asraful

# path on linux /usr/share/dbeaver/dbeaver.ini
# path on macos /Applications/DBeaverEE.app/Contents/Eclipse/dbeaver.ini
-vm
/usr/bin/java
-startup
plugins/org.eclipse.equinox.launcher_1.5.600.v20191014-2022.jar
--launcher.library
plugins/org.eclipse.equinox.launcher.gtk.linux.x86_64_1.1.1100.v20190907-0426
-vmargs
-XX:+IgnoreUnrecognizedVMOptions

asraful

# IF YOU INCUR HUGE COSTS WITH THIS OR IT BREAKS DON'T BLAME ME License

# This is a throw-away script I wrote to pull the json events for all of the streams from a cloudwatch log
# For some reason, the naive way to do vpc network logging does logging to different streams in a cloudwatch
# log based on interface.
# Great for diagnosing lots of things, and generating verbose logs, but for the broad-stroke analysis I was doing,
# all I really wanted was the basic data. This would have been easier if I had logged to s3, but I did not see a
# way to do that in 2 clicks.

group_name = 'CHANGEME'

asraful

Step 1: Configure the Amazon ECS CLI

ecs-cli configure --cluster ec2-tutorial --default-launch-type EC2 --config-name ec2-tutorial --region us-west-2

ecs-cli configure profile --access-key AWS_ACCESS_KEY_ID --secret-key AWS_SECRET_ACCESS_KEY --profile-name ec2-tutorial-profile

Step 2: Create Your Cluster

ecs-cli up --keypair id_rsa --capability-iam --size 2 --instance-type t2.medium --cluster-config ec2-tutorial --ecs-profile ec2-tutorial-profile

asraful

Step 1: Download the Amazon ECS CLI

sudo curl -Lo /usr/local/bin/ecs-cli https://amazon-ecs-cli.s3.amazonaws.com/ecs-cli-linux-amd64-latest

Step 2: Verify the Amazon ECS CLI using PGP signatures 
curl -Lo ecs-cli.asc https://amazon-ecs-cli.s3.amazonaws.com/ecs-cli-linux-amd64-latest.asc

Step 3: Apply Execute Permissions to the Binary 
sudo chmod +x /usr/local/bin/ecs-cli

asraful

{
    "$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#",
    "contentVersion": "1.0.0.0",
    "parameters":{
        "databaseForMySqlAdminName": {
            "type": "string"
        },
        "databaseForMySqlAdminPassword": {
            "type": "securestring"
        },

asraful

app.get('/demo', (req, res) => {
  
  const { createCanvas, loadImage } = require('canvas')
 
  var sizeOf = require('image-size');
 
  var dimensions = sizeOf('sample.jpg');

  const width = dimensions.width;
  const height = dimensions.height;

asraful

1. Naviagte to the directory and execute bellow command : 

sudo docker build . -f Dockerfile

2.Tag the build image :

sudo docker tag <image id > rmlregistry.azurecr.io/<name>:latest

3. Login to azure registry

asraful

#!/bin/sh

WK_DIRECTORY=$1
WK_BUCKET=$2
JOB_INTERVAL=$3

pip install --user awscli --upgrade

command="/usr/local/bin/aws s3 sync $WK_DIRECTORY s3://$WK_BUCKET"

asraful

# ------------------------------------------------------------------------------
#   Sample Configuration file : config.txt
#   [rds_config]
#   run_rds_test_scripts = false
#
#   [mysql]
#   arn = "any_value"
#   host = "any_value"
#------------------------------------------------------------------------------

asraful

<configuration>
    <appender name="FILE" class="ch.qos.logback.core.FileAppender">
      <file>myapp.log</file>
      <encoder><pattern>%logger{35} - [%F:%L] - %msg%n</pattern></encoder>
    </appender>

    <appender name="ASYNC" class="ch.qos.logback.classic.AsyncAppender">
      <appender-ref ref="FILE" />
      <!-- add the following line -->
      <includeCallerData>true</includeCallerData>