Data is accumulating day by day at an unprecedented rate from a variety of sources. Sometimes, a large amount of data generation becomes a major issue as it complicates data access, and the situation gets even worse when our company runs on microservices-based architecture. This is because each microservice’s data is private and can only be accessed via the microservice’s API. Furthermore, if several services use the same data, schema modifications necessitate time-consuming, coordinated updates across all services. A relational database is not always the ideal solution for storing and processing different types of data in modern applications. For some applications, a typical NoSQL database may have a more user-friendly data model and offer much better speed and scalability. While some people prefer the polyglot persistence strategy, which combines SQL and NoSQL databases. However, it does pose some challenges with distributed data management. Therefore, the solution to all these problems is to implement an event-driven architecture, which unlocks the immense benefits/advantages of microservices.
Data Management Challenges in Microservices
Dealing with growing volumes of data becomes more difficult for businesses and individuals, especially when microservices are involved. Many businesses still rely on relational database management systems to address big data challenges, but they need to make compromises with a few things that are critical to big data management. Here companies may face challenges when using microservices but these challenges can be turned into benefits/advantages when using modern approaches to data management.
Poor Data Governance
Government and industry requirements, as well as the movement of data from on-premises to the cloud, make data governance or microservices security a difficulty, especially when it comes to personal information. Data management systems must communicate with each other about where the data is stored, what is in it, and who has access to it for the microservices system to be effective and secure.
Lack of Scalability
When a relational database is used across multiple servers, the structure of the database changes and becomes difficult to manage, especially when the amount of data is very large. As a result, the data is not scalable across multiple physical storage servers. Ultimately, this affects performance, such as data availability and load times, much more. As the database grows in size or is spread across a large number of servers, negative consequences such as latency and availability concerns will wreak havoc on overall performance.
Difficulty in Creating Queries
The most difficult problem that businesses have is figuring out how to create queries that collect data from various microservices. There are mainly two popular methods for improving the efficiency of your system’s communication while gathering information – API gateway and CQRS with query/reads tables.
Lack of Consistency Across Microservices
Implementing end-to-end business processes while preserving consistency across various microservices has long been a difficulty for businesses. This problem can be solved by using eventual consistency across microservices defined by event-driven communication and a publish-and-subscribe mechanism.
What is Event-Driven Architecture?
An event-driven data management system is mainly practiced to drive microservices. As part of this system, one microservice broadcasts an event when anything notable happens, and then other microservices subscribe to it. After receiving an event, a microservice can change its business entities, resulting in new events being published. This design pattern can be used by applications developed in any language and on any platform.
Legacy systems rely on request-response communication patterns, in which a system must be queried or requested to identify whether an event has occurred. Adopting a request-reply architecture was acceptable for most business operations in the past, but this design is now constrained by an increasing number of use cases where data has high time value, and agility and scalability are also essential. It is ideal to build an event-driven architecture, which is based on the publish-subscribe messaging pattern, where events are communicated in real-time between apps that publish and subscribe to them. This is done through an intermediary event broker, to satisfy the rising expectations of modern companies and make microservices more secure.
Benefits of Event-Driven Architecture for Microservices
Below are the benefits of event-driven architecture for microservices. Let’s take a look!
- Data Quality – Asynchronous processing is a feature of event-driven microservices, which means that event handling is decoupled from the event producer, minimizing the relevance of time when the event is handled. Microservices handle events such as data movement, transformation, enrichment, and maintenance. Events must frequently be handled fast and effectively, or else they will get stale. As a result, maintaining scale for performance is a crucial component of data quality.
- Flexible Development – Application development is greatly facilitated by the inherent scalability of event-driven architectures. Getting things up and running may take some time, but after that, measuring becomes straightforward.
- Improved User Experience – Event-driven architecture leads to an overall better user experience. An application that remembers the client’s purchase history, order status, browsing activity, and general preferences lead to a significantly better user experience and a greater customer retention rate.
- Lower Running Costs – In the long run, an event-driven architecture may help a firm save money. Keep in mind, however, while adopting an event-driven architecture. If your app receives little traffic, an event-driven design may be overkill.
Develop Powerful Event-Driven Architecture for Microservices
It is feasible to design a robust microservice-based architecture and extract the benefits/ advantages of microservices that are fully decoupled using event-driven architectures, providing greater agility and flexibility to the development lifecycle. At Ksolves, we are experts in modernizing outdated IT systems and know-how to tailor things to your needs perfectly. We offer and master everything, from the development of Event-Driven Microservices Architecture to its integration or further modification!
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