第 22 章 Introducing distributed tracing
Distributed tracing tracks the progress of transactions between applications in a distributed system. In a microservices architecture, tracing tracks the progress of transactions between services. Trace data is useful for monitoring application performance and investigating issues with target systems and end-user applications.
In Streams for Apache Kafka, tracing facilitates the end-to-end tracking of messages: from source systems to Kafka, and then from Kafka to target systems and applications. Distributed tracing complements the monitoring of metrics in Grafana dashboards, as well as the component loggers.
Support for tracing is built in to the following Kafka components:
- MirrorMaker to trace messages from a source cluster to a target cluster
- Kafka Connect to trace messages consumed and produced by Kafka Connect
- Kafka Bridge to trace messages between Kafka and HTTP client applications
Tracing is not supported for Kafka brokers.
You enable and configure tracing for these components through their custom resources. You add tracing configuration using spec.template properties.
You enable tracing by specifying a tracing type using the spec.tracing.type property:
opentelemetry-
Specify
type: opentelemetryto use OpenTelemetry. By Default, OpenTelemetry uses the OTLP (OpenTelemetry Protocol) exporter and endpoint to get trace data. You can specify other tracing systems supported by OpenTelemetry, including Jaeger tracing. To do this, you change the OpenTelemetry exporter and endpoint in the tracing configuration.
Streams for Apache Kafka no longer supports OpenTracing. If you were previously using OpenTracing with the type: jaeger option, we encourage you to transition to using OpenTelemetry instead.
22.1. Tracing options
Use OpenTelemetry with the Jaeger tracing system.
OpenTelemetry provides an API specification that is independent from the tracing or monitoring system.
You use the APIs to instrument application code for tracing.
- Instrumented applications generate traces for individual requests across the distributed system.
- Traces are composed of spans that define specific units of work over time.
Jaeger is a tracing system for microservices-based distributed systems.
- The Jaeger user interface allows you to query, filter, and analyze trace data.
The Jaeger user interface showing a simple query
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