Industry
EdTech
Location
Berlin, Germany
Time
2025.03 - 2025.07
Company
German EdTech Startup
This case study details a successful cloud migration and modernization initiative, transitioning a critical application infrastructure from Digital Ocean to Amazon Web Services (AWS) Elastic Kubernetes Service (EKS). The project encompassed a phased rollout across staging, development, and production environments, leveraging Infrastructure as Code (IaC) for consistency and automation. Key technical implementations included advanced Continuous Integration/Continuous Delivery (CI/CD) pipelines for both application and infrastructure, robust backup and disaster recovery strategies, integration of AWS Web Application Firewall (WAF) for enhanced security, implementation of Review Apps for accelerated frontend development, a comprehensive Data Warehouse with Metabase for business intelligence.
The client’s existing infrastructure on Digital Ocean, while initially serving its purpose, began to exhibit critical limitations as the business scaled. This environment was characterized by manual management and a lack of advanced cloud-native capabilities. As the business grew and user traffic surged, DigitalOcean’s servers struggled to keep pace, resulting in significant slowdowns in response times during peak hours, frequent service interruptions, and higher latency. The platform’s limited auto-scaling capabilities made it difficult to dynamically meet demand, requiring manual intervention which proved to be an unsustainable temporary fix.
The compelling need for a more scalable, reliable, and feature-rich platform led to the strategic decision to migrate to AWS. AWS offered a comprehensive suite of cloud services capable of addressing the identified limitations, providing access to a wealth of advanced cloud services, improved performance, enhanced scalability, and robust security features. Amazon EKS was chosen as the central pillar for the migration due to its managed Kubernetes service, which efficiently orchestrates containerized applications with automatic scaling and robust integration with other AWS services. EKS offloads the burden of managing the Kubernetes control plane, allowing the team to focus on applications rather than the underlying infrastructure. This selection reflected a deliberate choice to adopt cloud-native best practices, moving beyond mere infrastructure hosting to a fully managed, scalable, and secure container orchestration platform. This indicated a strategic shift towards a more resilient and agile operational model.
A foundational element of the migration was the implementation of a robust multi-account strategy within AWS, utilizing AWS Organizations. This approach involved setting up distinct AWS accounts for each environment: staging, development, and production. This architecture provides strong security isolation, preventing unintended access or impact between environments. It also simplifies cost tracking and billing, allowing for granular financial oversight per environment. Service Control Policies (SCPs) within AWS Organizations can further enforce consistent policies across accounts.
The adoption of a multi-account strategy signifies a mature cloud governance model, providing strong isolation, clear billing separation, and enhanced security boundaries between critical environments. This is a foundational best practice for enterprise cloud deployments. This architectural decision impacts not just technical deployment but also organizational processes around security, compliance, and financial management, demonstrating a holistic, enterprise-ready approach to cloud adoption.
The entire AWS infrastructure, including Virtual Private Clouds (VPCs), subnets, security groups, and EKS clusters, was defined and managed using Infrastructure as Code (IaC) tools, primarily Terraform. This approach ensured consistent and repeatable deployments across all environments (staging, dev, production), significantly reducing the potential for human error and accelerating the provisioning process. By defining infrastructure in code, changes became version-controlled, collaborative, reviewable, and reversible, treating infrastructure with the same rigor as application code. This provided a clear audit trail for all infrastructure modifications.
Moving from manual provisioning, which was characteristic of the DigitalOcean environment, to IaC is a critical shift that underpins consistency, auditability, and rapid iteration across multiple environments. It transforms infrastructure management into a software development discipline. This directly addressed the issues of manual intervention and fragile infrastructure experienced on DigitalOcean. IaC is not merely a technical tool; it is a cultural enabler for DevOps, fostering collaboration, reducing risk, and improving the overall quality and speed of infrastructure delivery across the entire software development lifecycle.
The migration followed a meticulous, phased approach: reviewing the current infrastructure, creating infrastructure on AWS for staging, then development, and finally production. This iterative process allowed for rigorous testing and validation at each stage, systematically minimizing risks before impacting live users.
