The size limitations for messaging over binary streams depend on various factors, such as the programming language, libraries, underlying transport protocol, and system resources. Programming language and libraries: Some programming languages or libraries may impose limitations on the maximum size of data that can be read or written using a binary stream. However, these limitations are generally quite large and are unlikely to cause issues in most practical scenarios. Transport protocol: The underlying transport protocol used for transmitting binary data may impose its own limitations on message size. For example, when using HTTP, the maximum message size may be constrained by the server and client configurations. In practice, servers and clients can usually handle large messages, but it is essential to consider potential limitations and adjust the configurations accordingly. System resources: The available system resources, such as memory and storage, can also limit the size of messages that can be processed or transmitted using binary streams. Large messages may require more memory for buffering or processing, which may lead to issues if the system resources are insufficient. In such cases, it may be necessary to process the data in smaller chunks to avoid overloading the system. Interoperability and practical considerations: When exchanging messages between different systems or platforms, it is essential to consider the size limitations imposed by the receiving system. Large messages may cause issues if the receiving system is unable to handle them, so it is important to ensure that the message size is within the acceptable limits of all participating systems. In general, there is no fixed size limitation for messaging over binary streams, but it is crucial to consider the factors mentioned above and choose an appropriate message size based on the specific requirements and constraints of the system, transport protocol, and the participating parties. If you expect to work with large messages, it is advisable to implement mechanisms like chunking, streaming, or compression to minimize potential issues and optimize the data transmission process.