Liferay Portal Assessment and Tuning

We review your Liferay architecture to ensures it is scalable, stable, and ready for growth. This includes evaluating server setup, clustering, and deployment models, optimizing caching, and integrating CDN support. These improvements are designed to enhance performance and handle high traffic efficiently. Elasticsearch, Ehcache, the application server, and server logs are also analyzed to identify errors, performance issues, and integration problems, strengthening overall system reliability.

We review all portal components to ensure they are properly set up and used efficiently across the Liferay platform. This includes reviewing custom code, fragments, web content, collections, pages, and widgets to identify areas for improvement. Complex custom solutions are replaced with built-in Liferay features such as Objects and Client Extensions wherever possible. Duplicate or unused components are also removed to improve performance, simplify maintenance, and maintain a clean, well-structured portal.

Custom developments and integrations can greatly impact portal performance if not implemented efficiently. Our code review process focuses on identifying inefficient database queries, redundant API calls, suboptimal service-layer logic, and indexing issues that may slow down the system.  

Beyond identifying system limits through testing, we help implement long-term scaling strategies to support future growth. This includes recommending horizontal scaling approaches, validating clustering setups, reviewing session replication mechanisms, and optimizing traffic distribution strategies. We also perform Liferay performance tuning by optimizing JVM settings, cache configurations, connection pools, database performance, and search indexing. 

We use the best caching strategies like Apache Configuration for Liferay with KeepAlive, LogLevels, ETag, optimize Thread Pool in Tomcat, optimize Database Thread Pool, Content Delivery Network(CDN) for faster resource delivery, etc.

Liferay caching is critical to overall portal performance. We review fine-tune entity cache, finder cache, and MultiVM cache configurations to reduce database load and improve response times, ensuring your portal delivers faster and more consistent user experiences.

Java Virtual Machine (JVM) settings play a key role in Liferay’s performance and stability. We optimize heap size, garbage collection, and memory allocation to ensure efficient resource usage and smoother system operation. Proper JVM tuning improves responsiveness, reduces memory issues, and enhances overall stability. 

Logs serve as an operational diary for your Liferay portal. We perform a comprehensive log analysis to identify recurring errors, hidden exceptions, performance bottlenecks, memory warnings, slow database queries, and integration failures. This proactive review helps detect hidden problems early and improve system health.