tracetest VS serverless-graphql

Code Example

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git clone https://github.com/kubeshop/tracetest cd tracetest/examples/setup-of-tracetest-tests

The code to execute this scenario is contained in the delete_test.ts file from a repo which we will clone and run locally further in this article. First, let’s discuss the code for the key sections that are utilizing the [@tracetest/client](https://www.npmjs.com/package/@tracetest/client) NPM package.

If you want to see the code example right away, check it out on GitHub, here.

If you’re eager to start, clone the example from GitHub and get a Tracetest Agent public URL and Token after signing up at app.tracetest.io. Sign up for a Cloudflare account on

For this example, I’ll showcase this simple example app for Tracetest and Sumo Logic. To quickly access the example, you can run the following:

If you get stuck along the tutorial, feel free to check out the example app in the GitHub repo, here.

It’s official! You can now use synthetic monitoring to run trace-based tests with Tracetest’s new GitHub Action. I’ve already implemented dogfooding and it’s currently running in production as health checks, running hourly, here.

In this article, we will use Serverless Framework and Docker Desktop to deploy Dart functions to AWS Lambda. If you haven't installed them yet, please complete the installation using the following commands or links.

Since then, the ecosystem has changed. Using the Serverless Framework makes deployment simpler. We released the managed Tracetest App making any serverless-based systems simpler to instrument and test. You can now test public-facing apps with no infra overhead!

We see some great results from using these in conjunction with frameworks such as SST or Serverless, and also some real spaghetti from people who organically proliferate 100’s of functions over time and lose track of how they relate to each other or how to update them safely across time and service. Buyer beware!

When we think about AWS serverless service, the first thing that comes to our mind is Lambda function. Yes, the quickest way to deploy this backend Express JS app to AWS is to deploy it as a Lambda function. The easiest way is using Serverless Framework.

Serverless Framework: https://www.serverless.com/

Github | Website

In this example, we're using the serverless framework to quickly set up the Lambda function along with an API gateway for the entry point. The lambda function is a simple Koa REST API with a few functional endpoints.

Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.

1 - Serverless + AWS CDK + Lift: An integration that amps up the traditional Serverless Framework with Lift's static frontend construct and CDK's robust infra definition.

It's a bit easier in Python if you use tools like https://www.serverless.com/. I'm not sure if Rust has something similar yet.