
Amazon CloudFront
CloudFlare
KeyCDN
CDN77
Akamai
Fastly
Sucuri
Imperva Cloud Application Security
Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
Amazon CloudFrontBased on our record, Amazon CloudFront should be more popular than Deepnote. It has been mentiond 87 times since March 2021. 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.
Using a Content Delivery Network (CDN) like CloudFront to serve static assets faster. - Source: dev.to / about 2 months ago
Semantic Caching: Cache similar queries' results using result fingerprinting. Edge caching via Amazon CloudFront for reduced latency. - Source: dev.to / 2 months ago
CloudFront may sound like Cloudflare, but it is an unrelated AWS service (https://aws.amazon.com/cloudfront/) (Disclaimer: I work for Cloudflare, which is not CloudFront). - Source: Hacker News / 2 months ago
In this post we are using an Amazon EC2 T3 Micro instance running Ubuntu with an nginx web server. We'll use AWS Systems Manager to help set up a CI/CD pipeline using GitHub Actions. We'll then configure AWS Certificate Manager with Amazon CloudFront and have it connected to our domain with Amazon Route 53! We'll be using a Vue Nuxt 4 application as our web app. - Source: dev.to / 5 months ago
A best practice for your web applications is to use Amazon S3 to store content and Amazon CloudFront to deliver it to users and protecting your data at rest and in transit. Encryption is one of protection controls AWS provides you to reduce the risks of unauthorized access, loss, or exposure. In this blog post, you will learn how to implement one of these options (SSE-KMS) in S3 when using CloudFront for content... - Source: dev.to / 5 months ago
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / about 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / about 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / over 2 years ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / about 3 years ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 3 years ago
CloudFlare - Cloudflare is a global network designed to make everything you connect to the Internet secure, private, fast, and reliable.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
KeyCDN - KeyCDN is a high-performance Content Delivery Network (CDN). Lowest price globally at $0.04/GB with HTTP/2 Support and free Origin Shield.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
CDN77 - Content Delivery Network - website speed acceleration with CDN77. 28+ PoPs, Pay-as-you-go prices, no commitments.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.