GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

Overview

GoAccess Build Status GoAccess

What is it?

GoAccess is an open source real-time web log analyzer and interactive viewer that runs in a terminal on *nix systems or through your browser. It provides fast and valuable HTTP statistics for system administrators that require a visual server report on the fly. More info at: https://goaccess.io.

GoAccess Terminal Dashboard GoAccess HTML Dashboard

Features

GoAccess parses the specified web log file and outputs the data to the X terminal. Features include:

  • Completely Real Time
    All panels and metrics are timed to be updated every 200 ms on the terminal output and every second on the HTML output.

  • Minimal Configuration needed
    You can just run it against your access log file, pick the log format and let GoAccess parse the access log and show you the stats.

  • Track Application Response Time
    Track the time taken to serve the request. Extremely useful if you want to track pages that are slowing down your site.

  • Nearly All Web Log Formats
    GoAccess allows any custom log format string. Predefined options include, Apache, Nginx, Amazon S3, Elastic Load Balancing, CloudFront, etc.

  • Incremental Log Processing
    Need data persistence? GoAccess has the ability to process logs incrementally through the on-disk persistence options.

  • Only one dependency
    GoAccess is written in C. To run it, you only need ncurses as a dependency. That's it. It even features its own Web Socket server — http://gwsocket.io/.

  • Visitors
    Determine the amount of hits, visitors, bandwidth, and metrics for slowest running requests by the hour, or date.

  • Metrics per Virtual Host
    Have multiple Virtual Hosts (Server Blocks)? It features a panel that displays which virtual host is consuming most of the web server resources.

  • Color Scheme Customizable
    Tailor GoAccess to suit your own color taste/schemes. Either through the terminal, or by simply applying the stylesheet on the HTML output.

  • Support for Large Datasets
    GoAccess features the ability to parse large logs due to its optimized in-memory hash tables. It has very good memory usage and pretty good performance. This storage has support for on-disk persistence as well.

  • Docker Support
    Ability to build GoAccess' Docker image from upstream. You can still fully configure it, by using Volume mapping and editing goaccess.conf. See Docker section below.

Nearly all web log formats...

GoAccess allows any custom log format string. Predefined options include, but not limited to:

  • Amazon CloudFront (Download Distribution).
  • Amazon Simple Storage Service (S3)
  • AWS Elastic Load Balancing
  • Combined Log Format (XLF/ELF) Apache | Nginx
  • Common Log Format (CLF) Apache
  • Google Cloud Storage.
  • Apache virtual hosts
  • Squid Native Format.
  • W3C format (IIS).
  • Caddy's JSON Structured format.

Why GoAccess?

GoAccess was designed to be a fast, terminal-based log analyzer. Its core idea is to quickly analyze and view web server statistics in real time without needing to use your browser (great if you want to do a quick analysis of your access log via SSH, or if you simply love working in the terminal).

While the terminal output is the default output, it has the capability to generate a complete, self-contained, real-time HTML report, as well as a JSON, and CSV report.

You can see it more of a monitor command tool than anything else.

Installation

Build from release

GoAccess can be compiled and used on *nix systems.

Download, extract and compile GoAccess with:

$ wget https://tar.goaccess.io/goaccess-1.4.5.tar.gz
$ tar -xzvf goaccess-1.4.5.tar.gz
$ cd goaccess-1.4.5/
$ ./configure --enable-utf8 --enable-geoip=legacy
$ make
# make install

Build from GitHub (Development)

$ git clone https://github.com/allinurl/goaccess.git
$ cd goaccess
$ autoreconf -fiv
$ ./configure --enable-utf8 --enable-geoip=legacy
$ make
# make install

Distributions

It is easiest to install GoAccess on Linux using the preferred package manager of your Linux distribution. Please note that not all distributions will have the latest version of GoAccess available.

Debian/Ubuntu

# apt-get install goaccess

Note: It is likely this will install an outdated version of GoAccess. To make sure that you're running the latest stable version of GoAccess see alternative option below.

Official GoAccess Debian & Ubuntu repository

$ echo "deb https://deb.goaccess.io/ $(lsb_release -cs) main" | sudo tee -a /etc/apt/sources.list.d/goaccess.list
$ wget -O - https://deb.goaccess.io/gnugpg.key | sudo apt-key --keyring /etc/apt/trusted.gpg.d/goaccess.gpg add -
$ sudo apt-get update
$ sudo apt-get install goaccess

Note:

  • .deb packages in the official repo are available through HTTPS as well. You may need to install apt-transport-https.

