Drupal planet

Choosing a CMS for catalogues, multilingual pages, and integrations means comparing how each platform handles relationships, editorial work, and delivery—not just content types on a slide.

Drupal vs Contentful, Sanity, and Storyblok take different paths: integrated application vs managed headless services, core translation and moderation vs SaaS localization, and visual editing vs configurable Drupal workflows. Maciej Lukianski walks through content models, permissions, JSON:API options, AI boundaries, and what growth costs look like on each stack.

Meet Dashi, the 'new' multilingual demo for Drupal CMS

On September 29, Dries Buytaert showed a multilingual food magazine demo in his DrupalCon Rotterdam Driesnote. That was Dashi, the culmination of our work to give Drupal CMS 2.2 standout multilingual features. Here is what it is, how you can try it and how it came to be.

Gábor Hojtsy Tue, 10/06/2026 - 17:17

Introduction

Adopting AI can feel overwhelming, so I am sharing a few tales from my experience creating, maintaining, and assisting with contributed Drupal modules. AI can do a decent job building a "greenfield" Drupal module from scratch, so my first tale is about using AI to build and contribute a module. For my next tale, I want to talk about using AI to maintain an existing "brownfield" Drupal module.

Growing up in NYC, I found brownfields often intimidating, with some so toxic that it can take years for backhoes and dump trucks to remove the contaminated topsoil before construction can begin. With code, a brownfield can contain technical debt, orphaned code, missing tests, etc. Simply put, a brownfield contains unknowns, which means more things can go wrong while working on it. Sometimes a brownfield is so big you need heavy machinery to maintain it, and that is exactly how I felt about using AI on the Schema.org Blueprints module.

Maintaining a large module using AI

Gradually, I have been experimenting with AI to help maintain the Schema.org Blueprints. At first, I would just throw a one-shot prompt at the AI to address a single issue, and it would do a decent job diagnosing and resolving the problem. As I became more confident steering the AI, I started asking it to create issue forks, commits, pushes, and even MRs. As I previously stated in my AGENTS.md I always have "Require me to review all changes before committing and pushing code." and most models respect this rule.

My comfort level reached a point where I am creating {module}-issue-maintenance agent skills that extend my drupalorg-issue-maintenance skills. These maintenance skills have agents to track remote issues in...Read More

Drupal 12 and the End of Legacy Debt: A Forced Modernization for Enterprise Engineering bhavinhjoshi Tue, 10/06/2026 - 14:02

Just last month, a prospective client came to Joshi Consultancy Services asking for a cheap cron script to fix a runaway disk usage issue. The reality? They were bleeding money on a deep architectural flaw in their Drupal ingestion pipeline. We see this constantly. For years, the enterprise software industry tolerated a quietly expensive habit: carrying technical debt forward.

Historically, major CMS upgrades were treated as little more than UI refreshes. Agencies seamlessly dragged deprecated code, outdated PHP environments, and fragile database structures from one major version to the next. The result? Senior engineers stuck acting as caretakers for legacy code, while CXOs bled budget on endless maintenance retainers just to keep the lights on.

With the December rollout of Drupal 12, that loophole permanently closes.

The platform is fundamentally altering the rules of engagement. Instead of merely suggesting best practices, Drupal 12 enforces strict architectural modernization right at the server level. Here is why this shift is a massive win for both engineering teams and business leadership.

The Eradication of Deprecated APIs

Spaghetti code. We all hate it. But until now, deprecated code could linger in a system for years, propped up by complex workarounds.

Drupal 12 changes this by aggressively stripping out all deprecated core APIs. The system physically rejects structural laziness. If an agency attempts to stack new logic on top of a legacy foundation, the application simply will not run. You build within clean, modern boundaries from day one. Period.

Enforcing Modern Infrastructure Floors

Previously, organizations delayed server upgrades to save short-term costs, forcing modern applications to run on aging environments.

No longer. Drupal 12 introduces non-negotiable infrastructure floors: a PHP 8.5 minimum runtime alongside raised database requirements (MySQL 8.0 / PostgreSQL 18). This isn't just backend housekeeping. By enforcing these modern tiers, the core framework guarantees a baseline of performance that cannot be compromised by budget-saving shortcuts.

Security as a Structural Guarantee

Enterprise security is too often treated as an expensive, opt-in audit layer applied long after development is complete.

By making Argon2id the default for password hashing, Drupal 12 integrates military-grade resistance against GPU-driven brute-force attacks directly into the core blueprint. For the C-suite, this is an immediate reduction in liability. Security transitions from an ongoing maintenance headache to a baseline structural guarantee.

The Business Outcome: Eliminating the Maintenance Drain

The most profound impact lands directly on the balance sheet.

