MIS603 Microservice Architecture

Introduction:

Microservices architecture or microservices are an architectural approach that is cloud native. Here, one application is developed of various independently deployable and loosely coupled smaller services or components. This analysis intends to understand principles behind microservice architecture and the reason why specific decisions are done in a particular manner. Thus a bridge between business and IT will be developed. For this, the following study evaluates its key concepts and principles. Apart from that, its different benefits and drawbacks are also explored here.

Key principles and concepts:

The key principles include interface segregation. The style of microservice architecture is a specialization of architectures that are service-oriented. Here, service contracts or design of interfaces are of utmost significance. Next, interface segregation is to be realized for microservices. Here, the aim of interface segregation for microservices is that all kind of frontend selects service contracted best suiting the needs (Nadareishvili et al., 2016). Then, there is deployability. Throughout the entire history of software, design effort emphasized design decisions associated with implementation units or modules that are organized and the way runtime elements of components are interacting. Further, there is achieving good deployability. Here, automation is the key. This includes employing technologies and tools wisely. It is an area where most changes are constantly seen for rise of microservices. Moreover, it is event-driven. The architecture is a style for developing backend services activated typically through one of the common connectors (Newman, 2015). This includes HTTP call RPC like calling through platform-specific elements like GraphQL or gRPC. Asynchronous message is the one that goes in a line within message broker.

Regarding its concepts, firstly, cloud computing has favoured applications scalability through applications of idea behind dynamic elasticity. Here, microservices permits optimal level of adjustment of computational resource variation for suiting fluctuation of demand. As an application is created through assimilating microservice and every microservice is liable for a particular set of functionalities, just microservice associated to maximum functionalities used to require to get replicated. In this way, microservice approach to create application has been saving computational resources along with cost reduction. This is through permitting more precise adjustment between use of resources and demand curve (Linthicum, 2019). In this way, microservice approach to create application has been saving computational resources and reduction of costs. This is through more precise adjustment between demand curve along with an application of those resources. The next motivation to use microservices is related to present requirement of digital busies. This is to constantly improve the systems. This permits to break down problems and provide update just changed functionality despite working on residual part of their applications. Apart from that, it is complicated to maintain structure of application in due time. This particularly with respect to modularity. Thus maintaining huge applications are turning complicated and frequent corrections of specific part impair other functionalities. Thus least changes demand more time. Further, the third motivation to adopt microservice is related to tolerance of errors in a distributed model. Under one system, mistakes of specific functionality make applications unavailable entirely (Stone, 2019). Furthermore, within microservice model, mistakes of specific functionality never meant that other functionalities available are stopped minimizing effect of that error. Further, they have particular basic properties apart from characteristic architectural ideas permitting them to extract best outcomes from their approach to software development.

Understanding advantages and disadvantages:

The benefits of microservices are effective to convince few huge enterprise players in adopting their methodology. They provide improved fault tolerance. Greater applications stay mainly unaffected due to failure of one single module. They have technology lock-in and eliminate vendor. They deliver flexibility for attempting a new stack of technology on individual services as required. Here, many dependencies would not be there and change to be rolled back will be simpler. They have more flexibility with less code in play (Cloud, 2019). Further, there is ease of understanding. Having additional simplicity here, developers can understand functionality better for their service. Next, they have faster and smaller deployments. Here, smaller scope ad codebases with quicker deployments permit to begin exploring advantages of constant implementation. At last, there is scalability. As services are different, one can more effectively scale needed one at a suitable time, unlike the entire application (IBM Cloud Education, 2019). As properly done, it affects cost savings.

However, there are problems with extra complexity for deploying inter-process communication mechanism present between services. Further, writing automated tests having numerous services is problematic. This is complicated to generate constant testing environments. This needs a great automation level for managing examples of various kind of services within production. Here, everybody needs to manage eventual constancy to maintain string consistency is highly complicated. Again, managing numerous databases and transactions are complicated. Besides, inter-process calls have been slow and debugging is complicated (Ruparelia, 2016). Further, cost of production monitoring is greater and formal documentation has been overhead with a lack of governance. Further, testing, managing and understanding dependencies are complicated. Again, software patterns never provide any uniform level of service abstraction. There is a rise in flow of message having various microservices, along with hampering performance. Complex and rich business logic in enterprise applications is complicated to maintain microservice architecture (Stephens, 2015). Introspection in things happening between testing and microservice around overall architecture is complicated. They can be considered different small monoliths. Their services are independent and separate. However, their logic of business is damaged through one address space. As requirements get changed, one never need any microservice for a new feature and then write again and include it in existing service. In any architecture, having various microservices, is a complicated decision.

Conclusion:

On weighing pros and cons of microservices, it has been clear why business go for decoupling unruly monoliths. The first-hand benefits of microservices are understood and it is evaluated how much influence this transformation would be having on culture, efficiency and performance. Nevertheless, the risks and threats related to these complex initiative have been required to understand. As trends of application development are continuing, arguments for using microservices and leveraging conventional architecture turn to be more pronounced. In the ending, developers should perform their due diligence and evaluate what works for their particular use cases.

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