Fedora

# yum install goaccess

Arch Linux

# pacman -S goaccess

Gentoo

# emerge net-analyzer/goaccess

OS X / Homebrew

# brew install goaccess

FreeBSD

# cd /usr/ports/sysutils/goaccess/ && make install clean
# pkg install sysutils/goaccess

OpenBSD

# cd /usr/ports/www/goaccess && make install clean
# pkg_add goaccess

openSUSE

# zypper ar -f obs://server:http http
# zypper in goaccess

OpenIndiana

# pkg install goaccess

pkgsrc (NetBSD, Solaris, SmartOS, ...)

# pkgin install goaccess

Windows

CowAxess is a GoAccess implementation for Windows systems. It is a packaging of GoAccess, Cygwin and many other related tools to make it a complete and ready-to-use solution for real-time web log analysis, all in a 4 MB package.

If you prefer to go the more tedious route, GoAccess can be used in Windows through Cygwin. See Cygwin's packages. Or through the Linux Subsystem on Windows 10.

Distribution Packages

GoAccess has minimal requirements, it's written in C and requires only ncurses. However, below is a table of some optional dependencies in some distros to build GoAccess from source.

Distro NCurses GeoIP (opt) GeoIP2 (opt) OpenSSL (opt)
Ubuntu/Debian libncursesw5-dev libgeoip-dev libmaxminddb-dev libssl-dev
RHEL/CentOS ncurses-devel geoip-devel libmaxminddb-devel openssl-devel
Arch Linux ncurses geoip libmaxminddb openssl
Gentoo sys-libs/ncurses dev-libs/geoip dev-libs/libmaxminddb dev-libs/openssl
Slackware ncurses GeoIP libmaxminddb openssl

Note: You may need to install build tools like gcc, autoconf, gettext, autopoint etc for compiling/building software from source. e.g., base-devel, build-essential, "Development Tools".

Docker

A Docker image has been updated, capable of directing output from an access log. If you only want to output a report, you can pipe a log from the external environment to a Docker-based process:

cat access.log | docker run --rm -i -e LANG=$LANG allinurl/goaccess -a -o html --log-format COMBINED - > report.html

OR real-time

cat access.log | docker run -p 7890:7890 --rm -i -e LANG=$LANG allinurl/goaccess -a -o html --log-format COMBINED --real-time-html - > report.html

You can read more about using the docker image in DOCKER.md.

Storage

Default Hash Tables

In-memory storage provides better performance at the cost of limiting the dataset size to the amount of available physical memory. GoAccess uses in-memory hash tables. It has very good memory usage and pretty good performance. This storage has support for on-disk persistence as well.

Command Line / Config Options

See options that can be supplied to the command or specified in the configuration file. If specified in the configuration file, long options need to be used without prepending --.

Usage / Examples

Note: Piping data into GoAccess won't prompt a log/date/time configuration dialog, you will need to previously define it in your configuration file or in the command line.

Getting Started

To output to a terminal and generate an interactive report:

# goaccess access.log

To generate an HTML report:

# goaccess access.log -a > report.html

To generate a JSON report:

# goaccess access.log -a -d -o json > report.json

To generate a CSV file:

# goaccess access.log --no-csv-summary -o csv > report.csv

GoAccess also allows great flexibility for real-time filtering and parsing. For instance, to quickly diagnose issues by monitoring logs since goaccess was started:

# tail -f access.log | goaccess -

And even better, to filter while maintaining opened a pipe to preserve real-time analysis, we can make use of tail -f and a matching pattern tool such as grep, awk, sed, etc:

# tail -f access.log | grep -i --line-buffered 'firefox' | goaccess --log-format=COMBINED -

or to parse from the beginning of the file while maintaining the pipe opened and applying a filter

# tail -f -n +0 access.log | grep -i --line-buffered 'firefox' | goaccess -o report.html --real-time-html -

Multiple Log files

There are several ways to parse multiple logs with GoAccess. The simplest is to pass multiple log files to the command line:

# goaccess access.log access.log.1

It's even possible to parse files from a pipe while reading regular files:

# cat access.log.2 | goaccess access.log access.log.1 -

Note: the single dash is appended to the command line to let GoAccess know that it should read from the pipe.

Now if we want to add more flexibility to GoAccess, we can use zcat --force to read compressed and uncompressed files. For instance, if we would like to process all log files access.log*, we can do:

# zcat --force access.log* | goaccess -

Note: On Mac OS X, use gunzip -c instead of zcat.

Real-time HTML outputs

GoAccess has the ability the output real-time data in the HTML report. You can even email the HTML file since it is composed of a single file with no external file dependencies, how neat is that!

