dankush

dankush

dankush

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMaCK9z9ItcYZw0Hyly2ccx",
      "include_colab_link": true
    },
    "kernelspec": {

dankush

Docker Log Analysis and Troubleshooting Exercise

Objective

Deploy a Flask application in a Docker container, generate an error log, and use Docker commands to diagnose the issue.

Instructions

1. Access Play with Docker

• Go to https://labs.play-with-docker.com/ and log in
• Start a new session to access the Docker terminal

dankush

# -*- coding: utf-8 -*-
'''
DESCRIPTION
    Test Download PDF
AUTHOR
    Dan Kushner
'''
from http import HTTPStatus  # https://docs.python.org/3/library/http.html
from pathlib import Path
import requests

dankush

# --------------- AWS --------------------------------

# Another aspect to consider in your setup is how you’ll interact with the cloud. 
# Two tools I recommend are the AWS Command Line Interface (CLI) and HashiCorp Terraform.
# 1) AWS CLI
# Installing the AWS CLI is a two step process: install the tool with Homebrew and then configure it with your credentials.
# Installation is simple:
% brew install awscli

dankush

CREATE TABLE web_server
(
id INT PRIMARY KEY NOT NULL,
sisenseOwnerid character varying(720),
isTrial    character varying(60),
it character varying(60),
duration double precision,   

dankush

# (1) Tips and tricks for k8s usage

#Link to the k8s dash:

https://<ip>:6443/api/v1/namespaces/kube-system/services/https:kubernetes-dashboard:/proxy/#/pod?namespace=sisense
kubectl cluster-info

# k8s outocompletion bash
kubectl completion bash
source <(kubectl completion bash)

dankush

K8s Sisense assets restore

Supported:

• Cubes dbfarms
• MongoDB
• Zookeeper
• Plugins

Steps for the restore process:

dankush

K8s Sisense assets collector

Supported:

• Cubes dbfarms
• MongoDB
• Zookeeper
• Plugins

Steps for the backup process: