Skip to content
Home » Enhancements to Fusion 5.12 Performance

Enhancements to Fusion 5.12 Performance

  • by

Fusion 5.12: Powering Up Performance

Released on March 28, 2024, Fusion 5.12 brings significant performance enhancements that elevate its capabilities in data processing, search, and overall system efficiency. Let’s explore the key improvements that make this version a game-changer for organizations seeking top-notch performance.

## Asynchronous Parsing Service

One of the standout features in Fusion 5.12 is the introduction of asynchronous parsing. This service allows Fusion to process and parse data in the background, significantly improving system efficiency and scalability[1]. By offloading parsing tasks, Fusion can handle other operations more quickly, leading to improved overall system performance.

## Enhanced Job Status Reporting

Fusion 5.12 introduces a dedicated job function microservice called `job-config`. This addition brings several performance benefits[1]:

– More accurate and reliable job reports

– Enhanced control over job execution

– Efficient job history storage

The new system uses asynchronous communication through Kafka, optimizing overall performance without impacting existing API usage or user workflows.

## Improved Query Pipeline Reliability

To address issues with 503 errors under sustained query load, Fusion 5.12 introduces a configurable retry setting for the api-gateway service[1]. This enhancement automatically attempts to reconnect to query pipeline pods, significantly reducing errors and improving overall system stability.

## Configurable Timeout for Datasource Jobs

Fusion 5.12 now offers a configurable timeout for datasource jobs, replacing the previous fixed duration of 100 seconds[1]. This flexibility allows for better handling of various network conditions and data source response times, potentially improving performance in diverse environments.

## Cloud Signal Storage

For Managed Fusion users, version 5.12 introduces cloud signal storage capabilities. Organizations can now store signals data in Google Cloud Storage or Amazon S3, reducing the storage burden on Solr clusters and potentially improving performance[4].

## Conclusion

Fusion 5.12’s performance enhancements demonstrate Lucidworks’ commitment to delivering a powerful, efficient, and scalable search platform. From asynchronous parsing to improved job management and query pipeline reliability, these improvements position Fusion 5.12 as a high-performance solution for organizations dealing with large-scale data processing and search requirements.

Leave a Reply

Your email address will not be published. Required fields are marked *

For AI, Search, Content Management & Data Engineering Services

Get in touch with us