Operations | Monitoring | ITSM | DevOps | Cloud

OpenTelemetry instrumentation used to mean hours of manual work, wiring up metrics service by service. Now you can just ask for it. Tell an AI agent what you're trying to observe, something like "add OpenTelemetry so I can track this application's performance," and it turns that into an intent specification, then enriches your existing code with instrumentation to match. OpenTelemetry is open source and on GitHub. Pairing it with an AI agent that actually understands your codebase is what turns "add some metrics" into instrumentation that's useful.

Taylor Mattison explains how SigNoz MCP helped surface wasted work inside MSI's sales-order workflow. Warning checks were firing on user actions that had nothing to do with any warning they could raise. By comparing telemetry across the workflow, Taylor could point to unnecessary operations that were wasting API calls, database time, and server capacity. This clip is part of our MSI customer story on using SigNoz MCP with Claude to debug slow sales orders across the stack.

Tracing does a lot more than help you monitor performance. It's what ties errors, logs, and session replay together in Sentry, so you, and your agents actually know what happened. It's included in every Sentry plan.

In this episode of the Grafana OTel Community Call, we're exploring OpenTelemetry eBPF Instrumentation (OBI). OpenTelemetry eBPF Instrumentation (OBI) offers a powerful way to instrument applications at the system kernel level, capturing essential “RED metrics” — request rate, error rate, and duration — and network flows without requiring code changes, rebuilds, or redeployments. We will cover the project's architecture, discuss its origins as Grafana Beyla, and look ahead to the roadmap for language and runtime coverage.

In this episode, we explore how to build a modern Kubernetes observability stack using open-source technologies such as VictoriaMetrics, OpenTelemetry, Grafana. Based on a step by step workshop we gave at Cloud Native Days Romania in May, Jose is walking us through it with practical examples. Playlist Resources for Further Learning.

Netdata started as a lightweight agent you install across your systems to collect and visualize metrics in real time. In this clip, we walk through how that model evolved as OpenTelemetry became the industry standard, and why logs pushed that evolution even further.

In this video, we use Claude MCP to create and merge Docker container dashboards in Uptrace — directly from the terminal, no manual clicking required. What you'll see: CPU, memory, network, and disk I/O dashboards created with plain text prompts Two dashboards merged into one unified view Dashboard exported as YAML for version control.

Learn how to implement end to end monitoring and observability for Langflow using OpenTelemetry and SigNoz. In this video, we walk through instrumenting Langflow workflows, collecting traces, metrics, and logs, and visualizing everything in SigNoz to gain real time visibility into flow execution, LLM requests, tool calls, token usage, latency, failures, and performance bottlenecks. Langflow ships with built in OpenTelemetry support, making it easy to export telemetry to SigNoz with minimal configuration.