My Journey With Spark On Kubernetes... In Python (3/3)

This page summarizes the projects mentioned and recommended in the original post on dev.to
#Kubernetes #Cncf #client-python #Chart #K8s

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  • python

    Official Python client library for kubernetes (by kubernetes-client)

    We need to operate Kubernetes as part of a Python client application. So, we need to interact with the Kubernetes REST API. Luckily we do not need to implement the API calls and manage HTTP requests/responses ourselves: we can rely on the Kubernetes Python client, among other officially-supported Kubernetes client libraries for other languages such as Go, Java, .NET, JavaScript and Haskell (there are also a lot of community-maintained client libraries for many languages).

  • k8s-python-client-examples

    Would you like to know more? The Python scripts explained in this last article are available in this GitHub repository. Serve yourself.

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

  • helm

    The Kubernetes Package Manager

    Normally, you don't do that, at least that's not in Kubernetes' philosophy: Kubernetes files should be template-free and should only be patched, by the means of Kustomize for instance. Helm has also its own templating system.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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