How to Build Your Own Splunk

Seamlessly ingest logs, metrics, traces, and events from any source or format via built-in integrations

Embed Splunk reports in any application

Directly ingest data from DevOps, IoT and other sources using Event Collector API

Roll data to existing Hadoop or Amazon S3 data lakes for cold storage

Integration with IT service management tools for incident management

Search, analyze, and act on machine data at massive scale from any source with real-time insights

Native generative AI capabilities to uncover deep data insights with natural language

GUI-based assistants that guide through ML model creation process

Native ML capabilities for anomaly detection and predictive analytics

Use clustering algorithms to identify patterns and group similar data

Detect advanced persistent threats using behavioral analytics, machine learning, and risk scoring

Secure AI applications with built-in security controls

Complete visibility into security threats with AI and automation capabilities

Quickly detect, investigate, and respond to fraud activities with specialized reporting and visualizations

Defend against insider threats with advanced analytics

Visual data analysis for metrics and events without needing to know SPL

See impact on business KPIs and optimize performance

Support for multiple correlation types including time, transactions, sub-searches, lookups and joins

Detect patterns in events for anomaly and threat detection

Quickly and visually analyze metrics and events data with improved search performance and storage costs

Create custom visualizations and dashboards with intuitive tools

Customized dashboards and data visualizations to tell compelling data stories

Wide range of charts and visualizations for data analysis and storytelling

Experience data and dashboards on objects themselves and provide insights to non-SPL users

Display Splunk dashboards securely on office, NOC, or SOC displays using Apple TV, Android TV, or Fire TV

Reduce alert noise with automated event correlation and real-time dashboards

Automatically trigger subsequent actions like emails and remediation scripts when alerts are triggered

Set alerts at varying levels of granularity based on data thresholds, trends, and behavioral patterns

Alert generation with high precision to reduce false positives

Get critical alerts in real-time for events and impending conditions

Simple and modern user experience to onboard data in minutes with centralized control

Govern data pipelines to reduce costs and improve business outcomes

Reduce historical data storage costs by up to 80 percent while retaining search capabilities

Ingest data via forwarders that reside directly on data sources

Convert logs into metrics for more efficient compression, storage, and retrieval

Automatically evaluates data access patterns and optimizes storage placement

Push inactive data to remote storage to reduce costs while maintaining search capabilities

Next-generation architecture that independently scales compute and data storage with intelligent caching

Policy-based mechanism to reserve system resources for ingestion and search workloads