Modernizing Apps: 3 Steps with Automation & Generative AI

Summary: The video discusses the necessity for enterprises to innovate and modernize their applications to remain competitive. It emphasizes the challenges posed by technical debt and skill shortages, particularly when adopting new platforms like Kubernetes. The presentation outlines a simplified three-step process to automate and streamline application modernization while leveraging generative AI to lower costs and reduce risks.

Keypoints:

• Enterprises must innovate to remain competitive, but technical debt hampers progress.
• Modernizing applications requires significant resources; an average of over 150 person years for enterprises.
• Adopting new platforms like Kubernetes increases complexity and can lead to skill shortages.
• Three-quarters of teams report skill shortages as a major barrier to modernization.
• Modernizing Java applications can be simplified through automation to lower costs and risks.
• The three steps to modernizing applications are: understanding, planning and prioritizing, and executing efficiently.
• Understanding involves visualizing application states and identifying dependencies, including messaging and databases.
• Planning requires a thorough understanding of both the current and destination environments.
• Automation plays a crucial role in efficiently converting configurations and code between environments.
• Generative AI can assist in complex conversions, providing recommendations, explaining code, and generating tests.
• Modernizing to the cloud reduces management and maintenance burdens, allowing teams to focus on application development.
• Choosing a knowledgeable solution provider is essential for a successful modernization journey.
• A fully managed cloud application platform allows teams to focus on project differentiation and innovation.