saurabh2590

┌─────────┬────────────────────────────────────┬────────────────────┬─────────────────────┬─────────────┬─────────────────┬───────────────┬────────────┬─────────┬───────────┬────────────┐
│ (index) │                name                │     namespace      │         cpu         │   memory    │      type       │ instanceCount │ memoryCost │ cpuCost │ totalCost │ perPodCost │
├─────────┼────────────────────────────────────┼────────────────────┼─────────────────────┼─────────────┼─────────────────┼───────────────┼────────────┼─────────┼───────────┼────────────┤
│    0    │           'calico-node'            │   'kube-system'    │        0.25         │      0      │  'V1DaemonSet'  │      10       │     0      │   36    │  '36.00'  │   '3.60'   │
│    1    │          'csi-ionoscloud'          │   'kube-system'    │          0          │      0      │  'V1DaemonSet'  │      10       │     0      │    0    │  '0.00'   │   '0.00'   │
│    2    │        'konnectivity-agent'        │   'kube-system'    │        0.016  

saurabh2590

Simulate in dev00

• Already visible in dev00

• Hypothesis:

• If we need to adapt livez Probe configuration --> https://github.com/bettermarks/bm-backend/pull/2903

  • default 1
  • liveness 10

saurabh2590

Note:

• This is something to consider and discuss if we should do it now or later, and I would love a healthy debate about the pros and cons of doing it now or later.

Context:

• We are going to turn on reading and writing both from MongoDB.
• I believe that it is going to increase the load on our MongoDB Atlas clusters
• Increased load means we may be required to use the large cluster size.
• The large size of the cluster means higher costs.
• The experiment aims to validate if MongoDB is a cost-effective & performant event store for the long run.

saurabh2590

import * as puppeteer from 'puppeteer';
import * as fs from 'fs';
import * as readline from 'readline';

async function downloadWebpageAsPdf(url: string, outputFilePath: string): Promise<void> {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();

  try {
    await page.goto(url, { waitUntil: 'networkidle2' });

saurabh2590

#!/usr/bin/python3

# Author: Timotheus Pokorra <[email protected]>
# source hosted at https://github.com/SolidCharity/exportMediaWiki2HTML
# licensed under the MIT license
# Copyright 2020-2021 Timotheus Pokorra

import os
from urllib import parse
import requests

saurabh2590

• Githhub
  • https://github.com/settings/notifications
  • Decide what you want to be notified
• Jira:
  • Can turn off email notifications or select what you care care about.
  • https://bettermarks.atlassian.net/secure/ViewPersonalSettings.jspa
• Confluence:
  • Can turn off all email notifications or select what you care about.
  • https://bettermarks.atlassian.net/wiki/users/viewmyemailsettings.action

saurabh2590

Generate name logic

Inputs

• We have two defined arrays for names, first part and last part. And theu are localised for country and languag. Please find example from DE.

"usernames": {
                "part1": "Adler\nAffen\nAmeisen\nAmsel\nAustern\nBienen\nBison\nDachs\nDelfin\nDino\nDrossel\nEinhorn\nElch\nElefanten\nElster\nEnten\nEulen\nFalken\nFisch\nFlamingo\nFliegen\nFloh\nForellen\nFrosch\nFuchs\nGiraffen\nGorilla\nHahnen\nHamster\nHasen\nHecht\nHirsch\nHummer\nIgel\nJaguar\nKatzen\nKoala\nKobra\nKorallen\nKrokodil\nLachs\nLama\nLemming\nLeoparden\nLuchs\nMaulwurfs\nMeisen\nNashorn\nOtter\nPanda\nPapageien\nPelikan\nPferde\nPinguin\nPuma\nQuallen\nRaben\nReh\nRobben\nSchafs\nSchnecken\nSchwalben\nSpatzen\nSpecht\nSpinnen\nStorchen\nTauben\nTiger\nUhu\nVogel\nWal\nWespen\nWolfs\nZebra", 
                "part2": "Acker\nAllee\nBach\nBerg\nBrunnen\nBurg\nChaussee\nDamm\nDorf\nFeld\nFelsen\nFlur\nForst\nGarten\nGasse\nGrund\nHaus\nHausen\nHeim\nHof\nInsel\nKoppel\nLand\nNest\nPark\nPlatz\nRi

saurabh2590

Traceback (most recent call last):
  File "/opt/rh/rh-python38/root/usr/local/lib/python3.8/site-packages/django/db/backends/utils.py", line 89, in _execute
    return self.cursor.execute(sql, params)
  File "/opt/rh/rh-python38/root/usr/local/lib/python3.8/site-packages/elasticapm/instrumentation/packages/dbapi2.py", line 211, in execute
    return self._trace_sql(self.__wrapped__.execute, sql, params)
  File "/opt/rh/rh-python38/root/usr/local/lib/python3.8/site-packages/elasticapm/instrumentation/packages/dbapi2.py", line 249, in _trace_sql
    result = method(sql, params)
psycopg2.OperationalError: server closed the connection unexpectedly
	This probably means the server terminated abnormally
	before or while processing the request.

saurabh2590

./gradlew build
Downloading https://services.gradle.org/distributions/gradle-7.3.3-bin.zip
...........10%...........20%...........30%...........40%...........50%...........60%...........70%...........80%...........90%...........100%

Welcome to Gradle 7.3.3!

Here are the highlights of this release:
 - Easily declare new test suites in Java projects
 - Support for Java 17
 - Support for Scala 3

saurabh2590

# Do not alert state UNKKNOWN
if [[ "${TYPE}" == "PROBLEM" && "${STATE}" == "UNKNOWN" ]] ; then
    EMAIL=false
    SMS=false
    X_SERVICE=$(echo "${SERVICE}" | tr -d '/')
    # Safe host and service in ${UNKNOWN_STATE} file
    echo "${HOST}: ${X_SERVICE}" >> ${UNKNOWN_STATE}
fi

# Remove host and service from ${UNKNOWN_STATE} file in case of new PROBLEM