8 Overview of relevant technologies
This chapter covers
- Getting familiar with model building using TensorFlow
- Understanding key terminologies on Kubernetes
- Running distributed machine learning workloads with Kubeflow
- Deploying container-native workflows using Argo Workflows
In the previous chapter, we went through the project background and system components to understand our strategies for implementing each component. We also discussed the challenges related to each component and discussed the patterns we will apply to address them. As previously mentioned, we will dive into the project’s implementation details in chapter 9, the book’s last chapter. However, since we will use different technologies in the project and it’s not easy to cover ...
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