Fluentd and Cortex Integration
Powerful performance with an easy integration, powered by Telegraf, the open source data connector built by InfluxData.
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Table of Contents
Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
See Ways to Get Started
Input and output integration overview
The Fluentd Input Plugin gathers metrics from Fluentd’s in_monitor plugin endpoint. It provides insights into various plugin metrics while allowing for custom configurations to reduce series cardinality.
This plugin enables Telegraf to send metrics to Cortex using the Prometheus remote write protocol, allowing seamless ingestion into Cortex’s scalable, multi-tenant time series storage.
Integration details
Fluentd
This plugin gathers metrics from the Fluentd plugin endpoint provided by the in_monitor plugin. It reads data from the /api/plugin.json resource and allows exclusion of specific plugins based on their type.
Cortex
With Telegraf’s HTTP output plugin and the prometheusremotewrite
data format you can send metrics directly to Cortex, a horizontally scalable, long-term storage backend for Prometheus. Cortex supports multi-tenancy and accepts remote write requests using the Prometheus protobuf format. By using Telegraf as the collection agent and Remote Write as the transport mechanism, organizations can extend observability into sources not natively supported by Prometheus—such as Windows hosts, SNMP-enabled devices, or custom application metrics—while leveraging Cortex’s high-availability and long-retention capabilities.
Configuration
Fluentd
[[inputs.fluentd]]
## This plugin reads information exposed by fluentd (using /api/plugins.json endpoint).
##
## Endpoint:
## - only one URI is allowed
## - https is not supported
endpoint = "http://localhost:24220/api/plugins.json"
## Define which plugins have to be excluded (based on "type" field - e.g. monitor_agent)
exclude = [
"monitor_agent",
"dummy",
]
Cortex
[[outputs.http]]
## Cortex Remote Write endpoint
url = "http://cortex.example.com/api/v1/push"
## Use POST to send data
method = "POST"
## Send metrics using Prometheus remote write format
data_format = "prometheusremotewrite"
## Optional HTTP headers for authentication
# [outputs.http.headers]
# X-Scope-OrgID = "your-tenant-id"
# Authorization = "Bearer YOUR_API_TOKEN"
## Optional TLS configuration
# tls_ca = "/path/to/ca.pem"
# tls_cert = "/path/to/cert.pem"
# tls_key = "/path/to/key.pem"
# insecure_skip_verify = false
## Request timeout
timeout = "10s"
Input and output integration examples
Fluentd
- Basic Configuration: Set up the Fluentd Input Plugin to gather metrics from your Fluentd instance’s monitoring endpoint, ensuring you are able to track performance and usage statistics.
- Excluding Plugins: Use the
exclude
option to ignore specific plugins’ metrics that are not necessary for your monitoring needs, streamlining data collection and focusing on what matters. - Custom Plugin ID: Implement the
@id
parameter in your Fluentd configuration to maintain a consistentplugin_id
, which helps avoid issues with high series cardinality during frequent restarts.
Cortex
-
Unified Multi-Tenant Monitoring: Use Telegraf to collect metrics from different teams or environments and push them to Cortex with separate
X-Scope-OrgID
headers. This enables isolated data ingestion and querying per tenant, ideal for managed services and platform teams. -
Extending Prometheus Coverage to Edge Devices: Deploy Telegraf on edge or IoT devices to collect system metrics and send them to a centralized Cortex cluster. This approach ensures consistent observability even for environments without local Prometheus scrapers.
-
Global Service Observability with Federated Tenants: Aggregate metrics from global infrastructure by configuring Telegraf agents to push data into regional Cortex clusters, each tagged with tenant identifiers. Cortex handles deduplication and centralized access across regions.
-
Custom App Telemetry Pipeline: Collect app-specific telemetry via Telegraf’s
exec
orhttp
input plugins and forward it to Cortex. This allows DevOps teams to monitor app-specific KPIs in a scalable, query-efficient format while keeping metrics logically grouped by tenant or service.
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.
Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
See Ways to Get Started
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