AI bubble or not, traditional Dev and DevOps are about to grow | Webinar
In this clip, Thiago Maior explains why demand for traditional software engineering and DevOps is set to grow, regardless of whether the AI bubble expands or bursts.
Fast prototyping with AI tools accelerates early development, but production still requires solid architecture, validated security, scalable performance, and governance. As teams move from prototype to real-world systems, cleanup, optimization, and stabilization become unavoidable.
The video reframes AI not as a replacement for DevOps, but as a catalyst for a new wave of engineering work focused on reliability and scale.
EZOps Cloud. Cloud and DevOps merging expertise and innovation.
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