There are several assumptions that are often made when developing an IoT application platform. These assumptions include:

1. Connectivity: It is assumed that the IoT application platform will be able to connect to a wide range of devices and sensors, regardless of the type or manufacturer. This requires the use of standardized protocols and interfaces, such as MQTT, CoAP, or HTTP, to ensure interoperability between different devices and platforms.
2. Data collection: The IoT application platform is designed to collect data from sensors and devices in real-time. This requires the platform to be able to handle large volumes of data, process it quickly, and store it securely.
3. Analytics: The platform is expected to provide real-time analytics and insights based on the data collected. This requires the use of machine learning algorithms, predictive analytics, and other advanced analytics techniques to identify patterns and anomalies in the data.
4. Security: The platform must be designed with security in mind to protect sensitive data from unauthorized access or breaches. This includes secure data transmission, device authentication, access control, and encryption of data at rest.
5. Scalability: The platform is expected to scale to accommodate an increasing number of devices and users. This requires the use of a distributed architecture and cloud-based infrastructure to ensure that the platform can handle the growing workload.
6. Customization: The IoT application platform should be flexible and customizable to meet the unique needs of different industries and use cases. This requires the use of modular and extensible architecture that allows for the integration of custom applications and services.
7. User interface: The platform should provide an intuitive and user-friendly interface for developers, administrators, and end-users. This requires the use of responsive design, dashboards, and visualization tools to make it easy to monitor and interact with the IoT devices and data.

Deploying an IoT platform involves a variety of system features and requirements. Here are some of the key considerations:

1. Scalability: The platform should be able to scale horizontally to accommodate a growing number of devices and users. This includes the ability to handle a large volume of data in real-time.
2. Security: Security is a critical feature of any IoT platform. The platform should use advanced security measures such as encryption, access controls, and firewalls to protect data and devices.
3. Interoperability: The platform should support multiple protocols and standards to ensure interoperability between devices and services. This includes support for different communication protocols such as MQTT, CoAP, and HTTP.
4. Data Analytics: The platform should be able to analyze data generated by IoT devices to provide insights and value to users. This involves the ability to process, store, and analyze large volumes of data in real-time.
5. Device Management: The platform should provide device management features such as device configuration, firmware updates, and remote monitoring to ensure the devices are operating correctly.
6. Cloud-Based Infrastructure: The platform should be designed to run on cloud-based infrastructure to ensure high availability, scalability, and flexibility.