#containerization — Public Fediverse posts

Podman rootless containers and the Copy Fail exploit

https://garrido.io/notes/podman-rootless-containers-copy-fail/

#HackerNews #Podman #rootless #containers #Copy #Fail #exploit #cybersecurity #containerization #tech #news

Podman rootless containers and the Copy Fail exploit

https://garrido.io/notes/podman-rootless-containers-copy-fail/

#HackerNews #Podman #rootless #containers #Copy #Fail #exploit #cybersecurity #containerization #tech #news

Podman rootless containers and the Copy Fail exploit

https://garrido.io/notes/podman-rootless-containers-copy-fail/

#HackerNews #Podman #rootless #containers #Copy #Fail #exploit #cybersecurity #containerization #tech #news

Podman rootless containers and the Copy Fail exploit

https://garrido.io/notes/podman-rootless-containers-copy-fail/

#HackerNews #Podman #rootless #containers #Copy #Fail #exploit #cybersecurity #containerization #tech #news

Podman rootless containers and the Copy Fail exploit

https://garrido.io/notes/podman-rootless-containers-copy-fail/

#HackerNews #Podman #rootless #containers #Copy #Fail #exploit #cybersecurity #containerization #tech #news

Podman 6 is now targeted for release the week of May 25 at the earliest, allowing the team additional time to complete major release tasks.
https://linuxiac.com/podman-6-container-management-tool-set-for-late-may-release/

#podman #containerization #opensource

Podman 6 is now targeted for release the week of May 25 at the earliest, allowing the team additional time to complete major release tasks.
https://linuxiac.com/podman-6-container-management-tool-set-for-late-may-release/

#podman #containerization #opensource

Podman 6 is now targeted for release the week of May 25 at the earliest, allowing the team additional time to complete major release tasks.
https://linuxiac.com/podman-6-container-management-tool-set-for-late-may-release/

#podman #containerization #opensource

Podman 6 is now targeted for release the week of May 25 at the earliest, allowing the team additional time to complete major release tasks.
https://linuxiac.com/podman-6-container-management-tool-set-for-late-may-release/

#podman #containerization #opensource

Podman 6 is now targeted for release the week of May 25 at the earliest, allowing the team additional time to complete major release tasks.
https://linuxiac.com/podman-6-container-management-tool-set-for-late-may-release/

#podman #containerization #opensource

Should I Run Plain Docker Compose in Production in 2026?

https://distr.sh/blog/running-docker-in-production/

#HackerNews #Docker #Compose #Production #2026 #DevOps #Best #Practices #Containerization

Should I Run Plain Docker Compose in Production in 2026?

https://distr.sh/blog/running-docker-in-production/

#HackerNews #Docker #Compose #Production #2026 #DevOps #Best #Practices #Containerization

Should I Run Plain Docker Compose in Production in 2026?

https://distr.sh/blog/running-docker-in-production/

#HackerNews #Docker #Compose #Production #2026 #DevOps #Best #Practices #Containerization

Should I Run Plain Docker Compose in Production in 2026?

https://distr.sh/blog/running-docker-in-production/

#HackerNews #Docker #Compose #Production #2026 #DevOps #Best #Practices #Containerization

Should I Run Plain Docker Compose in Production in 2026?

https://distr.sh/blog/running-docker-in-production/

#HackerNews #Docker #Compose #Production #2026 #DevOps #Best #Practices #Containerization

🥩🥩Mr T-Bone tip!🥩🥩[New from Tech Community]
Love containers on AKS? Check out how Kata microVMs beef up security and keep escape artists at bay! 🐧🔐

#CloudSecurity #Containerization #MVPBuzz #Security #MicrosoftTechCommunity

👉👉 https://tip.tbone.se/r7nEKL
[AI generated, Human reviewed]

Pro-Grade Ham Radio Displays: Integrating OpenHamClock into PiSignage

758 words, 4 minutes read time.

A Helping Hand Needed for a Fellow Programmer

I’m reaching out to see if you can lend a hand to a talented software developer who’s currently on the job hunt. With over 30 years of experience in C#, .NET (Core/6–8), REST APIs, SQL Server, Angular/Razor, Kubernetes, and cloud CI/CD, he’s a seasoned pro with a proven track record of leading modernization projects and delivering production systems.

Some of his notable accomplishments include DB2 to SQL migrations, building real-time SignalR apps, and developing full-stack API and frontend projects. Based in Southeast Michigan, he’s looking for senior engineering, architecture, or technical lead roles that will challenge him and utilize his skills.

If you’re in a position to help, you can check out his resume and portfolio at http://charles.friasteam.com.

Let’s all look out for each other – if you know of any opportunities that might be a good fit, could you please consider passing this along to your network?

—

If you are a ham radio operator, you know that a HamClock is the ultimate shack companion. But what if you want to move beyond a dedicated small screen and integrate that data-rich display into a professional digital signage environment?

By using PiSignage, you can rotate your HamClock with other station metrics, weather, or club announcements. However, getting a clean, secure, and “pop-up free” experience requires a few tricks.

