Transitioning from Monolith to Microservices in Enterprise Software

Technology has been taking swift strides this decade, and digital transformation is imperative for every business. While shedding outdated processes and legacy technology, business leaders are ready to invest heavily in new technology and digitization to witness the astounding outcomes of this digital transformation. For enterprise transformation with the help of digital transformation, solution transformation, and data transformation, innovation is becoming a top priority for businesses. Every organization is predicted to be a software organization at some level. Nowadays, businesses realize they can provide breakthrough digital customer experiences using cloud-first solutions and its services. Vendors of major enterprise systems – like Microsoft, SAP, and Oracle – have switched their attention to their cloud products, ceased supporting their existing systems and stimulated their clients to switch to the cloud first by providing attractive benefits like slashed prices, security enhancements, development and low maintainability with new features and services. Many businesses shifted to leverage their capabilities, while others forcefully made the shift during the pandemic. Monoliths are large code bases which contain all the logic needed to run an application anywhere. It is self-contained, employable and includes a lot of functionality. It is composed of many modules that represent different functionality in an application. Everything within the monolithic architecture is connected or can be connected to anything else. All the relevant code in this project is kept in a single repository. Cloud-based enterprise systems enable businesses that regularly require large amounts of computing power to provide some digital product or digital experience. They add capabilities that include advances in data analytics technologies, quick adoption of agile product development approaches and automation. In the microservice architecture, the code is broken into pieces and converted into services. Each microservice is designed and implemented to do a more specific task. Specific services are independently built, deployed, operated, and scaled. They can take requests and potentially call each other to fulfil these requests. Advantages of microservices over monoliths When the internal team in a business scale and all want to move about individually, different product teams are working on different products, and the business demands smooth deployments, the business needs to move to a microservices architecture. A microservices architecture brings in the following benefits: Good separation of concerns: To make any feature change, you need to go to the relevant service and make the change—no need for a cumbersome dependency analysis for changing something in the code. Relatively easier engineering: Coding in microservices is sometimes easier because the coder needs to make changes only to the code pertinent to a particular service. This defines the expectations and responses very well, as the engineers in the rest of the services will respect the contracts made with other services. Also, the design and interaction of these services are much simpler and smoother. Easier deployments: When there is a change in a particular service, the engineer can deploy that service separately. This also removes any hassles associated with the non-functioning of non-critical services. Enhanced Security: The best part about microservices architecture is enhanced security. With this architecture/ecosystem, you may not need to worry about ransomware attacks and be rest assured about the safe and secure environment. Strategies of microservice architecture When you decide to migrate from the monolithic to the microservices architecture, you are not only changing the way you code but also the entire business model. So, you need to plan and prepare for the operations to continue smoothly during the transition. The following strategies are a reliable guide. Business logic: The services are designed based on the business blocks by defining services focussing on localizing a business process. Data strategy: The complexity of the data in today’s world is very high. With different data types and storage availability, a data strategy is key for any architecture for smooth running and future growth. As the services are designed, the data can be partitioned either based on each service or data relationships. Both these methods have their advantages as well as disadvantages. It is always better to define data architecture by isolating services or segregating data and accessing it based on demand. Checks and balances: Visibility is key for such distributed and decoupled architecture. The fine balance between dependency vs decoupling is maintained with the use of gateway and client/server-side discovery patterns. Bundling of common components: It is critical to handle cross-cutting concerns by building libraries and packages and maintaining them as a centralized component for all services and processes. Process-driven: Some business processes need critical attention; thus, opting for their independent architecture is also observed. FanOut: As all the services are independently managed but collaborate continuously, the key is to strategize the circuit breaker with the proper mechanism to reduce latency. Migrating from monolith to microservices – application modernization Step 1: Gain a comprehensive understanding of the existing monolithic application Step 2: Use the domain-driven design to expand the identified services and fragment the frontend and backend Step 3: Build services and eliminate the monolithic architecture incrementally Step 4: Evolution of your enterprise application with microservices Services in a microservice architecture are planned around business concerns and not technical concerns. So, there may be a need to create larger services instead of smaller services and defining service boundaries may be an iterative process.