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Text
trace ID, and make
TOOLS — JAEGER DOCUMENTATION Tracegen. It is a powerful utility that can be used to generate continuous stream of simple spans. This is specially useful for stress testing. It supports flags to control the number of workers and number of traces to generate in each worker. Not only that, it can generate spans in firehose mode (a flag set on spans to skip indexing). OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
OPENTELEMETRY
MONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown.CLIENT FEATURES
The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. SECURING JAEGER INSTALLATION This page documents the existing security mechanisms in Jaeger, organized by the pairwise connections between Jaeger components. We ask for community help with implementing additional security measures (see issue-1718).. Client to Agent JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
TOOLS — JAEGER DOCUMENTATION Tracegen. It is a powerful utility that can be used to generate continuous stream of simple spans. This is specially useful for stress testing. It supports flags to control the number of workers and number of traces to generate in each worker. Not only that, it can generate spans in firehose mode (a flag set on spans to skip indexing). OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
OPENTELEMETRY
MONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown.CLIENT FEATURES
The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. SECURING JAEGER INSTALLATION This page documents the existing security mechanisms in Jaeger, organized by the pairwise connections between Jaeger components. We ask for community help with implementing additional security measures (see issue-1718).. Client to Agent TOOLS — JAEGER DOCUMENTATION Tracegen. It is a powerful utility that can be used to generate continuous stream of simple spans. This is specially useful for stress testing. It supports flags to control the number of workers and number of traces to generate in each worker. Not only that, it can generate spans in firehose mode (a flag set on spans to skip indexing). JAEGER – DOWNLOAD JAEGER Image Description Since version; all-in-one: Designed for quick local testing. It launches the Jaeger UI, collector, query, and agent, with an in-memory storage component. FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
DEPLOYMENT — JAEGER DOCUMENTATION For production deployment, pass MODE=prod DATACENTER={datacenter} arguments to the script, where {datacenter} is the name used in the Cassandra configuration / network topology.. The script also allows overriding TTL, keyspace name, replication factor, etc. Run the script without arguments to see the full list of recognized parameters.ARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
JAEGER DOCUMENTATION 2021 The Jaeger Authors. Documentation distributed under CC-BY-4.0. 2021 The Linux Foundation. All rights reserved. The Linux Foundation has registeredMONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown. JAEGER – GETTING IN TOUCH Via chat or email. Join our Google mail group jaeger-tracing@googlegroups.com or the chat room #jaeger at the CNCF Slack.You can get an invitation at https://slack.cncf.io in order to register to this Slack workspace.. Bi-weekly project meetings. The Jaeger maintainers and contributors meet on a video call every other week, and everyone is welcome to join and participate, discuss theirissues
FREQUENTLY ASKED QUESTIONS Why is the Dependencies page empty? The Dependencies page shows a graph of services traced by Jaeger and connections between them. When you are using all-in-one binary with in-memory storage, the graph is calculated on-demand from all the traces stored in memory. However, if you are using a real distributed storage like Cassandra or Elasticsearch, it is too expensive to scan all the data in WWW.JAEGERTRACING.IOTRANSLATE THIS PAGE ‹ Ý=iwÛ¶²ßû+x ¾X¾ IQ»cK}Ž §î 8K·œœ $A‰1· ¤m%õ 3X¸hñªäÞûzNe fÃ`03X²û 7v²YBµi ã]üÕœ€06š GäÜ&©îù—ÔÕ³8Ñ MF4Ò’”Báh#Y JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic ElasticsearchGETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
OPENTELEMETRY
ARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. APIS — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IO JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic ElasticsearchGETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
OPENTELEMETRY
ARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. APIS — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IO TOOLS — JAEGER DOCUMENTATION Tracegen. It is a powerful utility that can be used to generate continuous stream of simple spans. This is specially useful for stress testing. It supports flags to control the number of workers and number of traces to generate in each worker. Not only that, it can generate spans in firehose mode (a flag set on spans to skip indexing). FEATURES — JAEGER DOCUMENTATION Features. Jaeger is used for monitoring and troubleshooting microservices-based distributed systems, including: Distributed context propagation. Distributed transaction monitoring. Root cause analysis. Service dependency analysis. Performance / latencyoptimization.
FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p DEPLOYMENT — JAEGER DOCUMENTATION For production deployment, pass MODE=prod DATACENTER={datacenter} arguments to the script, where {datacenter} is the name used in the Cassandra configuration / network topology.. The script also allows overriding TTL, keyspace name, replication factor, etc. Run the script without arguments to see the full list of recognized parameters.ARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
JAEGER DOCUMENTATION Welcome to Jaeger’s documentation portal! Below, you’ll find information for beginners and experienced Jaeger users. If you can’t find what you are looking for, or have an issue not covered here, we’d love to hear from you. If you are new to distributed tracing, please take a look at the Related Links section below.MONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown.CLIENT LIBRARIES
Client Libraries. All Jaeger client libraries support the OpenTracing APIs. The following resources provide more information about instrumenting your application with OpenTracing: The official OpenTracing documentation and other materials at opentracing.io. PERFORMANCE TUNING GUIDE Version 1.22 Latest. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IO FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
OPENTELEMETRY
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. APIS — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IO JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IO FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
OPENTELEMETRY
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. APIS — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOMONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown. FEATURES — JAEGER DOCUMENTATION Features. Jaeger is used for monitoring and troubleshooting microservices-based distributed systems, including: Distributed context propagation. Distributed transaction monitoring. Root cause analysis. Service dependency analysis. Performance / latencyoptimization.
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p DEPLOYMENT — JAEGER DOCUMENTATION For production deployment, pass MODE=prod DATACENTER={datacenter} arguments to the script, where {datacenter} is the name used in the Cassandra configuration / network topology.. The script also allows overriding TTL, keyspace name, replication factor, etc. Run the script without arguments to see the full list of recognized parameters. FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
JAEGER DOCUMENTATION Welcome to Jaeger’s documentation portal! Below, you’ll find information for beginners and experienced Jaeger users. If you can’t find what you are looking for, or have an issue not covered here, we’d love to hear from you. If you are new to distributed tracing, please take a look at the Related Links section below.ARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
CLIENT LIBRARIES
Client Libraries. All Jaeger client libraries support the OpenTracing APIs. The following resources provide more information about instrumenting your application with OpenTracing: The official OpenTracing documentation and other materials at opentracing.io. SECURING JAEGER INSTALLATION Unfortunately, at this time the Jaeger backend does not provide means of configuring TLS for its HTTP servers. The connections can be secured by using a reverse proxy placed in front of the collectors. HTTP - no TLS/authentication. Some Jaeger clients support passing auth-tokens or basic auth. Blog post: Protecting the collection ofspans
PERFORMANCE TUNING GUIDE Version 1.22 Latest. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IO FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
OPENTELEMETRY
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. APIS — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IO JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IO FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
OPENTELEMETRY
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. APIS — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOMONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown. FEATURES — JAEGER DOCUMENTATION Features. Jaeger is used for monitoring and troubleshooting microservices-based distributed systems, including: Distributed context propagation. Distributed transaction monitoring. Root cause analysis. Service dependency analysis. Performance / latencyoptimization.
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p DEPLOYMENT — JAEGER DOCUMENTATION For production deployment, pass MODE=prod DATACENTER={datacenter} arguments to the script, where {datacenter} is the name used in the Cassandra configuration / network topology.. The script also allows overriding TTL, keyspace name, replication factor, etc. Run the script without arguments to see the full list of recognized parameters. FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
JAEGER DOCUMENTATION Welcome to Jaeger’s documentation portal! Below, you’ll find information for beginners and experienced Jaeger users. If you can’t find what you are looking for, or have an issue not covered here, we’d love to hear from you. If you are new to distributed tracing, please take a look at the Related Links section below.ARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
CLIENT LIBRARIES
Client Libraries. All Jaeger client libraries support the OpenTracing APIs. The following resources provide more information about instrumenting your application with OpenTracing: The official OpenTracing documentation and other materials at opentracing.io. SECURING JAEGER INSTALLATION Unfortunately, at this time the Jaeger backend does not provide means of configuring TLS for its HTTP servers. The connections can be secured by using a reverse proxy placed in front of the collectors. HTTP - no TLS/authentication. Some Jaeger clients support passing auth-tokens or basic auth. Blog post: Protecting the collection ofspans
PERFORMANCE TUNING GUIDE Version 1.22 Latest. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
OPENTELEMETRY
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. PERFORMANCE TUNING GUIDE Version 1.22 Latest. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
OPENTELEMETRY
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. PERFORMANCE TUNING GUIDE Version 1.22 Latest. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. TOOLS — JAEGER DOCUMENTATION Tracegen. It is a powerful utility that can be used to generate continuous stream of simple spans. This is specially useful for stress testing. It supports flags to control the number of workers and number of traces to generate in each worker.MONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown.GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p FEATURES — JAEGER DOCUMENTATION Features. Jaeger is used for monitoring and troubleshooting microservices-based distributed systems, including: Distributed context propagation. Distributed transaction monitoring. Root cause analysis. Service dependency analysis. Performance / latencyoptimization.
ARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
JAEGER DOCUMENTATION Welcome to Jaeger’s documentation portal! Below, you’ll find information for beginners and experienced Jaeger users. If you can’t find what you are looking for, or have an issue not covered here, we’d love to hear from you. If you are new to distributed tracing, please take a look at the Related Links section below. CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature.CLIENT LIBRARIES
Client Libraries. All Jaeger client libraries support the OpenTracing APIs. The following resources provide more information about instrumenting your application with OpenTracing: The official OpenTracing documentation and other materials at opentracing.io. SECURING JAEGER INSTALLATION Unfortunately, at this time the Jaeger backend does not provide means of configuring TLS for its HTTP servers. The connections can be secured by using a reverse proxy placed in front of the collectors. HTTP - no TLS/authentication. Some Jaeger clients support passing auth-tokens or basic auth. Blog post: Protecting the collection ofspans
PERFORMANCE TUNING GUIDE Version 1.22 Latest. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
OPENTELEMETRY
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. PERFORMANCE TUNING GUIDE Version 1.22 Latest. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. WINDOWS SERVICE DEPLOYMENT Windows Service Deployment. In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch SAMPLING — JAEGER DOCUMENTATION Sampling. Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C. When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a randomtrace ID, and make
GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p OPERATOR FOR KUBERNETES The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is bothdeployed
DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
OPENTELEMETRY
CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature. PERFORMANCE TUNING GUIDE Version 1.22 Latest. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. TOOLS — JAEGER DOCUMENTATION Tracegen. It is a powerful utility that can be used to generate continuous stream of simple spans. This is specially useful for stress testing. It supports flags to control the number of workers and number of traces to generate in each worker.MONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown.GETTING STARTED
All-in-one is an executable designed for quick local testing, launches the Jaeger UI, collector, query, and agent, with an in memory storage component. The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line). $ docker run -d --name jaeger \ -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \ -p FEATURES — JAEGER DOCUMENTATION Features. Jaeger is used for monitoring and troubleshooting microservices-based distributed systems, including: Distributed context propagation. Distributed transaction monitoring. Root cause analysis. Service dependency analysis. Performance / latencyoptimization.
ARCHITECTURE
The Jaeger agent is a network daemon that listens for spans sent over UDP, which it batches and sends to the collector. It is designed to be deployed to all hosts as an infrastructure component. The agent abstracts the routing and discovery of the collectors away from theclient.
