WordPress Packagist VS OpenWhisk

If I have to use WordPress for something, I'll build it as a standard PHP project, requiring WordPress and any themes/plugins as a Composer dependencies from johnpbloch/wordpress and WordPress Packagist (more info here). If I need to do any significant templating, I like to use Timber.

Use it together with https://wpackagist.org/ and you can update all plugins/themes by latest or by version number.

Another option you can look at is Bedrock by Roots - that is sets WP as an app with composer already set up. It allows you to install WP plugins (from official WP repo) via composer (WP Packagist). The structure is set up to allow for git workflow. Also helpful if you want to make use of a bunch of composer packages on your site.

https://wpackagist.org/ in the example you see "repositories", now in that array you can put your plugins github-link and set the other settings. with composer install you install them and with composer update you update them

Side question: I know that the WordPress ecosystem has been moving toward better support for Composer – e.g., with WPackagist. But wouldn't plugins installed/updated via Composer run into the same issue?

Serverless functions are now offered by many cloud providers, as well as having options like OpenFaaS, Knative, Apache's Openwhisk and more from the open source community that run in environments ranging from one server all the way up to globally replicated private clusters.

OpenWhisk - https://openwhisk.apache.org

The serverless functions with Digital Ocean are based on Apache Open Whisk, so the service has additional name space, which need to go into the URL.

The two biggest options are OpenWhisk and OpenFaas. Check out /r/serverless for more options. I'm experimenting currently with OpenFaas as it's the lighter weigh to of the two.

If you meant lambda for cloud functions provided by Amazon then this is open source and free, as long as you host it yourself: https://openwhisk.apache.org/

There are so many of them in big data, e.g. Kafka, Spark, Flink, Delta, Snowplow, Finagle, Deequ, CMAK, OpenWhisk, Snowflake, TheHive, TVM-VTA, etc.

The foundation is Apache OpenWhisk https://github.com/apache/openwhisk with DO specific customization to work with managed databased, log shipping, and other DO specific capabilities. The closest programming model is AWS Lambda in terms of the semantics and execution model.