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Planning for infrastructure and resource scalability

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To scale your Splunk environment while maintaining optimal efficiency and user satisfaction, you need a strategic approach. Your approach should include capacity planning, a flexible architecture that accommodates additional components, load balancing to prevent performance bottlenecks, and leveraging other features of the Splunk platform to help you optimize indexes and data. The strategies provided in this pathway will help you accomplish these goals. You can work through them sequentially or in any order that suits your current level of progress in scalability.

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.

Planning for infrastructure and resource scalability
Pages: 2
  • Assessing capacity needs
    This section outlines steps to ensure that when key events arise, your Splunk infrastructure remains resilient, efficient, and ready to handle the uptick in demand.
  • Designing a scalable architecture
    This section guides you through establishing a robust monitoring system that detects anomalies, addresses bottlenecks, and promptly responds to issues that might impact revenue during critical moments.

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