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aiosyslogd

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aiosyslogd is a high-performance, asynchronous Syslog server built with Python's asyncio. It is designed for efficiently receiving, parsing, and storing a large volume of syslog messages.

It features an optional integration with uvloop for a significant performance boost and can write messages to a SQLite database or Meilisearch, automatically creating monthly tables/indexes and maintaining a Full-Text Search (FTS) index for fast queries.

Key Features

  • Asynchronous: Built on asyncio to handle thousands of concurrent messages with minimal overhead.
  • Fast: Supports uvloop for a C-based event loop implementation, making it one of the fastest ways to run asyncio.
  • Flexible Database Backends:
    • SQLite Backend: Writes all incoming messages to a SQLite database. For easier maintenance and backup, it creates a separate database file for each month (e.g., syslog_YYYYMM.sqlite3). Each file contains a SystemEvents table and a corresponding SystemEvents_FTS virtual table using FTS5 for powerful full-text search.
    • Meilisearch Backend: Optionally stores messages in Meilisearch, a fast and lightweight search engine, with automatic monthly indexes and advanced search capabilities like filtering, sorting, and proximity precision.
  • Automatic Table/Index Management: Creates new database files (SQLite) or indexes (Meilisearch) for each month to keep the database organized and fast.
  • Full-Text Search: Automatically maintains an FTS5 virtual table (SystemEvents_FTS) for SQLite or fully indexed Meilisearch backend for powerful and fast message searching.
  • RFC5424 Conversion: Includes a utility to convert older RFC3164 formatted messages to the modern RFC5424 format.
  • Flexible Configuration: Configure the server via a simple aiosyslogd.toml file.
  • Web UI: A simple web interface for monitoring and searching logs, accessible via a web browser.
  • Container Support: Pre-built Docker/Podman images for easy deployment.

Running with Containers (Docker / Podman)

The most convenient way to run aiosyslogd is by using the pre-built container images available on Quay.io.

Image Tags

The container images are automatically built from the GitHub repository:

  • Pushes to the main branch will build the quay.io/cwt/aiosyslogd:latest image.
  • New version tags (e.g., v0.2.5) will automatically build a corresponding image (quay.io/cwt/aiosyslogd:v0.2.5).

Quick Start with Containers

1. Pull the Image

You can pull the latest image using Docker or Podman:

# Using Docker
docker pull quay.io/cwt/aiosyslogd:latest
# Using Podman
podman pull quay.io/cwt/aiosyslogd:latest

2. Run the Server

To run the server, you must mount a volume to the /data directory inside the container. This is critical for persisting your configuration and log data.

# Run the server using Docker
docker run -d \
  --name aiosyslogd-server \
  -p 5140:5140/udp \
  -v /path/to/your/data:/data \
  quay.io/cwt/aiosyslogd:latest
# Run the web UI using Docker
docker run -d \
  --name aiosyslogd-web \
  -p 5141:5141/tcp \
  -v /path/to/your/data:/data,ro \
  quay.io/cwt/aiosyslogd:latest \
    aiosyslogd-web

Note: Be sure to replace /path/to/your/data with a real path on your host machine (e.g., ~/.aiosyslogd/data).

Explanation of the command:

  • -d: Runs the container in detached mode (in the background).
  • --name aiosyslogd-server (or aiosyslogd-web for the web UI): Assigns a convenient name to your container.
  • -p 5140:5140/udp: Maps the syslog server port.
  • -p 5141:5141/tcp: Maps the web server port.
  • -v /path/to/your/data:/data: (IMPORTANT) Mounts a host directory into the container's data directory, and you should add ,ro to mount it as a read-only storage for the web UI.

On the first run, the server will not find a configuration file in the mounted /data volume and will create a default aiosyslogd.toml for you there. You can then edit this file on your host machine to re-configure the server and simply restart the container for the changes to take effect.

Installation

You can install the package directly from its source repository or via pip.

Standard Installation:

pip install aiosyslogd

For Maximum Performance (with uvloop/winloop):

To include the performance enhancements, install the speed extra:

pip install 'aiosyslogd[speed]'

Quick Start: Running the Server

The package installs a command-line script called aiosyslogd. You can run it directly from your terminal.

aiosyslogd

On the first run, if an aiosyslogd.toml file is not found in the current directory, the server will create one with default settings and then start.