In this post, I’ll show you how to deploy OpenHamClock using Docker and how to strip away the UI clutter for a seamless kiosk experience.

The Setup

To follow along, you will need a PiSignage server instance. I personally run mine as a Docker container, which keeps the server stack isolated and easy to back up.

1. The Docker Compose Configuration

PiSignage and modern browsers often require secure contexts (HTTPS) for certain features. Since the standard HamClock output is HTTP, we’ll use a two-service setup: the clock itself and a lightweight SSL-wrap sidecar using socat and openssl.

docker-componse.yml

 services:    openhamclock:      image: ghcr.io/accius/openhamclock:latest      container_name: openhamclock      expose:        - "3000"      environment:        - CALLSIGN=<CALL SIGN>        - LOCATOR=<Grid Square Locator>        - THEME=dark        - UNITS=imperial      restart: unless-stopped     ssl-wrap:      image: alpine      container_name: hamclock-ssl      ports:        - "3000:3000"      command: >        sh -c "apk add --no-cache socat openssl &&                openssl req -x509 -newkey rsa:2048 -keyout /tmp/key.pem -out /tmp/cert.pem -days 365 -nodes -subj '/CN=localhost' &&               cat /tmp/cert.pem /tmp/key.pem > /tmp/combined.pem &&               socat OPENSSL-LISTEN:3000,cert=/tmp/combined.pem,verify=0,fork,reuseaddr TCP:openhamclock:3000"      restart: unless-stopped 

2. Silencing the “What’s New” Pop-ups

When using HamClock as a signage element, you want it to be “set and forget.” The “What’s New” slide-ins are helpful for desktop users but ruin a clean kiosk display.

While there is a formal change request pending for a toggle, you can currently “force” these elements to stay hidden by injecting a bit of CSS directly into the distribution files. Run this command within your app environment:

find /app/dist -name "*.css" -exec sh -c 'echo "div[style*=\"whatsNewSlideIn\"], div[style*=\"backdrop-filter\"] { display: none !important; }" >> {}' \;

3. Setting Up the Slide in PiSignage

Once your containers are humming along, you need to tell PiSignage how to display the clock.

Create the Weblink Asset

1. Log in to your PiSignage Admin Panel.
2. Navigate to Assets > Add > Weblink.
3. Fill in the details:
   • Name: OpenHamClock
   • Link Address: https://<YOUR-HOSTNAME>:3000/?kiosk=true
4. Click Save.

Pro Tip: The ?kiosk=true suffix is critical. It tells HamClock to hide its own internal menus and headers, giving you a dedicated, high-contrast dashboard perfect for a wall-mounted display.

Deploy to Your Player

1. Go to Playlists and add your new “OpenHamClock” asset.
2. Set the Duration: Set this to 0 for a permanent display, or a high number (like 300 for 5 minutes) if it’s part of a rotation.
3. Go to Groups, select your player, and deploy the playlist.

Your screen should refresh and show a beautiful, clean HamClock interface within seconds!

Running PiSignage in Docker?

For those of you looking to keep your entire server stack contained, running the PiSignage central server in Docker is the way to go. It keeps your host OS clean and makes management a breeze.

If you’d like me to discuss how to set up a dockerized PiSignage server, please comment below!

— 73 —

Call to Action

Getting this stack to play nice wasn’t a “one-and-done” install. It was a hard-fought process that took multiple attempts to finally crack the code on bypassing those “What’s New” screens and forcing a clean kiosk display. But the victory is in the uptime.

Don’t just lurk. If you’ve got the guts to show how you’re rebuilding your station on the wreckage of the old ways, drop a comment below. How are you occupying the victory today?

D. Bryan King

Sources

• OpenHamClock GitHub Repository (accius)
• Original HamClock Source by Clear Sky Institute
• PiSignage Official Documentation
• Docker Compose Specification and Documentation
• Alpine Linux Official Docker Image
• Socat Man Page – Multipurpose Relay Tool
• OpenSSL Official Documentation
• Maidenhead Locator System Overview
• Deep Dive: HamClock on Raspberry Pi
• PiSignage Server Docker Implementation
• Raspberry Pi Kiosk Mode Configuration
• MDN Web Docs: CSS Display Property
• Docker CMD vs Entrypoint Explained
• Understanding Self-Signed SSL Certificates
• ARRL: Understanding Grid Squares
• CSS Attribute Selectors (For Style Injection)
• Docker Container Networking Guide
• Linux Find Command Documentation
• Portainer: Managing Dockerized Signage Stacks
• PiSignage Community Support Forum

Disclaimer:

I love sharing what I’m learning, but please keep in mind that everything I write here—including this post—is just my personal take. These are my own opinions based on my research and my understanding of things at the time I’m writing them. Since life moves way too fast and things change quickly, please use your own best judgment and consult the experts for your specific situations!

Related Posts

Rate this:

Pro-Grade Ham Radio Displays: Integrating OpenHamClock into PiSignage

758 words, 4 minutes read time.

