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World Congress 2025 • Aug 20, 2025 • Session details

Crew Management System for Airlines: Plan duties for pilots & flight attendants worldwide

Annette Schelten , Krishnan

How do airlines untangle 25-year-old C++ monoliths without disrupting global flights? Discover how the strangler pattern, micro-frontends, and AI enable a seamless transition to cloud-native microservices.

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#1 about 3 min

Complexity and constraints in airline crew management

Planning duty rosters for airlines requires navigating diverse aircraft types, complex time zones, and strict aviation laws alongside union agreements.

#2 about 3 min

Planning processes from pairing to disruption tracking

Optimizing sequence assignments from initial pairing to roster creation and real-time disruption tracking relies on foundational legality rules.

#3 about 2 min

Legacy architecture of the current management platform

The existing monolithic crew management software relies on decades-old architecture, database-driven data exchanges, and a core built on legacy C++ business logic.

#4 about 2 min

Transforming to a cloud-native modular application architecture

Modernizing the monolith involves exposing public APIs, breaking into domain-driven structures, and adopting a multi-cloud strategy for operational resilience.

#5 about 3 min

Migrating domains iteratively using the strangler pattern

The transition to self-contained microservices relies on preserving backend coexistence alongside legacy systems through data synchronization and messaging protocols.

#6 about 2 min

Building a seamless unified interface with micro frontends

Incorporating micro frontends into a single host system allows independent deployment while presenting users with a unified web and mobile experience.

#7 about 3 min

Managing deployment and operating cloud-native environments

Decomposing systems requires secure continuous integration pipelines and centralized metric tracing in Kubernetes clusters to maintain proactive system operations.

#8 about 3 min

Operating hybrid infrastructure alongside legacy virtual machines

Phasing out the legacy virtual machine footprint involves maintaining secure hybrid network connections between on-premises installations and new cloud environments.

#9 about 3 min

Leveraging artificial intelligence to accelerate system migration

Emerging implementations of agent AI streamline legacy code translation, simplify natural language test automation, and assist developers with internal documentation.

#10 about 2 min

Aligning organizational structures with scalable agile frameworks

Adopting scaled agile practices ensures development teams retain full end-to-end ownership of individual components across the decentralized microservice landscape.

Matching moments

1:25 min

Transitioning to a software company and agile struggles

Marlene Roth Marlene Roth +1 · WWC 2025

2:46 min

Deploying AI agents for enterprise legacy code modernization

Neel Sundaresan Neel Sundaresan +1 · WWC Europe 2026

4:08 min

Transitioning software engineering teams to AI-native development workflows

Florian Deter Florian Deter +4 · WWC Europe 2026

3:08 min

Modernizing legacy infrastructure for ai driven business transformation

Kai Grunwitz Kai Grunwitz +2 · WWC 2025

2:11 min

Executing massive cloud network migrations while maintaining live systems

Dana Lawson Dana Lawson +1 · WWC Europe 2026

4:13 min

Speaker background and Eurowings digital transformation context

Johannes Hansen · WWC 2023

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