The process of generating a real-time HTML report is very similar to the process of creating a static report. Only --real-time-html is needed to make it real-time.

# goaccess access.log -o /usr/share/nginx/html/your_site/report.html --real-time-html

To view the report you can navigate to http://your_site/report.html.

By default, GoAccess will use the host name of the generated report. Optionally, you can specify the URL to which the client's browser will connect to. See FAQ for a more detailed example.

# goaccess access.log -o report.html --real-time-html --ws-url=goaccess.io

By default, GoAccess listens on port 7890, to use a different port other than 7890, you can specify it as (make sure the port is opened):

# goaccess access.log -o report.html --real-time-html --port=9870

And to bind the WebSocket server to a different address other than 0.0.0.0, you can specify it as:

# goaccess access.log -o report.html --real-time-html --addr=127.0.0.1

Note: To output real time data over a TLS/SSL connection, you need to use --ssl-cert=<cert.crt> and --ssl-key=<priv.key>.

Filtering

Working with dates

Another useful pipe would be filtering dates out of the web log

The following will get all HTTP requests starting on 05/Dec/2010 until the end of the file.

# sed -n '/05\/Dec\/2010/,$ p' access.log | goaccess -a -

or using relative dates such as yesterdays or tomorrows day:

# sed -n '/'$(date '+%d\/%b\/%Y' -d '1 week ago')'/,$ p' access.log | goaccess -a -

If we want to parse only a certain time-frame from DATE a to DATE b, we can do:

# sed -n '/5\/Nov\/2010/,/5\/Dec\/2010/ p' access.log | goaccess -a -

If we want to preserve only certain amount of data and recycle storage, we can keep only a certain number of days. For instance to keep & show the last 5 days:

# goaccess access.log --keep-last=5

Virtual hosts

Assuming your log contains the virtual host field. For instance:

vhost.io:80 8.8.4.4 - - [02/Mar/2016:08:14:04 -0600] "GET /shop HTTP/1.1" 200 615 "-" "Googlebot-Image/1.0"

And you would like to append the virtual host to the request in order to see which virtual host the top urls belong to:

awk '$8=$1$8' access.log | goaccess -a -

To do the same, but also use real-time filtering and parsing:

tail -f  access.log | unbuffer -p awk '$8=$1$8' | goaccess -a -

To exclude a list of virtual hosts you can do the following:

# grep -v "`cat exclude_vhost_list_file`" vhost_access.log | goaccess -

Files, status codes and bots

To parse specific pages, e.g., page views, html, htm, php, etc. within a request:

# awk '$7~/\.html|\.htm|\.php/' access.log | goaccess -

Note, $7 is the request field for the common and combined log format, (without Virtual Host), if your log includes Virtual Host, then you probably want to use $8 instead. It's best to check which field you are shooting for, e.g.:

# tail -10 access.log | awk '{print $8}'

Or to parse a specific status code, e.g., 500 (Internal Server Error):

# awk '$9~/500/' access.log | goaccess -

Or multiple status codes, e.g., all 3xx and 5xx:

# tail -f -n +0 access.log | awk '$9~/3[0-9]{2}|5[0-9]{2}/' | goaccess -o out.html -

And to get an estimated overview of how many bots (crawlers) are hitting your server:

# tail -F -n +0 access.log | grep -i --line-buffered 'bot' | goaccess -

Tips

Also, it is worth pointing out that if we want to run GoAccess at lower priority, we can run it as:

# nice -n 19 goaccess -f access.log -a

and if you don't want to install it on your server, you can still run it from your local machine!

# ssh -n [email protected] 'tail -f /var/log/apache2/access.log' | goaccess -

Note: SSH requires -n so GoAccess can read from stdin. Also, make sure to use SSH keys for authentication as it won't work if a passphrase is required.

Troubleshooting

We receive many questions and issues that have been answered previously.

Incremental log processing

GoAccess has the ability to process logs incrementally through its internal storage and dump its data to disk. It works in the following way:

  1. A dataset must be persisted first with --persist, then the same dataset can be loaded with.
  2. --restore. If new data is passed (piped or through a log file), it will append it to the original dataset.
NOTES

GoAccess keeps track of inodes of all the files processed (assuming files will stay on the same partition), in addition, it extracts a snippet of data from the log along with the last line parsed of each file and the timestamp of the last line parsed. e.g., inode:29627417|line:20012|ts:20171231235059

First, it compares if the snippet matches the log being parsed, if it does, it assumes the log hasn't changed drastically, e.g., hasn't been truncated. If the inode does not match the current file, it parses all lines. If the current file matches the inode, it then reads the remaining lines and updates the count of lines parsed and the timestamp. As an extra precaution, it won't parse log lines with a timestamp ≤ than the one stored.