JAEGER DOCUMENTATION Welcome to Jaeger’s documentation portal! Below, you’ll find information for beginners and experienced Jaeger users. If you can’t find what you are looking for, or have an issue not covered here, we’d love to hear from you. If you are new to distributed tracing, please take a look at the Related Links section below. CLIENT LIBRARY FEATURES Client Library Features. The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. Data format and transport for reporting spans to Jaeger backend. Feature.CLIENT LIBRARIES
Client Libraries. All Jaeger client libraries support the OpenTracing APIs. The following resources provide more information about instrumenting your application with OpenTracing: The official OpenTracing documentation and other materials at opentracing.io. SECURING JAEGER INSTALLATION Unfortunately, at this time the Jaeger backend does not provide means of configuring TLS for its HTTP servers. The connections can be secured by using a reverse proxy placed in front of the collectors. HTTP - no TLS/authentication. Some Jaeger clients support passing auth-tokens or basic auth. Blog post: Protecting the collection ofspans
PERFORMANCE TUNING GUIDE Version 1.22 Latest. Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application.GETTING STARTED
If you are new to distributed tracing, please check the Introduction page.. Instrumentation. Your applications must be instrumented before they can send tracing data to Jaeger backend. SAMPLING — JAEGER DOCUMENTATION Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C.When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a random trace ID, and make a sampling decision based on the currently installed WINDOWS SERVICE DEPLOYMENT In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch setup, configured using both environment variables and process OPERATOR FOR KUBERNETES This creates the namespace used by default in the deployment files. If you want to install the Jaeger operator in a different namespace, you must edit the deployment files to change observability to the desired namespace value. This installs the “Custom Resource Definition” for the apiVersion: jaegertracing.io/v1. The operator will activate extra features if given cluster-wide DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOARCHITECTURE
Jaeger’s clients adhere to the data model described in the OpenTracing standard. Reading the specification will help you understand this section better.. Terminology. Let’s start with a quick refresher on the terminology defined by the OpenTracing Specification.. SpanOPENTELEMETRY
CLIENT LIBRARY FEATURES The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. PERFORMANCE TUNING GUIDE Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application.GETTING STARTED
If you are new to distributed tracing, please check the Introduction page.. Instrumentation. Your applications must be instrumented before they can send tracing data to Jaeger backend. SAMPLING — JAEGER DOCUMENTATION Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C.When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a random trace ID, and make a sampling decision based on the currently installed WINDOWS SERVICE DEPLOYMENT In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch setup, configured using both environment variables and process OPERATOR FOR KUBERNETES This creates the namespace used by default in the deployment files. If you want to install the Jaeger operator in a different namespace, you must edit the deployment files to change observability to the desired namespace value. This installs the “Custom Resource Definition” for the apiVersion: jaegertracing.io/v1. The operator will activate extra features if given cluster-wide DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOARCHITECTURE
Jaeger’s clients adhere to the data model described in the OpenTracing standard. Reading the specification will help you understand this section better.. Terminology. Let’s start with a quick refresher on the terminology defined by the OpenTracing Specification.. SpanOPENTELEMETRY
CLIENT LIBRARY FEATURES The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. PERFORMANCE TUNING GUIDE Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or networkGETTING STARTED
If you are new to distributed tracing, please check the Introduction page.. Instrumentation. Your applications must be instrumented before they can send tracing data to Jaeger backend.ARCHITECTURE
Jaeger’s clients adhere to the data model described in the OpenTracing standard. Reading the specification will help you understand this section better.. Terminology. Let’s start with a quick refresher on the terminology defined by the OpenTracing Specification.. Span FEATURES — JAEGER DOCUMENTATION Jaeger is used for monitoring and troubleshooting microservices-based distributed systems, including: Distributed context propagation; Distributed transaction monitoring FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
JAEGER DOCUMENTATION 2021 The Jaeger Authors. Documentation distributed under CC-BY-4.0. 2021 The Linux Foundation. All rights reserved. The Linux Foundation has registered CLIENT LIBRARY FEATURES The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required.MONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown.CLIENT LIBRARIES