The server will begin listening on 0.0.0.0:5140 and, if enabled in the configuration, create a syslog.sqlite3 file (SQLite) in the current directory or connect to Meilisearch.

Configuration

The server is configured using a TOML file. By default, it looks for aiosyslogd.toml in the current working directory.

Default aiosyslogd.toml

If a configuration file is not found, this default version will be created:

[server]
bind_ip = "0.0.0.0"
bind_port = 5140
debug = false
log_dump = false

[database]
driver = "sqlite"
batch_size = 100
batch_timeout = 5
sql_dump = false

[web_server]
bind_ip = "0.0.0.0"
bind_port = 5141
debug = false
redact = false

[database.sqlite]
database = "syslog.sqlite3"

[database.meilisearch]
url = "http://127.0.0.1:7700"
api_key = ""

Custom Configuration Path

You can specify a custom path for the configuration file by setting the AIOSYSLOGD_CONFIG environment variable.

export AIOSYSLOGD_CONFIG="/etc/aiosyslogd/config.toml"
aiosyslogd

When a custom path is provided, the server will not create a default file if it's missing and will exit with an error instead.

Configuration Options

Server Settings

These options control the main syslog server behavior:

Key Description Default
bind_ip The IP address the server should bind to. "0.0.0.0"
bind_port The UDP port to listen on. 5140
debug Set to true to enable verbose logging for syslog parsing errors. false
log_dump Set to true to print every received message to the console. false

Database Settings

These options control how messages are stored:

Key Description Default
driver The database backend to use ("sqlite" or "meilisearch"). "sqlite"
batch_size The number of messages to batch together before writing to the database. 100
batch_timeout The maximum time in seconds to wait before writing an incomplete batch. 5

SQLite Database Settings

Specific settings for SQLite backend:

Key Description Default
database The path to the SQLite database file. "syslog.sqlite3"
retention_months Number of months to retain old database files (SQLite only). 12
sql_dump Set to true to print the SQLite command and parameters before execution. false
debug Set to true to enable verbose logging for SQLite database operations. false

Note: When sql_dump is enabled, log_dump will be automatically disabled.

Automatic Cleanup of Old Databases:

The SQLite driver automatically deletes monthly database files older than the configured retention_months period. This cleanup runs:

  • On server startup
  • When switching to a new month's database file (at month boundaries)

The number of monthly database files is counted, keeping only the most recent retention_months files. For example, with retention_months = 12, only the 12 most recent monthly database files are kept.

Note: This includes the current month's file. If you want to retain the current month plus 11 older months, set retention_months = 12.

To delete all old database files, set retention_months = 0.

Meilisearch Database Settings

Specific settings for Meilisearch backend:

Key Description Default
url The URL of the Meilisearch instance. "http://127.0.0.1:7700"
api_key The API key for Meilisearch (optional). ""
debug Set to true to enable verbose logging for Meilisearch operations. false

Web Server Settings

These options control the web interface:

Key Description Default
bind_ip The IP address the web server should bind to. "0.0.0.0"
bind_port The TCP port the web server should listen on. 5141
debug Set to true to enable verbose logging for the web server. false
redact Set to true to redact sensitive information (user, IP, MAC). false
users_file The path to the JSON file for storing user credentials. "users.json"

Web Interface Authentication

The web interface now includes user authentication to protect access to logs.

First-time Setup

On the first run, aiosyslogd-web will create a users.json file in the same directory as your aiosyslogd.toml file. This file will contain a default admin user with the following credentials:

  • Username: admin
  • Password: admin

You will be required to log in with these credentials to access the web interface. It is highly recommended to change the default password after your first login.

Gemini Natural Language Search

The web interface includes an optional Gemini-powered natural language search feature that allows users to describe their search queries in natural language, which are then automatically converted to FTS5 syntax.

Setup

To enable this feature:

  1. Install the gemini extra: poetry install --extras "gemini"

Note: If you choose not to install the gemini extra, the Gemini button and related UI elements will be automatically hidden from the web interface. The rest of the web UI functionality remains available.

How to Use

  1. Access the Web Interface: Navigate to your aiosyslogd-web instance and log in with your credentials.

  2. Click the Gemini Button: Look for the Gemini logo button (🔍) next to the main search bar.

  3. Configure Gemini API Access (first time only):

    • If you haven't configured API access before, you'll see instructions to get your Gemini API key
    • Visit Google AI Studio to create an account and get your API key
    • Enter your API key in the modal and save it
    • Your API key is stored locally in your browser's localStorage and on the server session

  4. Manage Your API Key:

    • Go to your Profile page to save or clear your API key
    • Click "Save API Key" to store your key in browser's local storage
    • Click "Clear API Key" to remove your stored key

  5. Describe Your Search:

    • In the modal dialog, describe what you want to search for in natural language
    • Example: "Show me all error messages from server1"

  6. Get the Generated Query:

    • Gemini will convert your natural language to an appropriate FTS5 query
    • Review the generated query and click "Use This Query" to apply it to your search

Technical Details

  • The feature integrates with Google's Gemini API to convert natural language to FTS5 syntax
  • Generated queries use proper FTS5 operators like AND, OR, NOT, phrase matching, and wildcards
  • API keys are stored in browser's localStorage and used for authentication
  • All API communication is secured with CSRF protection
  • Uses the new google-genai library (the google-generativeai library has been deprecated)

Privacy Notice

  • Your Gemini API key is stored only in your browser's local storage
  • Search queries are sent to Google's Gemini API for processing using your API key
  • This ensures usage counts against your own quota
  • No logs or search history are stored on the aiosyslogd server as part of this feature

User Roles

There are two user roles:

  • Admin: Can view logs, manage users (add, edit, delete), and change their own password.
  • User: Can view logs and change their own password.

Managing Users (Admins only)

Admins can access the "Users" page from the navigation bar to:

  • Add new users: Provide a username, password, and specify if the user should be an admin.
  • Edit existing users: Change a user's password, admin status, and enable/disable their account.
  • Delete users: Remove a user from the system.

Changing Your Password

All users can change their own password by clicking on their username in the navigation bar and selecting "Profile".

Performance Tuning: Finding the Optimal batch_size

The database.batch_size setting is critical for performance. It controls how many log messages are grouped together before being written to the database.

  • A larger batch_size can be more efficient for the database but increases the risk of dropping logs under heavy load. If the database write takes too long, the server's incoming network buffer can overflow, causing the operating system to discard new messages.
  • A smaller batch_size results in quicker but more frequent database writes, reducing the risk of buffer overflow but potentially increasing I/O overhead.

The optimal batch_size depends heavily on your hardware (CPU, disk speed like NVMe vs. HDD) and network conditions. A batch_size of 100 is set as a safe default, but you can likely increase this for better performance.

Using the Log Generation Tool

A benchmarking script is included at scripts/loggen.py to help you find the optimal batch_size setting for your system.

  1. Prepare for Testing:

    • Set server.debug = true in your aiosyslogd.toml configuration file
    • Start aiosyslogd: $ aiosyslogd

  2. Run the Benchmark: Open another terminal and run the log generation script to send a large number of messages. For example, to send 100,000 logs:

    python scripts/loggen.py -n 100000

    The script will output the total number of messages sent.

  3. Monitor Server Logs: When the aiosyslogd server writes a batch, it logs the number of messages successfully written:

    [2025-06-18 19:30:00] [12345] [DEBUG] Successfully wrote 100 logs to 'syslog_202506.sqlite3'.

    Sum up the total number of logs written by the server and compare it to the number sent by loggen.py.

  4. Evaluate Results:

    • If the numbers match, your batch_size setting is appropriate for your system
    • If the server received fewer logs than sent, some messages were dropped

  5. Tune and Repeat:

    • If you see dropped logs (server received < 100,000), your batch_size is too high; decrease it
    • If all logs are received successfully, you can try increasing the batch_size in your aiosyslogd.toml file
    • Repeat the test to find the highest value your specific hardware can handle without dropping packets

Running as a Daemon with Auto-Startup

You can run aiosyslogd as a system service that automatically starts after server reboot. This section describes multiple approaches including Podman Quadlet (easiest), root-less systemd services, and traditional system services.

Podman Quadlet Setup (Easiest Method)

The easiest way to run aiosyslogd as a daemon is using Podman Quadlet, which allows you to define container services using simple configuration files.

