AWS Re:Invent Talks — Update 4 — Cloud Center of Excellence (CCOE) Includes Serverless and Generative AI

Shweta Vohra
2 min readJan 9, 2024

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Image Source: Mentioned Article from AWS

Explore the latest insights from AWS Re:Invent on establishing a successful Cloud Center of Excellence (CCoE) and leveraging the AWS Generative AI Center of Excellence.

🌟 How to Create a Serverless Center of Excellence

  • Discover the benefits of a developer-friendly modernization journey, focusing on building apps without the hassle of managing servers.
  • Learn from Capital One’s experience in adopting a serverless platform, establishing a center of excellence, and the pivotal role of education in serverless technology.
  • Gain insights into the dos and don’ts and best practices for serverless services, especially if you’re interested in Lambda!

🚀 Establishing a Modernization CCoE

  • Understand the importance of building and scaling your modernization capabilities with a CCoE.
  • The talk is divided into three parts, including why modernization is essential, guidance on modernization pathways, and a case study from Crayon’s CCoE journey.

🌟 Using the AWS Generative AI Center of Excellence (COE)

  • Dive into AWS’s approach to generative AI, covering aspects like deployment support, security, purpose-built applications, and partner integration.
  • Discover the exclusive resource hub for AWS Partners, offering essential links, insights, and training materials.

🌟 7 Pitfalls to Avoid When Building a CCOE

This insightful piece, although not from Re:Invent, wonderfully explains the common challenges and mistakes organizations might encounter when establishing a Cloud Center of Excellence (CCOE). It’s a must-read for anyone involved in the strategic planning and execution of cloud governance and management.

Have you implemented any of these practices in your organization? Share your experiences in the comments!

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Shweta Vohra
Shweta Vohra

Written by Shweta Vohra

🌟 I am Cloud Navigator! 🚀 As an Architect, my toolbox is filled with Cloud, K8S, Data and ML. Views I share are my own little 🌈, not my org's. #HopOnToCloud

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