For CXOs, these forced architectural boundaries solve the most expensive problem in enterprise software: unpredictability. When the core framework refuses to execute legacy PHP and automatically enforces top-tier security standards, the financial drain of technical debt is cut off at the source. Organizations can finally stop paying agency retainers to manage bloated, unmaintainable code.

Drupal 12 is not just a feature upgrade. It is a forced modernization of your engineering culture.

If your organization treats this version bump as a standard IT afterthought, you are actively funding your own future liability. Stop paying for temporary bug fixes. Engineer the blueprint first.

Are your servers, and your budgets, ready for the rollout?

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The National Center for Family Philanthropy worked with DevCollaborative to reimagine their website, CRM, and other communications channels to effectively manage and scale their network of over 500 philanthropic families representing more than 3,000 individuals.

The tools around Drupal have become simpler, complementing Drupal.  Read our take on how Canvas, components, Drupal CMS, and AI are changing Drupal work.

AI is becoming part of almost every software platform, and content management systems are no exception. Drupal is no different. But there is an important question that often gets lost in the excitement around AI: if Drupal already manages content so well, what exactly does AI add?

TL;DR

macOS Docker provider performance has improved significantly over the years, and now all the providers seem to be performing about equivalently. So OrbStack, Docker Desktop, Lima, Colima, and Rancher Desktop are fast and working well.

Introduction

Back in November 2023 we published a hand-run comparison of macOS Docker providers. It was a snapshot: one laptop, one afternoon, one set of versions, and a Google Sheet. It answered the question people were asking, and then it started going stale the moment it was published.

That post is gone now, and this one replaces it, because the way we answer the question has changed. DDEV now runs the same benchmark battery every night, unattended, on every platform and Docker provider we support, and publishes the accumulated history.

Table of Contents Where to see the numbers

The nightly results live at the DDEV performance history dashboard.

The easiest way to find it (and everything else the DDEV GitHub organization publishes) is to start at github.com/ddev/ddev.github.io and follow the "Performance History" link. That repo's README is the index of DDEV's GitHub Pages sites — bookmark it and you don't have to remember any of the other URLs.

The dashboard has two views. Trend over time plots one line per leg so you can see regressions and improvements as they land. Compare environments (latest) gives you a sorted bar chart of each environment's recent median, which is the view that most directly replaces the 2023 post's charts.

Which metric to compare

The harness collects six metrics per run. The one that lines up with the 2023 post is drupal_install_s: Puppeteer drives the Drupal web install wizard end-to-end, in a real browser, through the DDEV router, the web server, and PHP-FPM.

I think it's important that it uses a web-intensive install process for studying web server performance. The interactive installer deliberately breaks each batch step into its own HTTP request and page reload, so every one of those round trips exercises exactly the layer where Docker provider differences show up — bind mount vs. Mutagen, gRPC-FUSE vs. virtiofs, and so on. It's the closest thing in the suite to "what does it feel like to actually use this."

The companion metric drush_install_s runs the same install non-interactively via ddev drush si, which never touches the router or web server at all. If the two track together, filesystem I/O dominates; if they diverge, the gap isolates router/web server overhead. The perf/README.md describes all six metrics and why each one is there.

macOS results

Medians of the nightly runs from 2026-08-31 through 2026-09-30, drupal_install_s in seconds, fastest first. All legs are Apple Silicon (ARM64), all with Mutagen enabled except where noted.

Docker provider drupal_install_s drush_install_s ddev_start_cold_s Rancher Desktop 12.0 9.8 16.5 Lima 12.1 9.9 15.8 Podman (rootless) 12.3 9.9 46.0 Colima (vz) 12.6 10.0 14.4 OrbStack 13.4 10.4 12.2 Docker Desktop 16.7 13.4 21.0 OrbStack, no Mutagen 16.8 11.2 9.2

The headline is how boring this table is. Five of the six Mutagen-enabled macOS providers land within 1.4 seconds of each other on the flagship metric, and their drush_install_s numbers are within 0.6 seconds. On macOS with Mutagen, your choice of Docker provider is mostly not a performance decision anymore. Pick based on licensing, maintenance, and how the tool fits your workflow.

That is a significant change from 2023, when OrbStack was clearly ahead and Colima and Rancher Desktop looked sluggish. Those gaps have largely closed (all are now using VZ/VirtioFS).

Compared with the 2023 numbers

The 2023 test did a Drupal 10 web install with Mutagen and got OrbStack 20s, Docker Desktop 22s, Rancher Desktop 22s, Colima QEMU 33s, and Colima VZ 35s. The fastest then (OrbStack, 20s) compares with 12.0s for the fastest now (Rancher Desktop), and with 13.4s for OrbStack. The slowest providers gained the most: Rancher Desktop went from 22s to 12.0s and Colima VZ from 35s to 12.6s. The spread between providers went from 15 seconds to about 1.4 (excluding Docker Desktop).

