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Instrumenting applications to capture observability requires technical effort and cultural changes, especially when dealing with polyglot architectures. Each application language technology brings different instrumentation strategies and best practices: Some programming languages support instrumentation agents, like Java and .NET; some have auto-instrumentation libraries, such as Python and Ruby; while others can only be instrumented with manual instrumentation, like Rust. In this Grafana 2024 talk, Mario Macias demos Grafana Beyla, our state-of-the-art answer to instrumentation with eBPF. You’ll learn how to get fully distributed traces and RED metrics on a Kubernetes cluster with applications written in various languages, using a multitude of application protocols (HTTP, gRPC, SQL), all with a single Grafana Beyla instance deployed as Kubernetes DaemonSet. Chapters: 0:00 Introduction 0:42 What is auto-instrumentation? 3:13 Beyla native eBPF auto-instrumentation 4:47 Application instrumentation: metrics 8:12 Beyla demo 14:15 Future plans of Beyla Helpful links: 📖 Learn more about Grafana Beyla: https://grafana.com/oss/beyla-ebpf/?s... ☁️ Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more. We also have plans for every use case. Sign up: https://grafana.com/get/?src=yt&mdm=s... ❓ Have a question that isn't related to this video? Check out the Official Grafana Community Forums and ask your question or find your answer: https://community.grafana.com/?src=yt... ----- 👍 If you found this video useful, be sure to give it a thumbs up and subscribe to our channel for more helpful Grafana videos. 📱 Follow us for the latest and greatest on all things Grafana and our other OSS projects. X: / grafana LinkedIn: / mycompany Facebook: / grafana #Grafana #Observability #eBPF #Kubernetes