← Back to Blog

Connecting Jaeger with Elasticsearch Backend Storage on Kubernetes Cluster

Jaeger, a distributed tracing system, is an essential tool for microservices-based architectures. It helps in monitoring and troubleshooting complex, cloud-native applications. This blog post will guide you through the process of connecting Jaeger with Elasticsearch backend storage on a Kubernetes cluster.
By Saturn Cloud | | Miscellaneous

Connecting Jaeger with Elasticsearch Backend Storage on Kubernetes Cluster

Jaeger, a distributed tracing system, is an essential tool for microservices-based architectures. It helps in monitoring and troubleshooting complex, cloud-native applications. This blog post will guide you through the process of connecting Jaeger with Elasticsearch backend storage on a Kubernetes cluster.

Introduction

Jaeger is an open-source, end-to-end distributed tracing system that helps developers monitor and troubleshoot complex, microservices-based architectures. It was developed by Uber Technologies and is now part of the Cloud Native Computing Foundation.

Elasticsearch, on the other hand, is a powerful open-source search and analytics engine that makes data easy to explore. It’s known for its speed and scalability, making it an excellent choice for backend storage for Jaeger.

Kubernetes, a popular container orchestration platform, provides a robust framework for deploying and managing distributed systems.

In this tutorial, we will walk you through the process of setting up Jaeger with Elasticsearch as its backend storage on a Kubernetes cluster.

Prerequisites

Before we begin, ensure you have the following:

  • A running Kubernetes cluster
  • kubectl command-line tool installed and configured
  • Helm installed

Step 1: Install Elasticsearch

First, we need to install Elasticsearch in our Kubernetes cluster. We will use the official Elasticsearch Helm chart for this purpose. Run the following command:

helm repo add elastic https://helm.elastic.co
helm install elasticsearch elastic/elasticsearch

Step 2: Install Jaeger

Next, we install Jaeger using its official Helm chart. Run the following command:

helm repo add jaegertracing https://jaegertracing.github.io/helm-charts
helm install jaeger jaegertracing/jaeger

Step 3: Configure Jaeger to Use Elasticsearch

Now, we need to configure Jaeger to use Elasticsearch as its backend storage. This involves modifying the Jaeger Helm chart values.

Create a values.yaml file and add the following:

storage:
  type: elasticsearch
  elasticsearch:
    server-urls: http://elasticsearch-master:9200

Then, upgrade the Jaeger release with the new values:

helm upgrade jaeger jaegertracing/jaeger -f values.yaml

Step 4: Verify the Setup

Finally, verify that Jaeger is correctly configured to use Elasticsearch. You can do this by checking the logs of the Jaeger collector:

kubectl logs $(kubectl get pods -l app.kubernetes.io/instance=jaeger -l app.kubernetes.io/component=collector -o jsonpath="{.items[0].metadata.name}") | grep "Using gRPC storage plugin"

If everything is set up correctly, you should see a log message indicating that Jaeger is using Elasticsearch as its storage backend.

Conclusion

In this tutorial, we’ve walked through the process of connecting Jaeger with Elasticsearch backend storage on a Kubernetes cluster. This setup allows you to leverage the power of Elasticsearch for storing and analyzing your Jaeger traces, providing a robust solution for monitoring and troubleshooting your microservices-based applications.

Remember, while this guide provides a basic setup, both Jaeger and Elasticsearch offer many configuration options to tailor the system to your specific needs. Always refer to the official documentation for more detailed information.

References

Tags

#Jaeger #Elasticsearch #Kubernetes #Microservices #DistributedTracing #BackendStorage

About Saturn Cloud

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Join today and get 150 hours of free compute per month.

Try Saturn Cloud Now