S1E11 Navigating Cloud Native Challenges - From Cloud-Native Back to On‑Prem with Luke Badgerow

In this conversation, Luke shares insights on navigating the complexities of cloud-native technologies, the importance of modernizing platforms with AI, and the common pitfalls of lift and shift migrations. He emphasizes the need for a strategic approach to refactoring legacy systems and the significance of collaboration across teams to ensure successful transitions to cloud environments.

Keywords: cloud native, AI, modernization, lift and shift, legacy systems, migration strategies, Kubernetes, serverless, architecture, data management

Takeaways

• Cloud native is about disintegrating application architecture.
• Modernization now includes AI integration for faster decision-making.
• Lift and shift often leads to unexpected challenges in cloud environments.
• Understanding the unique behaviors of applications in the cloud is crucial.
• Data migration can introduce latency issues affecting user experience.
• Collaboration across teams is essential for successful cloud transitions.
• Observability is key to managing cloud applications effectively.
• Legacy systems require careful analysis before migration.
• Refactoring can provide significant business value over simple lift and shift.
• AI should be integrated thoughtfully to enhance application performance.

Chapters

• The Evolution of Cloud Native Architecture
• Challenges in Migrating Legacy Systems
• The Role of AI in Modernization
• Navigating Lift and Shift Mistakes
• Deciding Between VM, Container, and Serverless
• Prioritizing Legacy Portfolio Migration
• Building a Collaborative IT Culture

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