In our previous article we looked at the basics of: In this article, we are going to take a deeper dive into some of the complexities of configuration as well as some of the nuances of analysing Claude telemetry. Before we dive into the code, let us just remind ourselves that our telemetry pipeline looks like this: That is, we are emitting Claude Code telemetry to an OpenTelemetry Collector. The telemetry is then exported to an Application Insights endpoint and stored in Log Analytics tables.
Every year, MSP Summit unites some of the brightest minds in managed services. From tackling complex migrations that should have been straightforward to managing thousands of unique client environments, MSPs excel at adapting and rising to challenges, even as industry trends evolve. Even as industry trends evolve, though, one theme consistently comes up year after year: documentation.
Discover how Motadata ServiceOps unifies IT service management, IT asset management, and patch management in a single ITIL-aligned platform. Powered by AI, it helps automate workflows, streamline ticket resolution, and improve service delivery. One platform for service, assets, and everything in between.
Dataspaces and Datasets | The Structured Data Layer for Teams and AI | Coralogix Dataspaces and Datasets from Coralogix: the structured data layer teams and AI were waiting for. Turn a single query into a reusable dataset, share it across teams, and keep dashboards fast as your data scales. In this video: Timestamps: Dataspaces and Datasets are available now in Coralogix. Whether you're building dashboards, running background queries, or powering AI agents with telemetry data, Dataspaces give your organization a governed, high-performance data architecture that scales with your teams.
The Grafana AI team (Engineers Ivana Huckova and Sonia Aguilar) share what's new in AI Observability this week: a new way to instrument and visualize agent workflows, plus a neat trick for jumping straight from a metric spike to the exact conversation that caused it using Prometheus exemplars. In this episode: We're showing parts of our team meetings to build in public in some small way and give you a sneak preview of what's to come. But not all features we show may make it to production! You've been warned. :)
Ever wonder why robots look like us but can’t do basic chores? Discover how ignoring function over form could be holding back true innovation in robotics!
CI/CD pipelines do four things: it builds code, runs tests against mocked dependencies, lints for style violations, and scans for known vulnerability patterns. What it cannot do is validate how that code behaves under real users, real service responses, and real runtime constraints that staging was never configured to reproduce. That entire class of failure clears every gate cleanly and surfaces only in production.
Today I'm sharing some big news. IsDown is joining UptimeRobot When I started IsDown, the idea was simple. Keeping track of outages across dozens of vendor status pages was painful, and I wanted to make it easy to see, in one place, when the services you depend on go down. Thousands of teams now rely on IsDown to do exactly that. Joining UptimeRobot is the natural next step.