On behalf of all contributors to the MongoDB module suite for Drupal over the years, I am pleased to announce the 8.x-2.0-alpha1 release of the MongoDB package for Drupal 8, six years after we started this project on Drupal 6.

This release is the first step to an initial stable release of the MongoDB package for Drupal 8, containing:

• mongodb a module exposing the new PHP library as Symfony services exposed to a Drupal 8.x instance. It is designed as a minimal and consistent connection layer on top of the PHP library for MongoDB, for all modules targeting MongoDB on Drupal 8.x, be they contributed or bespoke.
• mongodb_watchdog a PSR-3 logger storing event data in MongoDB. On top of the features already present in 6.x and 7.x versions, it introduces a per-request report showing all events logged during a request, in order.

These are the slides of the presentation I gave last week at DrupalDevDays Milan about the ways using Queue API can help you speed up Drupal sites, especially in connected mode.

2017-10-21 UPDATE: attend this session in French at DrupalCamp Lannion next week !

These are the slides of the presentation I gave yesterday at DrupalDevDays Milan.

There are a lot of environment variables in any Meteor version. You probably know MONGO_URL and ROOT_URL, but how many others are there ? Do the Meteor guide and the Meteor docs reveal them all ? Guess no longer: just ask the source.

Graylog is, in the words of its creators, a tool to Store, search & analyze log data from any source, and it puts a lot of power in our hands to slice, dice, and generally combine, gather, and parse content from various sources, notably syslog and Gelf sources, as well as many file-type sources thanks to the Graylog Collector. Which means it makes it a snap to build event-oriented dashboards like the left part of this example, and even some event volume graphs like the topmost one on the right.

The problem: logging non-event information

This covers only logged events, which is fine overall, since Graylog is a log analysis platform, not a graph-oriented monitoring system like Munin / Cati / Ganglia et alii. However, in many cases, especially when building dashboards instead of performing some specific research, one may want to keep an eye on average system load, or other non-event information, if only to know when to switch one's attention to the monitoring system.

So how can one add system load information, which is not event-based, to a log dashboard like the three bottom-right graphs on the previous dashboard ?

The problem

When running tests on a server using the recent versions of the MongoDB module for Drupal, and more specifically the MongoDB simpletests, the simpletest runner may leave droppings in your MongoDB Drupal database, which have no business remaining there. How to remove them while keeping the good collections ?

The typical case will be after a failed test runs, looking like this:

When auditing or reviewing an unknown code base, I often have to decide which files to examine in priority. Beyond the usual heuristics for Drupal projects (hint: look at templates in D7), how can one find the parts most likely to contain problems ? This simple command set can help pinpoint troublemaking files quickly.

One of the big trends during the Drupal 8 creation has been the replacement of info hooks by two main mechanisms: annotations, and YAML files. In that light, hook_drush_command(), as the CLI equivalent of the late hook_menu, replaced by various YAML files, looks just like a perfect candidate for replacement by a commands section in some mymodule.drush.yml configuration file. Turns out it is incredibly easy to achieve. Let's see how to kill some hundred lines of code real fast !

UPDATE 2015-12-04 : Tinytest is now documented, for the upcoming Meteor 1.3 release. See the official README.md. Better use the official information than my unofficial cheatsheet.