Platform-First Cloud Transformation
summary
Claims a measurable uplift—cloud spend projection of 678 billion and 40% faster deployments—and shows how that comes from specific choices: a hub‑and‑spoke platform with golden paths, policy‑as‑code, GitOps, canary/blue‑green rollouts that self‑heal and rollback, container scanners, and AI for autoscaling and cost prediction. Presents a phased pilot that builds reusable IaC templates, Kubernetes runtimes, and developer self‑service, tracks DORA metrics (lead time, MTTR, failure rate) and cost, and reports whether pilots met those targets.
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chapters (14)
- 0:00Introduction and Overview
- 0:10Challenges in Modern Software Engineering
- 0:24Importance of Platform Engineering
- 0:37Faster Deployments and Developer Productivity
- 1:59Self-Service Infrastructure
- 3:11Architectural Patterns for Multi-Cloud Success
- 4:56Optimizing Developer Experience
- 7:35Infrastructure as Code
- 10:08Technical and Business Metrics
- 12:36Emerging Trends in Cloud Infrastructure
- 14:09Implementing Strategies for Success
- 18:28Balancing Control and Freedom
- 19:25Future of Cloud Work
- 19:58Conclusion
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