A Helping Hand Needed for a Fellow Programmer

I’m reaching out to see if you can lend a hand to a talented software developer who’s currently on the job hunt. With over 30 years of experience in C#, .NET (Core/6–8), REST APIs, SQL Server, Angular/Razor, Kubernetes, and cloud CI/CD, he’s a seasoned pro with a proven track record of leading modernization projects and delivering production systems.

Some of his notable accomplishments include DB2 to SQL migrations, building real-time SignalR apps, and developing full-stack API and frontend projects. Based in Southeast Michigan, he’s looking for senior engineering, architecture, or technical lead roles that will challenge him and utilize his skills.

If you’re in a position to help, you can check out his resume and portfolio at http://charles.friasteam.com.

Let’s all look out for each other – if you know of any opportunities that might be a good fit, could you please consider passing this along to your network?

—

If you are a ham radio operator, you know that a HamClock is the ultimate shack companion. But what if you want to move beyond a dedicated small screen and integrate that data-rich display into a professional digital signage environment?

By using PiSignage, you can rotate your HamClock with other station metrics, weather, or club announcements. However, getting a clean, secure, and “pop-up free” experience requires a few tricks.

In this post, I’ll show you how to deploy OpenHamClock using Docker and how to strip away the UI clutter for a seamless kiosk experience.

The Setup

To follow along, you will need a PiSignage server instance. I personally run mine as a Docker container, which keeps the server stack isolated and easy to back up.

1. The Docker Compose Configuration

PiSignage and modern browsers often require secure contexts (HTTPS) for certain features. Since the standard HamClock output is HTTP, we’ll use a two-service setup: the clock itself and a lightweight SSL-wrap sidecar using socat and openssl.

docker-componse.yml

 services:    openhamclock:      image: ghcr.io/accius/openhamclock:latest      container_name: openhamclock      expose:        - "3000"      environment:        - CALLSIGN=<CALL SIGN>        - LOCATOR=<Grid Square Locator>        - THEME=dark        - UNITS=imperial      restart: unless-stopped     ssl-wrap:      image: alpine      container_name: hamclock-ssl      ports:        - "3000:3000"      command: >        sh -c "apk add --no-cache socat openssl &&                openssl req -x509 -newkey rsa:2048 -keyout /tmp/key.pem -out /tmp/cert.pem -days 365 -nodes -subj '/CN=localhost' &&               cat /tmp/cert.pem /tmp/key.pem > /tmp/combined.pem &&               socat OPENSSL-LISTEN:3000,cert=/tmp/combined.pem,verify=0,fork,reuseaddr TCP:openhamclock:3000"      restart: unless-stopped 

2. Silencing the “What’s New” Pop-ups

When using HamClock as a signage element, you want it to be “set and forget.” The “What’s New” slide-ins are helpful for desktop users but ruin a clean kiosk display.

While there is a formal change request pending for a toggle, you can currently “force” these elements to stay hidden by injecting a bit of CSS directly into the distribution files. Run this command within your app environment:

find /app/dist -name "*.css" -exec sh -c 'echo "div[style*=\"whatsNewSlideIn\"], div[style*=\"backdrop-filter\"] { display: none !important; }" >> {}' \;

3. Setting Up the Slide in PiSignage

Once your containers are humming along, you need to tell PiSignage how to display the clock.

Create the Weblink Asset

1. Log in to your PiSignage Admin Panel.
2. Navigate to Assets > Add > Weblink.
3. Fill in the details:
   • Name: OpenHamClock
   • Link Address: https://<YOUR-HOSTNAME>:3000/?kiosk=true
4. Click Save.

Pro Tip: The ?kiosk=true suffix is critical. It tells HamClock to hide its own internal menus and headers, giving you a dedicated, high-contrast dashboard perfect for a wall-mounted display.

Deploy to Your Player

1. Go to Playlists and add your new “OpenHamClock” asset.
2. Set the Duration: Set this to 0 for a permanent display, or a high number (like 300 for 5 minutes) if it’s part of a rotation.
3. Go to Groups, select your player, and deploy the playlist.

Your screen should refresh and show a beautiful, clean HamClock interface within seconds!

Running PiSignage in Docker?

For those of you looking to keep your entire server stack contained, running the PiSignage central server in Docker is the way to go. It keeps your host OS clean and makes management a breeze.

If you’d like me to discuss how to set up a dockerized PiSignage server, please comment below!

— 73 —

Call to Action

Getting this stack to play nice wasn’t a “one-and-done” install. It was a hard-fought process that took multiple attempts to finally crack the code on bypassing those “What’s New” screens and forcing a clean kiosk display. But the victory is in the uptime.

Don’t just lurk. If you’ve got the guts to show how you’re rebuilding your station on the wreckage of the old ways, drop a comment below. How are you occupying the victory today?

