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What Is Splunk? Here’s What You Can Do with Splunk

Anam
Community Manager
Community Manager

Hey Splunk Community, we know you know Splunk. You likely leverage its unparalleled ability to ingest, index, and search machine data at scale, transforming raw logs into searchable events. But Splunk’s true power extends far beyond foundational log management — it’s a platform for resilience and intelligence at scale. 

What Splunk does: the short version 

Splunk helps you make sense of logs, metrics, traces, and events across your tech stack, so you can detect issues, ensure reliable and secure systems, and act with confidence. 

What that actually looks like 

 

At its core, Splunk is a data platform that turns chaotic machine data into actionable insights. Here's how Splunk does it: 

  • Searches across logs and metrics when things break. 
  • Alerts on suspicious or unusual patterns. 
  • Investigates incidents with visualizations and dashboards. 
  • Automates responses to recurring issues. 

That means when your service slows down, your app crashes, or your network starts acting weird, Splunk can help you find the root cause quickly and fix it faster. 

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Meet Buttercup the Pwny, Splunk’s official mascot. Curious about the name Splunk? We're named after the activity "spelunking," aka exploring caves. Just like spelunkers explore physical caves, Splunk users around the world explore their own "data caves" to uncover hidden insights. 

How teams use Splunk 

Splunk's true impact is seen in how it empowers organizations to build digital resilience across critical domains by providing real-time operational intelligence. 

Splunk is used by a wide range of teams across IT, security, DevOps, and platform engineering. Here are a few ways it's applied. 

Security 

 

Splunk is widely known for Splunk Enterprise Security (ES), the industry-leading SIEM platform. Security teams use Splunk to: 

  • Detect, investigate, and respond to threats (TDIR) across diverse environments. 
  • Correlate data across endpoints, networks, cloud, and identity systems to spot hidden risks. 
  • Simplify compliance and audit reporting. 

Next steps: Join the conversation on the Enterprise Security or SOAR community boards, or explore all Splunk cybersecurity solutions >  

Observability 

 

With observability solutions including Splunk Observability Cloud and Splunk AppDynamics, teams gain full-stack visibility, from backend infrastructure and services to frontend experiences. Observability users rely on Splunk to: 

  • Ensure reliability and uptime. 
  • Trace and troubleshoot application performance issues in real time. 
  • Monitor end-user experience to ensure smooth digital journeys. 
  • Correlate metrics, logs, and traces for faster root cause analysis. 
  • Detect anomalies in distributed systems before they impact customers. 

Next steps: Add to the conversation at the Community boards for Observability Cloud and AppDynamics, or explore all Splunk observability solutions >  

IT Operations and AIOps 

 

For ITOps, Splunk is a command center for keeping systems running smoothly. Pulling from infrastructure and operational data, Splunk IT Service Intelligence (ITSI) is used to: 

  • Monitor servers, networks, and cloud infrastructure health. 
  • Automate alerts and incident response to reduce MTTD and MTTR. 
  • Forecast outages and capacity issues with predictive analytics. 
  • Optimize system performance and resource utilization. 

Next steps: Stop by the ITSI Community board or learn about ITSI for IT and AIOps >  

Data management 

 

Splunk doesn’t just analyze data, it manages it effectively at scale. Data teams use Splunk to: 

  • Ingest and normalize data from any source, structured or unstructured. 
  • Manage retention policies and optimize storage to control costs. 
  • Enforce governance and ensure data quality across teams. 
  • Provide a single, reliable source of machine data for security, IT, and observability teams alike. 

Next steps: See the latest in Splunk Search, our most popular board, or learn about data management with Splunk > 

AI and Automation 

 

AI and machine learning are embedded across Splunk’s platform, helping teams work smarter and faster. With Splunk’s AI-driven insights, organizations can: 

  • Detect anomalies before they escalate into incidents. 
  • Reduce alert fatigue by surfacing only the most relevant signals. 
  • Accelerate root cause analysis with guided investigation. 
  • Automate repetitive responses, freeing teams to focus on higher-value work. 
  • Support emerging agentic AI use cases, where AI not only identifies issues but can act on them autonomously 

Explore all Splunk AI solutions >  

What sets Splunk apart 

While other tools focus on just one layer of the stack (logs, metrics, or security data), Splunk provides unified visibility across it all:  

  • Works across hybrid environments. 
  • Handles massive data volumes (Indexing terabytes of data daily and searching petabytes of historical data). 
  • Enables a single search experience across every dataset. 

Whether you're ingesting logs from Kubernetes, firewall data from AWS, or telemetry from your SaaS stack, Splunk brings it all together. 

It also offers a powerful query language (SPL and SPL2) and real-time analytics that make it easy to explore patterns, diagnose problems, and visualize trends — all in one place. 

What Splunk Isn’t 

It’s equally important to clarify what Splunk isn’t. Splunk isn’t “just for logs”, and it’s not only for security teams. Splunk is a versatile platform that can be adapted to a wide range of use cases, bringing data to every decision, from cybersecurity to business process optimization. 

Community voices on Splunk 

Here are some insights from the Splunk community about the Splunk community: 

  • "The Splunk Community is one of the smartest, friendliest, and most willing to help communities I've ever come across." James (Caboose) Sevener  

Check out more customer success stories on why customers love Splunk >  

From data to doing: why people use Splunk 

Ultimately, Splunk transforms the chaos of machine-generated data into a strategic advantage, moving from reacting to problems to preventing them altogether. Visibility across complex systems helps teams around the world to: 

  • Detect and respond to threats. 
  • Resolve problems faster. 
  • Reduce manual toil through automation. 
  • Stay ahead of compliance requirements.  

The real value is digital resilience: the ability to prevent disruptions, recover quickly, and adapt to new challenges with confidence. 

Learn more about Splunk 

If you're new to Splunk or just getting started, learn How to Navigate the Splunk Community — It's where users ask questions, share solutions, and learn from each other. Here's a quick intro to what the Community is all about. 

  • For a wider overview on Splunk, check out the full What Splunk Does explainer.  
  • For hands-on tutorials and guidance, browse Community (of course), check the technical docs at Splunk Help and get started with hands-on tutorials from Splunk Lantern. 

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FAQs about Splunk 

 

What does Splunk do? 

Splunk turns machine data into insights for detecting issues, securing systems, and ensuring reliability across IT, security, and business operations. 

Is Splunk just a logging tool? 

No. Splunk goes beyond log management with observability, security, IT operations, data management, and AI-driven automation. 

Who uses Splunk? 

Splunk is used by IT, security, DevOps, and platform teams in organizations of all sizes—from startups to global enterprises. 

What sets Splunk apart from other tools? 

Unlike point solutions, Splunk provides unified visibility across logs, metrics, traces, and events, handling massive scale with one search experience. 

Does Splunk use AI? 

Yes. Splunk uses machine learning and emerging agentic AI to detect anomalies, reduce alert noise, accelerate root cause analysis, and automate responses. 

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