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  1. The Splunk Platform | Splunk

    Access and analyze your data wherever it resides — whether in Splunk, Amazon S3, Amazon Security Lake, and more — without costly movement or duplication. Gain real-time insights …

  2. Data Management | Splunk Docs

    Capture, filter, index, and analyze live network data with Splunk Stream to uncover insights into network trends, application performance, and security threats.

  3. Splunk | The Key to Enterprise Resilience

    Splunk’s extensible data platform powers industry-leading security and observability solutions, plus custom applications. Here are just a few use cases and solutions.

  4. Splunk products

    Collect data from various sources, including other forwarders, and send it to a Splunk deployment. Use the universal forwarder to seamlessly send data to Splunk Enterprise, Splunk Cloud or …

  5. Data Management | Splunk

    Implement a modern data management strategy with Splunk: reduce costs, enhance visibility, uncover insights, and find and fix issues faster.

  6. About Splunk | Company Overview | Splunk

    Supercharged by Cisco, Splunk extends resilience across the entire tech stack, spanning networks, endpoints, cloud environments, and applications. Powered by a scalable, AI-driven …

  7. What Is Splunk? The Complete Overview of What Splunk Does

    Jun 30, 2025 · Unlike micro-focused tools, Splunk’s core platform is a universal data engine: designed to ingest nearly any machine data format, index at scale, and deliver lightning-fast, …

  8. Big Data Analytics, Explained - Splunk

    Dec 6, 2024 · Unlock insights from vast datasets with big data analytics. Explore real-life applications, tools, techniques, benefits, and challenges in this comprehensive guide.

  9. Logging best practices - Splunk Lantern

    Learn how to optimize data at the source so that Splunk can collect logs easier, faster, and more accurately.

  10. Optimizing data model acceleration for better performance

    While optimizing accelerated data model performance might seem daunting, you can solve most issues, including misconfigured data model acceleration jobs, leftover artifacts from old apps …