Tom Smith

1 week ago | platformengineering.com | Tom Smith

In the rapidly evolving software development landscape, organizations are constantly seeking ways to improve developer productivity while maintaining robust governance and security. Two approaches have emerged as frontrunners in this quest: Platform engineering and DevOps. While both aim to streamline the development lifecycle, they differ significantly in their methodologies, team structures and impact on developer experience.

1 week ago | platformengineering.com | Tom Smith

Platform engineering is no longer the exclusive domain of tech giants. What started as an innovation at companies like Netflix and Spotify is rapidly becoming a standard practice across the business landscape, with mid-sized enterprises and startups eagerly adopting these principles to compete in today’s digital-first world. The Shift From Tech Giants to Mainstream AdoptionThe landscape of platform engineering is experiencing a fundamental transformation.

2 weeks ago | platformengineering.com | Tom Smith

As organizations increasingly adopt platform engineering practices to streamline software development and deployment, a clear pattern is emerging: Maturity matters. Recent industry research has revealed significant insights into how platform engineering evolves across organizations and the critical role that generative AI plays in this transformation.

3 weeks ago | platformengineering.com | Tom Smith

From DevOps Evolution to Platform RevolutionPlatform engineering has emerged as a transformative force in software development, extending beyond the traditional boundaries of DevOps. While DevOps focuses on integrating development and operations through continuous automation and collaboration, platform engineering takes a more comprehensive approach by creating standardized, self-service platforms that abstract away infrastructure complexities for developers.

3 weeks ago | platformengineering.com | Tom Smith

The Evolution of AI in Platform EngineeringPlatform engineering has emerged as a critical approach for modern development teams, with Gartner predicting that 80% of software engineering organizations will establish dedicated platform engineering teams by 2026. As businesses increasingly adopt cloud technologies, AI in platform engineering has become crucial in handling complexities such as system integrations, performance optimization and technology adaptation.