Mission: App-Grade  

The Edeka app struggled with loading times and scaling problems - a risk in an industry where seconds make the difference between success and failure. At the same time, the existing e-commerce platform was reaching its limits: Its lack of scalability could no longer cope with the growing demands of digital commerce. This was compounded by manual processes that slowed down the development and provision of new features and increased time-to-market. These inefficiencies not only affected the speed of the app, but also the agility of the entire company. 

From a technical perspective, there was a lack of suitable infrastructure for containerized applications, which would have enabled faster deployment. The management of existing containers was complicated by outdated orchestration tools, and the inadequate CI/CD pipelines delayed the development process and encouraged deployment errors. All of these factors called for a comprehensive solution that would sustainably improve both the performance of the app and the scalability of the entire e-commerce infrastructure. 

Mission Status: Completed 

Our solution aimed to both increase the performance of the Edeka app and take the entire e-commerce infrastructure to a new level. We used Docker to containerize all backend components, making the app faster and more flexible. By introducing Kubernetes, we were able to optimize the management of these containers and implement automatic scaling to better manage peak loads. These measures led to a drastic reduction in loading times and significantly improved the user experience. 

For the e-commerce applications, we developed a scalable AWS infrastructure based on services such as EC2, S3 and Lambda to ensure maximum flexibility and performance. In addition, we relied on a serverless architecture for selected services, which reduced maintenance costs and further increased efficiency. To further automate processes, we introduced AWS CodePipeline and Terraform to automate deployment and minimize manual intervention. With the new CI/CD pipelines, we not only improved the speed of development cycles, but also made deployment more stable and error-free. 

The most important changes included the introduction of a containerized architecture, which reduced load times by half, and the establishment of a multi-cloud strategy, which ensured better resource utilization and availability. The automation of all deployment processes helped to significantly increase development speed while minimizing the error rate.