How to Monitor Multiple Bambu Lab Printers at Once
Bambu Lab makes excellent printers. The software that ships with them — Bambu Studio and Handy — is designed for one printer at a time. If you have five, ten, or twenty printers, you've hit the ceiling.
Here's the problem in concrete terms: with Handy, you can check one printer's status. You tap into the app, see the live view, check the layer count, and move on. Then you do that for each printer. That process doesn't scale. At twenty printers it's a full-time job just to know what's running.
This guide covers how to get a real-time view of your whole Bambu fleet — everything printing, everything idle, everything erroring — without checking each one individually.
Why Bambu's native tools cap out at a few printers
Bambu Studio and Handy are built around the concept of a single device. The architecture makes sense for their primary user: someone with one or two printers who wants polished, reliable single-printer control.
For a farm, you need different primitives:
- A list view of all printers and their current state
- Aggregated alerts when any printer needs attention
- A way to act on the fleet, not just individual machines
None of these exist natively in Bambu's software. You're expected to manage each printer separately.
The local-network approach: HiveLink
Bambu printers communicate over MQTT — a lightweight pub/sub protocol used widely in IoT. The printers advertise their state continuously to a local broker. Bambu Studio and Handy subscribe to this broker to show you live status.
HiveLink is a small agent that runs on any computer or Raspberry Pi on your network. It subscribes to the same MQTT feeds your printers are already broadcasting and aggregates the state from all your printers into a single stream that feeds the Print Hive dashboard.
What this means in practice:
- No firmware changes to your printers
- No cloud dependency for local status (HiveLink works even if your internet is down)
- Camera frames stay on your network — they're never uploaded to the cloud
- Setup takes under 10 minutes
Step-by-step: get your fleet on one screen
1. Install HiveLink
HiveLink runs on macOS, Windows, Linux, or a Raspberry Pi. Pick the machine on your network with the best uptime — a Raspberry Pi works well for 24/7 monitoring.
curl -fsSL https://get.printhiv3d.com | sh
The installer will guide you through the rest. HiveLink discovers Bambu printers on your local network automatically via mDNS.
2. Authorize each printer
Each Bambu printer has an access code — a short numeric code that authorizes local network access. You'll find it on the printer's touchscreen under:
Settings → General → Device Access Code
Enter the access code for each printer in HiveLink. This is a one-time step per printer. Once authorized, the printer's state streams continuously.
3. Open the fleet dashboard
Once HiveLink is running and printers are authorized, open your Print Hive dashboard. You'll see every printer listed with:
- Current status (printing, idle, paused, error)
- Current layer / total layers
- Time remaining
- Bed and nozzle temperatures
- Filament loaded (color + material)
- Thumbnail of the current print job
All of this updates in real time. No refreshing, no clicking between printers.
What you get beyond basic monitoring
Fleet visibility is the foundation, but once all your printers are connected, a few other things become possible:
Failure detection. HiveLink captures frames from your printers' cameras. Print Hive analyzes these frames continuously using on-device ML inference — looking for spaghetti, layer shifts, and adhesion failures. When it detects something, you get alerted immediately. The analysis runs locally on the machine running HiveLink; camera frames aren't sent to any server.
Idle detection. You can see at a glance which printers have finished and are sitting idle. In a busy farm, printers going idle unnoticed is a throughput killer. A single screen showing idle state eliminates the need to walk the floor.
Job queue. Once you're monitoring the fleet, the natural next step is routing jobs to it. Print Hive's job queue lets you send a job to "the farm" rather than a specific printer. It routes to whichever printer has the right filament loaded and nozzle size, is currently idle, and has the build volume for the job.
Common questions
Does this work with all Bambu Lab printers?
Yes — X1C, X1E, P1S, P1P, A1, A1 Mini, H2D, H2S, and their variants. HiveLink connects over the local MQTT protocol that all Bambu printers use.
What if my printers are on a different subnet?
HiveLink discovers printers via mDNS on the local subnet. If your printers are on a separate VLAN, you can add them manually by IP address. This is common in shops with managed switches that segment IoT traffic.
Does the Raspberry Pi need to stay on?
Yes — HiveLink needs to be running to stream state to the dashboard. A Pi running 24/7 uses about 3–5W. Most farms with more than 5 printers dedicate a Pi to HiveLink specifically.
What happens to the dashboard if HiveLink goes offline?
The dashboard will show the last known state for each printer until HiveLink reconnects. You'll see a "HiveLink disconnected" indicator. Local printing is unaffected — HiveLink is a monitoring agent, not a print controller.
Is the camera feed stored anywhere?
No. HiveLink captures frames locally for failure analysis. The frames are not stored on disk or uploaded to any server. Only the inference result (failure detected / not detected) is sent to Print Hive's backend.
The goal: no floor walking
A well-configured fleet monitor removes the need to check on printers individually. The system tells you when something needs attention. Everything else runs without interruption.
That's the delta between a five-printer setup you manage by feel and a twenty-printer farm you can actually run.
Print Hive is free for up to 2 printers. HiveLink installs with one command. Connect your farm →