D. Bryan King

Sources

• OpenHamClock GitHub Repository (accius)
• Original HamClock Source by Clear Sky Institute
• PiSignage Official Documentation
• Docker Compose Specification and Documentation
• Alpine Linux Official Docker Image
• Socat Man Page – Multipurpose Relay Tool
• OpenSSL Official Documentation
• Maidenhead Locator System Overview
• Deep Dive: HamClock on Raspberry Pi
• PiSignage Server Docker Implementation
• Raspberry Pi Kiosk Mode Configuration
• MDN Web Docs: CSS Display Property
• Docker CMD vs Entrypoint Explained
• Understanding Self-Signed SSL Certificates
• ARRL: Understanding Grid Squares
• CSS Attribute Selectors (For Style Injection)
• Docker Container Networking Guide
• Linux Find Command Documentation
• Portainer: Managing Dockerized Signage Stacks
• PiSignage Community Support Forum

Disclaimer:

I love sharing what I’m learning, but please keep in mind that everything I write here—including this post—is just my personal take. These are my own opinions based on my research and my understanding of things at the time I’m writing them. Since life moves way too fast and things change quickly, please use your own best judgment and consult the experts for your specific situations!

Related Posts

Rate this:

Arch Linux has released a reproducible Docker image, providing users with a bit-for-bit identical container build, though some limitations remain.
https://linuxiac.com/arch-linux-now-ships-a-reproducible-docker-image/

#linux #archlinux #opensource #containerization #docker #podman

Arch Linux has released a reproducible Docker image, providing users with a bit-for-bit identical container build, though some limitations remain.
https://linuxiac.com/arch-linux-now-ships-a-reproducible-docker-image/

#linux #archlinux #opensource #containerization #docker #podman

Arch Linux has released a reproducible Docker image, providing users with a bit-for-bit identical container build, though some limitations remain.
https://linuxiac.com/arch-linux-now-ships-a-reproducible-docker-image/

#linux #archlinux #opensource #containerization #docker #podman

Arch Linux has released a reproducible Docker image, providing users with a bit-for-bit identical container build, though some limitations remain.
https://linuxiac.com/arch-linux-now-ships-a-reproducible-docker-image/

#linux #archlinux #opensource #containerization #docker #podman

Arch Linux has released a reproducible Docker image, providing users with a bit-for-bit identical container build, though some limitations remain.
https://linuxiac.com/arch-linux-now-ships-a-reproducible-docker-image/

#linux #archlinux #opensource #containerization #docker #podman

Good start but we need massive #parkingreform, like #Paris https://secretnyc.co/nyc-empire-trash-bins-expanding-new-neighborhoods/?shem=dsdf,sharefoc,agadiscoversdl,,sh/x/discover/m1/4 My #YouTube #video here https://m.youtube.com/watch?v=WfJWSN-XKys&t #containerization #brooklyn #climate #mamdani #socialism

Good start but we need massive #parkingreform, like #Paris https://secretnyc.co/nyc-empire-trash-bins-expanding-new-neighborhoods/?shem=dsdf,sharefoc,agadiscoversdl,,sh/x/discover/m1/4 My #YouTube #video here https://m.youtube.com/watch?v=WfJWSN-XKys&t #containerization #brooklyn #climate #mamdani #socialism

Good start but we need massive #parkingreform, like #Paris https://secretnyc.co/nyc-empire-trash-bins-expanding-new-neighborhoods/?shem=dsdf,sharefoc,agadiscoversdl,,sh/x/discover/m1/4 My #YouTube #video here https://m.youtube.com/watch?v=WfJWSN-XKys&t #containerization #brooklyn #climate #mamdani #socialism

Good start but we need massive #parkingreform, like #Paris https://secretnyc.co/nyc-empire-trash-bins-expanding-new-neighborhoods/?shem=dsdf,sharefoc,agadiscoversdl,,sh/x/discover/m1/4 My #YouTube #video here https://m.youtube.com/watch?v=WfJWSN-XKys&t #containerization #brooklyn #climate #mamdani #socialism

Good start but we need massive #parkingreform, like #Paris https://secretnyc.co/nyc-empire-trash-bins-expanding-new-neighborhoods/?shem=dsdf,sharefoc,agadiscoversdl,,sh/x/discover/m1/4 My #YouTube #video here https://m.youtube.com/watch?v=WfJWSN-XKys&t #containerization #brooklyn #climate #mamdani #socialism

Kontainer is a new KDE frontend for Distrobox that gives Plasma users a simpler way to create and manage Linux containers.
https://linuxiac.com/kontainer-brings-a-native-kde-gui-to-distrobox-container-management/

#containerization #docker #podman #distrobox #opensource

Kontainer is a new KDE frontend for Distrobox that gives Plasma users a simpler way to create and manage Linux containers.
https://linuxiac.com/kontainer-brings-a-native-kde-gui-to-distrobox-container-management/

#containerization #docker #podman #distrobox #opensource

Kontainer is a new KDE frontend for Distrobox that gives Plasma users a simpler way to create and manage Linux containers.
https://linuxiac.com/kontainer-brings-a-native-kde-gui-to-distrobox-container-management/

#containerization #docker #podman #distrobox #opensource

Kontainer is a new KDE frontend for Distrobox that gives Plasma users a simpler way to create and manage Linux containers.
https://linuxiac.com/kontainer-brings-a-native-kde-gui-to-distrobox-container-management/

