Starlink integration docs

Starlink→Datadog

Integration Hub · Tools

Interactive wizards — plan tags, simulate fleet bandwidth, and generate Datadog Agent config. Import JSON between tools and export reports for your team.

Recommended rollout path

  1. 1OnboardingRead
  2. 2tagging strategyPlan tags
  3. 3payload simulatorSimulate volume
  4. 4Datadog config generatorGenerate config
  5. 5ConfigurationDeploy

All tools · use in workflow order

1
Strategy wizard

Starlink tagging strategy

Before you write tags — align execs and engineers on fleet metadata.

Industry playbooks for executives and architects — Google SRE and Datadog tagging best practices, interactive terminal tag explorer, and SignalWeave-branded strategy reports.

  • Industry-first step-by-step wizard
  • Curated playbooks & recommended tags
  • Google SRE + Datadog best practices
  • Interactive review + playbook export
Plan tags
2
Bandwidth planning

Metrics payload simulator

After tags — size uplink, Agents, and collection interval for your fleet.

Model fleet bandwidth by industry, asset type, terminal count, and metric groups. See subnets, Agent placement, and uplink impact per collection cycle.

  • Import strategy JSON
  • Configurable min_collection_interval
  • Metric group toggles (~1.1 KB/cycle baseline)
  • Per terminal, asset & fleet volume tiers
  • Integration pricing + industry value story
Simulate volume
3
Engineering

Datadog config generator

After simulation — generate conf.yaml and IaC from your strategy JSON.

Import your tagging strategy JSON and generate highlighted conf.yaml plus IaC exports (Ansible, Terraform, Chef, Puppet).

  • Strategy JSON import
  • IP list + highlighted conf.yaml
  • Collection interval per instance
  • Ansible, Terraform, Chef, Puppet export
Generate config
Need the docs?

Tools generate plans and config — guides explain how to deploy, validate, and operate the integration in production.

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