opentelemetry-instrumentation-confluent-kafka
OpenTelemetry Confluent Kafka instrumentation
Decision gist · record as of 2026-08-14
Yes, if you are already using OpenTelemetry and confluent-kafka together. Low install friction, active maintenance, no security issues, and permissive licensing make it a straightforward addition to tracing-enabled systems. The beta status is not a blocker for production use in established observability setups, but verify confluent-kafka version compatibility for your deployment.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; confluent-kafka library must be installed separately.
- Low friction installation with a small, stable dependency tree (4 runtime deps).
- Active maintenance with recent release; beta status indicates ongoing development but no known security issues.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in most commercial and open-source projects without significant restrictions.
last release 2026-07-16 (29 days) · last repo commit 2026-08-14 · 1,086 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,742,389 downloads/mo, #2,508 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-confluent-kafka
import opentelemetry.instrumentation.confluent_kafka
from opentelemetry.instrumentation.confluent_kafka import ConfluentKafkaInstrumentor
ConfluentKafkaInstrumentor().instrument()- Whether this instrumentation works with all confluent-kafka versions or has specific version constraints.
- Performance overhead of tracing on high-throughput Kafka workloads.
- Specific span attributes and semantic conventions used for Kafka operations.
What it is and what it does
This package is an OpenTelemetry instrumentation plugin that automatically captures Kafka operations from the confluent-kafka library and exports them as distributed traces. It wraps confluent-kafka calls to emit span data compatible with OpenTelemetry collectors, allowing you to observe message flow, latency, and errors across your Kafka infrastructure without modifying application code.
The package integrates with opentelemetry-api, opentelemetry-instrumentation, opentelemetry-semantic-conventions, and wrapt for transparent function wrapping. It targets Python 3.10 and later and is actively maintained, though marked as beta, indicating the API may evolve.
Use it for
- Monitor Kafka producer and consumer latency and throughput in microservice architectures using distributed tracing backends.
- Correlate Kafka message operations with upstream and downstream service calls in end-to-end trace visualization.
- Debug message delivery failures and consumer lag by inspecting span attributes and error telemetry.
- Collect Kafka operation metrics for SLO tracking and alerting in observability platforms.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using OpenTelemetry and confluent-kafka together.
Low install friction, active maintenance, no security issues, and permissive licensing make it a straightforward addition to tracing-enabled systems. The beta status is not a blocker for production use in established observability setups, but verify confluent-kafka version compatibility for your deployment.
Install
opentelemetry-instrumentation-confluent-kafka on PyPI
Before you install
Low friction installation with a small, stable dependency tree (4 runtime deps). Active maintenance with recent release; beta status indicates ongoing development but no known security issues.
Requires Python 3.10 or later; confluent-kafka library must be installed separately.
License in practice
Apache-2.0 permissive license allows use in most commercial and open-source projects without significant restrictions.
Quickstart
pip install opentelemetry-instrumentation-confluent-kafka
import opentelemetry.instrumentation.confluent_kafka
from opentelemetry.instrumentation.confluent_kafka import ConfluentKafkaInstrumentor
ConfluentKafkaInstrumentor().instrument()Verify before relying
- Whether this instrumentation works with all confluent-kafka versions or has specific version constraints.
- Performance overhead of tracing on high-throughput Kafka workloads.
- Specific span attributes and semantic conventions used for Kafka operations.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesopentelemetry-apiopentelemetry-instrumentationopentelemetry-semantic-conventionswrapt |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,742,389 / month, #2,508 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: opentelemetry_instrumentation_confluent_kafka-0.65b0-py3-none-any.whl
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See also opentelemetry-instrumentation-aiokafka · opentelemetry-instrumentation-kafka-python · opentelemetry-instrumentation-cassandra · opentelemetry-instrumentation-boto · opentelemetry-instrumentation-remoulade · opentelemetry-instrumentation-celery · kafka-schema-registry · kafka-python-ng · py-zipkin · confluent-kafka-stubs