I think the point is that all of that adds complexity that is often unnecessary - a premature optimization if you will. It's like a hammer, and everything looks like a nail to a lot of people.
GP isn’t oppositional, they listed runtime constructs that all run off a single monolith. The point being you don’t need so-called microservices for flexibility in the production environment.
Old incompatible library versions; dependency hell, security SLAs. Old company couldn't get off of Rails 3 for a multitude of reasons and splitting off microservices was a good decision. Syncing state across the services turned into its own barrel of monkeys, but was better overall.
Ive regretted 99% of the services Ive built in AWS lambda over the years. Everytime it gets more complex than a couple hundred lines of code over a few lambas I start to think “if this were just one service, development, deployments, cicd, testing, storage would all be simpler”.
I inherited a Lambda application at one job - when I started it was probably 200+ Lambdas and it got to 128 Lambdas. Lots of message queues, lots of Lambdas subscribed to queues where they ignored 99% of incoming messages... quite a mess. The Lambdas that are gone got repackaged into a SpringBoot application which thoroughly simplified things.
My deployments to Lambda are extremely simple. All I do is hit save in VSCode and the Lambda is updated. Change the env to prod and it deploys instantly to prod.
There's tools that make it easy, I'm still using a tool I built 10 years ago. Very little has changed except the addition of layers, which are also pretty easy and automatically handled in my dev tool.
All the Lambdas I write also run locally, and testing isn't an issue.
The only gripe I have with Lambda is when they deprecate older nodejs versions, and I am forced to update some of my Lambdas to run on current nodejs, which then leads to refactoring due to node module incompatibilities in some specific situations. But those are really nodejs problems and not so much Lambda problems, and it does get me to keep my apps updated.
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You’d be surprised… I ran a MITM proxy on my phone’s network and then downloaded ~30 of those scam apps which just wrap ChatGPT (you know, with names like “Best GPT AI chat 4”).
I found about a third were connecting to OpenAI directly, exposing their full API key in the headers of every request.
Amazing! Steal their keys and stop their $29.99/mo subscription after one month. Profit!
Even if they don’t expose the key it’s likely they are proxying the API with their own “security” which should not be too hard to steal the lang lasting token
There is no way to use it in the frontend securely. Communicating with OpenAI will have to happen on the backend and to prevent anyone from abusing your API, it will have to be protected by authentication.
Yeah sounds like OP is advertising an MVP that you can run in localhost with the sole purpose of proving a concept. There's no way this is going to any wise-man production project
Connect to a backend api that does the requests to OpenAi. Setup CORS to prevent embedding on other sites. And remember your api is still completely unauthenticated so add rate limiting and a block list to limit abuse.
I have asked a similar question, and was pointed to your response here. From what I see at Migadu's site, it is a good service. Currently the top of my list, but the research is ongoing
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