#containerization #docker #podman #distrobox #opensource

Kontainer is a new KDE frontend for Distrobox that gives Plasma users a simpler way to create and manage Linux containers.
https://linuxiac.com/kontainer-brings-a-native-kde-gui-to-distrobox-container-management/

#containerization #docker #podman #distrobox #opensource

via @dotnet : Your Migration’s Source of Truth: The Modernization Assessment

https://ift.tt/fDire7p
#GitHubCopilot #Modernization #Assessment #Azure #.NET #Java #Migration #CloudReadiness #Containerization #InfrastructureAsCode #IaC #Bicep #Terraform #AKS #AppSe…

via @dotnet : Your Migration’s Source of Truth: The Modernization Assessment

https://ift.tt/fDire7p
#GitHubCopilot #Modernization #Assessment #Azure #.NET #Java #Migration #CloudReadiness #Containerization #InfrastructureAsCode #IaC #Bicep #Terraform #AKS #AppSe…

via @dotnet : Your Migration’s Source of Truth: The Modernization Assessment

https://ift.tt/fDire7p
#GitHubCopilot #Modernization #Assessment #Azure #.NET #Java #Migration #CloudReadiness #Containerization #InfrastructureAsCode #IaC #Bicep #Terraform #AKS #AppSe…

via @dotnet : Your Migration’s Source of Truth: The Modernization Assessment

https://ift.tt/fDire7p
#GitHubCopilot #Modernization #Assessment #Azure #.NET #Java #Migration #CloudReadiness #Containerization #InfrastructureAsCode #IaC #Bicep #Terraform #AKS #AppSe…

via @dotnet : Your Migration’s Source of Truth: The Modernization Assessment

https://ift.tt/fDire7p
#GitHubCopilot #Modernization #Assessment #Azure #.NET #Java #Migration #CloudReadiness #Containerization #InfrastructureAsCode #IaC #Bicep #Terraform #AKS #AppSe…

Docker Flaw Exposes Hosts to Unauthorized Access

A recent security patch meant to tighten up Docker Engine's defenses has left a gaping hole, exposing hosts to unauthorized access - and it's up to you to make sure you're not the one who gets exploited. A high-severity flaw, tracked as CVE-2026-34040, allows attackers to bypass authorization plugins and potentially gain access to your host.

https://osintsights.com/docker-flaw-exposes-hosts-to-unauthorized-access

#Docker #Cve202634040 #AuthorizationBypass #Containerization #DockerEngine

Docker Flaw Exposes Hosts to Unauthorized Access

A recent security patch meant to tighten up Docker Engine's defenses has left a gaping hole, exposing hosts to unauthorized access - and it's up to you to make sure you're not the one who gets exploited. A high-severity flaw, tracked as CVE-2026-34040, allows attackers to bypass authorization plugins and potentially gain access to your host.

https://osintsights.com/docker-flaw-exposes-hosts-to-unauthorized-access

#Docker #Cve202634040 #AuthorizationBypass #Containerization #DockerEngine

Komodo 2.0 adds Docker Swarm management, introduces PKI-based authentication, and updates its UI with improved terminal features.
https://linuxiac.com/komodo-2-0-build-and-deploy-tool-adds-docker-swarm-support/

#docker #containerization

Komodo 2.0 adds Docker Swarm management, introduces PKI-based authentication, and updates its UI with improved terminal features.
https://linuxiac.com/komodo-2-0-build-and-deploy-tool-adds-docker-swarm-support/

#docker #containerization

Komodo 2.0 adds Docker Swarm management, introduces PKI-based authentication, and updates its UI with improved terminal features.
https://linuxiac.com/komodo-2-0-build-and-deploy-tool-adds-docker-swarm-support/

#docker #containerization

Komodo 2.0 adds Docker Swarm management, introduces PKI-based authentication, and updates its UI with improved terminal features.
https://linuxiac.com/komodo-2-0-build-and-deploy-tool-adds-docker-swarm-support/

#docker #containerization

Komodo 2.0 adds Docker Swarm management, introduces PKI-based authentication, and updates its UI with improved terminal features.
https://linuxiac.com/komodo-2-0-build-and-deploy-tool-adds-docker-swarm-support/

#docker #containerization

----------------

🛠️ Tool — HolyClaude
===================

Overview

HolyClaude is a containerized AI development workstation that runs the real Claude Code CLI alongside a browser-based UI, a headless Chromium instance, Playwright integration, and a suite of developer tools (TypeScript, Python, DB clients, CLIs). The project documents the environment and images designed to address common Docker failure modes encountered when running browser components and multi-tool stacks inside containers.

Components
• Claude Code CLI: The actual Claude Code binary is included and intended to be used with the user's existing subscription and API key.
• Web UI: A browser-accessible interface to interact with Claude Code workloads.
• Headless browser + Playwright: A headless Chromium configured for screenshots and automated testing use cases.
• Developer toolchain: Multiple language runtimes and CLIs (TypeScript, Python, database clients, Git tooling) consolidated inside the image.