Libraries in other languages are currently under development, please see issue #366.. Initializing Jaeger Tracer. The initialization syntax is slightly different in each languages, please refer to the README’s in the respective repositories. SECURING JAEGER INSTALLATION This page documents the existing security mechanisms in Jaeger, organized by the pairwise connections between Jaeger components. We ask for community help with implementing additional security measures (see issue-1718).. Client to Agent PERFORMANCE TUNING GUIDE Tweaking your Jaeger instance to achieve a better performance. Increase in-memory queue size. Most of the Jaeger clients, such as the Java, Go, and C# clients, buffer spans in memory before sending them to the Jaeger Agent/Collector. JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application.GETTING STARTED
If you are new to distributed tracing, please check the Introduction page.. Instrumentation. Your applications must be instrumented before they can send tracing data to Jaeger backend. SAMPLING — JAEGER DOCUMENTATION Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C.When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a random trace ID, and make a sampling decision based on the currently installed WINDOWS SERVICE DEPLOYMENT In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch setup, configured using both environment variables and process OPERATOR FOR KUBERNETES This creates the namespace used by default in the deployment files. If you want to install the Jaeger operator in a different namespace, you must edit the deployment files to change observability to the desired namespace value. This installs the “Custom Resource Definition” for the apiVersion: jaegertracing.io/v1. The operator will activate extra features if given cluster-wide DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOARCHITECTURE
Jaeger’s clients adhere to the data model described in the OpenTracing standard. Reading the specification will help you understand this section better.. Terminology. Let’s start with a quick refresher on the terminology defined by the OpenTracing Specification.. SpanOPENTELEMETRY
CLIENT LIBRARY FEATURES The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. PERFORMANCE TUNING GUIDE Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACINGINTRODUCTIONGETTING STARTEDARCHITECTUREDEPLOYMENTCLIENT LIBRARIESMONITORING JAEGER Why Jaeger? As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability.It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application.GETTING STARTED
If you are new to distributed tracing, please check the Introduction page.. Instrumentation. Your applications must be instrumented before they can send tracing data to Jaeger backend. SAMPLING — JAEGER DOCUMENTATION Jaeger libraries implement consistent upfront (or head-based) sampling. For example, assume we have a simple call graph where service A calls service B, and B calls service C: A -> B -> C.When service A receives a request that contains no tracing information, Jaeger tracer will start a new trace, assign it a random trace ID, and make a sampling decision based on the currently installed WINDOWS SERVICE DEPLOYMENT In Windows environments, Jaeger processes can be hosted and managed as Windows services controlled via the sc utility. To configure such services on Windows, download nssm.exe for the appropriate architecture, and issue commands similar to how Jaeger is typically run. The example below showcases a basic Elasticsearch setup, configured using both environment variables and process OPERATOR FOR KUBERNETES This creates the namespace used by default in the deployment files. If you want to install the Jaeger operator in a different namespace, you must edit the deployment files to change observability to the desired namespace value. This installs the “Custom Resource Definition” for the apiVersion: jaegertracing.io/v1. The operator will activate extra features if given cluster-wide DEPLOYMENT — JAEGER DOCUMENTATIONSEE MORE ON JAEGERTRACING.IOARCHITECTURE
Jaeger’s clients adhere to the data model described in the OpenTracing standard. Reading the specification will help you understand this section better.. Terminology. Let’s start with a quick refresher on the terminology defined by the OpenTracing Specification.. SpanOPENTELEMETRY
CLIENT LIBRARY FEATURES The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required. PERFORMANCE TUNING GUIDE Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or networkGETTING STARTED
If you are new to distributed tracing, please check the Introduction page.. Instrumentation. Your applications must be instrumented before they can send tracing data to Jaeger backend.ARCHITECTURE
Jaeger’s clients adhere to the data model described in the OpenTracing standard. Reading the specification will help you understand this section better.. Terminology. Let’s start with a quick refresher on the terminology defined by the OpenTracing Specification.. Span FEATURES — JAEGER DOCUMENTATION Jaeger is used for monitoring and troubleshooting microservices-based distributed systems, including: Distributed context propagation; Distributed transaction monitoring FRONTEND/UI CONFIGURATION Both url and text can be defined as templates (i.e. using #{field-name}) where Jaeger UI will dynamically substitute values based on tags/logs/traces data.. For traces, the supported template fields are: duration, endTime, startTime, traceName and traceID. Embedded Mode. Starting with version 1.9, Jaeger UI provides an “embedded” layout mode which is intended to support integratingJaeger
