The document discusses the key components of an IoT application architecture. It includes IoT devices that collect data, IoT edge devices that preprocess data close to the network edge, ingestion to receive and store device data, provisioning to configure and authorize devices, and hot/warm/cold paths for real-time, intermediate, and historical data processing respectively. It also covers management of IoT devices, integration with enterprise systems, and monitoring of the overall IoT system.

1. IoT Application Architecture

2. IoT Application
Architecture
• The IoT application architecture
represents the overall structure and
components of your IoT solution

3. Devices
• IoT devices are physical objects
equipped with sensors, actuators, and
communication interfaces. These devices
collect data from the physical world, such
as temperature, humidity, motion, or
location, and transmit it to an IoT platform
for processing.

4. IoT Edge
• IoT Edge refers to the computing devices
or gateways situated close to the IoT
devices, typically at the edge of the
network. These devices can preprocess
data locally before transmitting it to the
central IoT platform. Edge computing
reduces latency and minimizes data
transfer costs.

5. Ingestion
• Ingestion is the process of receiving,
collecting, and storing data from IoT
devices. It involves data acquisition,
validation, and transformation before data
is stored in a database or data lake for
further processing.

6. Provisioning
• Provisioning involves configuring and
authorizing IoT devices to connect to the
IoT platform securely. It ensures that only
authorized devices can access the
network and transmit data.

7. Hot Path
• The hot path in IoT refers to the real-time
processing and analysis of incoming
data. It involves immediate actions based
on the data, such as triggering alerts,
notifications, or immediate control
actions.

8. Warm Path
• The warm path is the intermediate layer
between the hot path and cold path. It
involves data processing that may not
require immediate action but is still
processed relatively quickly for
operational insights or near real-time
analytics.

9. Cold Path
• The cold path is where historical data is
stored and analysed for long-term
insights, trends, and predictive analytics.
It is used for batch processing and deep
analysis of accumulated data.

10. Management
• IoT device management encompasses
activities like device onboarding,
monitoring, software updates, and
security management. Effective device
management ensures the health and
security of the IoT ecosystem.

11. Business
Integration
• IoT applications often need to integrate
with existing enterprise systems, such as
Customer Relationship Management
(CRM), Enterprise Resource Planning
(ERP), or Supply Chain Management
(SCM) systems. This integration helps
organizations derive business value from
IoT data.

12. Monitoring
• Monitoring in IoT involves tracking the
health and performance of IoT devices,
gateways, and the overall system. It
includes real-time alerts, diagnostics, and
predictive maintenance to ensure optimal
functionality.