The initial step involved a thorough review of the existing Digital Ocean infrastructure to understand dependencies and configurations. Subsequently, AWS infrastructure for the staging account was created, mirroring the target production environment. All applications were deployed, run, and subjected to extensive testing on the staging account. Staging data was “flipped,” which involved migrating a copy of the staging data to the staging environment and then configuring applications in staging to connect to this new data source. This process allowed for comprehensive testing of data consistency, application connectivity, and performance under realistic data loads without affecting live production. This step effectively rehearsed the critical data cutover process. Comprehensive functional, performance, integration, and security testing were conducted to validate the new environment.
Following successful staging validation, AWS infrastructure was provisioned for the development account, providing developers with a cloud-native environment. Applications were deployed, and development data was “flipped” and tested. This ensured that developer workflows were integrated with the new AWS environment, allowing for early detection and resolution of environment-specific issues. This phase was crucial for refining deployment processes and application configurations in a non-production setting.
The final phase involved setting up the AWS infrastructure for the production account, built upon the validated IaC templates from staging and development. Extensive pre-launch testing was conducted, including running all applications and performing final validations to ensure readiness for the live launch.
The “flipping data” in staging and development environments served as a crucial de-risking strategy. It functioned as a rehearsal of the critical production cutover, allowing teams to identify and resolve data consistency, application connectivity, and performance issues in a controlled manner before impacting live users. This iterative testing of the cutover process was key to achieving zero-downtime migrations. For instance, database cutover strategies such as “flash-cut migration” (using continuous data replication) or “active/active database configuration” (with dual writes or bi-directional replication) were considered or employed to minimize downtime.
During a real-world migration to Amazon EKS, the production infrastructure hosted on DigitalOcean was deliberately shut down as part of the switchover process. Only after this shutdown was traffic shifted to the newly provisioned AWS environment—introducing a brief but intentional period of downtime. An automated DNS cutover was used to streamline the switchover, but unlike a zero-downtime scenario, there was a noticeable delay during the transition.
The term “flipping data” in this context refers to updating application configurations—such as changing database connection strings—to point to the freshly migrated AWS-hosted services. This usually followed the completion of data replication and synchronization between environments. Rehearsing this complex cutover process in staging and development environments was paramount to identify and mitigate potential issues (data consistency, network latency, application compatibility) in a controlled manner, thereby significantly de-risking the eventual production launch and aiming for zero downtime. This phased approach, coupled with iterative “data flipping” and comprehensive testing, embodied a robust risk mitigation strategy, ensuring that complex interdependencies were validated, performance bottlenecks identified, and operational procedures refined, leading to a high-confidence production launch and minimizing business disruption.
The comprehensive migration and modernization initiative yielded significant improvements across various dimensions, directly addressing the limitations faced on DigitalOcean and positioning the organization for future growth.
The migration from DigitalOcean to AWS EKS represents a pivotal transformation for the organization, moving from a constrained, manually intensive environment to a highly scalable, secure, and agile cloud-native platform. This comprehensive initiative, encompassing phased infrastructure deployment, sophisticated application and data migration, modernized CI/CD, robust backup strategies, enhanced security, and advanced analytics capabilities, has not only resolved the critical limitations of the previous infrastructure but has also established a resilient foundation for future growth. By strategically leveraging AWS EKS and its ecosystem of integrated services, the organization has achieved significant operational efficiencies, substantial cost optimization, and a marked increase in agility and innovation. The project underscores the importance of meticulous planning, the adoption of Infrastructure as Code, continuous integration and delivery practices, and a holistic approach to security and disaster recovery. This successful transition demonstrates how a well-executed cloud migration can serve as a catalyst for business modernization, enabling faster development cycles, improved reliability, and ultimately, a stronger competitive position in the market. The journey highlights a commitment to continuous optimization and the strategic imperative of embracing cloud-native capabilities to meet evolving business demands.