Design and operational considerations

The repository focuses on operational fixes rather than feature experimentation. Key container-level adjustments address shared-memory constraints, Xvfb/display compatibility, UID/permission alignment between container and host, and filesystem lock behavior (notably SQLite on network mounts). The images are offered in variants (full, slim) to balance size versus included tooling.

Use cases

HolyClaude targets developers who need a ready-made environment to run Claude Code in a browser context, perform headless browser testing, or combine multiple AI CLIs and developer utilities without iterative local troubleshooting of Docker/browser issues.

Limitations and scope

HolyClaude packages third-party components and relies on the user's existing Claude Code subscription and API credentials to function. The repository documents operational workarounds and image variants but does not change the behavior of Claude Code itself. Runtime, licensing, and subscription constraints for Claude Code apply as per the upstream service.

Hashtags

🔹 HolyClaude #ClaudeCode #containerization #Playwright #headless_browser

🔗 Source: https://github.com/CoderLuii/HolyClaude

Lucee in a Box: The Ultimate Guide to Containerized Dev Servers

2,726 words, 14 minutes read time.

The Modern ColdFusion Workspace: Transitioning to Lucee in a Box

The shift from traditional, monolithic server installations to containerized environments has fundamentally altered how we perceive modern development within the Lucee ecosystem. For years, the standard approach involved installing a heavy application server directly onto a local machine, often leading to a “polluted” operating system where various versions of Java and Lucee competed for resources and environment variables. By adopting a “Lucee in a Box” methodology, we decouple the application logic from the underlying hardware, allowing for a portable, reproducible, and lightweight development stack. This transition is not merely about convenience; it is a strategic move toward parity with production environments where high availability and rapid scaling are the norms. In this architecture, we utilize Docker to encapsulate the Lucee engine, the web server, and the necessary configuration files into a single unit that can be spun up or destroyed in seconds, ensuring that every member of a development team is working within an identical, script-driven environment.

However, the true complexity of this setup emerges when we move beyond simple “Hello World” examples and begin integrating with the existing corporate infrastructure. In my own workflow, I rely heavily on a network of internal web services that act as the primary conduit for data residing in our production databases. These services are vital because they provide a sanitized, governed layer of abstraction over raw SQL queries, ensuring that sensitive data is handled according to internal compliance standards. When we containerize Lucee, we aren’t just running a script; we are placing a small, isolated node into a complex network. The challenge then becomes ensuring this isolated container can “see” and communicate with those internal services as if it were a native part of the network, all while maintaining the security boundaries that containerization is designed to provide.

The Data Silo Crisis: Overcoming Networked Service Isolation

One of the most significant hurdles in modernizing a CFML stack is the inherent isolation of the Docker bridge network, which often creates what I call a “Data Silo” during local development. When a developer attempts to call an internal web service—perhaps a REST API that fetches real-time production metrics or user permissions—from within a container, the request often hits a wall because the container’s internal DNS does not naturally resolve local intranet addresses. This creates a frustrating disconnect where the application works perfectly in the legacy local install but fails within the containerized environment. This disconnect is more than a minor annoyance; it leads to significant delays in the development lifecycle as engineers struggle to pipe in the data necessary for testing complex business logic. Without a seamless connection to these internal services, the “Lucee in a Box” becomes an empty vessel, incapable of performing the data-intensive tasks required in a modern enterprise setting.

To resolve this, we must look at how the container perceives the outside world and how the host machine facilitates that visibility. In many corporate environments, production data is guarded behind strict firewall rules and SSL requirements that expect requests to originate from known entities. When I utilize internal web services to provide data from a production database, the Lucee container must be configured to pass through the host’s network or be explicitly granted access to the internal DNS suffixes. Failure to address this at the architectural level results in “unreachable host” errors or SSL handshake failures that can derail a project for days. By understanding that the container is a guest on your network, we can begin to implement the routing and trust certificates necessary to turn that siloed container into a fully integrated node capable of consuming live data streams securely and efficiently through modern CFScript syntax.

The Blueprint: Implementing Lucee and MariaDB via Docker Compose

To move from theory to implementation, we must define the orchestration layer that brings our environment to life. The docker-compose.yml file is the definitive source of truth for the development stack, eliminating the “it works on my machine” excuse by codifying the server version, database configuration, and network paths. In the professional workflow I advocate, this file sits at the root of your project. It defines a lucee service using the official Lucee image—optimized for performance—and a mariadb service to handle local data persistence. Crucially, we use volumes to map your local www folder directly into the container’s web root. This means that as you write your CFScript in your preferred IDE on your host machine, the changes are reflected instantly inside the container without requiring a rebuild or a manual file transfer.

