Parting notesThe landscape is moving in a clear direction. There is a lot of exciting new tech out there, with people constantly pushing the limits of cold starts toward faster, securely isolated workloads using Python decorators and other novel approaches to make microvms feel like containers. I am excited to see what comes next in this space. It is definitely an area to watch.
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Plan for iterative improvement rather than expecting immediate perfection. AIO is still an emerging practice without definitive best practices etched in stone. You'll make mistakes, try things that don't work, and occasionally optimize for factors that turn out not to matter. This experimentation is part of the learning process. What matters is systematic iteration—trying approaches, measuring results, adjusting based on feedback, and gradually improving your effectiveness over time.