A team of Keyhole Software consultants helped a multi-national company to develop an application focused on full automation of the insurance claims workflow process after a car accident. The development relied heavily on React and Java, and other key technologies include Artificial Intelligence, Spring Boot, Microservices, and REST. Client and Application Overview The client develops software solutions for the insurance …
A team of Keyhole Software Consultants built a customer-facing analytics dashboard for an international leader in automotive data and software services. This project was performed under an aggressive deadline and was completed both early and under budget.
The goal of the project was to both build the analytics dashboard and make all data accessible through a REST API. The development team was also tasked with building a custom solution for user authentication using JWTs to control access based on user subscriptions through an API Gateway.
Keyhole consultant was engaged in an effort to implement a push notification solution for an existing mobile banking application.
To begin, Keyhole reviewed the application requirements to determine the best service to use moving forward. After the evaluation of Twilio and Amazon Web Services Simple Notification Service, the team concluded AWS SNS was the best solution.
Under an aggressive 6-week deadline, a four-person Keyhole Software Consulting team was charged with delivering functionality to the first phase of a capital asset planning application for an international engineering consulting firm.
Deliverables included ensuring all UI controls displayed properly on mobile devices, application functionality in offline mode, and seamless integration with the working application.
Keyhole Consultants are currently leading an initiative at a large financial services firm to move a large, monolithic, legacy application running in the organization’s “on-premise” data center, to a microservice-based suite of applications running in the “cloud.” The application is being iteratively moved to containers, orchestrated by Kubernetes in the AWS Cloud.
The effort was centered on developing a more agile environment including process, practices, and technology choices, with the goal of cultivating a DevOps culture.