Backend Tech Stacks: Java und Kotlin
In order to use information profitably, however, new digital solutions for customers or employees must be added onto stable backends and integrated into existing IT systems. This is the only way to ensure that digital processes are automated and executed without media disruption or errors at interface level. This is where even ambitious IT projects often fail.
More than 20 years of backend experience
since 1999inovex was launched in 1999 as a systems provider focused on databases and middleware. We therefore have a great deal of experience in implementing high-quality backend systems. Today we integrate new applications and services perfectly into enterprise environments, for example using web and cloud services like Spring/Spring Boot, Netflix OSS, JEE, JVM based languages, .NET Core, Go, Serverless & Microservices, classic databases and NoSQL databases, State-of-the-art security procedures (e.g. OpenID Connect).
Case Studies
Backend
EXARING AG: Development of a scalable microservice backend for the waipu.tv streaming service
EXARING AG proves that linear TV and innovation are by no means mutually exclusive. The company worked with inovex GmbH to develop the waipu.tv streaming service.
READ CASE STUDY1&1 Mail & Media GmbH: geo-redundant Kubernetes hardware cluster created in just six months
inovex and REWE’s collaboration in the area of supply chain optimisation has focused particularly intensively on REWE’s IT subsidiary, REWE digital.
This particular project involved developing demand forecasting for REWE’s delivery service, leveraging big data technologies to enable easy scalability.
Replatforming
Agility, automation & infrastructureIn enterprise IT, there is currently a general technological trend in which various topics like Agility, automation, polyglot architectures, Microservices, infrastructure as code, Cloud and DevOps are all combined under the keyword ‘Replatforming’.
Modern platforms must be more agile, more fine-grained and more flexible.
Underlying these topics is the central technological challenge resulting from the Digital Transformation: More and more aspects of the economy and society are supported by database services – or even comprise only this type of service, in the case of purely digital business models. This tremendous growth in digital services, data volume, interfaces and dependencies and the increasingly short half-life of processes and features can no longer be handled by the “traditional” platforms of enterprise IT. Their monolithic architectures are, in places, more than 20 years old. Modern platforms must be designed differently in order to fulfill their tasks – they must be more agile, more fine-grained and more flexible, but always domain-specific and appropriate to the need. The ‘silver bullet’ which meets everyone’s requirements is unlikely to be developed anytime soon.
