My first DevOps job interview Part 2 of 3

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

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • node

    Node.js JavaScript runtime ✨🐢🚀✨

    In the last part I introduced in the exercises and talked about the complications I had with building a Dockerimage with Chrome inside on an arm64 platform. Also the used NodeJS app and its’ Dockerfile was presented. This part will be more about Kubernetes, setting up the Cluster and deploying the NodeJS app.

  • kubernetes

    Production-Grade Container Scheduling and Management

    In the last part I introduced in the exercises and talked about the complications I had with building a Dockerimage with Chrome inside on an arm64 platform. Also the used NodeJS app and its’ Dockerfile was presented. This part will be more about Kubernetes, setting up the Cluster and deploying the NodeJS app.

  • 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.

  • k3s

    Lightweight Kubernetes

    After creating the Dockerfile it was about setting up a Kubernetes cluster. Which program I use for this was up to me. In my DevOps with Kubernetes course we use k3d, this implements K3s in Docker. During the course I had not experienced any problems with this solution, so I was sure to use k3d to solve the assignments. Installing k3d on macOS is easy via Homebrew with brew install k3d. The cluster can then be created with k3d cluster create --port '8082:30080@agent[0]' -p 8081:80@loadbalancer --agents 2. The 8081:80@loadbalancer will allow our apps to be accessible to us via localhost:8081.

  • k3d

    Little helper to run CNCF's k3s in Docker

    After creating the Dockerfile it was about setting up a Kubernetes cluster. Which program I use for this was up to me. In my DevOps with Kubernetes course we use k3d, this implements K3s in Docker. During the course I had not experienced any problems with this solution, so I was sure to use k3d to solve the assignments. Installing k3d on macOS is easy via Homebrew with brew install k3d. The cluster can then be created with k3d cluster create --port '8082:30080@agent[0]' -p 8081:80@loadbalancer --agents 2. The 8081:80@loadbalancer will allow our apps to be accessible to us via localhost:8081.

  • HomeBrew

    🍺 The missing package manager for macOS (or Linux)

    After creating the Dockerfile it was about setting up a Kubernetes cluster. Which program I use for this was up to me. In my DevOps with Kubernetes course we use k3d, this implements K3s in Docker. During the course I had not experienced any problems with this solution, so I was sure to use k3d to solve the assignments. Installing k3d on macOS is easy via Homebrew with brew install k3d. The cluster can then be created with k3d cluster create --port '8082:30080@agent[0]' -p 8081:80@loadbalancer --agents 2. The 8081:80@loadbalancer will allow our apps to be accessible to us via localhost:8081.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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.

Suggest a related project

Related posts