Latest revision as of 16:02, 14 July 2026

Speed Up Your Deployment

Integrating ATLAS into your scenario doesn't have to start from scratch. This section brings together sample integrations with third-party software — ready to import, test and adapt — to reduce the time between "unit connected" and "application up and running".

Each example hides the complexity of ATLAS's native stack (MQTT, Node-RED, InfluxDB, Grafana, Mosquitto) behind reusable and configurable blocks, so the development team can focus on the application rather than on the plumbing.

Who it's for

Profile	What they gain
Integrator / customer just starting out	A validated starting point, without needing to know ATLAS's internal architecture.
Developer who wants to prototype	Ready-made blocks for reading inputs, controlling outputs and visualising data in minutes.
Team evaluating ATLAS	A quick way to see the device communicating with tools they already know.

How it works

All examples share the same principles:

They are built on ATLAS's MQTT architecture — nothing bypasses the Peripherals Managers; the examples communicate through the standard topics.
They are additive — they add an interface/integration layer and do not replace the native stack.
They are a starting point, not a black box — the code is exposed and can be changed as needed.
They come with installation and validation steps — each subpage includes prerequisites, start-up and a final checklist.

Available integrations

Integration	What it demonstrates	Ideal for
Node-RED Simplified Flows	Demonstration flows with reusable subflows for AI1..AI4, AO1/AO2 and DI/DO, with Dashboard 2.0. Adds a layer of abstraction between the user and the stack.	Rapid prototyping, application logic and internal dashboards.
Home Assistant	Home Assistant in a Docker container, running alongside the native stack, with MQTT entities for ATLAS inputs and outputs.	Interface/integration with the Home Assistant automation and visualisation ecosystem.

In the pipeline

Candidates for future examples (subject to priority):

Local Grafana / shared dashboards
InfluxDB

Modbus RTU and TCP/IP

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+{{DISPLAYTITLE:Fast Deploy}}
 = Speed Up Your Deployment =
 Integrating ATLAS into your scenario doesn't have to start from scratch. This section brings together sample integrations with third-party software — ready to import, test and adapt — to reduce the time between "unit connected" and "application up and running".
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 === Who it's for ===
-{| class="wikitable"
+{| class="wikitable tech-table"
 !Profile
 !What they gain
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 === Available integrations ===
-{| class="wikitable"
+{| class="wikitable tech-table"
 !Integration
 !What it demonstrates
 !Ideal for
 |-
-|[[SENSBLUE ATLAS/Node-RED|Node-RED Simplified Flows]]
+|[[SENSBLUE ATLAS/Node-RED|'''<u>Node-RED Simplified Flows</u>''']]
 |Demonstration flows with reusable subflows for AI1..AI4, AO1/AO2 and DI/DO, with Dashboard 2.0. Adds a layer of abstraction between the user and the stack.
 |Rapid prototyping, application logic and internal dashboards.
 |-
-|[[SENSBLUE ATLAS/Home Assistant|Home Assistant]]
+|[[SENSBLUE ATLAS/Home Assistant|'''<u>Home Assistant</u>''']]
 |Home Assistant in a Docker container, running alongside the native stack, with MQTT entities for ATLAS inputs and outputs.
 |Interface/integration with the Home Assistant automation and visualisation ecosystem.