backstage VS rupy

apiVersion: scaffolder.backstage.io/v1beta3 # https://backstage.io/docs/features/software-catalog/descriptor-format#kind-template kind: Template metadata: name: sample-btpsubaccount-remote-template title: Remote Template for SAP BTP Subaccount Setup description: A remote template that creates a basic SAP BTP Subaccount setup tags: - sap - btp - basic - javascript spec: owner: user:guest type: service

Backstage is an open-source platform developed by Spotify for managing the entire lifecycle of developer infrastructure, including services, APIs, documentation, and more. Backstage streamlines the development process through its centralized and customizable platform, offering a unified dashboard that consolidates information on projects, services, and infrastructure. Acting as a service catalog enhances transparency by allowing teams to document and discover internal services easily. Backstage's extensible architecture supports a robust plugin ecosystem, enabling teams to tailor the platform to their specific workflows and preferences. The platform promotes collaboration, accelerates onboarding through standardized documentation, and integrates seamlessly with various DevOps tools.

It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.

We use Confluence and markdown files in GitHub. I think we are moving a lot of our docs to Backstage [0] soon.

One process that ends up being really valuable for documentation purposes is our "Architecture Review Documents". This is a standard document that team leads fill out before starting work on a new Saga/Epic/Feature/whatever. It includes the scope and business value of a new feature or large block of work, high level technical architecture of implementation, the impact on existing database schemas and service APIs, etc. This document is presented in a meeting with technical leadership in our organization who deep dive on the topic and explore potential pitfalls in the plan.

The document and recording of that meeting live on forever, and this information is very useful when getting acquainted with a certain part of our product/codebase. You are able to read and hear clearly the intention of a certain service or module, and you can identify several relevant points of contact to ask questions to.

[0] https://backstage.io/

Check the Backstage repo on GitHub

Backstage - An open platform for building developer portals. [Internal Developer Portal]

So you've just bought a new platform tool? Maybe it's Hashicorp Vault? Snyk? Backstage? You’re excited about all of the developer experience, security and other benefits you're about to unleash on your company—right? But wait…

The idea is to have a central point where people can find standards, documentation, and designs. The team can do this with a specialized tool like Backstage, Confluence, Github, Google Docs, or some internal implementation. The software is not the most important thing here, but having an easy way to find what is needed for the person to be more productive.

I have been running a Raspberry 2 cluster for 10 years: http://host.rupy.se

A few weeks back the first SD card to fail got so corrupted it failed to reboot!

My key learning is use oversized cards, because then the bitcycle will wear slower!

I'm going from 32GB to 256/512/1024!

How this article does not mention SSE, comet or chunking escapes me.

What does their definition of event-driven really look like in practice.

Nobody has a clue.

Here is the ideal event driven system, it's async-to-async: https://github.com/tinspin/rupy/wiki/Fuse

The example is not working because I had to shut down the services for multiple reasons, but the high level of it is that you use 4 (potentially different) threads to do one request/response middle man transaction.

That way you have _zero_ io-wait or idling. I'm surprised nobody has copied this approach since I invented it 10 years ago. I understand why though you need your entire chain to be async and that means rewriting everything and that is a big risk when it's hard to debug.

But if you succeed you can build something that is 10x perf/watt than all other implementations. Which is going to be important when interest rates go higher and crash our entire industry.

The hardware is peaking.

So software is where you can make the difference: http://host.rupy.se

I think we're all confused over the definition. Also one might understand what all the proponents are talking about better if they think about this more as a process and not some technological solution:

https://github.com/tinspin/rupy/wiki/Process

All input I have is you want your code to run on many machines, in fact you want it to run the same on all machines you need to deliver and preferably more. Vertically and horizontally at the same time, so your services only call localhost but in many separate places.

This in turn mandates a distributed database. And later you discover it has to be capable of async-to-async = no blocking ever anywhere in the whole solution.

The way I do this is I hot-deploy my applications async. to all servers in the cluster, this is what a cluster node looks like in practice (the name next to Host: is the node): http://host.rupy.se if you click "api & metrics" you'll see the services.

With this not only do you get scalability, but also redundancy and development is maintained at live coding levels.

I have hosted my own web server both physically and codevise since 2014.

It's on a Raspberry 2 cluster:

http://host.rupy.se

Since 2016 i have my own database also coded from scratch:

http://root.rupy.se

We need to implement HTTP/1.1 with less bloat, a C non-blocking web server that can share memory between threads is probably the most interesting project for humans right now, is anyone working on that?

I have one in Java: https://github.com/tinspin/rupy

Here is the 2000 lines of code of the entire database: http://root.rupy.se/code?path=/Root.java

And here you can try it out: http://root.rupy.se

The smallest PaaS you have ever seen is one order of magnitude larger than mine: https://github.com/tinspin/rupy

And I bet you the same goes for performance, if not two!

The data is here: http://fuse.rupy.se/about.html

Under Performance. Per watt the fuse/rupy platform completely crushes all competition because of 2 reasons:

- Event driven protocol design, averages at about 4 messages/player/second (means you cannot do spraying or headshots f.ex. which is another feature in my game design opinion).

- Java's memory model with atomic concurrency which needs a VM and GC (C++ copied that memory model in C++11, but it failed completely because they lack both VM and GC, but that model is still to this day the one C++ uses), you can read more about this here: https://github.com/tinspin/rupy/wiki

You can argue those points are bad arguments, but if you look at performance per watt with some consideration for developer friendlyness, I'm pretty sure in 100 years we will still be coding minimalist JavaSE on the server and vanilla C (compiled with C++ compiler) on the client.