Icinga and Redis Integration

Powerful performance with an easy integration, powered by Telegraf, the open source data connector built by InfluxData.

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This is not the recommended configuration for real-time query at scale. For query and compression optimization, high-speed ingest, and high availability, you may want to consider Icinga and InfluxDB.

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Time series database
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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

This plugin gathers services & hosts status using Icinga2 Remote API, providing an interface to monitor your infrastructure effectively.

The Redis plugin enables users to send metrics collected by Telegraf directly to Redis. This integration is ideal for applications that require robust time series data storage and analysis.

Integration details

Icinga

The Icinga2 Plugin enables users to gather status information from Icinga2’s Remote API. Icinga2 is a powerful monitoring system that checks the health of hosts and services and provides detailed monitoring capabilities. The plugin facilitates retrieving metrics such as the state of hosts and services, as well as detailed API status metrics. This integration is vital for users looking to keep an eye on their infrastructure’s health and performance metrics automatically, leveraging the Icinga2’s extensive API. By utilizing this plugin, users can easily integrate Icinga2 monitoring data with other systems, providing a comprehensive view of their infrastructure status.

Redis

The Redis Telegraf plugin is designed for writing metrics to RedisTimeSeries, a specialized Redis database module for time series data. This plugin facilitates the integration of Telegraf with RedisTimeSeries, allowing for the efficient storage and retrieval of timestamped data. With RedisTimeSeries, users can take advantage of enhanced capabilities for managing time series data, including aggregated views and range queries. The plugin offers various configuration options to enable the flexibility needed to connect securely to your Redis database, including support for Authentication, Timeouts, data type conversions, and TLS configurations. The underlying technology leverages Redis’ efficiency and scalability, making it an excellent choice for high-volume metric environments, where real-time processing is essential.

Configuration

Icinga

[[inputs.icinga2]]
  ## Required Icinga2 server address
  # server = "https://localhost:5665"

  ## Collected Icinga2 objects ("services", "hosts")
  ## Specify at least one object to collect from /v1/objects endpoint.
  # objects = ["services"]

  ## Collect metrics from /v1/status endpoint
  ## Choose from:
  ##     "ApiListener", "CIB", "IdoMysqlConnection", "IdoPgsqlConnection"
  # status = []

  ## Credentials for basic HTTP authentication
  # username = "admin"
  # password = "admin"

  ## Maximum time to receive response.
  # response_timeout = "5s"

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = true

Redis

[[outputs.redistimeseries]]
  ## The address of the RedisTimeSeries server.
  address = "127.0.0.1:6379"

  ## Redis ACL credentials
  # username = ""
  # password = ""
  # database = 0

  ## Timeout for operations such as ping or sending metrics
  # timeout = "10s"

  ## Enable attempt to convert string fields to numeric values
  ## If "false" or in case the string value cannot be converted the string
  ## field will be dropped.
  # convert_string_fields = true

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  # insecure_skip_verify = false

Input and output integration examples

Icinga

  1. Centralized Monitoring Dashboard: Integrate the Icinga2 plugin with a visualization tool to create a centralized monitoring dashboard that presents real-time statuses of all monitored services and hosts. This setup allows teams to quickly identify issues and to respond proactively, ensuring minimal downtime.

  2. Automated Incident Response: Use the metrics collected by the plugin to trigger automated incident response workflows. For instance, if a service is reported as critical, an automated system could notify relevant team members and even attempt to restart the service, reducing manual intervention and speeding resolution times.

  3. Service Reliability Reporting: Combine data from the Icinga with business reporting systems to generate insights on service reliability. By analyzing trends in service states over time, organizations can identify weak points in their infrastructure and improve service availability based on factual data.

  4. Cross-System Alerting: Leverage the collected metrics to integrate with various alerting systems. This could route notifications based on specific Icinga2 service states to different departments or teams depending on their roles, enabling tailored and timely responses to potential issues in the infrastructure.

Redis

  1. Monitoring IoT Sensor Data: Utilize the Redis Telegraf plugin to collect and store data from IoT sensors in real-time. By connecting the plugin to a RedisTimeSeries database, users can analyze trends in temperature, humidity, or other environmental factors. The ability to query historical sensor data efficiently will aid in predictive maintenance and help in resource management.

  2. Financial Market Data Aggregation: Employ this plugin to track and store time-sensitive financial data from various sources. By sending metrics to Redis, financial institutions can aggregate and analyze market trends or price changes over time, providing them with actionable insights derived from reliable time series analytics.

  3. Application Performance Monitoring (APM): Implement the Redis plugin for gathering application performance metrics such as response times and CPU usage. Users can visualize their application’s performance over time with RedisTimeSeries, allowing them to identify bottlenecks and optimize resource allocation swiftly.

  4. Energy Consumption Tracking: Leverage this plugin to monitor energy usage in buildings over time. By integrating with smart meters and sending data to RedisTimeSeries, municipalities or enterprises can analyze energy consumption patterns, helping to implement energy-saving measures and sustainability practices.

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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