There indeed is a lot of buzz around microservices in the market. According to a recent Gartner report, nearly 74% of organizations surveyed confirmed that they are already using microservices architecture, while an additional 23% of leaders are interested in adopting it.
However, another survey by Gartner highlights that the number of mentions of microservices architecture has decreased by 42% from January 2019 to September 2020.
According to Gartner, it is an application component that is precisely defined, well-encapsulated, loosely connected, and designed for independent deployment and scalability. While the architecture offers significant advantages, its successful implementation can be challenging due to common misunderstandings regarding its purpose, timing, and proper usage.
But the million-dollar question is, how is banking using microservices to level up operations, improve the CX quotient, and drive agility in a highly competitive landscape? Find out this and more in our blog.
The banking sector is not new to change. It has dramatically evolved from a brick-and-motor establishment to a digital service where banking is now at the fingertips. Being an early player in the digital revolution, the banking sector continues to evolve, with its architecture now driving the next phase of transformation.
By breaking down traditional monolithic systems into smaller, agile components, banks can enhance scalability, accelerate innovation, and deliver seamless customer experiences. From real-time payments to fraud detection, microservices power the next gen banking ecosystem, ensuring flexibility, efficiency, and resilience. This synergy is reshaping financial services, making banking smarter, faster, and more customer-centric than ever before.
For decades, banks have relied on legacy systems built on monolithic architectures and outdated technology. However, this setup has led to slow innovation, limited scalability, and subpar customer experiences. To stay competitive, banks are now embracing microservices, enabling faster deployments, enhanced agility, and seamless digital experiences for their customers.
Most banks recognize the need to innovate rapidly and address the evolving needs of their customers in order to remain relevant and competitive in the market. In contrast, banks that rely on monolithic architectures systems that are rigid and inflexible are stable but often slow to adapt. As banks start to place cloud computing at the center of their digital transformation strategies, it's vital to conduct thorough research to determine the most suitable architecture.
This will enable banks to fully leverage the potential for change. Remember, simply using a lift-and-shift methodology is ineffective if the architecture cannot adequately support the required specifications. Monolithic applications are generally easier to build and manage, but they can be inflexible and require a lot of maintenance. In contrast, its architecture is based on the principles of service-oriented architecture, providing unmatched agility, as well as faster development and deployment.
Aspect | Monolithic Architecture | Microservices Architecture |
Architecture | Single, unified codebase | Distributed, independent services |
Deployment | Entire system redeployed for updates | Individual services can be deployed independently |
Tech Stack | Uses a single technology stack | Allows different technologies for different services |
Data Management | Centralized database | Decentralized, service-specific databases |
Communication | Direct function calls | API-based communication (REST, gRPC, or event-driven) |
In simple terms, Microservices architecture decomposes monolithic applications into independent, loosely coupled services that interact via open APIs or scalable messaging. It is well-suited for building agile, resilient, and cloud-native solutions. This table provides a practical comparison of monolithic and microservices architectures. It also outlines a structured approach for transitioning from monoliths to microservices, ensuring better scalability, flexibility, and efficiency.
So, it's time to spill the beans. Though it’s no longer much of a secret, as more banks embrace microservices. If you're considering a shift from monolithic to microservices architecture, this exploration will offer valuable insights to guide your journey.
Imagine you want to add a new offer to one of your banking products. Say you want to reduce the personal loan interest rate by 1% for the festive season. Now when the bank operates on monolithic architecture, there is a need to make changes to the entire system and not just a single code base. This enormously increases the chances of getting down the entire system even if there is one single mistake. This results in limitations and poor response to changing market needs and customer demands.
But when banks sign up for microservices, they say yes to faster changes and less risk. This is primarily because microservices break down a bank’s services into independent units such as current accounts, loans, mortgages, and more, each functioning as a standalone service. This means a change to interest rate only affects that specific service, reducing risks to the core system. By minimizing disruptions, it creates a controlled, agile environment, allowing banks to innovate and update systems with ease.
Need for Agility and Faster Innovation
Legacy monolithic systems slow down development and deployment. It enables banks to roll out updates, new features, and compliance changes faster, keeping them ahead of market trends. This approach also enhances customer experiences through rapid, iterative innovation.
Scalability to Handle Growing Demand
As digital banking adoption surges, banks need scalable architectures to manage fluctuating workloads. It allows independent scaling of services, ensuring seamless performance during peak usage periods without overloading the entire system.
Enhanced Security and Risk Mitigation
A failure in monolithic architecture can disrupt the entire system. Microservices contain failures within isolated services, minimizing risks. Banks can also implement security measures at the service level, improving compliance and protecting sensitive customer data.
Seamless Integration with Modern Technologies
It makes it easier to integrate AI, blockchain, and analytics into banking systems. API-driven communication allows banks to leverage emerging technologies, enhancing fraud detection, automation, and personalized customer experiences without overhauling the entire infrastructure.
Regulatory Compliance and Operational Resilience
Regulatory changes require frequent updates to banking systems. Microservices allow modular updates, ensuring banks comply with evolving regulations without disrupting entire operations. This also enhances resilience, as failures in one service won’t compromise the entire platform.
The growth pattern of data and customer demands in the banking arena is unprecedented. Today, when every industry is embracing digitalization and change, banking is no exception. To remain competitive in the market and enhance customer experiences, banks must focus on innovation, expedite product launches, and improve decision-making. Additionally, seamless scalability, agility, and security are crucial for enhancing overall banking operations.
At Lera, we recognize that banking is a vital sector for the entire economy. To improve the banking experience, we utilize our 9X Data Platform solutions to help banks using the Temenos Transact core banking system achieve higher levels of performance and operational efficiency.
Explore more about 9X Data Platform right here!
As industry shifts towards scalability and agility, adopting innovative solutions becomes essential for staying competitive. The future of banking lies in embracing digital transformation to drive efficiency and long-term growth.