Slide 3 of 5

Key takeaways

What you learned

  1. Fleet Management = Central control for all your collectors

  2. Collectors register with remotecfg block and appear in inventory

  3. Configuration pipelines remotely configure without touching machines

  4. Attribute matching targets pipelines to specific collector groups

  5. Local + remote configs run in parallel, isolated from each other

  6. Force multiplier for Level 1 that makes existing capabilities scale

The core workflow

Fleet Management workflow: Register, Monitor, Create, Assign, Repeat

What to do next

  • Expand your fleet — Register more collectors as you deploy them
  • Create pipelines — Build configs for your specific monitoring needs
  • Refine attributes — Adjust your schema as patterns emerge
  • Explore dashboards — Use health data to catch issues early

Script

Let’s recap the key takeaways from this course.

First, Fleet Management is a central control plane for your collectors. It solves the problem of managing configurations and monitoring health across many collectors.

Second, collectors register using the remotecfg block and appear in your inventory. From there, you can monitor health, view logs, and troubleshoot issues.

Third, configuration pipelines are how you configure collectors remotely. You create them in the Fleet Management interface and assign them to collectors using attribute matching.

Fourth, attribute matching lets you target configurations to specific groups of collectors. Use attributes like environment, region, or team to organize your fleet.

Fifth, local and remote configurations run in parallel and are isolated. This, along with rollback features in the application, makes it safe to experiment with remote configuration.

And finally, Fleet Management is a force multiplier for Level 1 observability. It doesn’t add new capabilities—it makes your existing capabilities manageable at scale.

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