Zero to Kubernetes in 5 Mins

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • k3s

    Lightweight Kubernetes

  • Now that our docker image is ready, we can use K8s to deploy and manage for us container(s) from that image. To do that, let’s install K3s first. I am using K3s for this tutorial as I find it a great reliable and lightweight distribution for K8s, perfect for development and edge (environments with limited resources) deployments. To install it you just need to run $ curl -sfL https://get.k3s.io | sh - That’s it! That is all what you need to do in order to have a functional Kubernetes cluster.

  • hub-feedback

    Feedback and bug reports for the Docker Hub

  • A docker registry account (you can create an account for free on dockerhub)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • go

    The Go programming language

  • Create a simple http server with golang

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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