The following configuration provides a professional-grade starting point. It establishes a dedicated network for our services and ensures that Lucee has the environment variables necessary to eventually automate its datasource connections. By mounting the ./www directory, we ensure our code remains on our host machine where it can be version-controlled, while the ./db_data volume ensures our MariaDB data persists even if the container is destroyed and recreated.

version: '3.8'

services:
  # The Database Engine
  mariadb:
    image: mariadb:10.6
    container_name: lucee_db
    restart: always
    environment:
      MYSQL_ROOT_PASSWORD: root_password
      MYSQL_DATABASE: dev_db
      MYSQL_USER: dev_user
      MYSQL_PASSWORD: dev_password
    volumes:
      - ./db_data:/var/lib/mysql
    networks:
      - dev_network

  # The Lucee Application Server
  lucee:
    image: lucee/lucee:5.3
    container_name: lucee_app
    restart: always
    ports:
      - "8080:8888"
    environment:
      # Injecting DB credentials for CFConfig or Application.cfc
      - DB_HOST=mariadb
      - DB_NAME=dev_db
      - DB_USER=dev_user
      - DB_PASSWORD=dev_password
      - LUCEE_ADMIN_PASSWORD=server_admin_pass
    volumes:
      - ./www:/var/www
      - ./config:/opt/lucee/web
    depends_on:
      - mariadb
    networks:
      - dev_network

networks:
  dev_network:
    driver: bridge

Deployment Strategy: Running Your New Containerized Stack

Once the docker-compose.yml file is in place, initializing the environment is a matter of a single terminal command. By executing docker-compose up -d from the root of your project directory, the Docker engine pulls the specified images, creates the isolated virtual network, and establishes the volume mounts. This process ensures that your MariaDB instance is ready to receive connections before the Lucee server fully initializes. For developers who rely on internal web services, this is where the containerized approach proves its worth. Because Lucee is running in an isolated network but can be configured to have access to the host’s bridge or external DNS, it can safely consume external APIs while maintaining a clean, local database for session state or cached production data. This setup provides the exact same architectural “feel” as a high-traffic production cluster, but contained entirely within your local hardware.

The beauty of this system lies in its maintenance-free nature and the elimination of the “dependency hell” that often plagues legacy ColdFusion developers. If you need to test your CFScript against a different version of Lucee or a newer patch of MariaDB, you simply update the version tag in the YAML file and run the command again. There is no need to uninstall software, clear registry keys, or worry about Java version conflicts on your host machine. This modularity is why I utilize internal web services to provide data from production into this local box; the container acts as a secure, high-speed proxy. You can pull the data you need via an internal API call, store it in the MariaDB container, and work in an isolated state without ever risking the integrity of the actual production database.

Root Cause: Why Standard Containers Fail at Internal Service Integration

The primary reason most off-the-shelf Lucee container configurations fail when attempting to consume internal web services is a fundamental lack of trust—specifically, the absence of internal SSL certificates within the Java KeyStore. When I use web services hosted within my network to provide data from a production database, those services are almost always secured via an internal Certificate Authority (CA) that is not recognized by the default OpenJDK installation inside the Lucee container. This results in the dreaded “PKIX path building failed” error the moment a cfhttp call is initiated via CFScript to an internal endpoint. To solve this, the Dockerfile must be modified to perform a “copy and import” operation during the image build phase, where the internal CA certificate is added to the Java security folder and registered using the keytool utility. This ensures that the underlying Java Virtual Machine (JVM) trusts the internal network’s identity, allowing for encrypted, secure data transmission from the production-proxy services to the local development environment.

Beyond the cryptographic hurdles, there is the issue of routing and “Host-to-Container” communication that often stymies developers new to the Docker ecosystem. In a standard Docker setup, the container is wrapped in a layer of Network Address Translation (NAT) that makes it difficult to reach services sitting on the developer’s physical host or the wider corporate VPN. To bridge this gap, we often utilize the extra_hosts parameter within our docker-compose configuration, which effectively injects entries into the container’s /etc/hosts file. This allows us to map a friendly internal domain name, like services.internal.corp, directly to the IP address of the host machine or the VPN gateway. By explicitly defining these routes, we bypass the limitations of Docker’s isolated bridge and enable the Lucee engine to reach out to the web services that house our production data. This architectural “handshake” between the containerized Lucee instance and the physical network is the secret sauce that transforms a basic dev box into a high-fidelity replica of the production ecosystem.

Deep Dive: Consuming Internal Web Services via CFScript

With the network and security infrastructure in place, we can finally focus on the implementation layer: the CFScript that handles the data exchange. In a modern Lucee in a Box setup, I favor a service-oriented architecture where a dedicated DataService.cfc handles all interactions with the internal network. Using the http service in CFScript, we can construct requests that include the necessary authentication headers, such as JWT tokens or API keys, required by the internal production data services. The beauty of this approach is that the CFScript remains agnostic of the container’s physical location; as long as the Docker networking layer is correctly mapping the service URL to the internal network, the cfhttp call proceeds as if it were running on a native server. This allows us to maintain a clean, readable codebase that utilizes the latest CFScript features, such as cfhttp(url=targetURL, method="GET", result="local.apiResponse"), while the heavy lifting of network routing is handled by the Docker daemon.

