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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.
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1 week ago |
platformengineering.com | Alan Shimel
The question “What is Platform Engineering?” continues to echo across tech blogs, webinars and discussions, despite the dramatic rise and increasing clarity surrounding the discipline over the past three to four years. Sites like Dynatrace diligently maintain pages explicitly answering this query. Even Google’s Gemini AI confidently delivers explanations designed to clarify the essence of platform engineering.
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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.
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1 week ago |
platformengineering.com | Alan Shimel
In my more than 25 years in cybersecurity, I’ve witnessed an evolving narrative about how best to secure software. From reactive measures to proactive strategies, one truth consistently emerges: Security is most effective when integrated deeply into development workflows. With the advent of platform engineering, we are presented with yet another pivotal moment to embed security into our infrastructure from the outset, forming a natural alliance between cybersecurity and platform engineering.
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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.
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