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Engineering teams are shipping more AI-generated code than ever, but at what cost? Learn how to build a telemetry pipeline to monitor Claude Code usage and costs directly in SquaredUp. It is estimated that 85-90% of engineering teams are now using AI coding assistants such as Claude, Codex and Cursor. This is not just for small-scale pilot projects— around 40% of all code now being shipped is AI-generated, and in start-ups the figure is around 95%. This can result in incredible productivity gains.

MSPs operate in high-pressure, customer-first environments where understanding exactly what is happening across client environments is the difference between proactive service and constant firefighting. Yet, many still struggle to get a unified view across their customers, tools, and teams.

Prometheus is a wildly popular open source monitoring tool typically used for monitoring Kubernetes environments and containerized workloads. But how do you turn the mountains of metrics into a clear picture of health and performance? SquaredUp plugs directly into your Prometheus database to visualize and monitor your data. What sets SquaredUp apart from other Prometheus visualization options like Grafana and Perseus is just how easy it is to visualize, monitor and share Prometheus dashboards.

No matter how fast we build, we'll never integrate with every tool. There are too many, new ones appear constantly, and some are too niche to ever reach the top of our roadmap. So if the tool you care about isn't supported yet, your options have been to wait for us to get to it, or build it yourself with our Web API plugin — a powerful, flexible option, though one that asks you to map out the endpoints, authentication and paging yourself.

If you manage endpoints for a living, you'll know the problem isn't a lack of data. It's that there's too much of it, scattered across too many places. A modern IT team or MSP might be looking after thousands of devices spread across dozens of customer organizations, each generating a constant stream of alerts, patch results, antivirus events and disk warnings. NinjaOne does a great job of collecting all of that.

On May 12, 2026, Citrix officially announced Platform Flex, a new consumption-based model for the Citrix Platform. At first glance, it looks like yet another licensing change, something Citrix customers have become fairly used to over the years. But after digging through the documentation, Platform Flex appears to be more than just another packaging exercise. The real change is that Citrix is moving toward a credit-based desktop consumption model.

Data is almost always scattered across too many tools. Usually, if you want to see it all in one place, you're stuck building messy pipelines or paying for a warehouse you don't really want. SquaredUp is a window into all those tools. It lets you see what’s happening across your entire stack in real time without moving any of the data. Think of it as a universal translator that lets your tools talk to each other so you can stop the manual digging and just see the big picture.

Checkly is a modern reliability platform that combines testing, monitoring and observability in one place. Its integration with Playwright and languages such as TypeScript means that developers can write tests using tools they are familiar with and then run them in Checkly. Its Monitoring as Code philosophy also means that Checkly tests can be incorporated into CI/CD pipelines.

Zabbix is one of the most popular open source monitoring platforms in the world, with first class capabilities for monitoring networks and infrastructure at scale. It also boasts a rich ecosystem of adapters and plugins for collecting telemetry from thousands of device types.