ppetko

#!/bin/bash

set -o pipefail

critical=0
state_replicated=0
state_swarm=0

DATE=`date +%Y-%m-%d-%H:%M:%S`

ppetko

package main

import (
	"fmt"
	"github.com/gorilla/mux"
	"github.com/gorilla/securecookie"
	"net/http"
)

// cookie handling

ppetko

#!/bin/bash

#####################################################################################
## docker-status.sh - Bash script that checks status for docker swarm services and nodes.
## Functions: 
# check_replication - Check if all stacks are running in service.
# check_swarm_nodes - Check if all nodes are reacheble and healthy. 
# check_swarm_services - Check if any of the services failed. 
#####################################################################################

ppetko

# --------------------------------------------------------------------
# Copyright (c) 2019 LINKIT, The Netherlands. All Rights Reserved.
# Author(s): Anthony Potappel
# 
# This software may be modified and distributed under the terms of the
# MIT license. See the LICENSE file for details.
# --------------------------------------------------------------------

# If you see pwd_unknown showing up, this is why. Re-calibrate your system.
PWD ?= pwd_unknown

ppetko

/*
For this implementation I'm using third party service for getting random data. 
*/

package main

import (
    "fmt"
    "io/ioutil"
    "net/http"

ppetko

/*

 Sources of randomness from the environment include inter-keyboard
 timings, inter-interrupt timings from some interrupts, and other
 events which are both non-deterministic and hard for an
 outside observer to measure.  Randomness from these sources are
 added to an entropy pool, which is mixed using a CRC-like function.
 As random bytes are mixed into the entropy pool, the routines keep
 an estimate of how many bits of randomness have been stored into
 the random number generator internal state.

ppetko

package main

import (
	"encoding/json"
	"fmt"
	"io/ioutil"
	"log"
	"net/http"
	"os"
	"strconv"

ppetko

#!/bin/bash

DATE=$(date +%Y-%m-%d-%H:%M:%S)

function log(){
    echo "$DATE INFO $@"
    return 0
}

function panic(){

ppetko

#!/bin/bash

DATE=`date +%Y-%m-%d-%H:%M`

NCOLORS=$(tput colors)
if [ $? -eq 0 ] && [ $NCOLORS -gt 0 ]; then
  BOLD=$(tput bold)
  RED=$(tput setaf 1)
  YELLOW=$(tput setaf 3)
  BLUE=$(tput setaf 6)

ppetko

## Red Hat AMQ Streams 

### Red Hat AMQ Streams is a massively scalable, distributed, and high performance data streaming platform based on the Apache Kafka® project. AMQ Streams provides an event streaming backbone that allows microservices and other application components to exchange data with extremely high throughput and low latency.

### The core capabilities include:
    * A pub/sub messaging model, similar to a traditional enterprise messaging system, in which application components publish and consume events to/from an ordered stream
    * The long term, fault-tolerant storage of events
    * The ability for a consumer to replay streams of events
    * The ability to partition topics for horizontal scalability