Auto-Instrumentation

auto instrumenting kubernetes workloads with opentelemetry for kloudmate auto instrumentation in kubernetes simplifies the process of collecting telemetry data from your containerized applications— without modifying application code this is especially valuable when you're managing microservices at scale or dealing with third party workloads kloudmate leverages opentelemetry’s auto instrumentation capabilities to automatically capture distributed traces, metrics, and logs from your kubernetes workloads by deploying opentelemetry agents and collectors within your cluster, telemetry data is automatically gathered and forwarded to kloudmate for real time observability supported languages kubernetes auto instrumentation with opentelemetry currently supports the following runtimes python https //docs kloudmate com/python instrumentation running on kubernetes go https //docs kloudmate com/go instrumentation running on kubernetes node js https //docs kloudmate com/nodejs instrumentation running on kubernetes java https //docs kloudmate com/java instrumentation running on kubernetes net https //docs kloudmate com/net instrumentation running on kubernetes this guide walks you through the steps to configure kubernetes auto instrumentation using opentelemetry and send that data to kloudmate for full stack observability