As a service owner, you can use Jaeger to instrument your services to gather insights into your service architecture. Jaeger is an open source distributed tracing platform that you can use for monitoring, network profiling, and troubleshooting the interaction between components in modern, cloud-native, microservices-based applications.
Using Jaeger lets you perform the following functions:
Monitor distributed transactions
Optimize performance and latency
Perform root cause analysis
Jaeger is based on the vendor-neutral OpenTracing APIs and instrumentation.
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This release of OpenShift Jaeger adds support for using an "external" Elasticsearch cluster to store tracing data, that is, an Elasticsearch instance not installed and created by the Elasticsearch Operator.
This release adds autoscaling support for the Jaeger Collector and Ingester.
Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see https://access.redhat.com/support/offerings/techpreview/.
When you install the Jaeger Operator you can select a Technology Preview version of Jaeger. This gives you access to clients and infrastructure for exporting tracing data to Jaeger based on the OpenTelemetry framework. Note that this version is not supported for production environments.
The OpenTelemetry collector allows developers to instrument their code with vendor agnostic APIs, avoiding vendor lock-in and opening the door to a growing ecosystem of observability tooling.
These limitations exist in Jaeger:
Apache Spark is not supported.
These are the known issues in Jaeger:
TRACING-1166 It is not currently possible to use the Jaeger streaming strategy within a disconnected environment. When a Kafka cluster is being provisioned, it results in a error:
Failed to pull image registry.redhat.io/amq7/amq-streams-kafka-24-rhel7@sha256:f9ceca004f1b7dccb3b82d9a8027961f9fe4104e0ed69752c0bdd8078b4a1076.
TRACING-809 Jaeger Ingester is incompatible with Kafka 2.3. When there are two or more instances of the Jaeger Ingester and enough traffic it will continuously generate rebalancing messages in the logs. This is due to a regression in Kafka 2.3 that was fixed in Kafka 2.3.1. For more information, see Jaegertracing-1819.
TRACING-1631 Multiple Jaeger production instances, using same name but within different namespaces, causing Elasticsearch certificate issue. When multiple service meshes were installed, all of the Jaeger Elasticsearch instances had the same Elasticsearch secret instead of individual secrets, which prevented the Elasticsearch Operator from communicating with all of the Elasticsearch clusters.