The Fast & Scalable Route to GCP: A Masterclass on MPL's Cloud Migration
How MPL achieved 40% cost reduction with zero‑downtime migration from AWS to GCP at enterprise scale
Topics Covered
Webinar Summary
Go behind the scenes of MPL's ambitious AWS to GCP migration with the engineering leader who orchestrated this massive undertaking. This masterclass reveals the complete playbook for executing a complex, high-scale cloud migration that achieved 40% cost reduction with zero downtime.
Strategic Foundation
- Goal Alignment Framework: How MPL aligned stakeholders on measurable migration outcomes
- Risk Assessment Matrix: Identifying and mitigating high-risk dependencies and systems
- Architecture Design: Leveraging GCP primitives while preserving critical workload characteristics
- Success Metrics: Defining KPIs that matter for migration success
Migration Execution Masterclass
- Phased Cutovers: Step-by-step approach to minimize blast radius
- Traffic Shifting Patterns: Controlled migration of user traffic with instant rollback capability
- Pre-Migration Rehearsals: Rigorous testing that exposed failure modes before they mattered
- Dependency Mapping: Service rationalization and high-risk dependency decoupling
- Stateful System Strategy: Managing large-scale data movement without service interruption
- Integrity Verification: Comprehensive checks ensuring data consistency throughout migration
- Replication Pipelines: Validation processes before switching write traffic
- Consistency Models: Maintaining data reliability across cloud platforms
Operational Success Framework
- Stakeholder Rhythms: Communication cadences between platform, app owners, and business teams
- Runbook Creation: Detailed playbooks for migration windows and emergency procedures
- Go/No-Go Criteria: Clear decision-making frameworks for critical migration moments
- Contingency Planning: Comprehensive backup plans and why most weren't needed
- Observability Baselines: Establishing performance benchmarks before migration
- SLO Framework: Service Level Objectives that guided migration decisions
- Canary Health Indicators: Real-time metrics for informed go/no-go decisions
- Performance Monitoring: Continuous validation during and after migration
Post-Migration Optimization
- Cost Governance Success: Achieving 40% cost reduction through strategic GCP service utilization
- Performance Tuning: Strategies that improved latency and throughput
- Continuous Optimization: Turning migration into a platform for ongoing improvements
- Resource Management: Long-term cost management and optimization techniques
- Operational Excellence: Establishing best practices in the new cloud environment
- GCP-Specific Optimization: Performance techniques specific to Google Cloud Platform
- Organizational Capability: Building skills for ongoing cloud-native operations
- Feedback Loops: Creating systems for continuous improvement
Real-World Results
- Zero Downtime: Complete migration without service interruption
- Cost Reduction: 40% infrastructure cost savings
- Performance Improvement: Better latency and throughput post-migration
- Enhanced Reliability: Leveraging GCP's native reliability features
You'll leave with a complete migration blueprint covering strategy, execution, and day-2 operations - everything needed to achieve zero downtime, maintain customer trust, and realize meaningful cost improvements without compromising performance. Perfect for cloud architects planning large-scale migrations, engineering leaders responsible for infrastructure decisions, and platform engineers building cloud-native infrastructure.
What You'll Learn
• In-depth insights from industry experts
• Practical strategies you can implement today
• Real-world examples and case studies
• Interactive Q&A and community discussion
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Speakers
Kaustubh Bhoyar
Pravanjan Choudhury
Special Guest: This session features expert insights from industry leaders outside of Facets.
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