Splunk Firehose Nozzle for PCF
This documentation describes the Splunk Nozzle for Pivotal Cloud Foundry (PCF) Firehose. Splunk Nozzle integrates with PCF Loggregator and forwards streaming logs and metrics from user apps and system components of Cloud Foundry to Splunk Enterprise. PCF operators can then gain operational visibility over their PCF infrastructure, including the health and performance of their apps and system components.
The Splunk Firehose Nozzle for PCF Tile streams logs and metrics from PCF and forwards them to user-specified Splunk Enterprise indexers configured to receive data via HTTP Event Collector. PCF operators and Splunk users can immediately search and analyze PCF Firehose data from their Splunk Enterprise deployment to build reports, dashboards, and alerts on the health and performance of their apps.
Splunk Firehose Nozzle for PCF includes the following key features:
- Setup with out-of-the-box data parsing and enrichment for various PCF event types.
- Reliable event delivery by leveraging Splunk’s HTTP Event Collector endpoint.
- Secure forwarding from PCF into external Splunk environments using user-provided SSL certificates.
- Scales out to meet increasing data volume and number of apps.
|Release Date||September 12, 2017|
|Compatible Ops Manager Version(s)||v1.10.x, v1.11.x, and v1.12.x|
|Compatible Elastic Runtime Version(s)||v1.10.x, v1.11.x, and v1.12.x|
|IaaS Support||vSphere, OpenStack, and AWS|
Splunk Firehose Nozzle for PCF has the following requirements.
- An external Splunk Enterprise or Splunk Cloud 6.x deployment configured with a HTTP Event Collector token to receive data.
There are currently many projects involving Splunk and Pivotal Cloud Foundry. Included are links to these projects:
- Splunk Firehose Nozzle for PCF Tile - Elastic Runtime deployed via PCF Ops Manager
- Splunk Firehose Nozzle project - Open source project location of Splunk Firehose Nozzle
- Splunk Add-on for Cloud Foundry - Splunk Add-on for Cloud Foundry is used to parse, analyze and visualize Firehose data
No known limitations.