My journey to gracefully shut down a docker image in Kubernetes
In this video I talk about the different iterations I went through the last weeks in order to shut down a docker image in Kubernetes with workloads without missing any jobs.
We talk about my experience of setting up an audio interface in Windows 7.
During my spare time, I love to have some hobby projects. In this case, I implemented a quiz application that we could use on Fridays at work when we always run a quiz at the end of the week.
I had to setup a docker image that could handle request in an API using async jobs to do the actual workload. This means that I had to have something running in the background async while also having a docker image with web server and php.
In this video we will convert Pytorch model to Tensorflow using (Open Neural Network Exchange) ONNX. ONNX is a standard format supported by a community of partners such as Microsoft, Amazon and IBM. PyTorch is mainly maintained by Facebook and Tensorflow is built in collaboration with Google.
After the build in the real system we need to verify that the correct libraries are used and the correct tools will create a viable executable in our new system before building the rest of the packages.
We solve the day 18 challenges for the Advent of Code.