This requires making code changes to dozens of files and isn’t maintainable. The same goes for server-side net/http, which also requires adding code to every HTTP handler, as can be seen here. It shows the number of configurations you need to instrument a simple HTTP call.Ĭlient := http.ClientĪs you can see, it requires you to make changes to every HTTP call in order to configure the client’s transport and to instrument the native net/http module. For example, the below code snippet is from the OpenTelemetry-Go GitHub repository. However, real-world scenarios will require more configuration than the above. Span.SetAttributes(trace.StringAttribute(“key”, “value”)) You can use the AddEvent() function to record log events, and the SetAttributes() function to add span attributes. Then, add attributes and events to the span. Step 3 – Add attributes and events to the span Next, import the OTel Go library and use the otel.Tracer() function to create a tracer and the Start() function to start a new trace span: Go get go.opentelemetry.io/otel Step 2 – Import OpenTelemtry Go library Let’s look at the classical way of integrating OTel distributed tracing with Go Golang tracing – Step 1įirst, install the OTel Go library using the below command: However, Go’s strong typing and compiling into machine code makes it difficult to perform the instrumentation dynamically making runtime changes to compiled machine code is risky and it may be considered a security problem. For languages like Java with intermediate language, it’s possible to manipulate the bytecode using the Java Agent mechanism to support instrumentation. Python or Node.js), we can replace the implementation of a function at runtime using techniques like monkey patching. Golang distributed tracing based on OpenTelemetry is specifically challenging. This article is brought by Helios – allowing developers to install OTel-based tracing with visualization and change the way they observe, debug and test microservices in less than 5 minutes. In this article, you will learn about the challenges of OpenTelemetry Golang, installing OTel Go, and how a new approach for compile-time auto-instrumentation makes the process of adding traces to Golang apps much easier with much less friction. However, integrating OTel with Golang is particularly challenging due to several reasons. It is gaining popularity as it allows solving observability and troubleshooting challenges in microservices environments through distributed tracing. Logs are text messages that your application generates, such as error messages and informational messages. Traces are records of how your application’s requests are handled, including which services are called and how long each call takes. Metrics are measurements of your application’s performance, such as CPU usage, memory usage, and response time. In short, it lets you collect, export, and analyze telemetry data from your applications and services, including metrics, traces, and logs. ![]() It supports all major programming languages, including Java, Python, Node.js, and Go. OpenTelemetry (OTel in short) is an open-source observability framework that provides a standard set of vendor-agonistic SDKs, APIs, and tools to connect with observability backends.
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