Our client is a leading point-of-sale payment platform for retailers and consumers across
The solution offered by the client is omnichannel, with a focus on alternative purchase solutions.
We advise to not rush to DevOps to be more agile and deliver code faster at the expense of security. Our DevSecOps security service enables your teams to exert influence and make your apps secure within the current CI/CD pipelines. We help you achieve your goals without slowing down your development teams or jeopardizing security.
The legacy monolithic architecture of the client made renovating or adding new features to their app extremely complex. Reducing heap times and data inefficiencies was key to delivering a high-performance app to their existing customers. Due to monolith architecture, several services were running on the same infrastructure like user service, cart management service, payment service, and risk analysis service- making the app slow and unresponsive at times.
The lack of transparent codebase ownership across the organization was another challenge. Between the development teams and delivery teams, there was a single codebase of the app, and everything was tied to it, making it difficult to scale. The monolithic architecture also led to security breachers for the payment API once. The client wanted to keep the payment APIs and their code only accessible to limited people for better security. However, the client lacked naivety with microservices processes and architecture and wanted to rely on a trusted partner to help with the move to Microservices.
We established a microservices architecture that enabled our client to scale with its growing user base. Eliminating the interdependence of various services in the monolithic code was a game-changer, and the team replaced the current architecture with Microservices. The entire application was reorganized and decoupled into services that act as individual entities.
We enabled the client to deploy their product strategy without “breaking the code.“ Microservices architecture allows a constant delivery model making testing and debugging effortless and rapid. As a result, the code is continuously advanced, tested, and deployed, boosting the delivery cycle.
We also deployed a data migration strategy to make the standalone services sovereign. Thanks to the efficiency of Microservices architecture, the infrastructure costs for the client decreased, and the app downtime reduced drastically.
We have used the lambda function for the different service deployments. AWS Lambda provides pay per use billing method that saves the fixed infrastructure cost incurred due to dedicated compute services.
Team members involved
Increase in productivity
Our solution can prevent unforeseen incidents in the subsystems for the client by detecting early signs of anomalies like corrosion etc.
With our Enterprise AI solution, the client is more proactive, can track machinery downtimes, and predict the time to carry out maintenance activity.