Elgato_dark/fleet
1
0
Fork 0
mirror of https://github.com/fleetdm/fleet synced 2026-04-21 13:37:30 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions 91
fleet/articles/data-platform.md
Eric b1ea2121da
Website: Add "About Fleet" section to case study article template page. (#43086) 
Closes https://github.com/fleetdm/fleet/issues/41798


Changes:
- Added an "About Fleet" section to the case study article template
page.
- Removed the "About Fleet" sections from case study articles.



FYI @irenareedy: After this change is merged, you will not need to
include an "About Fleet" section on new case study articles.
2026-04-06 17:28:36 -05:00

3.2 KiB
Raw Blame History

Data platform company cuts $5–6M in hardware costs with API-driven device management

A global data platform company supports a large workforce across macOS, Windows, Linux, iOS, and Android. With device count matching its workforce, the team needed a scalable way to manage hardware, security, and compliance.

Fleet helps the company manage devices through APIs and stream endpoint telemetry directly into its own data platform.

At a glance

  • Industry: Data cloud technology

  • Devices managed: ~10,000-11,000 devices

  • Primary requirements: API and GitOps support, multi-OS management, real-time data streaming

  • Previous challenge: Legacy tools were expensive and did not support Linux and BYOD well

The challenge

Before Fleet, the company relied on tools that worked well for macOS but did not support Linux, Android, and BYOD with the same depth.

The team also wanted to move away from expensive licensing models and manual UI-driven workflows. Linux devices and BYOD systems were especially hard to manage, which limited visibility across the environment.

The evaluation criteria

The team focused on three priorities:

  1. API and GitOps support
    Remove manual operations and manage workflows through code.

  2. Multi-OS management
    Support macOS, iOS, Android, Windows, and Linux from one platform.

  3. Real-time data streaming
    Send endpoint telemetry directly into the company’s internal data platform.

The solution

Fleet provided the team with a platform that aligns with its API-first engineering model.

The company uses Fleet for asynchronous file verification and streams endpoint telemetry directly into its internal data environment. This allows security teams to query, model, and act on endpoint data within minutes.

Fleet inventory data also helps the company make better hardware decisions, including identifying overprovisioned devices and improving refresh planning.

The results

Fleet improved both operational efficiency and cost control.

  • Major hardware savings: Fleet data helped identify opportunities that saved an estimated $5-6 million in hardware costs.

  • Better multi-OS visibility: Linux and BYOD systems now fit into the broader management strategy.

  • Faster security analysis: Streaming telemetry shortens the gap between data collection and response.

Why they recommend Fleet

For this company, the biggest benefit is API-driven efficiency.

Fleet gives the team one platform for automation, cross-platform management, and real-time endpoint data.