DNS and Librato Integration

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

info

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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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 Librato plugin for Telegraf is designed to facilitate seamless integration with the Librato Metrics API, allowing for efficient metric reporting and monitoring.

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.

Librato

The Librato plugin enables Telegraf to send metrics to the Librato Metrics API. To authenticate, users must provide an api_user and api_token, which can be acquired from the Librato account settings. This integration allows for efficient monitoring and reporting of custom metrics within the Librato platform. The plugin also utilizes a source_tag option that can enrich the metrics with contextual information from Point Tags; however, it does not currently support sending associated Point Tags. It is essential to note that any point value sent that cannot be converted to a float64 type will be skipped, ensuring that only valid metrics are processed and sent to Librato. The plugin also supports secret-store options for managing sensitive authentication credentials securely, facilitating best practices in credential management.

Configuration

DNS

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

  # network = "udp"

  # domains = ["."]

  # record_type = "A"

  # port = 53

  # timeout = "2s"

  # include_fields = []
  

Librato

[[outputs.librato]]
  ## Librato API Docs
  ## http://dev.librato.com/v1/metrics-authentication
  ## Librato API user
  api_user = "[email protected]" # required.
  ## Librato API token
  api_token = "my-secret-token" # required.
  ## Debug
  # debug = false
  ## Connection timeout.
  # timeout = "5s"
  ## Output source Template (same as graphite buckets)
  ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
  ## This template is used in librato's source (not metric's name)
  template = "host"

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.

Librato

  1. Real-time Application Monitoring: Utilize Librato to collect performance metrics from a web application in real-time. This setup involves sending response times, error rates, and user interactions to Librato, allowing developers to monitor the application’s health and performance metrics closely. By analyzing these metrics, teams can quickly identify and address performance bottlenecks or application failures before they impact end users.

  2. Infrastructure Metrics Aggregation: Leverage this plugin to gather and send metrics from various infrastructure components, such as servers or containers, to Librato for centralized monitoring. Configuring the plugin to send CPU, memory usage, and disk I/O metrics enables system administrators to have a comprehensive view of infrastructure performance, assisting in capacity planning and resource optimization strategies.

  3. Custom Metrics for Business Operations: Feed business-specific metrics, such as sales transactions or user sign-ups, to the Librato service using this plugin. By tracking these custom metrics, businesses can gain insights into their operational performance and make data-driven decisions to enhance their strategies, marketing efforts, or product development initiatives.

  4. Anomaly Detection in Metrics: Implement monitoring tools that utilize machine learning for anomaly detection. By continuously sending real-time metrics to Librato, teams can analyze trends and automatically flag unusual behavior, such as sudden spikes in latency or unusual traffic patterns, enabling timely intervention and troubleshooting.

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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