The analysis above shows that despite the powerful services offered by large cloud service providers like AWS, there's still a significant learning curve for developers to effectively utilize these services. This might explain the emergence of AI Infra products like LangSmith, Modal, and LaptonAI, which aim to be one-stop service providers for AI applications. We, on the other hand, take a different approach by... - Source: dev.to / 7 days ago

I'm going to make a left field suggestion and say Modal Labs if you're mostly Python based: https://modal.com/ It should work with other languages through Docker and their Python API, but I can't speak to the ease of deployment in that case. - Source: Hacker News / 23 days ago

I recommend checking out https://modal.com It’s “serverless” and You only pay for the compute you use. - Source: Hacker News / about 1 month ago

Apart from Supabase, I use Modal. I consider it the best hosting service for running ML and AI processes in Python. - Source: dev.to / about 1 month ago

I'm curious if people's qualms around abstracting the cloud/network also apply to the https://modal.com product. Differential seems like a similar project at its core, just focused on the Typescript + microservices ecosystem. - Source: Hacker News / 3 months ago

If I understand correctly, the benefit of using this over something like Compose is the parity with production. In my experience Compose is great for local development, but doesn't hold up well for complex architectures in production. I work for a company [0] building something similar, but mostly agnostic to programming language. One thing I particularly like about the approach is the reduction of time debugging... - Source: Hacker News / 2 days ago

We are building an application/infra platform, Noop [0], it's multi-repo, one key benefit is it facilitates the deployment of different system components with greater isolation. That said, I'm a big fan of mono-repo. Noop actually supports developing mono-repos in a really interesting way. Here's an example [1] Vue + Node backend in one app. It should be pretty straightforward to see how you might be able to... - Source: Hacker News / 10 days ago

Have you considered using a provider that might help eliminate some of the operational burden of running your apps? At a very high level, when using the big 3 and hosting that's raw infra you're going to find ways to pay for _keeping things running smoothly_. At least the big three have happy paths to avoid some of the operational burden (hidden among many many foot guns). Full disclosure I work at noop.dev [1], a... - Source: Hacker News / 23 days ago

Disclosure I work for a company, Noop [1], which is the picture of the steak. As someone working on the marketing side of the endeavor, I see the shift the author describes. There are a handful of PaaS companies picking up where Heroku left off and in the enterprise world devops is evolving toward "platform engineering". Platform engineering suffers from being poorly defined, but there appears to be growing demand... - Source: Hacker News / about 1 month ago

Full disclosure I work at a company [1] attempting to address this very problem. Without dedicated devops the challenge is allocating developer time to do the integration work required to get the various ops tools playing nicely together. In my experience that work is non-trivial and eventually leads to some form of dedicated ops. That is also part of a dynamic -- lots of tools available for solving these problems... - Source: Hacker News / about 2 months ago