pulumi-aws VS NATS

Sure, but the providers for some of the biggest platforms are maintained by HashiCorp[1] - like the AWS, Azure, GCP, and Kubernetes providers[2], and it appears the Pulumi AWS provider (for example) _does_ use the Terraform AWS provider, even to this day[3].

1. https://developer.hashicorp.com/terraform/registry/providers... - "official" providers are maintained by HashiCorp

2. https://registry.terraform.io/browse/providers?tier=official - The filtered list of "official" providers maintained by HashiCorp

3. https://github.com/pulumi/pulumi-aws/tree/008c4360bc9fc24303... - Just prove it to myself, I can see the `upstream` git submodule, which embeds pulumi/terraform-provider-aws, which is a fork of hashicorp/terraform-provider-aws, although the repo was not created as a fork in Github, so it is not marked as a "fork" and so I have to compare commit histories to tell that it is a fork.

>Isn't pulumi aws just terraform under the hood still?

It depends.

The AWS "Classic" provider uses the terraform provider [1].

The AWS "Native" provider does not, and instead uses the AWS Cloud Control API [2].

[1]: https://github.com/pulumi/pulumi-aws

[2]: https://github.com/pulumi/pulumi-aws-native

Pulumi uses terraform providers to schematize the CRUD options for some cloud providers. Part of the difficulty with any infrastructure as code offering is that your favourite cloud provider doesn't always provide a full API spec, so we need to somehow figure out what resources can be created, what parameters are available to those resources etc. We take the terraform provider, look at the available operations for that provider and then turned it into a Pulumi schema, which can then be read by the Pulumi engine. If you take a look here you can actually see that generated schema for AWS.

Several message brokers, such as NATS and database queues, are not supported by OpenTelemetry (OTel) SDKs. This article will guide you on how to use context propagation explicitly with these message queues.

https://nats.io/ (Tracker removed)

> Connective Technology for Adaptive Edge & Distributed Systems

> An Introduction to NATS - The first screencast

I guess I don't need to know what it is

During our interview, we referred to NATS quite a few times! If you want to learn more about it, Sebastian suggests this tutorial series.

Pueue dumps the state of the queue to the disk as JSON every time the state changes, so when you have a lot of queued jobs this results in considerable disk io. I actually changed it to compress the state file via zstd which helped quite a bit but then eventually just moved on to running NATS [1] locally.

[1] https://nats.io/

Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.

Why wasn't NATS[1] used ?

Written in Go, single-binary deployment... there's a lot to love about NATS !

[1]https://nats.io/

require nats.io

About cost, see [1]. Also, S3 prices have been increasing and there's been a bunch of alternative offers for object store from other companies. I think people in here (HN) comment often about increasing costs of AWS offerings.

Distributed systems and consensus are inherently hard problem, but there are a lot of implementations that you can study (like Etcd that you mention, or NATS [2], which I've been playing with and looks super cool so far :-p) if you want to understand the internals, on top of many books and papers released.

Again, I never said it was "easy" to build distributed systems, I just don't think there's any esoteric knowledge to what S3 provides.

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1: https://en.wikipedia.org/wiki/Economies_of_scale

2: https://nats.io/

I am in a project were nats.io is used. Someone thought, it would be a great idea to link data in an event with data in a response using the response channel name.