Evgeniy Medvedev jidckii

Prometheus exporter for NGINX Unit metrics

The NGINX Unit control API includes a /status endpoint for usage statistics. This is a solution for exposing these metrics in Prometheus format.

The application (run by Unit) queries the /status URI on the control socket and converts the JSON response into Prometheus text format. PHP and Python implementations are available.

These instructions assume an existing Unit installation with a working configuration. We will add a new listener on the default prometheus port (9090) and route it directly to the Prometheus app.

Step 0. Install the preferred Unit language module (unit-php or unit-python)

Minimalist static FFmpeg build on Ubuntu 18.10 with Nvidia NVENC enabled.

Original guide with a standard build is here.

With this guide, I'm adding more instructions to enable support for NVIDIA CUVID and NVIDIA NPP for enhanced encode and decode performance.

First, prepare for the build and create the work space directory:

cd ~/

Build VAAPI with support for VP8/9 decode and encode hardware acceleration on a Skylake validation testbed:

Build platform: Ubuntu 16.04LTS.

First things first:

Install baseline dependencies first

sudo apt-get -y install autoconf automake build-essential libass-dev libtool pkg-config texinfo zlib1g-dev libva-dev cmake mercurial libdrm-dev libvorbis-dev libogg-dev git libx11-dev libperl-dev libpciaccess-dev libpciaccess0 xorg-dev intel-gpu-tools

DVRIP/Sonia Protocol

DVRIP/Sonia TCP protocol used by the Net Surveillance ActiveX plugin

1. Response Codes

Return code	Definition
100	Success
101	Unknown error
102	Version not supported
103	Illegal request

Compilation FFMpeg / NVENC + NVRESIZE + QSV + VAAPI + VDPAU + OpenCL

This gist will help you to compile ffmpeg with NVENC, QSV, VAAPI, VDPAU, and OpenCL support.

nVidia nvresize patch is outdated and not more compatible to the latest version of FFmpeg, so it's not included in this documentation.

(even if I've passed a lot of time at trying to make it compile... without any success)

Please don't rely on this page: https://developer.nvidia.com/ffmpeg, the implementation is a hack and was never been added to the main FFmpeg tree.

	import json
	import boto3
	import requests
	from datetime import datetime, timedelta

	CLIENT = boto3.client('ce')

	SLACK_WEBHOOK_URL = '' # Enter the slack webhook url.

	def lambda_handler(event, context):

	#!/bin/bash

	set -eu

	NAMESPACE=$1
	PVCNAME=$2
	TARGETZONE=$3

	# SNAPSHOTID is optional, if you did a snapshot already, you can pass it
	SNAPSHOTID=${4:-}

	# Edit your fish prompt with `funced fish_prompt` and
	# add the following to a desired place in the function.
	# Save the prompt after editing with `funcsave fish_prompt`.

	# Set a variable for workspace color.
	set -l tfworkspace_color (set_color green)

	# Append the workspace name at the current prompt position if
	# the directory contains a .terraform subdirectory
	if test -d .terraform

	#!/bin/bash

	#Verify the quality with difference bitrate ( crf no work with h264_videotoolbox use -b:v )
	#You can use the same audio codec change -c:a ac3 to -c:a copy i use it because it work my multimedia player
	for bitrate in 500k 1000k 1500k 2500k 3000k 3500k;do
	ffmpeg -i Movie.mkv -c:v h264_videotoolbox -c:a ac3 -b:a 128k -y -b:v $bitrate -ss 00:01:00 -t 00:00:10 Movie_$bitrate.mp4;
	done

	#With 2500k bitrate
	ffmpeg -i Movie.mkv -c:v h264_videotoolbox -c:a ac3 -b:a 128k -y -b:v $bitrate -b:a 128k Movie_$bitrate.mp4;

	# -- coding: utf8 --

	import av

	# Откроем ресурс на чтение
	input_resource = av.open(
	'rtmp://src_stream:1935/play'
	)
	# Откроем ресурс на запись.
	output_resource = av.open(