Avoid Filling Your System with Docker Logs: A Quick Guide

If you’re using Docker, you might have noticed that over time, logs can accumulate and take up a significant amount of space on your system. This can be a concern, especially if you’re running containers that generate a lot of log data.

To help you avoid this issue, I’m sharing a quick configuration tweak for Docker. By adjusting the daemon.json file, you can limit the size and number of log files Docker retains.

Here’s the configuration:

  "log-driver": "json-file",
  "log-opts": {
    "max-size": "10m",
    "max-file": "1"

What does this configuration do?

  • "log-driver": "json-file": This ensures Docker uses the default json-file logging driver, which writes log messages in JSON format.
  • "log-opts": {...}: This section contains the logging options.
    • "max-size": "10m": Limits the maximum size of each log file to 10MB.
    • "max-file": "1": Restricts Docker to retain only one log file.

By implementing this configuration, you ensure that Docker only keeps a single log file with a maximum size of 10MB. Once the log reaches this size, Docker will rotate it, ensuring that old logs don’t eat up your storage.

To apply this configuration, simply add the above JSON to your daemon.json file, typically located at /etc/docker/daemon.json on Linux systems. After making the change, restart the Docker service.

I hope this tip helps you manage your Docker logs more efficiently. Happy containerizing! 🐳

HTTPie: The Next-Level Tool for Querying HTTP Resources

HTTPie is not only an intuitively designed tool, but it also offers user-friendly methods to send HTTP requests directly from the command line. For developers looking for a more elegant and visual approach than traditional tools like curl or wget, HTTPie comes as a refreshing solution.

Installing HTTPie Without System Packages

Sometimes, relying on system packages isn’t an option due to various constraints or the desire to always fetch the latest version directly. Here are three alternative methods to get the latest version of HTTPie:

Using curl with jq

curl -L -o http $(curl -s | jq -r ".assets[] | select(.name == \"http\") | .browser_download_url")

Using wget with jq

wget -O http $(wget -q -O - | jq -r ".assets[] | select(.name == \"http\") | .browser_download_url")

Python One-liner (Python 3)

python3 -c "from urllib.request import urlopen; from json import loads; open('http', 'wb').write(urlopen([asset['browser_download_url'] for asset in loads(urlopen('').read().decode())['assets'] if asset['name'] == 'http'][0]).read())"

These methods ensure you’re directly fetching the binary from the latest GitHub release, bypassing any potential system package cache limitations.

Exploring HTTPie’s Features with Examples

To truly appreciate the capabilities of HTTPie, one should explore its rich array of features. The official HTTPie Examples page showcases a variety of use cases. From simple GET requests to more complex POST requests with data, headers, and authentication, the examples provided make it evident why HTTPie stands out.

For instance, performing a simple GET request is as easy as:


Or, if you want to post data:

http POST Hello=World

Dive deeper into the examples to discover how HTTPie can simplify your HTTP querying experience.


HTTPie offers a refreshing approach to HTTP interactions, bringing clarity and simplicity to the command line. With flexible installation methods and an array of powerful features, it’s an indispensable tool for developers aiming for efficiency. Give HTTPie a try, and it might just become your go-to for all HTTP-related tasks!

A Quick Guide to Effective Logging in Python Using Structlog

Logging is a fundamental practice in software development for tracking and debugging applications. While Python’s built-in logging module gets the job done, Structlog takes logging to a new level by providing enhanced flexibility and customization options. In this guide, we’ll explore the basics of using Structlog for powerful and tailored logging in Python.


Start by installing Structlog using the following command:

pip install structlog

Basic Logging Setup

Structlog simplifies the process of setting up logging and offers versatile customization features. Here’s a basic example of how you can configure Structlog for logging:

import structlog
import logging
import os

level = os.environ.get("LOG_LEVEL", "INFO").upper()
LOG_LEVEL = getattr(logging, level)

logger = structlog.get_logger()

logger.debug("Database connection established")"Processing data from the API")
logger.warning("Resource usage is nearing capacity")
logger.error("Failed to save the file. Please check permissions")
logger.critical("System has encountered a critical failure. Shutting down")

Output Example:

2023-08-28T10:00:00Z [INFO] Processing data from the API
2023-08-28T10:00:00Z [WARNING] Resource usage is nearing capacity
2023-08-28T10:00:00Z [ERROR] Failed to save the file. Please check permissions
2023-08-28T10:00:00Z [CRITICAL] System has encountered a critical failure. Shutting down

Asynchronous Logging with asyncio

Structlog seamlessly supports asynchronous operations, making it compatible with asyncio:

import asyncio
import structlog

async def async_function():
    await logger.asyncinfo("Async log message")

Logging Exceptions with Tracebacks

Logging exceptions and their tracebacks is straightforward with Structlog:

import structlog

    result = 1 / 0
except ZeroDivisionError:
    logger.exception("Cannot divide one by zero!")

