Case Studies Automation in Banking systems

Automation in Banking systems

Automate the manual procedures for dealing with bankrupt clients

Client

The client needs automation for manual procedures in handling bankrupt clients, as well as for document management and payment recommendation platforms.

The client needs automation for manual procedures in handling bankrupt clients, as well as for document management and payment recommendation platforms.

Technologies

Java, Spring Boot, Java Persistence API(JPA), Hibernate, Gradle, Google Cloud, Openshift, Swagger

Java, Spring Boot, Java Persistence API(JPA), Hibernate, Gradle, Google Cloud, Openshift, Swagger

Background

The client requested the development of applications/microservices to automate manual operations. A backend application was needed for lawyers to upload details of bankrupt clients into legacy systems. Additionally, a portal for clients to upload data for third-party vendors was required to be improved. For the payment recommendation platform, the creation of a base architecture was expected to provide payment options for small- and medium-sized companies.

The client requested the development of applications/microservices to automate manual operations. A backend application was needed for lawyers to upload details of bankrupt clients into legacy systems. Additionally, a portal for clients to upload data for third-party vendors was required to be improved. For the payment recommendation platform, the creation of a base architecture was expected to provide payment options for small- and medium-sized companies.

Challenge

A significant challenge in automating systems that incorporate legacy components is the effect of legacy behavior on the performance of developed microservices. In the banking industry, security is prioritized above other considerations, requiring the implementation of encryption in transit for data stored in an Oracle database.

A significant challenge in automating systems that incorporate legacy components is the effect of legacy behavior on the performance of developed microservices. In the banking industry, security is prioritized above other considerations, requiring the implementation of encryption in transit for data stored in an Oracle database.

Solution

Datics assisted the client in achieving their objectives in a timely manner. To integrate with legacy systems, a circuit breaker was implemented from a distributed systems perspective and document handling was automated using scheduled jobs. To handle potential issues from legacy integration, asynchronous computation was implemented. For security, encryption in transit for database transactions was implemented at both the application (client) level and the database server level.

Datics assisted the client in achieving their objectives in a timely manner. To integrate with legacy systems, a circuit breaker was implemented from a distributed systems perspective and document handling was automated using scheduled jobs. To handle potential issues from legacy integration, asynchronous computation was implemented. For security, encryption in transit for database transactions was implemented at both the application (client) level and the database server level.

Result

All application development was successfully deployed and end users could use the services smoothly. The implemented encryption was a first for the client and has since become a standard in all subsequent backend applications for encryption in transit.

All application development was successfully deployed and end users could use the services smoothly. The implemented encryption was a first for the client and has since become a standard in all subsequent backend applications for encryption in transit.

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