Do You Make These Common Java Micro Services Mistakes

1. Do You Make These Common Java Microservices Mistakes? The art of programming is constantly changing and evolving. If you are thinking of switching from the traditional Java monolith architecture to microservice architecture, you must remember that the switch is all about scaling your development force while still maintaining a rapid development pace and high agility for your applications. When making the switch, you must know that this can be likened to decomposing a system into a microservice. With this process, you are able to give a single microservice as much autonomy as possible. Also, since one microservice has a specific task, it should be able to focus more on that type of service without affecting the entirety of the system. A dedicated team will have full ownership of the service and they have the opportunity to deploy or redeploy whenever they need to. They can make autonomous technology decisions and they can run their own infrastructure. Microservice architecture results in separate applications that are communicating remotely with each other. This type of architecture is noted to have an environment of highly distributed systems. Such system types have their own challenges. Here are some of the common mistakes associated with Java microservices. 1. Complex Communication One of the major mistakes in microservices is failing to recognize that remote communication must respect the fallacies of distributed programming. It is important to remember that it can be impossible to hide the complexity of communication. With microservices, you have to design for failure within your services to become successful in an environment where failure is recognized as the new normal. Such mistakes can be avoided, however, since there are common patterns as well as frameworks available to services to use. For instance, you are trying to use a website that is built with microservice, you click on one option and you instantly get an error while all the other parts of the website are working fine. This is a fast fail pattern and this error will not affect the entire functionality of the website when microservices are used. Fail fast is a vital part of microservices as this would prevent local errors from disabling the entire system. The patterns for this area can include bulkhead, circuit breaker, and service mesh, and these are patterns that are essential for the survival of distributed systems. 2. Asynchronicity Requires Attention Asynchronicity has often been noted as the best default in distributed systems, as this provides temporal decoupling. Temporal decoupling is associated with sending messages independently of the availability of the receiver. The message will be delivered as soon as the service provider becomes available without any additional magic.

2. While the problem associated with retrying is avoided, there are other issues that can arise like timeouts. If for whatever reason the request or the response becomes lost, this is a timeout. It is important for businesses to find ways how this can be monitored without interrupting all other parts of the system. 3. Distributed Transactions are Difficult A transaction is referred to as a series of operations performed in a certain manner. Basically, you begin a transaction, do various things, and then either roll back or commit to a transaction. Such transactions are referred to as ACID which means atomic, consistent, isolated, and durable. However, in a distributed system, it is not advisable to count on ACID transactions. While there may be protocols like XA or WS-Atomic transaction that can implement a two-phase commit or perhaps a sophisticated implementation just like Google Spanner, chances are these protocols can either be too expensive or too complicated. Also, these protocols simply do not scale. The most common trick that can help solve business transactions without the ACID concept is to make use of compensation. This would mean that you have the option to undo activities that were improperly executed in the past. It is important to note that workflow automation actually eases the handling of compensation because the workflow engine can reliably manage all necessary compensating activities. Avoid the Mistakes Using These Three Remedies So, now that we have identified the typical challenges of distributed systems, it is important to learn how you can avoid them with the remedies presented which are retires, timeouts, and compensations. All these remedies can actually be implemented with the use of lightweight workflow automation technology. However, if you want to leverage these remedies, each service provider must do their work. Get more experience by joining mphasis as Java developer .