This article highlights the critical importance of measuring success in platform engineering. Many teams struggle with inadequate metrics, which jeopardizes their ability to prove ROI and secure funding. It offers insights into common pitfalls and provides a framework for establishing effective measurement and improving developer adoption.

This article analyzes the current state and future trajectory of platform engineering, highlighting key findings from a recent survey. It outlines the importance of measurement, AI integration, and investment strategies for success by 2026, emphasizing a growing divide between proactive and reactive organizations.

This article presents ten charts that illustrate the rapid adoption and impact of AI across various sectors. It covers user behavior, investment patterns, and the challenges companies face in realizing returns on AI implementation. The insights emphasize the transformative yet uneven effects AI has on industries and employment.