Justin Abrahms justinabrahms

New Relic Alert Condition Team Tagger

A utility for bulk-tagging New Relic alert conditions by team.

Features

Queries New Relic for all alert conditions without a "team" tag
Presents conditions one by one for interactive tagging
Smart team name matching:
Type full team name for exact match

github pull request querying

I’m querying review statuses for team so they can get a sense of who is doing all of the PR approvals and how long things are taking.

URL: https://github-url-here/api/graphql Header: Authorization: Bearer

query {
  search(query: "org:ORGHERE is:pr created:>2021-01-01", type: ISSUE, last: 50) {

mongod won't start.

If you've tried sudo service mongod start and it says it started but didn't, or maybe gives you a cryptic error.. consider removing the lock file at /edx/var/mongo/mongodb/mongod.lock and try again.

No locks available.

So, when running some tests, I got the error "No locks available". This post suggests NFS. The actual fix appears to be to restart rpcbind sudo service rpcbind restart which hung my vagrant VM. When it restarted, I got the error below, but things seemed to work as I wanted and I'm slowly backing away.

	apiVersion: tekton.dev/v1
	kind: Pipeline
	metadata:
	name: deployment-pipeline
	spec:
	params:
	- name: app-name
	type: string
	description: The name of the application
	- name: image-name

	import re
	from hashlib import sha256

	class Item(object):
	def __init__(self, item):
	self.item = item

	def __str__(self):
	return self.item['name']

	"""
	Fetches some valid oauth credentials from edX, using only the secret & app key.

	Based primarly off of the Facebook example in flask-oauth
	"""

	from flask import Flask, redirect, url_for, session, request
	from flask_oauth import OAuth

	#!/bin/sh
	# Originally from https://gist.github.com/dmkash/2355219

	SESSION_NAME="ccxcon"

	cd ~/src/github.com/mitodl/ccxcon

	tmux has-session -t ${SESSION_NAME}

	if [ $? != 0 ]

	"""Goal here is to obfuscate GPG blocks using markov chains.

	Steps:

	1. Train markov chain with some news articles on a similar topic.
	2. Take in a GPG armored ascii block.
	3. Use that input to determine which branch of the markov chain to walk.
	4. The result would be a new article similar to the inputs.
	5. The user could then take the same program, run it against the same
	inputs, and output the GPG block.

	npm i --production
	npx -p @cyclonedx/bom cyclonedx-node -o bom.json
	python ../license-scan.py