Ddosify - High-performance load testing tool

Features

✔️ Protocol Agnostic - Currently supporting HTTP, HTTPS, HTTP/2. Other protocols are on the way.

✔️ Scenario-Based - Create your flow in a JSON file. Without a line of code!

✔️ Different Load Types - Test your system's limits across different load types.

Installation

ddosify is available via Docker, Homebrew Tap, and downloadable pre-compiled binaries from the releases page for macOS, Linux and Windows.

Docker

docker run -it --rm ddosify/ddosify

Homebrew Tap (macOS and Linux)

brew install ddosify/tap/ddosify

apk, deb, rpm, Arch Linux packages

• For arm architectures change ddosify_amd64 to ddosify_arm64 or ddosify_armv6.
• Superuser privilege is required.

# For Redhat based (Fedora, CentOS, RHEL, etc.)
rpm -i https://github.com/ddosify/ddosify/releases/latest/download/ddosify_amd64.rpm

# For Debian based (Ubuntu, Linux Mint, etc.)
wget https://github.com/ddosify/ddosify/releases/latest/download/ddosify_amd64.deb
dpkg -i ddosify_amd64.deb

# For Alpine
wget https://github.com/ddosify/ddosify/releases/latest/download/ddosify_amd64.apk
apk add --allow-untrusted ddosify_amd64.apk

# For Arch Linux
git clone https://aur.archlinux.org/ddosify.git
cd ddosify
makepkg -sri

Windows exe from the releases page

• Download *.zip file for your architecture. For example download ddosify version vx.x.x with amd64 architecture: ddosify_x.x.x.zip_windows_amd64
• Unzip ddosify_x.x.x_windows_amd64.zip
• Open Powershell or CMD (Command Prompt) and change directory to unzipped folder: ddosify_x.x.x_windows_amd64
• Run ddosify:

.\ddosify.exe -t target_site.com

Using the convenience script (macOS and Linux)

• The script requires root or sudo privileges to move ddosify binary to /usr/local/bin.
• The script attempts to detect your operating system (macOS or Linux) and architecture (arm64, x86, amd64) to download the appropriate binary from the releases page.
• By default, the script installs the latest version of ddosify.
• If you have problems, check common issues
• Required packages: curl and sudo

curl -sSfL https://raw.githubusercontent.com/ddosify/ddosify/master/scripts/install.sh | sh

Go install from source (macOS, Linux, Windows)

go install -v go.ddosify.com/ddosify@latest

Easy Start

This section aims to show you how to use Ddosify without deep dive into its details easily.

1. Simple load test

    ddosify -t target_site.com
   

   The above command runs a load test with the default value that is 100 requests in 10 seconds.

2. Using some of the features

    ddosify -t target_site.com -n 1000 -d 20 -p HTTPS -m PUT -T 7 -P http://proxy_server.com:80
   

   Ddosify sends a total of 1000 PUT requests to https://target_site.com over proxy http://proxy_server.com:80 in 20 seconds with a timeout of 7 seconds per request.

3. Usage for CI/CD pipelines (JSON output)

    ddosify -t target_site.com -o stdout-json | jq .avg_duration
   

   Ddosify outputs the result in JSON format. Then jq (or any other command-line JSON processor) fetches the avg_duration. The rest depends on your CI/CD flow logic.

4. Scenario based load test

    ddosify -config config_examples/config.json
   

   Ddosify first sends HTTP/2 POST request to https://test_site1.com/endpoint_1 using basic auth credentials test_user:12345 over proxy http://proxy_host.com:proxy_port and with a timeout of 3 seconds. Once the response is received, HTTPS GET request will be sent to https://test_site1.com/endpoint_2 along with the payload included in config_examples/payload.txt file with a timeout of 2 seconds. This flow will be repeated 20 times in 5 seconds and response will be written to stdout.

Details

You can configure your load test by the CLI options or a config file. Config file supports more features than the CLI. For example, you can't create a scenario-based load test with CLI options.

CLI Flags

ddosify [FLAG]

Load Types

Linear

ddosify -t target_site.com -l linear

Result:

Note: If the request count is too low for the given duration, the test might be finished earlier than you expect.

Incremental

ddosify -t target_site.com -l incremental

Result:

Waved

ddosify -t target_site.com -l waved

Result:

Config File

Config file lets you use all capabilities of Ddosify.

The features you can use by config file;

• Scenario creation
• Custom load type creation
• Payload from a file
• Multipart/form-data payload
• Extra connection configuration, like keep-alive enable/disable logic
• HTTP2 support

Usage;

ddosify -config <json_config_path>

There is an example config file at config_examples/config.json. This file contains all of the parameters you can use. Details of each parameter;

• request_count optional

  This is the equivalent of the -n flag. The difference is that if you have multiple steps in your scenario, this value represents the iteration count of the steps.