Treat these as a rough comparison, not a like-for-like benchmark. The 2023 numbers came from one MacBook Air M1 (2020) on a single afternoon, with DDEV v1.22.5, Drupal 10.1.6, and PHP 8.1. The nightly runs use CI runner machines, and newer DDEV, Drupal, and PHP versions. Both tests drive the demo_umami install through Puppeteer. Each Docker provider has also shipped many releases since 2023, and the Colima leg now uses VZ where one of the 2023 legs used QEMU with sshfs. Some of the improvement comes from the hardware, and some from the software.

When DDEV was young, a web install with Docker Desktop took SEVEN MINUTES. You'd just watch it poke along at each section. Now you don't even see those as they flash by. Now it takes 12-17 seconds. That's progress!

Mutagen is still doing the work

The most interesting row is the last one. OrbStack with Mutagen finishes the browser install in 13.4s; the same provider without Mutagen takes 16.8s — about 25% slower. Note that the no-Mutagen leg is faster on ddev_start_cold_s (9.2s vs. 12.2s), because there's no sync session to establish, and closer on drush_install_s (11.2s vs. 10.4s), because Drush never goes through the web server. The penalty concentrates in exactly the browser-driven path, which is what you use all day.

Mutagen is on by default on macOS for this reason, and these numbers say to leave it on.

However, plenty of people are perfectly happy with turning off Mutagen. Some folks don't like the additional complexity and don't want the speed trade-off. ddev config global --performance-mode=none turns it off. (Mutagen has more benefits than just performance though; with Mutagen, the web server in the container is dealing with a Linux filesystem, more like the real deployment environment, instead of a Docker bind-mount, which is more like a network filesystem.)

:::warning[Read the hardware caveat before comparing rows] The Docker Desktop leg runs on older M1 test runner machines that have dedicated hardware. OrbStack, Rancher Desktop, Colima, Lima, and Podman share a pool of newer machines. Some of the Docker Desktop gap in the table above is that hardware difference, not the provider. We didn't normalize it — the dashboard deliberately doesn't either — so treat Docker Desktop's row as "somewhat pessimistic" rather than as a clean like-for-like comparison. :::

The other platforms, and why you shouldn't rank them against macOS

The dashboard also carries Linux, WSL2, and traditional Windows legs. They're useful for spotting regressions within a leg over time, but the cross-platform bar chart is misleading if you read it as a platform ranking:

• The Linux leg runs on ephemeral GitHub-hosted runner VMs. It provisions the Drupal codebase from scratch every night and starts with cold image, Composer, and OS page caches. Every macOS and Windows leg reuses a persistent codebase and warm caches.
• The Windows and WSL2 legs run on entirely different physical hardware from the macOS test runners.

Trends within a leg: meaningful. Bar-chart comparisons across legs: only meaningful when the machines are comparable, which across platforms they aren't.

Getting the raw data

Every chart on the dashboard has a Download CSV button that exports exactly the rows behind whatever is currently displayed — after your leg and metric selections, not the whole dataset. That's the quickest path to your own analysis.

If you want everything, the underlying dataset is one JSON object per line at history.ndjson, with one line per (commit, leg) benchmark run:

curl -sL https://ddev.github.io/ddev/perf/history.ndjson | jq -r 'select(.os=="darwin") | [.timestamp, .docker_provider, .metrics.drupal_install_s] | @tsv' Running it on your own machine

The harness that replaced the old ddev-puppeteer script lives in the DDEV repository and runs locally against a standard DDEV Drupal project:

./perf/run-benchmark.sh \ --project-dir ~/workspace/d11 \ --site-url https://d11.ddev.site/ \ > result.json

It needs jq and Node.js on your PATH in addition to the usual DDEV prerequisites. If your numbers look very different from the nightly legs, we'd like to hear about it.

Summary

Three years ago the answer to "which Docker provider is fastest on macOS?" was worth a blog post with charts. Today the simple answer is that, with Mutagen on, they're close enough that the question is mostly settled, and any lingering differences are small next to the hardware you're running on.

What's better than a fresh answer is a standing one. The nightly harness means the next time performance shifts — a provider regression, a Mutagen improvement, a DDEV build-layer mistake — it shows up on the dashboard within a day, instead of waiting for somebody to run the numbers by hand and write another post.

Have questions, or numbers that look different from the dashboard? Join the conversation in our Discord, open an issue, or reach out via email.

Follow our blog, Bluesky, LinkedIn, Mastodon, and join us on Discord. Sign up for the monthly newsletter.

This article was edited and refined with assistance from Claude Code.

Beyond Bigger Servers: Keeping Websites Online Under Bot Attacks John Locke Mon, 10/05/2026 - 15:00 How layered caching, verified crawlers, and adaptive Anubis protection kept a WordPress publishing site available for readers and editors. Dev Corner

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