI agents are part of the modern development workflow. They write code, review pull requests, generate tests, call tools, interact with MCP servers, and help developers move faster. But behind every useful agent, there is something just as important as the model itself: the context that tells the agent how to behave. That context can include skills, prompts, instructions, hooks, commands, scripts, references, and MCP server definitions. In a small project, managing these primitives is pretty simple.