kkashyap1707

Please make fork of this, as this can be removed by Github.com sooner or later.

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kkashyap1707

Table of Contents

• References
• Other cheatsheets
• multiple gcloud config configurations
  • switch gcloud context with gcloud config
• auth
• info
• projects
• zones

kkashyap1707

KEY=XXXXXXXXXXXX
HOST="https://metrics.crisidev.org"

mkdir -p dashboards && for dash in $(curl -k -H "Authorization: Bearer $KEY" $HOST/api/search\?query\=\& |tr ']' '\n' |cut -d "," -f 5 |grep slug |cut -d\" -f 4); do 
  curl -k -H "Authorization: Bearer $KEY" $HOST/api/dashboards/db/$dash > dashboards/$dash.json 
done

kkashyap1707

#!/usr/bin/env python

import sqlite3
import json

"""
Quick quick script to set the datasource for grafana dashboards
"""

OLD_DATASOURCE = 'null'

kkashyap1707

#!/bin/bash

# deploy serverless stack
 serverless deploy \
        --stage "dev" \
        --region "us-east-1" \
        --service-name "my-service-name" \
        --slack-channel "#slack-alerts-example" \
        --webhook-url "https://hooks.slack.com/services/12345/12345/abcdefg" \
        --ecs-cluster-arn "arn:aws:ecs:us-east-1:123456:cluster/test-cluster"

kkashyap1707

Run a Job using Curl

This document describes how to use CURL to interact with the RunDeck server to invoke a Job to run.

The steps are as follows:

1. Authenticate to the RunDeck server and acquire a session cookie.
2. Submit run request for particular Job ID, sending session cookie.

kkashyap1707

# Reference: https://www.exclamationlabs.com/blog/continuous-deployment-to-npm-using-gitlab-ci/

# GitLab uses docker in the background, so we need to specify the 
# image versions. This is useful because we're freely to use
# multiple node versions to work with it. They come from the docker
# repo.
# Uses NodeJS V 9.4.0
image: node:9.4.0

# And to cache them as well.

kkashyap1707

Get PDF export of Grafana dashboard

Note

As currently described, this approach does not work. The reason for that is that creating a snapshot via the API does not actually populate any data, as described in e.g. https://community.grafana.com/t/snapshot-using-http-api-does-nothing/. An alternative approach which does work described in https://gist.github.com/svet-b/1ad0656cd3ce0e1a633e16eb20f66425.

Prerequisites

Packages:

• The jq JSON processing command line tool, which is available for most distributions (https://stedolan.github.io/jq/, sudo apt install jq)
• NodeJS, and the puppeteer package (npm install puppeteer), which is used to run headless Chrome

kkashyap1707

    """
    Generate PDF reports from data included in several Pandas DataFrames
    From pbpython.com
    """
    from __future__ import print_function
    import pandas as pd
    import numpy as np
    import argparse
    from jinja2 import Environment, FileSystemLoader
    from weasyprint import HTML

kkashyap1707

<div class="polls3">
  <table>
    <thead>
      <tr>
        {% for c in cols[:5] %}
        <th><div {% if c.lower() in ('grade', 'sample', 'weight') %}
                   style="text-align: center"
                 {% endif %}>
          {{c}}</div>