Hey VS Haml

The results of the experiment below were based on reproducing approximately 100 cold starts for the duration of our experiment which ran for approximately 1 hour. For it (and all experiments from my previous articles) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman

The results of the experiment to retrieve the existing product from the database by its id see GetProductByIdViaAuroraServerlessV2DataApiHandler with Lambda function with 1024 MB memory setting were based on reproducing more than 100 cold and approximately 10.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. We won't enable SnapStart on the Lambda function first.

The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. I ran all these experiments for all 3 scenarios using 2 different compilation options in template.yaml each:

In our experiment we'll re-use the application introduced in part 9 for this. There are basically 2 Lambda functions which both respond to the API Gateway requests and retrieve product by id received from the API Gateway from DynamoDB. One Lambda function GetProductByIdWithPureJava21Lambda can be used with and without SnapStart and the second one GetProductByIdWithPureJava21LambdaAndPriming uses SnapStart and DynamoDB request invocation priming. We'll measure cold and warm starts using the following memory settings in MBs : 256, 512, 768, 1024, 1536 and 2048. I also put the cold starts measured in the part 12 into the tables to see both cold and warm starts in one place. The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts for the duration of our experiment which ran for approximately 1 hour. Here is the code for the sample application. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. Abbreviation c is for the cold start and w is for the warm start.

Por último, podemos executar os testes de carga usando hey.

For running our experiments to provoke anomalies we'll use the stress test tool. You can use the tool of your choice (like Gatling, JMeter, Fiddler or Artillery), I personally prefer to use the tool hey as it is easy to use and similar to curl. On Linux this tool can be installed by executing

Hey: is a fast HTTP load testing tool used to test web applications and APIs. It provides a CLI (command-line interface) and supports concurrent requests.

The client and server nodes are CentOS7.9/X86_64. If the HTTP POST requests were sent directly to the server with hey -c 1, there are about 0.2% of cases that may timeout. If the HTTP POST requests were sent through an NGINX proxy on the client node, there are about 20% of cases will timeout. I've confirmed that only one backend node has this problem. All other nodes are 100% succeeded even with higher throughput.

64 concurrent requests isn't a lot. Modern web apps can typically handle much more than that (depending on what the request does, of course). Try it yourself with a load tester like https://github.com/rakyll/hey against a Go HTTP server, for example the one I've built in https://www.golang.dk/articles/go-and-sqlite-in-the-cloud

First of all, I like Slim. I like the beauty and cleanness of Slim templates, to me they are way more readable than regular ERB templates and I think they fit in the ruby/Rails ecosystem very well. Slim is a close cousin to Haml, without the ugly percent characters, haha. I've used Slim exclusively in my projects since about 2016.

> I can't say what problem it is supposed to solve

"Haml accelerates and simplifies template creation" https://haml.info/

If you'd rather write raw HTML, keeping track of closing tags etc, then don't use HAML. No need to bash it because you personally feel it is ugly or unnecessary. FWIW I personally feel the exact opposite.

Personally, I'd recommend Maud if you don't need something with runtime reloading. Not only is it much faster, it implements a template language that is effectively the Rust-syntax equivalent to Slim or Haml using a procedural macro, so you get compile-time verification that your HTML output is well-formed.

Does this support HAML-style syntax? We're 100% HAML-only for templating, whether normal Rails views or ViewComponent... https://github.com/haml/haml https://haml.info/ so going back to writing HTML or ERB feels like a huge downgrade.

For templating, Maud is fast, gives compile-time well-formedness guarantees, and outputs minified HTML by default as a side-effect of it being based on Rust macros. (It's of a similar design philosophy to Slim and Haml)

You don’t even need closing tags. Both Haml and Jade do away with closing tags altogether.

That looks awfully like HAML.

Your HBML is similar to HAML - is it time for HCML? https://haml.info/

it's an HTML preprocessor called HAML