Debug Your Infrastructure

Get Instant Solutions for Kubernetes, Databases, Docker and more

AWS CloudWatch
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Pod Stuck in CrashLoopBackOff
Database connection timeout
Docker Container won't Start
Kubernetes ingress not working
Redis connection refused
CI/CD pipeline failing

Elasticsearch ElasticsearchClusterMasterNodeFailure

The master node has failed, which can affect cluster operations and stability.

Understanding Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. As a part of the Elastic Stack, it is used for log and event data analysis, full-text search, and more. Elasticsearch is designed to be horizontally scalable, providing high availability and reliability.

Symptom: ElasticsearchClusterMasterNodeFailure

In a healthy Elasticsearch cluster, the master node is responsible for managing cluster-wide settings and operations. The alert ElasticsearchClusterMasterNodeFailure indicates that the master node has failed, which can severely impact the cluster's operations and stability.

Details About the Alert

When the master node fails, the cluster may become unstable, and operations such as indexing and searching can be disrupted. This alert is triggered when the cluster is unable to elect a new master node, or if the current master node is unresponsive. This situation can lead to data loss or unavailability of services relying on Elasticsearch.

Common Causes

  • Network partitioning or connectivity issues.
  • Resource exhaustion on the master node (CPU, memory, disk).
  • Configuration errors or software bugs.

Steps to Fix the Alert

Resolving a master node failure requires a systematic approach to ensure the cluster returns to a stable state.

Step 1: Verify Cluster Health

Use the following command to check the cluster health:

curl -X GET 'http://localhost:9200/_cluster/health?pretty'

Look for the status field. A status of red or yellow indicates issues that need addressing.

Step 2: Check Logs for Errors

Examine the Elasticsearch logs for any errors or warnings that could indicate the cause of the failure. Logs are typically located in /var/log/elasticsearch/ or a custom directory specified in your configuration.

Step 3: Ensure a New Master Node is Elected

If the master node is down, ensure that a new master node is elected. This can be done by ensuring that the remaining nodes have connectivity and are configured correctly. Use the following command to view the current master node:

curl -X GET 'http://localhost:9200/_cat/master?v'

If no master node is listed, investigate network issues or node configurations.

Step 4: Investigate Resource Utilization

Check the resource utilization on the master node. High CPU, memory, or disk usage can cause the node to become unresponsive. Consider scaling your cluster or optimizing resource usage.

Step 5: Review Configuration

Ensure that your Elasticsearch configuration is correct. Pay special attention to settings related to discovery and cluster formation. Refer to the official Elasticsearch documentation for guidance.

Additional Resources

For more detailed troubleshooting steps, refer to the Elasticsearch Reference Guide. For community support, consider visiting the Elastic Discuss forums.

Master 

Elasticsearch ElasticsearchClusterMasterNodeFailure

 debugging in Minutes

— Grab the Ultimate Cheatsheet

(Perfect for DevOps & SREs)

Most-used commands
Real-world configs/examples
Handy troubleshooting shortcuts
Your email is safe with us. No spam, ever.

Thankyou for your submission

We have sent the cheatsheet on your email!
Oops! Something went wrong while submitting the form.

Elasticsearch ElasticsearchClusterMasterNodeFailure

Cheatsheet

(Perfect for DevOps & SREs)

Most-used commands
Your email is safe thing.

Thankyou for your submission

We have sent the cheatsheet on your email!
Oops! Something went wrong while submitting the form.

MORE ISSUES

Deep Sea Tech Inc. — Made with ❤️ in Bangalore & San Francisco 🏢

Doctor Droid