8 articles that week
Platform Engineering, December 11,2025
For years, DevOps has been one of the finest options when it comes to ensuring smooth collaboration between developers and operations. But, it includes various practices, tools, tickets and more.
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Platform Engineering, December 11,2025
Platform 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.
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Platform engineering is fast becoming a cornerstone of modern software development, yet it remains widely misunderstood. Despite growing adoption across tech-driven organizations, persistent myths about what platform engineering truly involves are slowing its progress and obscuring its strategic value.
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While most of the cloud-native community talks about DevOps and its future, there is a sense of underestimation for the platform engineering stream, both as a career option and as a technological topic.
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Artificial intelligence (AI) is helping to revolutionize platform engineering by automating critical workflows such as continuous integration and continuous deployment (CI/CD), system observability and resource allocation.
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Observability has become a critical component of modern platform engineering, allowing teams to diagnose issues, optimize performance and maintain system reliability.
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It was a typical Monday morning when our CTO dropped a bombshell: 'We're hiring 50 new developers next quarter.' Our platform team's immediate reaction? Panic. With our current onboarding process taking two weeks per developer, we were looking at 100 weeks of cumulative onboarding time. Something had to change, and fast.
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Application modernization has become a critical initiative for organizations looking to remain competitive in today's rapidly evolving digital landscape. As businesses embrace cloud computing, microservices and AI-driven automation, modernizing legacy applications is no longer optional. It's essential for scalability, agility and innovation.
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