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

OpenSearch Frequent Garbage Collection

Frequent garbage collection events are occurring, impacting performance.

Understanding OpenSearch and Its Purpose

OpenSearch is an open-source search and analytics suite derived from Elasticsearch. It is designed to provide a robust, scalable, and secure solution for searching, analyzing, and visualizing data in real-time. OpenSearch is commonly used for log analytics, full-text search, and operational intelligence.

Symptom: Frequent Garbage Collection

In OpenSearch, a Frequent Garbage Collection alert indicates that the Java Virtual Machine (JVM) is spending a significant amount of time performing garbage collection. This can lead to increased latency and reduced throughput, affecting the overall performance of the OpenSearch cluster.

Details About the Alert

What is Garbage Collection?

Garbage collection is a process by which the JVM reclaims memory by removing objects that are no longer in use. While necessary for memory management, excessive garbage collection can lead to performance bottlenecks.

Impact on OpenSearch

Frequent garbage collection can cause increased CPU usage and slow down query processing. It may also lead to node instability if not addressed promptly.

Steps to Fix the Alert

Optimize Heap Usage

Ensure that your heap usage is optimized. Monitor the heap size and usage patterns using tools like Elasticsearch's Monitoring API. Aim to keep heap usage below 75% to avoid frequent garbage collection.

Increase Heap Size

If your heap usage is consistently high, consider increasing the heap size. This can be done by setting the OPENSEARCH_JAVA_OPTS environment variable:

export OPENSEARCH_JAVA_OPTS="-Xms4g -Xmx4g"

Ensure that the heap size is set to 50% of the available RAM, but not more than 32GB.

Tune Garbage Collection Settings

Consider tuning the garbage collection settings to better suit your workload. You can adjust the garbage collector type and related parameters in the jvm.options file. For example, switching to the G1 garbage collector can be beneficial for some workloads:

-XX:+UseG1GC

Refer to the Elasticsearch Advanced Configuration guide for more details.

Conclusion

By optimizing heap usage, adjusting heap size, and tuning garbage collection settings, you can mitigate the impact of frequent garbage collection on your OpenSearch cluster. Regular monitoring and adjustments based on workload changes are essential to maintaining optimal performance.

Master 

OpenSearch Frequent Garbage Collection

 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.

OpenSearch Frequent Garbage Collection

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