npearce

Install Openwhisk on docker in AWS

1. Get docker and docker-compose running on Amazon Linux 2: https://gist.github.com/npearce/6f3c7826c7499587f00957fee62f8ee9

2. git clone https://github.com/apache/incubator-openwhisk-devtools.git

3. cd incubator-openwhisk-devtools/docker-compose

4. make quick-start

npearce

UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.

Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/

Docker CE Install

sudo amazon-linux-extras install docker
sudo service docker start

npearce

// using `type -d` and `type -f` to isolate

// Change all directories to 775, and ignore files
find /home/user -type d -exec chmod 775 {} \;

// Change all files to 664, and ignore directories
find /home/user -type f -exec chmod 664 {} \;

npearce

//NOTE: the source permissions need to be set appropriately, also.
// npm i --save targz

const targz = require('targz')

targz.compress({
  src: '/tmp/mydirectory',
  dest: 'output/filename.tgz',
  tar: {
    dmode: 0775,  // Directories: rwxrwxr-x

npearce

About

The F5 iControl LX Framework enables engineers to create custom Nodejs control-plane actions/workflows for the F5 BIG-IP hardware and software appliances.

Put the RPM on the BIG-IP

Copy the RPM using scp (or some SCP capabe GUI tool).

SCP instructions

npearce

Create the Apache Kafka Container for BigStats on AWS

Updated: August 21, 2018

NOTE: This setup is used as an exporter destination for BigStats: https://npearce.github.io

Create the Instance

On the AWS Console:

1. In 'Instances', click 'Luanch Instance'.
2. Select 'Amazon Linux 2 AMI (HVM), SSD Volume Type'

npearce

Create the Grafana Dashboard Container for BigStats on AWS

Updated: August 21, 2018

NOTE: This setup is used as an exporter destination for BigStats: https://npearce.github.io

Create the Instance

On the AWS Console:

1. In 'Instances', click 'Luanch Instance'.
2. Select 'Amazon Linux 2 AMI (HVM), SSD Volume Type'

npearce

/**
 * Apply the new, or modified, service definition to the BIG-IP
 * @param {Object} service_def retireved from GitHub repo
 * 
 * @returns {Object} AS3's declaration processing results
 */
MyWorker.prototype.applyServiceDefinition = function (service_def) {

  return new Promise((resolve, reject) => {