Traceback Output Example:

    "event": "Cannot divide one by zero!",
    "level": "error",
    "timestamp": "2023-07-31T07:00:31.526266Z",
    "exception": [
            "exc_type": "ZeroDivisionError",
            "exc_value": "division by zero",
            "syntax_error": null,
            "is_cause": false,
            "frames": [
                    "filename": "/home/stanley/structlog_demo/",
                    "lineno": 16,
                    "name": "<module>",
                    "line": "",
                    "locals": {
                        "__name__": "__main__",
                        "__doc__": "None",
                        "__package__": "None",
                        "__loader__": "<_frozen_importlib_external.SourceFileLoader object at 0xffffaa2f3410>",
                        "__spec__": "None",
                        "__annotations__": "{}",
                        "__builtins__": "<module 'builtins' (built-in)>",
                        "__file__": "/home/stanley/structlog_demo/",
                        "__cached__": "None",
                        "structlog": "\"<module 'structlog' from '/home/stanley/structlog_demo/venv/lib/python3.11/site-\"+32",
                        "logger": "'<BoundLoggerLazyProxy(logger=None, wrapper_class=None, processors=None, context_'+55"


Logging plays a vital role in maintaining and troubleshooting Python applications. Structlog empowers developers with its versatile capabilities and powerful features for effective logging. By referring to the examples provided in this guide, you’ll be well-equipped to implement Structlog in your projects. For more detailed exploration, consult the official Structlog documentation.

Happy logging!

Introducing Netshoot: A Powerful Network Troubleshooting Tool for Docker

Networking issues can be a real headache, especially when dealing with containerized applications. Whether it’s latency, routing problems, DNS resolution, firewall issues, or incomplete ARPs, network problems can significantly degrade application performance. Fortunately, there’s a powerful tool that can help you troubleshoot and resolve these issues: netshoot.

What is Netshoot?

Netshoot is a Docker container equipped with a comprehensive set of networking troubleshooting tools. It’s designed to help you diagnose and fix Docker and Kubernetes networking issues. With a proper understanding of how Docker and Kubernetes networking works and the right tools, you can troubleshoot and resolve these networking issues more effectively.

Understanding Network Namespaces

Before diving into the usage of netshoot, it’s essential to understand a key concept: Network Namespaces. Network namespaces provide isolation of the system resources associated with networking. Docker uses network and other types of namespaces (pid,mount,user, etc.) to create an isolated environment for each container. Everything from interfaces, routes, and IPs is completely isolated within the network namespace of the container.

The cool thing about namespaces is that you can switch between them. You can enter a different container’s network namespace, perform some troubleshooting on its network stack with tools that aren’t even installed on that container. Additionally, netshoot can be used to troubleshoot the host itself by using the host’s network namespace. This allows you to perform any troubleshooting without installing any new packages directly on the host or your application’s package.

Using Netshoot with Docker

Container’s Network Namespace

If you’re having networking issues with your application’s container, you can launch netshoot with that container’s network namespace like this:

$ sudo docker run -it --net container:<container_name> nicolaka/netshoot

Host’s Network Namespace

If you think the networking issue is on the host itself, you can launch netshoot with that host’s network namespace:

$ sudo docker run -it --net host nicolaka/netshoot

Network’s Network Namespace

If you want to troubleshoot a Docker network, you can enter the network’s namespace using nsenter. This is explained in the nsenter section below.

