top 10 best practices for
Taking Solr to Production

Apache Solr is an open-source search platform that provides indexing and search capabilities for web applications and other types of data-driven applications. Solr is built on top of Apache Lucene, which is a high-performance search engine library written in Java.

SearchStax Managed Search is a fully-managed SaaS solution that automates, manages, maintains and scales Solr search infrastructure in public or private clouds.

Core features include:

Core Features

• High Availability Solr or HA Solr
• Cloud automation
• Monitoring and alerting
• Automated backups
• Disaster recovery options to meet every business need
• Available on AWS, Azure and Google in over 60 regions
• On-demand scaling
• Roles and permissions

Is the performance of your Solr search implementation sluggish and crawling along at a snail’s pace? Are you getting unexpected out-of-memory errors, suffering from spontaneous recovery mode issues or experiencing slow indexing performance?

Based on years of managing Solr environments for over 600 customers across the globe, we have identified five recommendations to improve Solr search performance:

1. Set autoSoftCommit feature to 2 minutes
2. 2. Set the autoCommitfeature to 5 minutes
3. Use autowarmCount = 0 for All Cache Settings
4. Set maxRamMB to 200
5. Use the Default Values of True for Lazy Fields and Sorted Query

View our recommendations to optimize Solr search performance.

Here are our top 10 Solr best practices for getting your system ready for production that Solr doesn’t print on their “instruction label.”

1. Implement Zookeeper 
2. Achieve High Availability
3. Follow Security Protocols with TLS
4. Maintain Access Restrictions
5. Distribute Queries with a Load Balancer
6. Determine What and When to Log
7. Monitor the Health of your Solr Deployment 
8. Create a Backup Strategy
9. Determine When to Expand Storage
10. Keep Up with Vulnerability Patches