The real power of this integration is realized when we use these internal web services to populate our local MariaDB instance with a “snapshot” of production-like data. Rather than dealing with massive, cumbersome database dumps that can compromise data privacy, we can write an initialization script in CFScript that queries the internal web services for the specific datasets required for a given task. This script can then parse the returned JSON and perform a series of queryExecute() commands to populate the local MariaDB container. This “just-in-time” data strategy ensures that the developer is always working with relevant, fresh data without the security risks associated with a direct connection to the production database. By leveraging the containerized Lucee instance as a smart bridge between internal network services and local storage, we create a development environment that is not only isolated and secure but also incredibly data-rich and performant.

Environment Variable Injection: The CFConfig and CommandBox Synergy

To achieve a truly “hands-off” configuration within a Lucee in a Box environment, we must move away from the manual web-based administrator and toward a purely scripted setup. This is where the combination of CommandBox and the CFConfig module becomes indispensable. By using a .cfconfig.json file or environment variables prefixed with LUCEE_, we can define our MariaDB datasource connections, internal web service endpoints, and mail server settings without ever clicking a button in the Lucee UI. In a professional workflow, this means the docker-compose.yml file serves as the master controller, injecting credentials and network paths directly into the Lucee engine at runtime. For instance, by setting LUCEE_DATASOURCE_MYDB as an environment variable, the containerized engine automatically constructs the connection to the MariaDB container, ensuring that our CFScript-based queryExecute() calls have a reliable target the moment the server is healthy.

This approach is particularly powerful when dealing with the internal web services that provide our production data. Since these services often require specific API keys or internal proxy settings, we can store these sensitive values in an .env file that is excluded from our Git repository. When the container starts, these values are mapped into the Lucee process, allowing our CFScript logic to access them via system.getEnv(). This ensures that our local development environment remains a mirror of our production logic while maintaining a strict separation of concerns between the application code and the infrastructure-specific secrets. By automating the configuration layer, we eliminate the risk of manual setup errors and ensure that every developer on the team can spin up a fully functional, networked-aware Lucee instance in a single command.

Advanced Networking: Bridged Access to Production-Proxy Services

The final piece of the Lucee in a Box puzzle involves fine-tuning the Docker network to handle the high-latency or high-security requirements of internal web services. When our CFScript makes a request to a service that pulls from a production database, we are often traversing multiple layers of internal routing, including VPNs and load balancers. To optimize this, we can configure our Docker bridge network to use specific MTU (Maximum Transmission Unit) settings that match our corporate network’s infrastructure, preventing packet fragmentation that can lead to mysterious request timeouts. Furthermore, by utilizing Docker’s aliases within the network configuration, we can simulate the production URL structure locally. This means our CFScript can call https://api.internal.production/ both in the dev container and the live environment, with Docker handling the redirection to the appropriate internal service endpoint based on the environment context.

Beyond simple connectivity, we must also consider the performance of these data-heavy web service calls. In a containerized environment, I often implement a caching layer within Lucee that stores the JSON payloads returned from our internal services into the local MariaDB instance or a RAM-based cache. By using CFScript’s cachePut() and cacheGet() functions, we can significantly reduce the load on our internal network and the production database proxy. This “lazy-loading” strategy allows us to develop complex features with the speed of local data access while still maintaining the accuracy of production-sourced information. This architectural decision—balancing live service integration with local persistence—represents the pinnacle of the Lucee in a Box philosophy, providing a development experience that is as fast as it is faithful to the real-world environment.

Conclusion: The Future of Scalable CFML Development

Adopting a “Lucee in a Box” strategy is more than just a trend in containerization; it is a fundamental shift toward professional-grade, reproducible engineering. By strictly defining our environment through docker-compose.yml, automating our security through SSL injection in the Dockerfile, and utilizing CFScript to bridge the gap between internal web services and local MariaDB storage, we create a stack that is resilient to “configuration drift.” This setup allows us to treat our development servers as ephemeral, disposable assets that can be rebuilt at a moment’s notice to match evolving production requirements. As the Lucee ecosystem continues to mature, the ability to orchestrate these complex data flows within a containerized boundary will remain the hallmark of a high-performing development team, ensuring that we spend less time debugging infrastructure and more time writing the logic that drives our applications forward.

Call to Action

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D. Bryan King

Sources

• Lucee Official Documentation: Lucee Docker Images
• Ortus Solutions: CommandBox Docker Documentation
• NIST SP 800-190: Application Container Security Guide
• Docker Documentation: Bridge Network Driver and Architecture
• IANA: Service Name and Transport Protocol Port Number Registry
• MITRE CWE-601: URL Redirection to Untrusted Site (Internal Service Security)
• Docker Engine: Dockerfile Reference and Best Practices
• CFConfig: Environment Variable Integration for Lucee
• CIS Benchmarks: Docker Community Edition Benchmark
• IETF RFC 7519: JSON Web Token (JWT) for Internal Service Auth
• Wireshark User Guide: Analyzing Internal Network Traffic
• Oracle Java SE Security: Standard Algorithm Names (TLS Support for Lucee)

Disclaimer:

The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.

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