Conference recap: a knowledge sharing event between 4 companies

Developing software as a medical device comes with many challenges, with the ultimate aim being to deploy your product to market in good time and with confidence. However, human lives can be at risk when developing medical device software. For this reason, you must pay close attention to complying to regulations, implementing a quality management system, and performing clinical studies of your product. This can make it harder to get your product, and any new features, onto the market.

Kobe Leysen explained how developing medical software differs hugely from traditional software development, using our customer FibriCheck as a case study.

As Extra Horizon provides a backend for medical applications, keeping customer data separate is a top priority. This is why we deploy dedicated backend environments for each customer. Christopher Hex explained how we leverage AWS Organisations and Terraform, in order to properly segregate customer information in a maintainable way. 

Kunlabora, a Leuven-based software development company, gave a presentation about the benefits of serveless technology, such as Amazon Web Services (AWS), for their applications. 

With Kunlabora having applied serverless technologies to their projects for many years already, they explained how to use the serverless framework to build successful applications, useful techniques to solve integration use cases, and how AWS can be used as an alternative to the serverless framework.

Prato HR, a developer and supplier of HR software and services, talked about their microservices architecture. This architecture forms the basis of their payroll engine, which was developed over 4 years ago. 

In this session, we found out why Prato HR chose microservice architecture, the advantages and disadvantages of this choice, how they organised their teams, and the organisational and architectural lessons learned in the process.

Hootsuite, a social media management tool, explained what GraphQL is and how you can implement GraphQL into your API, as well as the common pitfalls of GraphQL. Using themselves as a case study, Hootsuite explained how GraphQL aggregates data from their microservices before displaying it in their web application.