HTTP and Splunk Integration

Input and output integration overview

<p>The HTTP plugin allows for the collection of metrics from specified HTTP endpoints, handling various data formats and authentication methods.</p>

<p>This output plugin facilitates direct streaming of Telegraf collected metrics into Splunk via the HTTP Event Collector, enabling easy integration with Splunk’s powerful analytics platform.</p>

Integration details

HTTP

<p>The HTTP plugin collects metrics from one or more HTTP(S) endpoints, which should have metrics formatted in one of the supported input data formats. It also supports secrets from secret-stores for various authentication options and includes globally supported configuration settings.</p>

Splunk

<p>Use Telegraf to easily collect and aggregate metrics from many different sources and send them to Splunk. Utilizing the HTTP output plugin combined with the specialized Splunk metrics serializer, this configuration ensures efficient data ingestion into Splunk’s metrics indexes. The HEC is an advanced mechanism provided by Splunk designed to reliably collect data at scale via HTTP or HTTPS, providing critical capabilities for security, monitoring, and analytics workloads. Telegraf’s integration with Splunk HEC streamlines operations by leveraging standard HTTP protocols, built-in authentication, and structured data serialization, optimizing metrics ingestion and enabling immediate actionable insights.</p>

Configuration

HTTP

Splunk

Input and output integration examples

HTTP

<ol> <li><strong>Collecting Metrics from Localhost:</strong> The plugin can fetch metrics from an HTTP endpoint like <code>http://localhost/metrics</code>, allowing for easy local monitoring.</li> <li><strong>Using Unix Domain Sockets:</strong> You can specify metrics collection from services over Unix domain sockets by using the http+unix scheme, for example, <code>http+unix:///path/to/service.sock:/api/endpoint</code>.</li> </ol>

Splunk

<ol> <li> <p><strong>Real-Time Security Analytics</strong>: Utilize this plugin to stream security-related metrics from various applications into Splunk in real-time. Organizations can detect threats instantly by correlating data streams across systems, significantly reducing detection and response times.</p> </li> <li> <p><strong>Multi-Cloud Infrastructure Monitoring</strong>: Integrate Telegraf to consolidate metrics from multi-cloud environments directly into Splunk, enabling comprehensive visibility and operational intelligence. This unified monitoring allows teams to detect performance issues quickly and streamline cloud resource management.</p> </li> <li> <p><strong>Dynamic Capacity Planning</strong>: Deploy the plugin to continuously push resource metrics from container orchestration platforms (like Kubernetes) into Splunk. Leveraging Splunk’s analytics capabilities, teams can automate predictive scaling and resource allocation, avoiding resource bottlenecks and minimizing costs.</p> </li> <li> <p><strong>Automated Incident Response Workflows</strong>: Combine this plugin with Splunk’s alerting system to create automated incident response workflows. Metrics collected by Telegraf trigger real-time alerts and automated remediation scripts, ensuring rapid resolution and maintaining high system availability.</p> </li> </ol>

Feedback

Thank you for being part of our community! If you have any general feedback or found any bugs on these pages, we welcome and encourage your input. Please submit your feedback in the InfluxDB community Slack.