For what it's worth you can implement a C compiler in under 10kLOC. The chibi C compiler is only a few thousand lines [1]. There is also Cake [2] and the tiny C compiler [3] which are both relatively small. [1] https://github.com/rui314/chibicc [3] https://bellard.org/tcc/. - Source: Hacker News / 3 months ago

I was going to say, the list should include something by Fabrice Bellard. Tiny C Compiler is one. https://bellard.org/tcc/ I was thinking, maybe first version/commit of QEMU would be interesting to read. - Source: Hacker News / 11 months ago

I occasionally use tcc (https://bellard.org/tcc/) like an interpreter (`tcc -run`), it's convenient for certain odd tasks. Not so much for interactive stuff, but if I'm building little PoCs for an idea that will get dropped into a C project, or fiddling with structs work out how something should/is being stored, or in situations where I'm making stuff that interacts with or examples based on C code and I want to... - Source: Hacker News / about 1 year ago

This reminded me the idea of compilers bootstrapping (https://news.ycombinator.com/item?id=35714194). That is, now you can code in SectorC some slightly more advanced version of C capable of compiling TCC (https://bellard.org/tcc/), and then with TCC you can go forward to GCC and so on. - Source: Hacker News / about 1 year ago

The tinyc compiler reads scripts like a c-interpreter, with shebang and all. Source: about 1 year ago

The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / about 1 month ago

The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / about 2 months ago

One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 7 months ago

I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 8 months ago

Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 11 months ago