Amazon AWS Reviews

1. macloughlin

   · AV engineer · about 3 years ago
   The best cloud platform out there

   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.

   👍 Pros:    Great documentation|Website structure visualization|You have control over everything|Flexibility

   👎 Cons:    Learning curve|A lot of dashboards for different things

CodeOcean Reviews

Amazon AWS mentions (486)

• Cloudflare Workers vs AWS Lambda: Real-World Performance Benchmarking

  In conclusion, Cloudflare Workers and AWS Lambda are two popular edge computing solutions that offer a range of benefits, including reduced latency, improved performance, and enhanced security. By understanding the key differences between these solutions, businesses can make informed decisions about which one to use. Whether you're building a real-time analytics application or a serverless API, Cloudflare Workers... - Source: dev.to / 1 day ago

• Postgres rewritten in Rust, now passing 100% of the Postgres regression tests

  > 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 / 24 days ago

• My Experience Moving from AWS to Sevalla

  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 2 months ago

• How to Use Pre-Signed S3 URLs for Direct Browser-to-Storage Uploads

  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

• Why Your File Upload Endpoint Times Out at 4GB

  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

CodeOcean mentions (3)

• Ask HN: PG's 'Do Things That Don't Scale' Manual Examples

  I was an early hire at a computational reproducibility startup for scientists [0]; The platform was basically a web-based frontend wrapped around a Docker container hosted on AWS, and the idea was that you'd put your code and data on the platform and have it be online-executable indefinitely, and you wouldn't have to worry about package updates, functions breaking, etc., because it was containerized. The... - Source: Hacker News / almost 3 years ago

• Show HN: Open-source infra for data scientists

  It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products? It seems like the product also integrates with SCM systems. Are you using gitea and then containers to push code and data to execution like CodeOcean? https://github.com/allegroai/clearml https://codeocean.com/. - Source: Hacker News / over 4 years ago

• publishing data analysis performed in R/code availability

  Code ocean also exists for this purpose, though the number of compute hours is limited on free academic licenses. Source: almost 5 years ago