Piped data works based off the timestamp of the last line read. For instance, it will parse and discard all incoming entries until it finds a timestamp >= than the one stored.

Examples
// last month access log
# goaccess access.log.1 --persist

then, load it with

// append this month access log, and preserve new data
# goaccess access.log --restore --persist

To read persisted data only (without parsing new data)

# goaccess --restore

Contributing

Any help on GoAccess is welcome. The most helpful way is to try it out and give feedback. Feel free to use the Github issue tracker and pull requests to discuss and submit code changes.

Enjoy!

Owner
Gerardo O.
The one behind goaccess & gwsocket.
Gerardo O.
Real-time metrics for nginx server

ngxtop - real-time metrics for nginx server (and others) ngxtop parses your nginx access log and outputs useful, top-like, metrics of your nginx serve

Binh Le 6.4k Dec 22, 2022
pprofile + matplotlib = Python program profiled as an awesome heatmap!

pyheat Profilers are extremely helpful tools. They help us dig deep into code, find and understand performance bottlenecks. But sometimes we just want

Vishwas B Sharma 735 Dec 27, 2022
Call-graph profiling for TwinCAT 3

Twingrind This project brings profiling to TwinCAT PLCs. The general idea of the implementation is as follows. Twingrind is a TwinCAT library that inc

stefanbesler 10 Oct 12, 2022
Sampling profiler for Python programs

py-spy: Sampling profiler for Python programs py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spe

Ben Frederickson 9.5k Jan 08, 2023
Output provisioning profiles in a diffable way

normalize-profile This tool reads Apple's provisioning profile files and produces reproducible output perfect for diffing. You can easily integrate th

Keith Smiley 8 Oct 18, 2022
Prometheus integration for Starlette.

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

José Antonio Perdiguero 229 Dec 21, 2022
ASGI middleware to record and emit timing metrics (to something like statsd)

timing-asgi This is a timing middleware for ASGI, useful for automatic instrumentation of ASGI endpoints. This was developed at GRID for use with our

Steinn Eldjárn Sigurðarson 99 Nov 21, 2022
Display machine state using Python3 with Flask.

Flask-State English | 简体中文 Flask-State is a lightweight chart plugin for displaying machine state data in your web application. Monitored Metric: CPU,

622 Dec 18, 2022
Visual profiler for Python

vprof vprof is a Python package providing rich and interactive visualizations for various Python program characteristics such as running time and memo

Nick Volynets 3.9k Dec 19, 2022
Monitor Memory usage of Python code

Memory Profiler This is a python module for monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for pyth

3.7k Dec 30, 2022
Cross-platform lib for process and system monitoring in Python

Home Install Documentation Download Forum Blog Funding What's new Summary psutil (process and system utilities) is a cross-platform library for retrie

Giampaolo Rodola 9k Jan 02, 2023
Sentry is cross-platform application monitoring, with a focus on error reporting.

Users and logs provide clues. Sentry provides answers. What's Sentry? Sentry is a service that helps you monitor and fix crashes in realtime. The serv

Sentry 33k Jan 04, 2023
🚴 Call stack profiler for Python. Shows you why your code is slow!

pyinstrument Pyinstrument is a Python profiler. A profiler is a tool to help you 'optimize' your code - make it faster. It sounds obvious, but to get

Joe Rickerby 5k Jan 01, 2023
Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.

README for pympler Before installing Pympler, try it with your Python version: python setup.py try If any errors are reported, check whether your Pyt

996 Jan 01, 2023
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

GoAccess What is it? GoAccess is an open source real-time web log analyzer and interactive viewer that runs in a terminal on *nix systems or through y

Gerardo O. 15.6k Jan 02, 2023
Watch your Docker registry project size, then monitor it with Grafana.

Watch your Docker registry project size, then monitor it with Grafana.

Nova Kwok 33 Apr 05, 2022
Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.

starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat

Tomasz Wójcik 300 Dec 26, 2022
Cobalt Strike random C2 Profile generator

Random C2 Profile Generator Cobalt Strike random C2 Profile generator Author: Joe Vest (@joevest) This project is designed to generate malleable c2 pr

Threat Express 482 Jan 08, 2023
ScoutAPM Python Agent. Supports Django, Flask, and many other frameworks.

Scout Python APM Agent Monitor the performance of Python Django apps, Flask apps, and Celery workers with Scout's Python APM Agent. Detailed performan

Scout APM 59 Nov 26, 2022