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Schiphol Shifts to OpenShift Platform Engineering

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Royal Schiphol Group is leveraging Red Hat OpenShift for a hybrid cloud strategy that modernizes legacy infrastructure. This shift-left approach enables DevOps professionals and AI engineers preparing for Kubernetes certifications like CKA or CKAD to understand real-world migration patterns.

At the recent KubeCon + CloudNativeCon gathering in Amsterdam, Royal Schiphol Group demonstrated a sophisticated digital transformation strategy centered on Red Hat OpenShift. Roel Donker, Technology Lead within the group, and Maxim Burgerhout from Red Hat detailed how this massive airport hub is preparing for a hybrid future by integrating containerized workloads into existing infrastructure. For cloud engineers studying to validate their skills through certifications such as CKA, observing Schiphol's implementation of shift-left platform engineering provides critical context on managing complex, multi-cloud environments.

Migrating Legacy Systems with Containerization

  • Lift-and-shift strategies often fail due to dependency conflicts in monolithic applications.
    Kubernetes certifications (CKA) teach the necessary skills for refactoring these apps.
Schiphol's journey involves moving away from traditional virtual machines toward a container-first architecture using Red Hat OpenShift on Kubernetes. The primary technical challenge was not merely installing software but ensuring that legacy applications could run alongside new microservices without resource contention or security breaches. By adopting this hybrid model, the airport maintains control over sensitive passenger data while utilizing public cloud elasticity for peak travel seasons.

Implementing Shift-Left Platform Engineering

The core of Schiphol's strategy is a shift-left approach to platform engineering. Instead of treating DevOps as an afterthought at deployment time, the organization embeds security and compliance checks directly into the CI/CD pipeline during development phases. This architectural decision reduces mean-time-to-recovery (MTTR) significantly because vulnerabilities are identified before code reaches production environments.


Shift-left platform engineering ensures that developers have access to self-service platforms for provisioning infrastructure, reducing bottlenecks caused by manual approval processes from operations teams.

Leveraging Hybrid Cloud Architectures with Red Hat OpenShift

The technical implementation relies heavily on the portability of containers across different cloud providers. Schiphol utilizes a multi-cloud strategy where workloads can spin up in AWS or Azure depending on latency requirements, while keeping core data residency compliant within their private environment using Red Hat OpenShift. This flexibility is essential for global enterprises that must balance cost optimization with strict regulatory mandates regarding passenger information.

Data Sovereignty and Security Compliance at Scale

Airport operations generate massive amounts of telemetry, including flight schedules, baggage tracking data, and biometric security logs. Schiphol's architecture ensures this sensitive PII (Personally Identifiable Information) never leaves their controlled perimeter unless explicitly authorized for analytics processing in a secure enclave.

Security is not an add-on but the foundation of every architectural decision made during migration to OpenShift.

The Role of Observability and AI Engineering


Modernizing infrastructure requires robust observability stacks. Schiphol integrates Prometheus, Grafana, and ELK Stack for centralized logging across their hybrid fleet. For engineers preparing for AIF-C01 (AWS ML Specialty) or similar certifications focused on MLOps, this environment serves as a case study in deploying AI models that predict flight delays using historical weather data without exposing proprietary algorithms to public clouds.

What This Means For You

The transition at Schiphol illustrates the inevitable shift toward hybrid cloud architectures for mission-critical infrastructure. As you prepare your own projects or certification exams, focus on mastering container orchestration and security policies rather than just basic deployment scripts.

Originally published atREDHAT