Shashi Kanth G S

Airline Domain · Solution Architect · Applied AI · Cloud · App Modernization

Airline Architecture Advisory

Airline Cloud Platform Modernization

Modernize airline platforms with cloud-native architecture patterns that improve resilience, observability, and delivery velocity.

airline cloud architecture airline cloud platform modernization airline microservices architecture airline event-driven architecture

What I help with

  • Cloud migration strategy aligned to airline domain constraints and uptime needs.
  • Microservices and event architecture for scalable commercial and operational services.
  • Observability and reliability controls for complex distributed environments.

Expected outcomes

  • Lower incident resolution time through stronger observability and diagnostics.
  • More predictable release cycles with platform-level guardrails.
  • Improved resilience across high-volume booking and servicing workloads.

Typical deliverables

  • Cloud target architecture and workload transition strategy.
  • Operational readiness model covering SLOs, runbooks, and telemetry.
  • Reference patterns for API gateway, event mesh, and service decomposition.

Engagement flow

  1. Baseline workload criticality, dependency topology, and reliability pain points.
  2. Define platform reference architecture with governance and runtime standards.
  3. Execute phased modernization with measurable reliability and delivery KPIs.

FAQ

Frequently asked questions

How do you balance cloud modernization with strict airline uptime expectations?

Use incremental migration patterns, strong fallback paths, and reliability guardrails so critical operations remain protected throughout transition.

Is microservices always the right approach for airline modernization?

Not always. Service boundaries should follow domain and operational constraints, not trends. Some capabilities remain better as modular monoliths.

What should be measured during cloud modernization?

Track deployment frequency, change-failure rate, mean time to recovery, and user-impacting incident trends alongside business KPIs.