SOLR Consulting

From the Apache Solr website, Solr is an open source enterprise search server based on the Lucene Java search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication, a web administration interface and many more features. It has been designed for companies that are planning to or already using Apache Solr and/or Lucene internally. Such organizations either want to develop Solr expertise in-house, accelerate their project timeline or have an experienced and expert team available to ensure project success.

Our Apache SOLR consulting is provided as a short engagement to help architect and come up with an approach to solve your business need, we’ll work with your business and technology team to perform requirement analysis, design, best practices recommendations, performance tuning and rollout. Further, we provide implementation of your search project using Solr & related technologies. We have expertise in Java, Python to build custom data pipelines, service layers, and automated deployments and test suites for ease of maintenance. Post implementation, we can provide the requisite knowledge transfer to your team or provide support/maintenance package for your deployment. We proudly offer 24×7 support for your servers running Solr in production. Our engineers have many years of experience in triaging issues, providing root cause analysis and pairing with your engineers or support staff to ensure you SLAs. We provide a range of services for Solr, including:

  • Experts for hire at competitive rates
  • Architectural design consulting for Solr
  • Project managing search solutions built to the customer’s specification
  • Support and maintenance services for Solr, using a commercial-grade service level agreement
  • Managed Services. We run the search system, you focus on your core business
  • Relevancy tuning and performance improvement for existing Solr implementations
  • Solr installation, configuration and integration
  • Distributed search strategies
  • Architecture for a highly available solution that scales for current and future volume
  • Architecture for disaster recovery and replication
  • High performance data ingestion pipelines
  • Index optimization to ensure relevancy
  • Performance tuning, load balancing and load testing services for Solr
  • Reporting and analysis of search information and usage