What is Bref and serverless?
Serverless replaces the traditional approaches to running applications. With serverless:
- We don't manage, update, configure, provision servers or containers,
- We don't reserve or scale servers or containers, instead they are scaled automatically and transparently for us,
- We don't pay for fixed resources, instead we pay for what we actually use (e.g. execution time).
Serverless can provide more scalable, affordable and reliable architectures for less effort.
Serverless includes services like storage as a service, database as a service, message queue as a service, etc. One service in particular is interesting for us developers: Function as a Service (FaaS).
FaaS is a way to run code where the hosting provider takes care of setting up everything, keeping the application available 24/7, scaling it up and down and we are only charged while the code is actually executing.
Bref aims to make running PHP applications simple.
To reach that goal, Bref takes advantage of serverless technologies. However, while serverless is promising, there are many choices to make, tools to build and best practices to figure out.
Bref's approach is to:
simplify problems by removing choices
instead of trying to address every need
provide simple and familiar solutions
instead of aiming for powerful custom solutions
empower by sharing knowledge
instead of hiding too much behind leaky abstractions
What is Bref
- PHP runtimes for AWS Lambda
- deployment tooling
- PHP frameworks integration
The choice of AWS as serverless provider is deliberate: at the moment AWS is the leading hosting provider, it is ahead in the serverless space in terms of features, performances and reliability.
Bref uses the Serverless framework to configure and deploy serverless applications. Being the most popular tool, Serverless comes with a huge community, a lot of examples online and a simple configuration format.
Bref and AWS Lambda can be used to run many kind of PHP application, for example:
- batch processes/scripts
Bref aims to support any PHP framework as well.
If you are interested in real-world examples as well as cost analyses head over to the Case Studies page.
The matrix below provides an overview of the "maturity level" for common PHP applications.
This maturity level is a vague metric, however it can be useful to anticipate the effort and the limitations to expect for each scenario. While a green note doesn't mean that Bref and Lambda are silver bullets for the use case (there are no silver bullets), a red note doesn't mean this is impossible or advised against.
This matrix will be updated as Bref and AWS services evolve over time.
|API with MySQL / PostgreSQL|
|Website with MySQL / PostgreSQL|
|Is this documented and simple to achieve?||Are performances acceptable?||Is this scenario production-ready?|
Jobs, cron tasks and batch processes are very good candidates for FaaS. The scaling model of AWS Lambda can lead to very high throughput in queue processing, and the pay-per-use billing model can sometimes result in drastic costs reduction.
The main limitation at the moment is the lack of documentation on this topic, as well as the lack of native integration with existing queue libraries like Laravel Queues.
APIs run on AWS Lambda without problems.
Performances are now similar to what you could expect on traditional VPS.
API with MySQL/PostgreSQL
MySQL, PostgreSQL or Aurora imply using AWS RDS, which means using a VPC.
Read the full "Databases" documentation to learn more.
Websites can run on AWS Lambda. Assets can be served via AWS S3. That requires a bit of setup but this is documented in the "Websites" documentation.
Performances are as good as any server.
Website with MySQL/PostgreSQL
Performances are as good as any server.
Migrating a legacy PHP application to Bref and Lambda can be a challenge. First, as explained above, the limitations that come with MySQL/PostgreSQL often apply. On top of that legacy applications tend to be extra slow and large which can make performances suffer.
One could also expect to rewrite a good amount of code to make the application fit for Lambda. For example file uploads and sessions often need to be adapted to work with the read-only filesystem. Cron tasks, scripts or asynchronous jobs must be made compatible with Lambda and possibly SQS. Finally there are no case studies or online examples of such a thing being done before (to the extent of our knowledge).
Not impossible, but definitely not the easiest place to start.
Get started with Bref by reading the installation documentation.