Create a simple video test environment (Part 2)

In the first part we created the video test environment and you learned how to extend it. At the end of this tutorial you will know how to embed video content in the video test environment. Therefore, a few basics are shown around ffmpeg (how to create, edit and use videos).

Record and prepare some videos

The recording should contain video and sound and should be 5 minutes long. The content of the video does not matter!

As soon as a video is ready we have to create more.

Note: After this step you will have many video files which you will use

  • ./movie.mov (original)
  • ./demo.mp4 (converted)
  • ./src/demo_scaled.mp4 (converted and resized)
  • ./src/output.m3u8
  • ./src/\*.ts

Get in contact with ffmpeg

I assume that ffmpeg is properly installed and the test environment is running.

Stream videos

Stream from FaceTime HD Camera (macOS)

Create a simple video test environment

In this series I would like to clarify the following questions. How can you test local videos and videos provided by a server? What tools are there? How could the test environment look like? … So these tutorials should provide an entry into the subject of video testing. In this part, we will provide the test environment.

Specification

additional Software

Files

Project Structure

Prepare and run your test environment

The test environment will created by Vagrant. The Vagrant Base box needs to be provided with Debian 9. Therefore you have now 2 options. You can use a Debian 9 Base box from Vagrant cloud or you create your own. To create your own Debian 9 Base box you can use my Packer Git repository.

Please ensure, that the  Vagrantfile is properly configured (config.vm.box_url, config.vm.box) before start-up environment.

After successful start you will find some informations on start page about How-to create, modify, upload and stream videos. In second tutorial we will have a detailed look on it.

StartPage Video Test Environment

To understand the background somewhat better, take a look!

Develop some more

There are even more ways to publish video files (Media Streaming Server). You can easily expand the environment. Just customize/create the configurations and files in the “src” folder as well as the Vagrantfile. For Dynamic Adaptive Streaming over HTTP (DASH) support take a look here. This link opens the commercial software solution.

Note: You simply link the IDE with the “src” folder. To change the images and videos, just run vagant provisioner.

Download and install ffmpeg binaries on macOS

Currently official ffmpeg packages are available for Windows, Linux (Debian, Ubuntu, Fedora, RedHat) and macOS. You can download latest versions here.

Here now a solution for macOS users, if you don’t like to install many additional software on your system (static FFmpeg binaries).

Now some basic ffmpeg commands, which should work now. If you like,you can move the binary into directory “/usr/local/”.

Okay, that’s it for first tutorial.

CURL visualization via httpstat

CURL is awesome … but sometimes the feature for visualization of statistics is missing. Exactly here helps httpstat as an wrapper.

httpstat is available for different languages:

Prepare project

Since I am a Python lover I will also work with my favorite language provided by Xiao Meng. It’s a single file with no dependencies and compatible to Python 2.7 and 3.

Usage examples

Note: httpstat has a bunch of environment variables, please use help!

Fingerprinting with Spaghetti

In this tutorial I would like to introduce Spaghetti. Spaghetti is a cool project by m4ll0k on GitHub written in Python with less dependencies. The main idea behind Spaghetti is to find out fingerprints from Server, Web Frameworks, WAF, CMS, OS and languages. The following tutorial will show you how to set up and use spaghetti quickly and easily.

Requirements

  • Python (2.7.x)
  • Virtualenv

Prepare Project

Usage

Docker for Mac with insecure private registry

Sometimes you need an own Docker registry for testing purpose. Here a simple way to setup and use a private insecure registry. For production – don’t do that!

Requirements

Create insecure repository

SSH into your dedicated server…

Configure Docker for Mac

Start Docker for Mac and open “Preferences” – “Daemon”. Here just insert the IP plus specific port. When you are done press “Apply and Restart” button.

Docker for Mac Insecure registry

Build new image, tag and push

Create a new Dockerfile.

Now build the image, tag the image and push to your private registry.

Use insecure registry

Additional

You can see the images stored on your registry. Therefor SSH into your dedicated server again.

Simple Vault introduction

Today a tiny introduction to Vault from HashiCorp. I will just show the simplest usage. But this will help to get a first idea of Vault and the features.

Requirements

Preparation

Start Vault Server

Copy Root Token value to clipboard!!!

Insomnia

Create new environment “vault” under “Manage Environments” and store here your URL as “base_url” and Root Token as “api_key”.

insomnia vault environment

Now we create 4 simple requests

insomnia requests

for all requests we add Header

insomnia header

For first URL (POST: Add new secret) we use “{{ base_url }}/secret/MyFirstSecret” and we add following body as JSON.

After send the key:value is stored inside Vault. You can modify the request (e.q. “{{ base_url }}/secret/MySecondSecret”) and send some more.

Our next request is to show all keys (GET: Get list of secret keys) “{{ base_url }}/secret?list=true”. The Preview will show similar output.

insomnia get vault keys

3rd request is to get the value from a specific key (GET: Get value of specific secret) “{{ base_url }}/secret/MySecret”.

insomnia get vault value

Last request is for delete (DEL: Delete specific secret) “{{ base_url }}/secret/MySecret”.

Tipp: if you lost the root token (Vault server is running) you can find the value!

Shell linter evaluation and usage

Tomorrow, the 1st of August is a national holiday in Switzerland … So I do one day off and have some time. For a long time I wanted to deal with Shell lint. After some research, i found a few open-source tools. By the way … linters are being written for many programming languages and document formats.

Preparation

For evaluation i will not install the tools on my local system,… so Vagrant (with CentOS 7) is my choice.

Note: I created the Vagrant box “lupin/centos” via Packer … here my GitHub repository.

Shell option -n

Many shell’s already offer a very simple script analysis. The option -n read commands in script, but do not execute them (syntax check).

Okay … but not really what I want… (more details are welcome)

shlint and checkbashisms

I found the repository here.

Note: for both tools you should change the shebang to “#!/bin/sh”

For shlint… I don’t get it. For checkbashisms … good if will write portable Shell scripts.

bashate

I found it here on Pypi.

Nice … but not really all Standards.

Shellsheck

Shellcheck is known! Here the online service and here the repository.

I stay with that tool. Currently there are packages for almost every known OS.

Additional

Who knows me … knows that I do not like Installer and prefer Docker use. Here’s some fun.

😉 just for fun…

Docker, Telegraf, InfluxDB and Grafana

I have already presented various tutorials on docker monitoring. This time we will use Telegraf.

Project preparation

InfluxDB preparation

Telegraf preparation

… Read more about Telegraf on documentation page …

Note: The space after /etc is just because of security settings of my provider.

… after short time …

Grafana preparation

After login (admin:admin) you can add new Data Source.

Grafana InfluxDB Telegraf DataSource

Okay … all done … you can start to create Dashboards or search for existing Dashboards for import.