JAEGER DOCUMENTATION 2021 The Jaeger Authors. Documentation distributed under CC-BY-4.0. 2021 The Linux Foundation. All rights reserved. The Linux Foundation has registered CLIENT LIBRARY FEATURES The table below provides a feature matrix for the existing client libraries. Cells marked with ? indicate that it’s not known if the given client supports the given feature and additional research & documentation update is required.MONITORING JAEGER
The log level can be adjusted via --log-level command line switch; default level is info.. Traces. Jaeger has the ability to trace some of its own components, namely the requests to the Query service. For example, if you start all-in-one as described in Getting Started, and refresh the UI screen a few times, you will see jaeger-query populated in the Services dropdown.CLIENT LIBRARIES
Libraries in other languages are currently under development, please see issue #366.. Initializing Jaeger Tracer. The initialization syntax is slightly different in each languages, please refer to the README’s in the respective repositories. SECURING JAEGER INSTALLATION This page documents the existing security mechanisms in Jaeger, organized by the pairwise connections between Jaeger components. We ask for community help with implementing additional security measures (see issue-1718).. Client to Agent PERFORMANCE TUNING GUIDE Tweaking your Jaeger instance to achieve a better performance. Increase in-memory queue size. Most of the Jaeger clients, such as the Java, Go, and C# clients, buffer spans in memory before sending them to the Jaeger Agent/Collector.Download
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JAEGER: OPEN SOURCE, END-TO-END DISTRIBUTED TRACING Monitor and troubleshoot transactions in complex distributed systemsGet started
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AS ON-THE-GROUND MICROSERVICE PRACTITIONERS ARE QUICKLY REALIZING, THE MAJORITY OF OPERATIONAL PROBLEMS THAT ARISE WHEN MOVING TO A DISTRIBUTED ARCHITECTURE ARE ULTIMATELY GROUNDED IN TWO AREAS: NETWORKING AND OBSERVABILITY. IT IS SIMPLY AN ORDERS OF MAGNITUDE LARGER PROBLEM TO NETWORK AND DEBUG A SET OF INTERTWINED DISTRIBUTED SERVICES VERSUS A SINGLE MONOLITHIC APPLICATION. PROBLEMS THAT JAEGER ADDRESSES_tv_
DISTRIBUTED TRANSACTION MONITORING_build_
PERFORMANCE AND LATENCY OPTIMIZATION_call_split_
ROOT CAUSE ANALYSIS
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DISTRIBUTED CONTEXT PROPAGATION LATEST ARTICLES FROM OUR BLOG*
JAEGER DATA ANALYTICS WITH JUPYTER NOTEBOOKS In the previous blog post Data analytics with Jaeger aka traces tell us more! we have introduced our data science initiative and platform.The …
-------------------------Pavol Loffay
March 17, 2020
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WEAVE TRIMMED TROUBLESHOOTING FAT, CUT API RESPONSE TIME FROM SECONDS TO MILLISECONDS WITH JAEGER Weave trimmed troubleshooting fat, cut API response time from seconds to milliseconds with Jaeger When Weave added Jaeger for distributedtracing, …
-------------------------Orate
February 28, 2020
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T-TRACE: AGENT-LIKE INSTRUMENTATION FOR GRAALVM In this article we will look at the agent-like instrumentation tool T-Trace. The tool provides non-intrusive instrumentation capabilitiesfor …
-------------------------Pavol Loffay
February 24, 2020
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DATA ANALYTICS WITH JAEGER AKA TRACES TELL US MORE! I will get straight to the point, Jaeger at the moment only visualizes collected data from instrumented applications. It does not perform any…
-------------------------Pavol Loffay
February 2, 2020
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JAEGER WITH ELASTICSEARCH ON KUBERNETES USING OPERATORS In this article, we are going to look at deploying Jaeger on Kubernetes and OpenShift with Elasticsearch storage using operators. We will go through … -------------------------Pavol Loffay
December 16, 2019
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USING JAEGER WITH ECLIPSE CHE As explained on the Eclipse Che website, “Che brings your Kubernetes application into your development environment and provides anin-browser IDE, …
-------------------------Gary Brown
October 31, 2019
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JAEGER PROJECTS FOR THE CURRENT OUTREACHY ROUND: Q&A Jaeger is participating in the current Outreachy round (December 2019 to March 2020) and we are starting to receive questions about ourpossible …
------------------------- Juraci Paixão KröhlingOctober 2, 2019
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WEAVEWORKS COMBINES JAEGER TRACING WITH LOGS AND METRICS FOR A TROUBLESHOOTING SWISS ARMY KNIFE Weaveworks Combines Jaeger Tracing With Logs and Metrics for a Troubleshooting Swiss Army Knife At a glance Software system: Allcloud-native …
-------------------------Orate
September 26, 2019
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USING ELASTICSEARCH ROLLOVER TO MANAGE INDICES In this article you will learn how to configure and use the Elasticsearch rollover feature in Jaeger. Note that this feature has been introduced in … -------------------------Pavol Loffay
July 24, 2019
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GRAFANA LABS TEAMS USE JAEGER TO IMPROVE QUERY PERFORMANCE UP TO 10X Grafana Labs’ engineers needed to cut guesswork out of troubleshooting customer problems and query optimization. Jaeger, an open-source tracing … -------------------------Orate
July 9, 2019
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