1. Install Podman

Make sure Podman is installed on your system:

# On Ubuntu/Debian
sudo apt install podman
# On RHEL/CentOS/Fedora
sudo dnf install podman

2. Enable Podman Socket

Enable the Podman socket for root and/or user services:

# For root services
sudo systemctl enable --now podman.socket
# For user services (if running as non-root)
systemctl --user enable --now podman.socket

3. Create Quadlet Files

Create the Quadlet unit files in the appropriate directory:

For user services: ~/.config/containers/systemd/ For system services: /etc/containers/systemd/

File: ~/.config/containers/systemd/aiosyslogd.container (for user services) or /etc/containers/systemd/aiosyslogd.container (for system services)

[Unit]
Description=aiosyslogd - Asynchronous Syslog Server
After=network.target
Wants=network.target

[Container]
Image=quay.io/cwt/aiosyslogd:latest
Volume=%h/.aiosyslogd:/data
Network=slirp4netns
PublishPort=5140:5140/udp
Environment=AIOSYSLOGD_CONFIG=/data/aiosyslogd.toml
UserNS=keep-id

[Install]
WantedBy=default.target

File: ~/.config/containers/systemd/aiosyslogd-web.container (for user services) or /etc/containers/systemd/aiosyslogd-web.container (for system services)

[Unit]
Description=aiosyslogd-web - Web Interface for aiosyslogd
After=network.target
Wants=network.target
BindsTo=aiosyslogd.container

[Container]
Image=quay.io/cwt/aiosyslogd:latest
Volume=%h/.aiosyslogd:/data
Network=slirp4netns
PublishPort=5141:5141/tcp
Environment=AIOSYSLOGD_CONFIG=/data/aiosyslogd.toml
UserNS=keep-id
Exec=aiosyslogd-web

[Install]
WantedBy=default.target

4. Create Configuration Directory

Create a directory for your configuration files:

mkdir -p ~/.aiosyslogd
cd ~/.aiosyslogd

Copy the default configuration to this directory:

# If you have the source code, copy the default config from the config directory
# Or create it manually with your preferred editor
cp /path/to/aiosyslogd/config/default-aiosyslogd.toml ~/.aiosyslogd/aiosyslogd.toml

5. Start and Enable Services

Enable lingering for your user to allow services to start at boot even when not logged in (for user services):

sudo loginctl enable-linger $USER

Start and enable the services:

# For user services
systemctl --user daemon-reload
systemctl --user enable aiosyslogd
systemctl --user enable aiosyslogd-web
systemctl --user start aiosyslogd
systemctl --user start aiosyslogd-web
# For system services
sudo systemctl daemon-reload
sudo systemctl enable aiosyslogd
sudo systemctl enable aiosyslogd-web
sudo systemctl start aiosyslogd
sudo systemctl start aiosyslogd-web

Check the status of the services:

# For user services
systemctl --user status aiosyslogd
systemctl --user status aiosyslogd-web
# For system services
sudo systemctl status aiosyslogd
sudo systemctl status aiosyslogd-web

View logs for debugging:

# For user services
journalctl --user-unit aiosyslogd -f
journalctl --user-unit aiosyslogd-web -f
# For system services
sudo journalctl -u aiosyslogd -f
sudo journalctl -u aiosyslogd-web -f

Root-less Service Setup (Python Installation)

If you prefer to run aiosyslogd directly from a Python installation rather than containers, you can use systemd user services:

1. Install aiosyslogd

First, install aiosyslogd using pip:

# Install globally for all users
sudo pip install aiosyslogd
# Or install for a specific user
pip install --user aiosyslogd

2. Create Configuration Directory

Create a directory for your configuration files:

mkdir -p ~/.aiosyslogd
cd ~/.aiosyslogd

Copy the default configuration to this directory:

# If you have the source code, copy the default config from the config directory
# Or create it manually with your preferred editor
cp /path/to/aiosyslogd/config/default-aiosyslogd.toml ~/.aiosyslogd/aiosyslogd.toml

3. Enable User Services

Enable lingering for your user to allow services to start at boot even when not logged in:

sudo loginctl enable-linger $USER

4. Create Service Files

Create the systemd service files in ~/.config/systemd/user/:

mkdir -p ~/.config/systemd/user/

Create ~/.config/systemd/user/aiosyslogd.service:

[Unit]
Description=aiosyslogd - Asynchronous Syslog Server
After=network.target
Wants=network.target

[Service]
Type=simple
Restart=always
RestartSec=5
ExecStart=/usr/local/bin/aiosyslogd
WorkingDirectory=%h/.aiosyslogd
Environment=AIOSYSLOGD_CONFIG=%h/.aiosyslogd/aiosyslogd.toml
StandardOutput=journal
StandardError=journal

