nightcrawler

Welcome to the Interview Questions Project repository! This project aims to be a comprehensive resource for technical interviews.

IMPORTANT> The tools you'll use in these exercises have a -h or --help command you can leverage if you are unsure how to proceed.

Requirements

• kubernetes cluster (k3d,minikube,etc..)
• container runtime (docker,containerd,podman)
• helm
• git
• python

Python exercise

API KEY: 3b93dbe006af066f0a0db26c13d3a15c

API DOCS:

• https://openweathermap.org/api/geocoding-api
• https://openweathermap.org/current

1. Setup a new python virtual enviroment and activate it
2. Within the virtual environment, install the package requirements file python/requirements
3. Set up an environment variable OW_API with the API KEY above as the value
4. Execute the python/weather.py script and resolve any errors
   1. Errors are printed to stdout as stack traces
   2. The script produces a blank output when there are no errors
   3. You may use print statements for debugging and/or refer to the API docs
5. Add a new, optional command line argument --units to the script for unit of measurement
   1. View the api docs for units
   2. Use the same default specified in the API docs
   3. Add the new argument as a parse arg after the existing two (e.g.--zip, --country)
6. Update endpoint url located in the get_daily_weather function to include units using the parse arg created in the previous step
7. Create a new function get_weather_string that returns a string containing the following data fields: temp, temp_min, temp_max, wind speed, and weather description
   1. This function should leverage the response in get_daily_weather
   2. View the API docs for the response JSON
   3. Only include the first weather description
   4. You may modify get_daily_weather if necessary
8. Call the new function and print out the result

Docker exercise

1. View the Dockerfile in images/nginx-http
2. Create a file hello.txt with the contents "Hello World!"
3. Place the new file within the /nginx/files directory
4. Build the Dockerfile and tag image as nginx:nightcrawler
5. Run docker image exposing port 8080
6. Access http server on localhost and view your hello.txt file

Helm Chart exercise

Service Docs: https://kubernetes.io/docs/concepts/services-networking/service/

1. Resolve issues with helm chart, there are multiple problems to fix
2. Add a NodePort service manifest to helm chart that will expose the nginx deployment
3. Name the service the same name as the deployment
4. Deploy the helm chart and curl the service

K8s Imperative exercise

1. Create pod with name nginx in the namespace interview using image nginx:latest
2. Check the logs of the pod

K8s Declaritive exercise

Init Container Docs: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/

1. Create a deployment manifest with the name httpd use the container httpd:latest
2. Add an init container to the manifest that uses the busybox image to echo hello world

Git exercise

1. Create a branch
2. Commit changes to branch
3. Run git log to check the commit history