re:Web enables classic web applications to run on AWS Lambda.
It translates serverlessly between any web application and the AWS API Gateway or AWS Application Load Balancer.
Traditional web applications need to be deployed on VMs or in containers. These run continuously around the clock, which means you have to reserve (pay) CPU and RAM capacity continuously. Every millisecond that your service is not busy handling a web request, it is wasting resources. Typical web applications spend more than 90% of their CPU time idle. That's a lot of waste! Finely tuned and well-operated high-traffic applications may see much better utilization, but even then there is a lot of headroom (waste).
With re:Web and AWS Lambda, you can practically eliminate this waste: Resources are billed only as they are actually used for each individual web request, down to the millisecond.
This can mean significant savings for any usage pattern, but of course it's especially awesome for applications that are not used around the clock, like Grafana, or applications that are used in a very unpredictable and peak-prone way, like PostgREST.
This architecture has some key benefits:
- It's significantly cheaper for many workloads
- Seamless auto-scaling without any configuration
- Full high-availability across all Availability Zones
- Easy code updates
This is experimental / a proof of concept. Maybe don't use it in a high-profile production site just yet. :-)
But it works surprisingly well. I'd like to evolve this idea and push the envelope a little, to see what's possible. The most imporant next step is to test and document more applications that work this way.
Because re:Web behaves like a HTTP proxy, it can potentially work with many, many applications!
It requires zero code changes.
All you need to do is to add the re:Web binary and use it as the
In some cases, some trivial changes to the application's
Dockerfile are necessary, to make the application suitable
for the AWS Lambda execution environment.
The following applications have been tested and are known to work:
- Wordpress (setup reference) (full setup walk-through)
- SMF / Simple Machines Forum (setup reference)
- PostgREST (setup reference)
- Grafana (setup reference)
- Kibana (setup reference)
Click on the links for setup details.
The following applications are known NOT to work:
- pgAdmin (session management)
There's some high-traffic load test data for Wordpress; it includes some napkin math for potential AWS costs.
How it Works
High level overview:
We abuse the API Gateway because it's simply the better Load Balancer -- it has less administrative overhead, we don't need to embed it in any VPC, and most importantly, it charges per actual request instead of per hour.
It is used simply as a dumb HTTP proxy and forwards all requests to Lambda. Note that it terminates TLS; it allows custom domain names and ACM certificates.
Application Load Balancer
There's several scenarios where ALB might be preferable to API Gateway -- most importantly, it becomes cheaper than API Gateway at some traffic levels.
When using ALB, make sure to select Multi Value Headers in the ALB Target Group attributes.
The re:Web binary is a small piece of Go code that is added to the original web application's container image. It is the Lambda's entrypoint. On startup, it starts the actual web application, and waits until it becomes available. It handles communication with the Lambda Runtime API, and for each incoming request (Lambda invocation), it will make a corresponding HTTP request to the web application.
This is simply the web application, as it would have been deployed per usual. Most software images come with some web server built-in, e.g. Apache or nginx, and/or they provide their own HTTP server which would serve traffic directly to the public in a VM or container deployment. re:Web acts as a proxy to this HTTP server.
Many! In no particular order:
- Test and document many many more applications!
- Work around the Lambda 6 MB response limitation by dynamically offloading such responses to S3
✅Implement re:Web for AWS Application Load Balancer (as alternative to API Gateway)
- Provide ready-to-use images of popular applications
- Provide Terraform and/or Cloudformation packages for one-click deployment
- Find a good way to provide secret data as environment variables (from Secrets Manager or SSM Parameter Store, but without impacting cold-start time)
- Find ways to give more "breathing room" for background threads (ideas)
- Your ideas...?
Contributions welcome, of course! See below for "Contact".
Due to the potentially high and fluctuating concurrency of Lambda, re:Web can only work with applications that behave properly in such settings. Any application that needs to keep local state, like session information, will not work. While some such applications can be coerced by using a load balancer's "sticky session" feature, this workaround will not help on Lambda.
Lambda itself has several very important limitations.
$REWEB_FORCE_GZIPhelps, but that's not guaranteed. (When using ALB, it's even less, see below)
The Lambda environment fully halts execution while there is no request in progress. That means there cannot be any background activity. This is perfectly fine when the code path is purely request based, for example with PHP. Anything with backgrounds threads, like Java or Node, may trip because it's being stopped and resumed all the time. In practice, this seems to cause no harm, but it must be kept in mind.
While Lambda can deploy from container images, it's not actually running a container as we know it. One important difference is that all the file system is read-only (except for
/mnt). Writes to, say,
/var/run/foo.pidwill fail. Any such paths will need to be adjusted.
Lambda does not allow root-level privileges, therefore it's not possible to use well-known ports -- any web application that comes with a default port below 1024 needs to be reconfigured.
See also: Lambda quotas.
API Gateway vs. Application Load Balancer
|Limit||API Gateway||Application Load Balancer|
|Protocols||HTTPS only||HTTP and/or HTTPS|
|Request size (uploads)||10 MB||1 MB|
|Response size||6 MB (from Lambda)||1 MB|
|Timeout||max. 30 seconds||900 seconds (from Lambda)|
One more thing to keep in mind is the web application's startup time. Every time when Lambda needs to spawn an additional instance to handle a request, this request will have to wait until that instance is ready.
This is next to nothing for many languages like PHP and Go (1-3 seconds at most -- not very noticable), but can be annoying (Kibana/Node takes ~10 seconds to start) or it can flat out stop the show (e.g. Confluence/Java takes about half a day to start). All subsequent requests handled by a "warm" instance can complete in mere milliseconds, of course.
This can be worked around with using Lambda Provisioned Concurrency, but that voids the Lambda cost advantage. It might still be preferable to a container deployment for availability reasons though; "it depends".
Lambda VPC Interface Idle
To quote an AWS blog post: "If Lambda functions in an account go idle for consecutive weeks, the service will reclaim the unused Hyperplane resources and so very infrequently invoked functions may still see longer cold-start times" (emphasis added)
Serverless WordPress on AWS Lambda modifies Wordpress to run in Lambda, giving basically the same results as re:Web for this specific application. The article has some additional hints regarding S3 plug-ins.
Chalice "is a framework for writing serverless apps in python."
"My Dream of Truly Serverless", a blog post I have yet to write
A Tale of Two Projects
As mentioned above, the serverlessish implements the very same idea, in an amazingly similar way. The main differences are that it is built for the AWS Application Load Balancer (instead of API Gateway) and is designed as a Lambda Extension. We have been in contact; updates soon.
Are you AWS?
I believe the whole concept here is gold. But shoehorning it into Lambda requests and translating JSON/HTTP back and forth is hacky. This could be made into something beautiful, with some changes in the involved AWS Services. Let's talk!
News and Updates
There is now a small blog where I post news and updates.
For bug reports, pull requests and other issues please use Github.
For everything else: