Ceph and SigNoz Integration
Powerful performance with an easy integration, powered by Telegraf, the open source data connector built by InfluxData.
5B+
Telegraf downloads
#1
Time series database
Source: DB Engines
1B+
Downloads of InfluxDB
2,800+
Contributors
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 Ceph plugin for Telegraf helps in gathering performance metrics from both MON and OSD nodes in a Ceph storage cluster for effective monitoring and management.
This configuration turns any Telegraf agent into a Remote Write publisher for SigNoz, streaming rich metrics straight into the SigNoz backend with a single URL change.
Integration details
Ceph
The Ceph Storage Telegraf plugin is designed to collect performance metrics from Monitor (MON) and Object Storage Daemon (OSD) nodes within a Ceph storage cluster. Ceph, a highly scalable storage system, integrates its metrics collection through this plugin, facilitating easy monitoring of its components. With the introduction of this plugin in the 13.x Mimic release, users can effectively gather detailed insights into the performance and health of their Ceph infrastructure. It functions by scanning configured socket directories for specific Ceph service socket files, executing commands via the Ceph administrative interface, and parsing the returned JSON data for metrics. The metrics are organized based on top-level keys, allowing for efficient monitoring and analysis of cluster performance. This plugin provides valuable capabilities for managing and maintaining the performance of a Ceph cluster by allowing administrators to understand system behavior and identify potential issues proactively.
SigNoz
SigNoz is an open source observability platform that stores metrics, traces, and logs. When you deploy SigNoz, its signoz-otel-collector-metrics service exposes a Prometheus Remote Write receiver (default :13133/api/v1/write). By configuring Telegraf’s Prometheus plugin to point at this endpoint, you can push any Telegraf collected metrics, SNMP counters, cloud services, or business KPIs—directly into SigNoz. The plugin natively serializes metrics in the Remote Write protobuf format, supports external labels, metadata export, retries, and TLS or bearer-token auth, so it fits zero-trust and multi-tenant SigNoz clusters. Inside SigNoz, the data lands in ClickHouse tables that back Metrics Explorer, alert rules, and unified dashboards. This approach lets organizations unify Prometheus and OTLP pipelines, enables long-term retention powered by ClickHouse compression, and avoids vendor lock-in while retaining PromQL-style queries.
Configuration
Ceph
[[inputs.ceph]]
## This is the recommended interval to poll. Too frequent and you
## will lose data points due to timeouts during rebalancing and recovery
interval = '1m'
## All configuration values are optional, defaults are shown below
## location of ceph binary
ceph_binary = "/usr/bin/ceph"
## directory in which to look for socket files
socket_dir = "/var/run/ceph"
## prefix of MON and OSD socket files, used to determine socket type
mon_prefix = "ceph-mon"
osd_prefix = "ceph-osd"
mds_prefix = "ceph-mds"
rgw_prefix = "ceph-client"
## suffix used to identify socket files
socket_suffix = "asok"
## Ceph user to authenticate as, ceph will search for the corresponding
## keyring e.g. client.admin.keyring in /etc/ceph, or the explicit path
## defined in the client section of ceph.conf for example:
##
## [client.telegraf]
## keyring = /etc/ceph/client.telegraf.keyring
##
## Consult the ceph documentation for more detail on keyring generation.
ceph_user = "client.admin"
## Ceph configuration to use to locate the cluster
ceph_config = "/etc/ceph/ceph.conf"
## Whether to gather statistics via the admin socket
gather_admin_socket_stats = true
## Whether to gather statistics via ceph commands, requires ceph_user
## and ceph_config to be specified
gather_cluster_stats = false
SigNoz
[[outputs.prometheusremotewrite]]
## SigNoz OTEL-Collector metrics endpoint (Prometheus Remote Write receiver)
## Default port is 13133 when you install SigNoz with the Helm chart
url = "http://signoz-otel-collector-metrics.monitoring.svc.cluster.local:13133/api/v1/write"
## Add identifying labels so you can slice & dice the data later
external_labels = { host = "${HOSTNAME}", agent = "telegraf" }
## Forward host metadata for richer dashboards (SigNoz maps these to ClickHouse columns)
send_metadata = true
## ----- Authentication (comment out what you don’t need) -----
# bearer_token = "$SIGNOZ_TOKEN" # SaaS tenant token
# basic_username = "signoz" # Basic auth (self-hosted)
# basic_password = "secret"
## ----- TLS options (for SaaS or HTTPS self-hosted) -----
# tls_ca = "/etc/ssl/certs/ca.crt"
# tls_cert = "/etc/telegraf/certs/telegraf.crt"
# tls_key = "/etc/telegraf/certs/telegraf.key"
# insecure_skip_verify = false
## ----- Performance tuning -----
max_batch_size = 10000 # samples per POST
timeout = "10s"
retry_max = 3
Input and output integration examples
Ceph
-
Dynamic Monitoring Dashboard: Utilize the Ceph plugin to create a real-time monitoring dashboard that visually represents the performance metrics of your Ceph cluster. By integrating these metrics into a centralized dashboard, system administrators can gain immediate insights into the health of the storage infrastructure, which aids in quickly identifying and addressing potential issues before they escalate.
-
Automated Alerting System: Implement the Ceph plugin in conjunction with an alerting solution to automatically notify administrators of performance degradation or operational issues within the Ceph cluster. By defining thresholds for key metrics, organizations can ensure prompt response actions, thereby improving overall system reliability and performance.
-
Performance Benchmarking: Use the metrics collected by this plugin to conduct performance benchmarking tests across different configurations or hardware setups of your Ceph storage cluster. This process can assist organizations in identifying optimal configurations that enhance performance and resource utilization, promoting a more efficient storage environment.
-
Capacity Planning and Forecasting: Integrate the metrics gathered from the Ceph storage plugin into broader data analytics and reporting tools to facilitate capacity planning. By analyzing historical metrics, organizations can forecast future utilization trends, enabling informed decisions about scaling storage resources effectively.
SigNoz
-
Multi-Cluster Federated Monitoring: Drop a Telegraf DaemonSet into each Kubernetes cluster, tag metrics with
cluster=<name>
, and Remote Write them to a central SigNoz instance. Ops teams get a single PromQL window across prod, staging, and edge clusters without running Thanos sidecars. -
Factory-Floor Edge Gateway: A rugged Intel NUC on the shop floor runs Telegraf to scrape Modbus PLCs and environmental sensors. It batches readings every 5 seconds and pushes them over an intermittent 4G link to SigNoz SaaS. ClickHouse compression keeps costs low while AI-based outlier detection in SigNoz flags overheating motors before failure.
-
SaaS Usage Metering: Telegraf runs alongside each micro-service, exporting per-tenant counters (
api_calls
,gigabytes_processed
). Remote Write streams the data to SigNoz where a scheduled ClickHouse materialized view aggregates usage for monthly billing—no separate metering stack required. -
Autoscaling Feedback Loop: Combine Telegraf’s Kubernetes input with the Remote Write output to publish granular pod CPU and queue-length metrics into SigNoz. A custom SigNoz alert fires when P95 latency breaches 200 ms and a GitOps controller reads that alert to trigger a HorizontalPodAutoscaler tweak—closing the loop between observability and automation.
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
Related Integrations
Related Integrations
HTTP and InfluxDB Integration
The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
View IntegrationKafka and InfluxDB Integration
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations including different Kafka settings and message processing options.
View IntegrationKinesis and InfluxDB Integration
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
View Integration