BIAN Applied to Microservices: Mapping to Domain-Driven Design
Financial Industry
“Many financial institutions are adopting microservices in developing new applications as well as modernizing existing applications. Central to the design of microservices is the partitioning of a large application into a suite of small services, each with clear business capabilities and a defined boundary, running independently and communicating with each other using lightweight protocols such as RESTful APIs and events. Domain-Driven Design, with a set of concepts and patterns for designing and developing a domain model, has been made popular by the increasing adoption of microservices architecture in the industry.
Banking Industry Architecture Network (BIAN) defines a component business blueprint for the banking industry. BIAN started with specifying a set of Service Domains, each as a discrete, non-overlapping, and elemental business capability, responsible for handling the full lifecycle of its business function. The Service Domains are organized into groups and cataloged in a reference framework called the Service Landscape. BIAN has traditionally been used as a component business architecture for enterprise analysis and applications at a high level. In recent years, BIAN has extended the Service Domain specifications to provide semantic models for describing the business information governed by a Service Domain, and for defining the service operations as the underlying exchanges between the Service Domains. These recent extensions pave the way for leveraging BIAN reference models in the design and development of applications based on microservices architecture.” Bia Hao. Chief Technology Architect, Technical Sales, IBM Technology, US Financial Services Market
KAI WAEHNER
Apache Kafka in the Financial Services Industry
“The rise of event streaming in financial services is growing like crazy. Continuous real-time data integration and processing are mandatory for many use cases. Apache Kafka is deployed across the financial services business departments for mission-critical transactional workloads and big data analytics. High scalability, high reliability, and an elastic open infrastructure are the key reasons for the success of Kafka. This blog post explores different use cases, architectures, and real-world examples in the FinServ sector” Kai Waehner.
Building the Bank of the Future with Event-Driven Architecture
Examining event-driven architecture in banking to transform customer experience, modernize technology, and optimize spend.
“The banking industry has been under a tremendous amount of pressure lately. Interest rate hikes, increasing unrealized losses, and recent bank failures are pushing banks to increase the cost of credit while customer and investor trust erodes. These issues, alongside constantly changing regulatory and customer demands and technological advancements, are further fueling the relational transformation that is happening between banks and their customers” The Slalom Blog.
Apache Kafka for Banking
Kafka platform for banking enables real-time data integration, fraud detection, automated customer communication, and streamlined risk models, transforming the financial sector with scalable and reliable data management.
“The demand for real-time integration and processing is high in banking and finance. This necessity drives the adoption of Apache Kafka for financial institutions to handle data. Let’s explore why Kafka is becoming indispensable in the banking sector, its critical use cases, and how it shapes the future of financial services.” Axual.
ENVIZION
BIAN UML Models
BIAN and its role in the banking industry
“The Banking Industry Architecture Network (BIAN) is a worldwide collaborative not-for-profit ecosystem formed of leading banks, technology providers, consultants and academics that offers a future-proof technology framework to standardise and simplify the core banking architecture.” Envizion
BIAN
Foundations of Banking excellence
Practices and priorities to accelerate digital transformation
Embracing the digital landscape
“A confluence of macroeconomic stressors paired with new competition from fintechs and nontraditional players presents an environment more challenging than ever for banks. The need to embrace continuous reinvention, augment business profitability, and reduce costs requires a substantial transformation of operations.
In response, CIOs and CTOs have shifted their focus from pure digital transformation to digital business transformation. Consequently, the IBM Institute for Business Value (IBV), in collaboration with BIAN, made these executives the focus on this paper.” Bian.