[Install]
WantedBy=default.target

Create ~/.config/systemd/user/aiosyslogd-web.service:

[Unit]
Description=aiosyslogd-web - Web Interface for aiosyslogd
After=network.target
Wants=network.target
Requires=aiosyslogd.service

[Service]
Type=simple
Restart=always
RestartSec=5
ExecStart=/usr/local/bin/aiosyslogd-web
WorkingDirectory=%h/.aiosyslogd
Environment=AIOSYSLOGD_CONFIG=%h/.aiosyslogd/aiosyslogd.toml
StandardOutput=journal
StandardError=journal

[Install]
WantedBy=default.target

5. Start and Enable Services

Reload the systemd daemon and start the services:

systemctl --user daemon-reload
systemctl --user enable aiosyslogd.service
systemctl --user enable aiosyslogd-web.service
systemctl --user start aiosyslogd.service
systemctl --user start aiosyslogd-web.service

Check the status of the services:

systemctl --user status aiosyslogd.service
systemctl --user status aiosyslogd-web.service

View logs for debugging:

journalctl --user-unit aiosyslogd.service -f
journalctl --user-unit aiosyslogd-web.service -f

Traditional System Service Setup (Python Installation)

If you need to run aiosyslogd as a system-wide service from a Python installation, create the following files in /etc/systemd/system/:

File: /etc/systemd/system/aiosyslogd.service

[Unit]
Description=aiosyslogd - Asynchronous Syslog Server
After=network.target
Wants=network.target

[Service]
Type=simple
Restart=always
RestartSec=5
User=aiosyslogd
Group=aiosyslogd
ExecStart=/usr/local/bin/aiosyslogd
WorkingDirectory=/var/lib/aiosyslogd
Environment=AIOSYSLOGD_CONFIG=/etc/aiosyslogd/aiosyslogd.toml
StandardOutput=journal
StandardError=journal

[Install]
WantedBy=multi-user.target

File: /etc/systemd/system/aiosyslogd-web.service

[Unit]
Description=aiosyslogd-web - Web Interface for aiosyslogd
After=network.target
Wants=network.target
Requires=aiosyslogd.service

[Service]
Type=simple
Restart=always
RestartSec=5
User=aiosyslogd
Group=aiosyslogd
ExecStart=/usr/local/bin/aiosyslogd-web
WorkingDirectory=/var/lib/aiosyslogd
Environment=AIOSYSLOGD_CONFIG=/etc/aiosyslogd/aiosyslogd.toml
StandardOutput=journal
StandardError=journal

[Install]
WantedBy=multi-user.target

Then create the user and setup directories:

# Create system user
sudo useradd -r -s /bin/false aiosyslogd

# Create directories
sudo mkdir -p /var/lib/aiosyslogd
sudo chown aiosyslogd:aiosyslogd /var/lib/aiosyslogd

# Copy configuration from the config directory
sudo cp /path/to/aiosyslogd/config/default-aiosyslogd.toml /etc/aiosyslogd/aiosyslogd.toml
sudo chown aiosyslogd:aiosyslogd /etc/aiosyslogd/aiosyslogd.toml

Finally, enable and start the services:

sudo systemctl daemon-reload
sudo systemctl enable aiosyslogd.service
sudo systemctl enable aiosyslogd-web.service
sudo systemctl start aiosyslogd.service
sudo systemctl start aiosyslogd-web.service

Integrating with rsyslog

You can use rsyslog as a robust, battle-tested frontend for aiosyslogd. This is useful for receiving logs on the standard privileged port (514) and then forwarding them to aiosyslogd running as a non-privileged user on a different port.

Here are two common configurations:

1. Forwarding from an Existing rsyslog Instance

If you already have an rsyslog server running and simply want to forward all logs to aiosyslogd, add the following lines to a new file in /etc/rsyslog.d/, such as 99-forward-to-aiosyslogd.conf. This configuration includes queueing to prevent log loss if aiosyslogd is temporarily unavailable.