Using Netshoot with Docker Compose

You can easily deploy netshoot using Docker Compose using something like this:

version: "3.6"
    image: nicolaka/netshoot
      - nginx
    command: tcpdump -i eth0 -w /data/nginx.pcap
    network_mode: service:nginx
      - $PWD/data:/data

    image: nginx:alpine
      - 80:80

Included Packages

Netshoot includes a wide range of powerful tools for network troubleshooting. Here’s a list of the included packages along with a brief description of each:

  • apache2-utils: Utilities for web server benchmarking and server status monitoring.
  • bash: A popular Unix shell.
  • bind-tools: Tools for querying DNS servers.
  • bird: Internet routing daemon.
  • bridge-utils: Utilities for configuring the Linux Ethernet bridge.
  • busybox-extras: Provides several stripped-down Unix tools in a single executable.
  • conntrack-tools: Tools for managing connection tracking records.
  • curl: Tool for transferring data with URL syntax.
  • dhcping: Tool to send DHCP requests to DHCP servers.
  • drill: Tool similar to dig.
  • ethtool: Tool for displaying and changing NIC settings.
  • file: Tool to determine the type of a file.
  • fping: Tool to ping multiple hosts.
  • grpcurl: Command-line tool for interacting with gRPC servers.
  • iftop: Displays bandwidth usage on an interface.
  • iperf: Tool for measuring TCP and UDP bandwidth performance.
  • iperf3: A newer version of iperf.
  • iproute2: Collection of utilities for controlling TCP/IP networking.
  • ipset: Tool to manage IP sets.
  • iptables: User-space utility program for configuring the IP packet filter rules.
  • iptraf-ng: Network monitoring tool.
  • iputils: Set of small useful utilities for Linux networking.
  • ipvsadm: Utility to administer the IP Virtual Server services.
  • jq: Lightweight and flexible command-line JSON processor.
  • libc6-compat: Compatibility libraries for glibc.
  • liboping: C library to generate ICMP echo requests.
  • ltrace: A library call tracer.
  • mtr: Network diagnostic tool.
  • net-snmp-tools: Set of SNMP management tools.
  • netcat-openbsd: Networking tool known as the “Swiss army knife” of networking.
  • nftables: Successor to iptables.
  • ngrep: Network packet analyzer.
  • nmap: Network exploration tool and security scanner.
  • nmap-nping: Packet generation and response analysis tool.
  • nmap-scripts: Scripts for nmap.
  • openssl: Toolkit for the Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols.
  • py3-pip: Package installer for Python.
  • py3-setuptools: Python Distutils Enhancements.
  • scapy: Packet manipulation tool.
  • socat: Relay for bidirectional data transfer.
  • speedtest-cli: Command-line interface for testing internet bandwidth.
  • openssh: OpenSSH client and server.
  • strace: System call tracer.
  • tcpdump: Packet analyzer.
  • tcptraceroute: Traceroute implementation using TCP packets.
  • tshark: Network protocol analyzer.
  • util-linux: Miscellaneous system utilities.
  • vim: Highly configurable text editor.
  • git: Distributed version control system.
  • zsh: Unix shell.
  • websocat: Simple WebSocket client.
  • swaks: Swiss Army Knife for SMTP.
  • perl-crypt-ssleay: Perl module for OpenSSL.
  • perl-net-ssleay: Perl module for using OpenSSL.

With this extensive set of tools, netshoot is a powerful ally in diagnosing and resolving network issues in your Docker and Kubernetes environments. Whether you’re dealing with latency, routing problems, DNS resolution, firewall issues, or incomplete ARPs, netshoot has the tools you need to troubleshoot and fix these issues.

If you’re interested in trying out netshoot for yourself, you can find the project on GitHub at It’s a powerful tool that can help you troubleshoot and resolve network issues in your Docker and Kubernetes environments.

Serving Static Files with Docker and Darkhttpd

In this blog post, we’ll explore how to use Docker and the lightweight HTTP server, Darkhttpd, to serve static files. This setup is particularly useful when you need a simple web server for sharing files or hosting a static website. We’ll also discuss how to use a reverse proxy like Traefik to route external traffic to the Darkhttpd service.

Docker Compose Configuration

Below is the docker-compose.yml file that defines the Darkhttpd service:

version: '3.3'
    image: p3terx/darkhttpd
    container_name: darkhttpd
    restart: unless-stopped
      - './site:/www:ro'
    entrypoint: ["/darkhttpd","/www"]
        ipv4_address: your_ipv4_address
      name: your_network_name

Here’s a brief overview of the configuration:

  • The image field specifies the Docker image to use for the service.
  • The container_name field sets the name of the container.
  • The restart field configures the restart policy for the container.
  • The volumes field defines the volume mounts for the service.
  • The entrypoint field overrides the default entrypoint of the image.
  • The networks field specifies the networks that the service is connected to.

Setting Up the Service

  1. Create a directory named site in the same directory as the docker-compose.yml file. Place the static files you want to serve in this directory.
  2. Replace your_network, your_ipv4_address, and your_network_name in the docker-compose.yml file with the appropriate values for your setup.
  3. Run the following command to start the Darkhttpd service:
docker-compose up -d
  1. Access the static files by navigating to the IP address specified in the docker-compose.yml file.

