Microservices Architecture Pattern: A Make Over to Mid-level Management
The digitalization of enterprises and industry ecosystems push new vying benchmarks in the sphere of new monetization/business infrastructures. The opportunities and challenges germinating hence, go beyond geographic and industry boundaries. Right at this point, scaling is the combative ingredient for any digital enterprises. Wads of companies today find themselves in a moment of transition in the desire to try niche technologies that can scale up to handle large networks and drift away from monolithic all-in-one solutions.
Organizations, such as Amazon, Netflix, and eBay have embarked upon this change and adopted the Microservices Architecture pattern. The principal was to split their on-boarded application into the sets of smaller, interconnected services instead of working through a monolithic application. However, naysayers take the idea of adopting Microservices Architecture pattern as just a rebranding of SOA. However, despite the hype and the skepticism, it has proven its significance on the ground—especially when it comes to agility, code and processes decoupling, and the delivery of complex enterprise applications.
There can be innumerable explanations to why the approach for developing a larger software application is being viewed as an easier concept with the Microservices Architecture pattern.
Easy Customization and Best of Breed Solutions
With Microservices Architecture pattern, one doesn’t just achieve flying-quick development of applications but its components can also be effectively spread out to multiple servers and data centers. In case, a component crashes, the remaining application can still function till you spin up another. Microservices approach complex problems as a manageable set of services; it takes less sweat to build and maintain applications after being broken down into smaller and composable pieces which uphold business performances. Each service has a well-defined boundary separated through API calls; the system operator/integrator can make a choice and tailor the platform by opting best software to complete a specific task. Thus, individual service becomes faster in the system by utilizing open source options, 3rd party solutions, or, the latest technologies, of course.
Ease of Deployment
Since Microservices Architecture pattern allows independent evolution of services, developers of the applications are free to prefer technologies that are most suitable to the environment (condition: the service honors the API contract). Developers need not coordinate with the deployment changes that are local to their work area for service. Also, unlike monolithic applications, developers are no more obligated to work on the obsolete technologies where each service used to share a monolithic database, an object-relational mapping layer, and other shared implementation elements.
With Microservices Architecture pattern, an organization can establish harmony by using current technology for writing a new service, add new features to it, and upgraded successfully. Moreover, it is viable to rewrite an old service as many of them are relatively small.
More importantly, Microservices can be tested as soon as they are deployed, with no interruption in the overall business operation. The UI team, for example, can carry through A|B testing and promptly iterate on UI changes. The Microservices pattern endorses continuous deployment.
The advantage of adopting Microservices Architecture pattern can be understood explicitly as each service can be efficiently scaled, independently. One just needs to deploy the number of instances for every service satiating to its capacity and availability constraints. Moreover, one can choose the hardware that conforms to a service’s resource requirements. It is possible to deploy an in-memory database service on EC2 Memory-optimized instances and a CPU-intensive image processing service on EC2 Compute Optimized instances, for example.
To meet continuously increasing demand on platform for services, instead of scaling all those components, a dedicated scaling can be offered at the micro-servicing level, allocating it with more resource. Hence, this would spare the excess usage of existing resources, resulting in lowering expenses and kicked-up ROI.
Cloud and App Efficiency:
Cloud computing affects another area of IT—application development. Besides, offering myriad of advantages over traditional monolithic applications, the Microservice Architecture pattern just amplify to its capability when combined with Cloud. The architecture pattern enables organizations to run applications on small servers or combine several service sets onto a comparatively larger server. It helps in shrewd computation of resources in a more cost-efficient way.
However, it is highly recommended to plan for security while accessing Microservices in a Cloud. Apply some form of the authentication token, that’ll allow services to identify the authorized caller, as well as the noted users. Otherwise, some wildcat users may harm their services by deploying illegitimate sources. You may also consider running different types of penetration testing, for e.g. fuzz tests, on your services to help discover probable leaks.
The benefits of SOA from 2005 may still be valid but the changes brought about through Cloud applications, DevOps and more have now empowered service management. The continuous deployment practices of Microservices Architecture pattern yields improved results. Selected automation tools can boost production by streamlining the process of developing codes and deploying microservice. May not be a panacea, however, Microservices hold the potential to bring a much-needed transformation across organizations through Cloud-based infrastructure.