File: /etc/rsyslog.d/99-forward-to-aiosyslogd.conf (or use the template from config/rsyslog-forward.conf)

$ActionQueueFileName fwdRule1 # unique name prefix for spool files
$ActionQueueMaxDiskSpace 1g   # 1gb space limit (use as much as possible)
$ActionQueueSaveOnShutdown on # save messages to disk on shutdown
$ActionQueueType LinkedList   # run asynchronously
$ActionResumeRetryCount -1    # infinite retries if host is down
*.* @127.0.0.1:5140

You can copy this configuration from the project's config directory:

sudo cp /path/to/aiosyslogd/config/rsyslog-forward.conf /etc/rsyslog.d/99-forward-to-aiosyslogd.conf
sudo systemctl restart rsyslog

2. Using rsyslog as a Dedicated Forwarder

If you want rsyslog to listen on the standard syslog port 514/udp and do nothing but forward to aiosyslogd, you can use a minimal configuration like this. This is a common pattern for privilege separation, allowing aiosyslogd to run as a non-root user.

File: /etc/rsyslog.conf (Minimal Example from config/rsyslog-minimal.conf)

$WorkDirectory /var/lib/rsyslog

$FileOwner root
$FileGroup adm
$FileCreateMode 0640
$DirCreateMode 0755
$Umask 0022

module(load="immark")
module(load="imuxsock")
module(load="imudp")
input(
	type="imudp"
	port="514"
)

$ActionQueueFileName fwdRule1
$ActionQueueMaxDiskSpace 1g
$ActionQueueSaveOnShutdown on
$ActionQueueType LinkedList
$ActionResumeRetryCount -1
*.* @127.0.0.1:5140

You can copy this configuration from the project's config directory:

sudo cp /path/to/aiosyslogd/config/rsyslog-minimal.conf /etc/rsyslog.conf
sudo systemctl restart rsyslog

Nginx Reverse Proxy Setup

For production deployments, it's recommended to put aiosyslogd-web behind a reverse proxy like nginx. This provides benefits like SSL termination, static file serving, and improved security.

Basic Nginx Configuration

Create a configuration file in /etc/nginx/sites-available/aiosyslogd:

server {
    listen 80;
    server_name your-domain.com;  # Change this to your domain

    # SSL configuration (recommended for production)
    # listen 443 ssl;
    # ssl_certificate /path/to/your/certificate.crt;
    # ssl_certificate_key /path/to/your/private.key;

    location / {
        proxy_pass http://127.0.0.1:5141;  # aiosyslogd-web default port
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;

        # WebSocket support if needed
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection "upgrade";

        # Timeouts
        proxy_connect_timeout 60s;
        proxy_send_timeout 60s;
        proxy_read_timeout 60s;
    }

    # Optional: Basic security headers
    add_header X-Frame-Options "SAMEORIGIN" always;
    add_header X-XSS-Protection "1; mode=block" always;
    add_header X-Content-Type-Options "nosniff" always;
}

Enable the site:

sudo ln -s /etc/nginx/sites-available/aiosyslogd /etc/nginx/sites-enabled/
sudo nginx -t  # Test configuration
sudo systemctl reload nginx

SSL/HTTPS Configuration

For secure access, configure SSL certificates. If you're using Let's Encrypt:

sudo apt install certbot python3-certbot-nginx
sudo certbot --nginx -d your-domain.com

This will automatically update your nginx configuration with SSL settings.

Using as a Library

You can also import and use the SyslogUDPServer in your own asyncio application.

import asyncio
from aiosyslogd.server import SyslogUDPServer

async def main():
    # The server is configured via aiosyslogd.toml by default.
    # To configure programmatically, you would need to modify the
    # server class or bypass the config-loading mechanism.
    server = await SyslogUDPServer.create(host="0.0.0.0", port=5141)

    loop = asyncio.get_running_loop()

    # Define the protocol factory as a simple function
    def server_protocol_factory():
        return server

    # Start the UDP server endpoint
    transport, protocol = await loop.create_datagram_endpoint(
        server_protocol_factory,
        local_addr=(server.host, server.port)
    )

    print("Custom server running. Press Ctrl+C to stop.")
    try:
        await asyncio.Event().wait()
    except (KeyboardInterrupt, asyncio.CancelledError):
        pass
    finally:
        print("Shutting down custom server.")
        transport.close()
        await server.shutdown()

if __name__ == "__main__":
    asyncio.run(main)

Contributing

Contributions are welcome! If you find a bug or have a feature request, please open an issue on the project's repository.

License

This project is licensed under the MIT License.

About

Asynchronous Syslog server using asyncio, with an optional uvloop integration and SQLite backend.

pypi.org/project/aiosyslogd/

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sqlite syslog asyncio syslogd

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v1.3.2 Latest
Feb 23, 2026
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