Using a Reverse Proxy

To route external traffic to the Darkhttpd service, you can use a reverse proxy like Traefik. Configure the reverse proxy to forward requests to the IP address specified in the docker-compose.yml file.


Using Docker and Darkhttpd to serve static files is a simple and efficient solution for sharing files or hosting a static website. By adding a reverse proxy, you can easily route external traffic to the Darkhttpd service. This setup is ideal for scenarios where you need a lightweight web server without the overhead of a full-fledged web server like Apache or Nginx.

Enhancing SSH Security with StealthSSHAccess

In today’s interconnected world, maintaining the security of your server infrastructure is paramount. One critical point of vulnerability is the SSH (Secure Shell) service, which allows remote administration of servers. Despite using a non-default port, many administrators still find their servers bombarded with brute-force and denial-of-service attacks. To address this challenge, I’ve developed a solution called StealthSSHAccess.

The Problem

Attackers often employ brute force attacks to gain unauthorized access to servers via SSH. Even if you’ve changed the default SSH port, determined attackers can still discover the new port and target it. These attacks can lead to service disruption, unauthorized data access, and potential breaches of sensitive information.

The Solution: StealthSSHAccess

StealthSSHAccess is an innovative approach to managing remote SSH access while mitigating the risks associated with brute-force attacks. Let’s delve into how it works and why it’s an effective solution:

Dynamic Access Control

StealthSSHAccess takes a dynamic and personalized approach to SSH access control. It operates as a smart gateway between potential attackers and your SSH service. Here’s a simplified breakdown of how it functions:

  1. Monitoring for Intent: Instead of directly exposing the SSH port, StealthSSHAccess monitors a non-SSH TCP port for connection attempts. Attackers, unaware of this, can’t target the SSH port directly.
  2. Capture and Response: When an attempt is made on the monitored port, StealthSSHAccess captures the IP address of the requester. This initial connection attempt fails, serving as a signal of intent to access SSH.
  3. Secure Access Window: Based on this signal, StealthSSHAccess temporarily opens the SSH port exclusively for the captured IP address. This allows for a secure connection from that specific source.
  4. Time-Bound Access: Access is granted for a predetermined duration. If SSH access isn’t established within this timeframe, the port is automatically closed for that specific IP. This tightens the window of exposure and bolsters security.
  5. Automatic Closure: If the port remains unused during the allowed time, StealthSSHAccess automatically revokes access and closes the port. A continuous monitoring mechanism controls this process.

Benefits and Features

1. Enhanced Security: By hiding the SSH port from attackers, StealthSSHAccess reduces the attack surface and minimizes exposure to potential threats.

2. Selective Accessibility: With StealthSSHAccess, you control who gains access by simply attempting a connection to a specific port. This provides an additional layer of security.

3. Minimal Configuration: Implementing StealthSSHAccess is easy thanks to its Docker-based deployment. This means you can integrate it seamlessly into your existing system.

4. Persistence Across Restarts: StealthSSHAccess ensures continuity by persisting IP timer information across service interruptions or restarts. This keeps the system aware of pending access requests.

Getting Started with StealthSSHAccess

To deploy StealthSSHAccess, follow these steps:

  1. Requirements: Ensure you have Docker and Docker Compose installed.
  2. Configuration: Set up environment variables using the provided .env file. Customize parameters like LOGLEVEL, IFACE, PORT_TO_MONITOR, and more to match your environment.
  3. Building and Running: Build the images using docker-compose build, and then launch the services with docker-compose up -d.
  4. Data Persistence: IP timer data is stored in the ./data directory, so make sure it’s writable by the Docker user.
  5. Security Note: Be aware that these services run with privileged access due to their interaction with the system’s network configuration. Understand the security implications before deployment.


In the ongoing battle against cybersecurity threats, StealthSSHAccess stands as a beacon of innovative protection for your servers. By intelligently managing SSH access and responding dynamically to legitimate requests, this solution offers heightened security without sacrificing convenience. Whether you’re an administrator or a security-conscious user, consider integrating StealthSSHAccess into your infrastructure to safeguard your servers from the persistent threats of the digital landscape.

To explore the project, access the source code, and learn more about its implementation, visit the StealthSSHAccess GitHub repository. Remember, security is a journey, and with StealthSSHAccess, you’re taking a proactive step toward a more resilient and secure server environment.