I disagree. Pushing your image up to your registry, running `kubectl apply`, waiting for it to schedule your Pod and start your containers and exec'ing into th

I disagree. Pushing your image up to your registry, running `kubectl apply`, waiting for it to schedule your Pod and start your containers and exec'ing into them when shit breaks is WAY faster than zipping up your artifact and any layers that come with it, uploading it into S3, and re-deploying your Lambda functions (and any API Gateway apps associated with them), IMO. When I use Serverless to do this, deploys take up to two minutes, which I sometimes do often because I have no real way of troubleshooting the application within Lambda (definitely necessary if you're using Lambda base images; less necessary if you're rolling your own; likely if you're integrating with API Gateway since documentation on the payloads sent from it is lacking IMO).