Amazon AWS VS Serverless-Dev-Tools
Compare Amazon AWS VS Serverless-Dev-Tools and see what are their differences
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Amazon AWS
Google Cloud Platform
Microsoft Azure
DigitalOcean
Linode
Heroku
Vultr
CloudFlare
Serverless-Dev-Tools
Serverless
CTO.ai
LaunchKit - Open Source
whatdevsneed
GitHub
Weights & Biases
DevDojo
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You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be a lot more popular than Serverless-Dev-Tools. While we know about 485 links to Amazon AWS, we've tracked only 1 mention of Serverless-Dev-Tools. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> but it's still a singleton instance, so where do you run it? Most hardware doesn't give you enough uptime for what you need here, because what you actually needed was a re-architecture for distribution / failover / whatever, and while you could ask your LLM to do that you aren't going to run your bank on the result. If only we had a way to solve these issues with tools capable of running Rust programs in that... - Source: Hacker News / 11 days ago
Not because infrastructure isn't important. It is. Not because Amazon Web Services (AWS) is a bad platform. It isn't. - Source: dev.to / about 1 month ago
The AWS S3 documentation covers all of these in detail. The configuration takes about an hour to get right the first time and rarely needs changes after. - Source: dev.to / about 2 months ago
The first pattern is direct-to-storage. The client uploads chunks directly to an object storage service like Amazon S3 using pre-signed URLs. The application server creates the upload session and grants permission but never sees the file bytes. This pattern scales well because the application servers do not handle the upload bandwidth. - Source: dev.to / about 2 months ago
AWS Secrets Manager provides managed secrets storage with automatic rotation for RDS databases, Redshift clusters, DocumentDB, and other common services. For applications running on AWS infrastructure, Secrets Manager integrates directly with Lambda, ECS, EKS, and EC2 at the platform level, injecting secrets into the application environment without requiring files on disk or manual retrieval code. - Source: dev.to / 3 months ago
Sls-mentor is inspired by a sls-dev-tools feature called Guardian (developed by our friends at Aleios), but our goal is to push the experience much further: we want everyone to be able to know, with a simple command, what can be improved on their app! - Source: dev.to / over 3 years ago
Google Cloud Platform - Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.
Serverless - Toolkit for building serverless applications
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
CTO.ai - Build, share & run developer workflows in the CLI + Slack
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
LaunchKit - Open Source - A popular suite of developer tools, now 100% open source.