![]() Library code checks if the SDK auto-configure module is in the classpath and in OpenTelemetry instance already created and registered. When the Kafka clients instrumentation library is used, it checks if there is an io.opentelemetry opentelemetry-sdk-extension-autoconfigure Run the producer application in the following way. This agent has to run alongside your application in order to inject the logicįor tracing messages sent and received to/from a Kafka cluster. The OpenTelemetry agent you can download from You also don’t need to addĪny dependencies to OpenTelemetry specific libraries. No changes or additions into your application code. The simpler and automatic approach is by adding tracing to your application with It means adding some specific dependencies to your projectĪnd make code changes. The latter is mostly a “manual” approach which is about instrumenting yourĪpplication directly. Intercept messages coming in and out and adds tracing information to them. The agent, running alongside the application, is able to The former is actually an “automatic” approach which is about not touching yourĪpplication at all. enabling the tracing directly on the Kafka clients used by your application.using an external agent running alongside your application to add tracing.In order to do so, there are two different ways: Trace how the messages are produced and consumed via the Kafka clients. You are interested to add tracing to the Kafka related parts only. In order to simplify the scenario, let’s also assume youĭon’t want to add any additional tracing information within your business logic. Let’s assume you have an application using the Kafka clients API for producingĪnd consuming messages. You can also find all the examples in this ![]() We will refer to the Javaīased instrumentation. Kafka based client applications in different ways. In this article, you will learn how it is possible to enable tracing on Apache Support, for adding tracing data by using the corresponding instrumentation The Strimzi project provides a bridge, with the OpenTelemetry Tracing how messages are produced and consumed via HTTP through Apache Kafka is Not able to connect directly to the Apache Kafka cluster and talking its ownĬustom protocol but using a different one, like for example HTTP. It also defines the specification of semantic conventionsīut usually, the architecture can even be more complicated: having applications Of course, there is one forĪpache Kafka clients. It provides multiple instrumentation libraries forĪdding tracing to messaging based applications. This is where OpenTelemetryĬomes into the picture. Within the overall picture, because of the distributed nature, it is quiteĭifficult to track how messages are moved around. Infrastructure, while you can focus on developing applications which use it. Kafka cluster on top of it, by using a project like ![]() In this scenario, you can also easily deploy and manage an Apache Quite often Kubernetes is also used to run the Taking into account the cloud-native approach for developing microservices, Other by using Apache Kafka as a messaging system but even more as en event or ![]() Nowadays, Apache Kafka is chosen as the nervous
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