This template uses an in-memory storage with a limited functionality for local testing and development. Do not use this template in production environments.
Install everything in the current namespace:
kubectl create -f https://raw.githubusercontent.com/jaegertracing/jaeger-kubernetes/master/all-in-one/jaeger-all-in-one-template.yml
Once everything is ready, kubectl get service jaeger-query
tells you where to find Jaeger URL.
If you are using minikube
to setup your Kubernetes cluster, the command minikube service jaeger-query --url
can be used instead.
The Jaeger Collector and Query require a backing storage to exist before being started up. As a starting point for your own templates, we provide basic templates deploying Cassandra and Elasticsearch. None of them are ready for production and should be adapted before any real usage.
To use our Cassandra template:
kubectl create -f https://raw.githubusercontent.com/jaegertracing/jaeger-kubernetes/master/production/configmap.yml
kubectl create -f https://raw.githubusercontent.com/jaegertracing/jaeger-kubernetes/master/production/cassandra.yml
For Elasticsearch, use:
kubectl create -f https://raw.githubusercontent.com/jaegertracing/jaeger-kubernetes/master/production-elasticsearch/configmap.yml
kubectl create -f https://raw.githubusercontent.com/jaegertracing/jaeger-kubernetes/master/production-elasticsearch/elasticsearch.yml
The Cassandra template includes also a Kubernetes Job
that creates the schema required by the Jaeger components. It's advisable
to wait for this job to finish before deploying the Jaeger components. To check the status of the job, run:
kubectl get job jaeger-cassandra-schema-job
The job should have 1
in the SUCCESSFUL
column.
The Jaeger Collector, Query and Agent require a ConfigMap
to exist on the same namespace, named jaeger-configuration
.
This ConfigMap
is included in the storage templates, as each backing storage have their own specific configuration entries,
but in your environment, you'll probably manage it differently.
If changes are required for the configuration, the edit
command can be used:
kubectl edit configmap jaeger-configuration
The main production template deploys the Collector and the Query Service (with UI) as separate individually scalable services,
as well as the Agent as DaemonSet
.
kubectl create -f https://raw.githubusercontent.com/jaegertracing/jaeger-kubernetes/master/jaeger-production-template.yml
If the backing storage is not ready by the time the Collector/Agent start, they will fail and Kubernetes will reschedule the pod. It's advisable to either wait for the backing storage to stabilize, or to ignore such failures for the first few minutes.
Once everything is ready, kubectl get service jaeger-query
tells you where to find Jaeger URL, or
minikube service jaeger-query --url
when using minikube
.
As the agent is deployed as a DaemonSet
, the node's IP address can be stored as an environment variable and passed down
to the application as:
env:
- name: JAEGER_AGENT_HOST
valueFrom:
fieldRef:
fieldPath: status.hostIP
The Jaeger Agent is designed to be deployed local to your service, so that it can receive traces via UDP keeping your
application's load minimal. By default, the template above installs the agent as a DaemonSet
, but this means that all
pods running on a given node will send data to the same agent. If that's not suitable for your workload, an alternative
is to deploy the agent as a sidecar. To accomplish that, just add it as a container within any struct that supports
spec.containers
, like a Pod
, Deployment
and so on. More about this be found on the blog post
Deployment strategies for the Jaeger Agent.
Assuming that your application is named myapp
and the image is for it is mynamespace/hello-myimage
, your
Deployment
descriptor would be something like:
- apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp
spec:
selector:
matchLabels:
app: myapp
template:
metadata:
labels:
app: myapp
spec:
containers:
- image: mynamespace/hello-myimage
name: myapp
ports:
- containerPort: 8080
- image: jaegertracing/jaeger-agent
name: jaeger-agent
ports:
- containerPort: 5775
protocol: UDP
- containerPort: 5778
- containerPort: 6831
protocol: UDP
- containerPort: 6832
protocol: UDP
command:
- "/go/bin/agent-linux"
- "--collector.host-port=jaeger-collector.jaeger-infra.svc:14267"
The Jaeger Agent will then be available to your application at localhost:5775
/localhost:6831
/localhost:6832
.
In most cases, you don't need to specify a hostname or port to your Jaeger Tracer, as it will default to the right
values already.
Even though this template uses a stateful Cassandra, backing storage is set to emptyDir
. It's more
appropriate to create a PersistentVolumeClaim
/PersistentVolume
and use it instead. Note that this
Cassandra deployment does not support deleting pods or scaling down, as this might require
administrative tasks that are dependent on the final deployment architecture.
Jaeger production deployment needs an external process to derive dependency links between services. Project spark-dependencies provides this functionality.
This job should be periodically run before end of a day. The following command creates CronJob
scheduled 5 minutes before the midnight.
kubectl run jaeger-spark-dependencies --schedule="55 23 * * *" --env="STORAGE=cassandra" --env="CASSANDRA_CONTACT_POINTS=cassandra:9042" --restart=Never --image=jaegertracing/spark-dependencies
If you want to run the job only once and immediately then remove scheduled flag.
A curated Chart for Kubernetes Helm that adds all components required to run Jaeger.
If you need to remove the Jaeger components created by this template, run:
kubectl delete all,daemonset,configmap -l jaeger-infra
Tests are based on Arquillian Cube which require an active connection to
kubernetes cluster (via kubectl
). When executing tests from IDE make sure that template is copied to
target/test-classes
.
minikube start
./mvnw clean verify -Pcassandra,elasticsearch,all-in-one