Stop Configuring. Start Visualizing.
From ESP32 sensors to LoRaWAN nodes, get your data into Grafana dashboards in 60 seconds. Managed infrastructure included, no DevOps required.


From ESP32 sensors to LoRaWAN nodes, get your data into Grafana dashboards in 60 seconds. Managed infrastructure included, no DevOps required.


Every hour you spend configuring monitoring is an hour you aren't making progress.
4 Hours of Setup
240x Faster SetupData Loss at 14 Days
12x More History$200+ Cloud Bill
95% CheaperMonitor Linux servers, Docker containers, and edge devices without touching a config file.
Install the agent, name your source, and you're streaming data. Takes 45 seconds, not 4 hours.
No YAML. No .env files. We auto-detect running services and system metrics.
Your Grafana workspace is already provisioned with dashboards and your data flowing in.
Built-in support for Linux, Docker, and Systemd services out of the box.
Not just Linux servers. Monitor IoT devices, custom apps, and fleets from one unified interface.
Click to deploy harbor
Your personal data analyst. Query your data using plain English, no SQL required.
Stop exporting CSVs. Ask Harbor AI to run K-Means clustering, linear regressions, and get results in seconds.
Harbor AI generate charts, heatmaps, box plots, correlation matrix, and more tailored to your exact question.
Every answer includes the exact query used, so you can verify results, build dashboards, or reuse it anywhere.
It forecasts future values, highlights possible anomalies, and surfaces important trends before they impact you.
I found 1 critical anomaly today.
SELECT * FROM cargo_data
WHERE ship_id = 'cpu-percentage'
AND value < 2.0While your competitors waste weeks on DIY infrastructure, your sensors are already streaming to production dashboards.
Collect data from devices with low latency. We handle the handshake so you don't have to.
Stop configuring monitoring services. Get instant, managed Grafana dashboards, pre-connected to your data.
Zero-config monitoring for Linux & Docker. One command.
From 1 to 1 million devices without config changes.
No boilerplate. No auth logic. Just 4 lines of code and you're streaming data.
from harborscalesdk import HarborClient client = HarborClient( endpoint="https://harborscale.com/api/v2", api_key="sk_live_..." )
Harbor AI spots anomalies, trends, patterns, and correlation way faster than manual analysis.
I found a 1% CPU usage at 04:00 AM. This deviates from the normal pattern.
Stop hunting for compatible libraries. We support every major platform out of the box.
Hardware
Framework
Code
Firmware
Hardware
Native Code
System
Backend
Off-Grid
LoRaWAN
Smart Home
System
Environment
Agriculture
Data Feed
Tracking
Biometrics
Universal
Every hour you spend configuring Grafana is an hour your sensor data goes unread. Get your first data point live in 60 seconds, not 4 hours.

