Fleet VS serverless-graphql

Yo! We're working on the fix. You can track progress here: https://github.com/fleetdm/fleet/issues/17165

Disclosure #2: I'm the CEO

One of my fav things about this is that we're solving the "Linux MDM problem". As a person who likes to use Linux, it's exciting that, no matter how big the company gets, I can still use whatever OS I want at work (and still be "offboard-able", with everyone passing their audits.)

Source code for Fleet is available at https://github.com/fleetdm/fleet.

It is indeed early stage. The oldest company is Fleet https://fleetdm.com/ who do open source device management and raised at $100m post in 2022 https://techcrunch.com/2022/04/28/fleet-nabs-20m-to-enable-e...

Thanks for clarifying. You may want to look into Fleet at the link below. The intent of the question wasn't to voice an opinion but to determine if any opensource solutions that cost more to support via self-hosting would incur more costs than Intune licenses if it's only for one customer.

Looking at Fleet for managing primarily Mac-based environments.

* https://github.com/fleetdm/fleet

Supposedly, One can search github using `language:typescript filename:docker-compose.yml stars:>1000` but it's not working for me somehow.

Osquery + Fleet. https://osquery.io/ https://fleetdm.com/, using the two allows you to build a query to answer what ever questions you (or an auditor) might have about your environment.

Also see Fleet (https://fleetdm.com/) for an open source self-hosted solution. I'm currently using this at a small company to query / enforce policies across a bunch of Windows laptops.

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.

Serverless