In this episode, Kevin Evans interviews Bret Fisher, a Docker captain and cloud native ambassador, who shares his extensive journey in the tech industry. Brett discusses his early experiences with computers, his military background, and the evolution of technology over the years. He emphasizes the importance of foundational knowledge in tech, particularly in networking and system administration, and explores the impact of AI on the industry.
The conversation also touches on the emerging concept of Agentic DevOps and its implications for the future of work in tech. In this conversation, Bret Fisher discusses the transformative impact of AI on DevOps, emphasizing the emergence of AI agents and the Model Context Protocol (MCP) as pivotal developments. He explores the future of AI in infrastructure management, the potential changes in job roles, and the importance of open-source solutions in shaping AI's trajectory.
Fisher advocates for a proactive approach to integrating AI into workflows, highlighting the need for adaptability and innovation in the face of evolving technology. Takeaways Brett Fisher has 30 years of experience in IT, focusing on Docker and containers. He emphasizes the importance of foundational knowledge in technology. Brett's journey began with a Tandy computer and learning BASIC programming. He highlights the evolution of networking and the internet from the early 90s.
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AI is changing the landscape of technology and work. Understanding networking is crucial for a successful tech career. Brett encourages building your own PC to understand hardware better. The tech industry has evolved significantly, but foundational skills remain relevant. Agentic DevOps is an emerging concept that combines AI with DevOps practices. Brett believes that practical experience is essential for understanding complex tech issues. AI is revolutionizing DevOps practices. The concept of agents in AI is gaining traction.
MCP protocol is essential for AI tool integration. AI's impact on job roles is still unfolding. Agentic DevOps represents a new way of working. Open source will play a crucial role in AI development. AI can enhance productivity but won't replace jobs entirely. Understanding AI's limitations is key for operators. Proactive engagement with AI tools is necessary. The future will see AI as an integral part of workflows.
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