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Optimizing systems and knowledge objects

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To achieve optimal system performance and knowledge object efficiency, you'll need customized configurations, consistent tuning, streamlined objects, effective summary indexing, acceleration, lookup optimization, and simplified data models. This comprehensive approach ensures Splunk operates at its peak, and the strategies provided in this pathway will help you accomplish this goal. You can work through them sequentially or in any order that suits your current level of progress in system and object optimization.

This article is part of the Improve Performance Outcome. For additional pathways to help you succeed with this outcome, click here to see the Improve Performance overview.

Optimizing systems and knowledge objects
Pages: 3
  • Cleaning up knowledge objects
    You need to manage these objects in order to maintain operational efficiency and ensure that your users get the most value from the platform.
  • Using summary indexing
    Summary indexing is a valuable strategy that can significantly enhance the performance of your searches, especially when dealing with large datasets.
  • Optimizing searches and dashboards
    Optimizing searches and dashboards improves performance and contributes to reducing the total cost of ownership by optimizing resource utilization and maximizing productivity.

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