• load_type optional

  This is the equivalent of the -l flag.

• duration optional

  This is the equivalent of the -d flag.

• manual_load optional

  If you are looking for creating your own custom load type, you can use this feature. The example below says that Ddosify will run the scenario 5 times, 10 times, and 20 times, respectively along with the provided durations. request_count and duration will be auto-filled by Ddosify according to manual_load configuration. In this example, request_count will be 35 and the duration will be 18 seconds. Also manual_load overrides load_type if you provide both of them. As a result, you don't need to provide these 3 parameters when using manual_load.

  "manual_load": [
      {"duration": 5, "count": 5},
      {"duration": 6, "count": 10},
      {"duration": 7, "count": 20}
  ]

• proxy optional

  This is the equivalent of the -P flag.

• output optional

  This is the equivalent of the -o flag.

• steps mandatory

  This parameter lets you create your scenario. Ddosify runs the provided steps, respectively. For the given example file step id: 2 will be executed immediately after the response of step id: 1 is received. The order of the execution is the same as the order of the steps in the config file.

  Details of each parameter for a step;

  • id mandatory

    Each step must have a unique integer id.

  • url mandatory

    This is the equivalent of the -t flag.

  • name optional

    Name of the step.

  • protocol optional

    This is the equivalent of the -p flag.

  • method optional

    This is the equivalent of the -m flag.

  • headers optional

    List of headers with key:value format.

  • payload optional

    This is the equivalent of the -b flag.

  • payload_file optional

    If you need a long payload, we suggest using this parameter instead of payload.

  • payload_multipart optional

    Use this for multipart/form-data Content-Type.

    Accepts list of form-field objects, structured as below;

    {
        "name": [field-name],
        "value": [field-value|file-path|url],
        "type": <text|file>,    // Default "text"
        "src": <local|remote>   // Default "local"
    }

    Example: Sending form name-value pairs;

    "payload_multipart": [
        {
            "name": "[field-name]",
            "value": "[field-value]"
        }
    ]

    Example: Sending form name-value pairs and a local file;

    "payload_multipart": [
        {
            "name": "[field-name]",
            "value": "[field-value]",
        },
        {
            "name": "[field-name]",
            "value": "./test.png",
            "type": "file"
        }
    ]

    Example: Sending form name-value pairs and a local file and a remote file;

    "payload_multipart": [
        {
            "name": "[field-name]",
            "value": "[field-value]",
        },
        {
            "name": "[field-name]",
            "value": "./test.png",
            "type": "file"
        },
        {
            "name": "[field-name]",
            "value": "http://test.com/test.png",
            "type": "file",
            "src": "remote"
        }
    ]

    Note: Ddosify adds Content-Type: multipart/form-data; boundary=[generated-boundary-value] header to the request when using payload_multipart.

  • timeout optional

    This is the equivalent of the -T flag.

  • sleep optional

    Sleep duration(ms) before executing the next step. Can be an exact duration or a range.

    Example: Sleep 1000ms after step-1;

    "steps": [
        {
            "id": 1,
            "url": "target.com/endpoint1",
            "sleep": "1000"
        },
        {
            "id": 2,
            "url": "target.com/endpoint2",
        }
    ]

    Example: Sleep between 300ms-500ms after step-1;

    "steps": [
        {
            "id": 1,
            "url": "target.com/endpoint1",
            "sleep": "300-500"
        },
        {
            "id": 2,
            "url": "target.com/endpoint2",
        }
    ]

  • auth optional

    Basic authentication.

    "auth": {
        "username": "test_user",
        "password": "12345"
    }

  • others optional

    This parameter accepts dynamic key: value pairs to configure connection details of the protocol in use.

    "others": {
        "keep-alive": true,              // Default false
        "disable-compression": false,    // Default true
        "h2": true,                      // Enables HTTP/2. Default false.
        "disable-redirect": true         // Default false
    }

Common Issues

macOS Security Issue

"ddosify" can’t be opened because Apple cannot check it for malicious software.

• Open /usr/local/bin
• Right click ddosify and select Open
• Select Open
• Close the opened terminal

Communication

You can join our Discord Server for issues, feature requests, feedbacks or anything else.

More

This repository includes the single-node version of the Ddosify Loader. Ddosify Cloud will be available soon. It will support multi-location based distributed load testing and more features.

Join the waitlist: https://ddosify.com

Disclaimer

Ddosify is created for testing the performance of web applications. Users must be the owner of the target system. Using it for harmful purposes is extremely forbidden. Ddosify team & company is not responsible for its’ usages and consequences.

License

Licensed under the AGPLv3: https://www.gnu.org/licenses/agpl-3.0.html