DNS 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 DNS 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.

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Input and output integration overview

The DNS plugin enables users to monitor and gather statistics on DNS query times, facilitating performance analysis of DNS resolutions.

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

DNS

This plugin gathers DNS query times in milliseconds, utilizing the capabilities of DNS queries similar to the Dig command. It provides a means to monitor and analyze DNS performance by measuring the response time from specified DNS servers, allowing network administrators and engineers to ensure optimal DNS resolution times. The plugin can be configured to target specific servers and customize the types of records queried, encompassing various DNS features such as resolving domain names to IP addresses, or retrieving details from specific records as needed, while also clearly reporting on the success or failure of each query, alongside relevant metadata.

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

DNS

[[inputs.dns_query]]
  servers = ["8.8.8.8"]

  # network = "udp"

  # domains = ["."]

  # record_type = "A"

  # port = 53

  # timeout = "2s"

  # include_fields = []
  

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

DNS

  1. Monitor DNS Performance for Multiple Servers: By deploying the DNS plugin, a user can simultaneously monitor the performance of different DNS servers, such as Google DNS and Cloudflare DNS, by specifying them in the servers array. This scenario enables comparisons of response times and reliability across different DNS providers, assisting in selecting the best option based on empirical data.

  2. Analyze Query Times for High-Traffic Domains: Integrate the plugin to measure response times specifically for high-traffic domains relevant to an organization’s operations, such as internal services or customer-facing sites. By focusing on performance metrics for these domains, organizations can proactively address latency issues, ensuring service reliability and improving user experiences.

  3. Alerting on DNS Timeouts: Utilize the plugin in combination with alerting systems to notify administrators whenever a DNS query exceeds a defined timeout threshold. This setup can help in proactive troubleshooting of networking issues or server misconfigurations, fostering a rapid response to potential downtime scenarios.

  4. Gather Historical Data for Performance Trends: Use the plugin to collect historical data on DNS query times over extended periods. This data can be used to analyze trends and patterns in DNS performance, enabling better capacity planning, identifying periodic issues, and justifying infrastructure upgrades or changes to DNS architectures.

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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