Practical examples: building effective cloud-native applications
Now that we know what points to consider while building a cloud-native application, let’s consider a few examples to understand them:
- Internet of Things (IoT) sensor data analytics platform: Imagine you’re developing an IoT platform that collects data from thousands of sensors deployed in various locations. This platform needs to efficiently gather, process, and analyze sensor data in real time to provide insights and trigger actions. In this scenario, a combination of programming languages and frameworks can be utilized:
- Java for scalability: Java is known for its robustness and scalability. It could be used for building the backend services of the IoT platform, especially when dealing with a large number of sensor data inputs. The use of Java’s multithreading capabilities can help handle concurrent data streams effectively.
- Apache Kafka for data streaming: Apache Kafka, often used with Java...
