The company [0] I work for gave a talk on this [1]. We're going a bit beyond analyzing logs because we have more contextual information about running software so we can compare different application state over time and infer whether it appears the application is experiencing an "incident". 0. https://noop.dev 1. https://www.youtube.com/watch?v=PxZx71xfIl8. - Source: Hacker News / 8 days 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 / about 1 month 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 / about 1 month 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 / about 2 months 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 / 2 months ago

Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an AI application to a person, the LLM would be the "brain," while LangChain acts as the "limbs" by providing various tools and abstractions. Combined, they enable the creation of AI... - Source: dev.to / about 1 month ago

Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / 2 months ago

LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / 4 months ago

Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / 5 months ago