Microservices architecture has changed the way we develop software. It allows us to make our systems bigger or smaller as needed and we can update each part of the system without affecting the parts. A lot of people use Java to build microservices with a tool called Spring Boot for applications that are used on the cloud. Sometimes these systems can be slow or use too many resources, which can cause problems. This study looks at how Java-based microservices work when they are used on the cloud. We look at things like how it takes for the system to respond how much work it can handle and how much memory and CPU it uses. We also look at how it takes for data to travel over the network. We compare two ways that services can talk to each other: one way is like having a conversation, where one person talks and then the other person responds and the other way is like sending a message, where one person sends a message and then the other person responds when they can. We also look at how using containers and automatically adding or removing resources affects the system. The results of our study help us understand what can cause problems in the system and how we can make it work better. We focus on Java-based microservices that are used on the cloud. We want to know how things, like how the system is designed and how it is set up affect how well it works when it is being used a lot. We look at things like how long it takes for the system to respond how much work it can handle and how much memory and CPU it uses. We use Spring Boot to build our microservices. We use containers, like Docker to run them. We also use tools to help us manage the containers. We test the system with a medium and large number of users to see how it works under different conditions. We compare the two ways that services can talk to each other to see which one works better. What we found out is that microservices can be very good because they can be scaled up or down as needed and they can help prevent problems from spreading to parts of the system. If we break the system into too many small parts and have them talk to each other in a way that is like having a conversation it can cause delays and use too many resources. On the hand if we use the other way of talking, where one service sends a message to another service and then the second service responds when it can it can help the system work better and prevent problems when a lot of users are using it.
Represent the deployment environment (Cloud Computing), Highlight the Java-specific implementation (Java-Based Microservices), Focus on system performance measurement (Performance Analysis). Indicate deployment technology (Containerization), Emphasize scalability mechanisms (Auto-Scaling).
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