Hashicorp Nomad and Datadog Integration

Input and output integration overview

This plugin allows users to collect metrics from Hashicorp Nomad agents in distributed environments.

The Datadog Telegraf Plugin enables the submission of metrics to the Datadog Metrics API, facilitating efficient monitoring and data analysis through a reliable metric ingestion process.

Integration details

Hashicorp Nomad

The Hashicorp Nomad input plugin is designed to gather metrics from every Nomad agent within a cluster. By deploying Telegraf on each node, it can connect to the local Nomad agent, typically available at ‘http://127.0.0.1:4646’. With this setup, users can systematically collect and monitor metrics related to the performance and status of their Nomad environment, ensuring they maintain a healthy and efficient cluster operational state. This plugin enables visibility into the operational aspects of Nomad, which is essential for maintaining reliable cloud infrastructure.

Datadog

This plugin writes to the Datadog Metrics API, enabling users to send metrics for monitoring and performance analysis. By utilizing the Datadog API key, users can configure the plugin to establish a connection with Datadog’s v1 API. The plugin supports various configuration options including connection timeouts, HTTP proxy settings, and data compression methods, ensuring adaptability to different deployment environments. The ability to transform count metrics into rates enhances the integration of Telegraf with Datadog agents, particularly beneficial for applications that rely on real-time performance metrics.

Configuration

Hashicorp Nomad

[[inputs.nomad]]
  ## URL for the Nomad agent
  # url = "http://127.0.0.1:4646"

  ## Set response_timeout (default 5 seconds)
  # response_timeout = "5s"

  ## Optional TLS Config
  # tls_ca = /path/to/cafile
  # tls_cert = /path/to/certfile
  # tls_key = /path/to/keyfile

Datadog

[[outputs.datadog]]
  ## Datadog API key
  apikey = "my-secret-key"

  ## Connection timeout.
  # timeout = "5s"

  ## Write URL override; useful for debugging.
  ## This plugin only supports the v1 API currently due to the authentication
  ## method used.
  # url = "https://app.datadoghq.com/api/v1/series"

  ## Set http_proxy
  # use_system_proxy = false
  # http_proxy_url = "http://localhost:8888"

  ## Override the default (none) compression used to send data.
  ## Supports: "zlib", "none"
  # compression = "none"

  ## When non-zero, converts count metrics submitted by inputs.statsd
  ## into rate, while dividing the metric value by this number.
  ## Note that in order for metrics to be submitted simultaenously alongside
  ## a Datadog agent, rate_interval has to match the interval used by the
  ## agent - which defaults to 10s
  # rate_interval = 0s

Input and output integration examples

Hashicorp Nomad

1. Cluster Health Monitoring: Use the Hashicorp Nomad plugin to aggregate metrics across all nodes in a Nomad deployment. By monitoring health metrics such as allocation status, job performance, and resource utilization, operations teams can gain insights into the overall health of their deployment, quickly identify and resolve issues, and optimize resource allocation based on real-time data.

2. Performance Analytics for Job Execution: Leverage the metrics provided by Nomad to analyze job execution times and resource consumption. This use case enables developers to adjust job parameters effectively, optimize task performance, and illustrate trends over time, ultimately leading to increased efficiency and reduced costs in resource allocation.

3. Alerting on Critical Conditions: Implement alerting mechanisms based on metrics scraped from Nomad agents. By setting thresholds for critical metrics like CPU usage or failed job allocations, teams can proactively respond to potential issues before they escalate, ensuring higher uptime and reliability for applications running on the Nomad platform.

4. Integration with Visualization Tools: Use the data collected by the Hashicorp Nomad plugin to feed into visualization tools for real-time dashboards. This setup allows teams to monitor cluster workloads, job states, and system performance at a glance, facilitating better decision-making and strategic planning based on visual insights into the Nomad environment.

Datadog

1. Real-Time Infrastructure Monitoring: Use the Datadog plugin to monitor server metrics in real-time by sending CPU usage and memory statistics directly to Datadog. This integration allows IT teams to visualize and analyze system performance metrics in a centralized dashboard, enabling proactive response to any emerging issues, such as resource bottlenecks or server overloads.

2. Application Performance Tracking: Leverage this plugin to submit application-specific metrics, such as request counts and error rates, to Datadog. By integrating with application monitoring tools, teams can correlate infrastructure metrics with application performance, providing insights that enable them to optimize code performance and improve user experience.

3. Anomaly Detection in Metrics: Configure the Datadog plugin to send metrics that can trigger alerts and notifications based on unusual patterns detected by Datadog’s machine learning features. This proactive monitoring helps teams swiftly react to potential outages or performance degradation before customers are impacted.

4. Integrating with Cloud Services: By utilizing the Datadog plugin to send metrics from cloud resources, IT teams can gain visibility into cloud application performance. Monitoring metrics like latency and error rates helps with ensuring service-level agreements (SLAs) are met and also assists in optimizing resource allocation across cloud environments.

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.