awaBerry for IoT & Edge Computing Teams
Who This Is For
Built for Teams Running Distributed Device Fleets
You deploy and manage fleets of devices in the field — industrial sensors, Raspberry Pi nodes, edge compute boxes, embedded Linux systems. These devices collect data, run local inference, or control physical processes. They are geographically distributed, often behind NAT and firewalls, and managing them at scale is a constant operational challenge.
The Challenges
The Problems You Face
SSH at Scale Is Unmanageable
Managing 50 or 500 edge devices via individual SSH sessions is not a workflow — it is a nightmare. Each device has its own IP, its own network configuration, and its own quirks.
Devices Behind NAT Are Unreachable Without Complex Setup
Most edge devices sit behind NAT, behind a customer's firewall, or on a mobile data connection with no fixed IP. Reaching them requires per-site VPN configuration or complex tunneling infrastructure.
Edge Data Does Not Flow Automatically to Central Systems
Sensors generate data. Getting it from 100 field devices to a central database without manual intervention requires per-device scripts, per-device credentials, and brittle per-device maintenance.
Fleet Monitoring Is Reactive, Not Proactive
You find out a device is misconfigured, offline, or generating anomalous data when someone reports a problem — not before. By then, the damage is already accumulating.
How awaBerry Helps
Centralized Fleet Management & Automation
awaBerry transforms a distributed device fleet from an SSH management challenge into a centrally observable, automated, and programmatically controllable infrastructure.
awaBerry Anywhere — Every Device, One Dashboard
Register any Linux device — regardless of network topology — into your centralized dashboard. No static IP, no open inbound ports, no VPN per site. SSH terminal, Web-to-Local tunnels for device-local UIs, integrated file management for firmware and config pushes — all in one place.
Explore Anywhere →Smart Automation — Fleet Automation From Plain English
Describe your data collection pipeline once — the AI engine generates scripts that run on each device, normalize outputs, and push to your central database on schedule. Anomaly detection on edge logs. Fleet-wide maintenance: update packages, rotate logs, restart services across all devices from a single automation definition.
Explore Automation →Agentic API — Programmatic Fleet Orchestration
Assign a single API project to your entire device fleet. One API call executes a command, deploys a script, or triggers a data pull across all registered devices simultaneously. Scoped vendor access via Project Key. MCP integration for your AI orchestration layer.
Explore Agentic API →Why It Works
Two Products. One Unified Platform.
Any Device, Any Network — One Dashboard
awaBerry Anywhere registers devices behind NAT, mobile data connections, and customer firewalls using only outbound HTTPS. Your entire fleet is reachable via SSH, web tunnel, or file management from a single UI — without touching a firewall rule.
Fleet Automation Without Per-Device Scripting
Describe your pipeline once. The AI engine generates scripts that deploy across your entire fleet. Every subsequent execution is pure local code — zero AI tokens, zero ongoing overhead. From data ingestion to anomaly alerting.
Summary
From SSH Juggling to First-Class Fleet Management
awaBerry transforms a distributed device fleet from an SSH management challenge into a centrally observable, automated, and programmatically controllable infrastructure — without VPNs, without open ports, and without per-device scripting overhead. Deploy once; manage forever.
