
Graphite
CodeRabbit
GitHub
Prometheus
Grafana
Inkscape
Datadog
Ellipsis
Modal
e2b
Zerve AI
Hugging Face
Replicate.com
Cerebrium
dat1.co
Daytona
Graphite
ModalGraphite is recommended for developers, system administrators, and IT professionals who need to monitor and visualize time-series data, particularly those working in environments with large-scale data monitoring needs.
Based on our record, Modal should be more popular than Graphite. It has been mentiond 45 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.
Startups should check the internet before naming them after tools like Graphite for monitoring https://graphiteapp.org/. - Source: Hacker News / 7 months ago
Heh, I read Graphite as the monitoring tool[1] and was very confused for a second what they want with that old thing. 1: https://graphiteapp.org/. - Source: Hacker News / 7 months ago
Graphite: Focused on simple metrics collection and visualization, widely used in DevOps monitoring. - Source: dev.to / 10 months ago
Graphite is an open source monitoring and logging system that utilizes a push-based design architecture. What this means is that Graphite allows services to push their API logs into a component called Graphite Carbon, which is then stored in a database for later deep introspection and transformation. Prometheus, another open-source monitoring toolkit designed for cloud-native applications, is often used alongside... - Source: dev.to / over 1 year ago
Not to be confused with: https://graphiteapp.org/ (Time Series DB) https://graphite.dev/ (Code review suite). - Source: Hacker News / over 1 year ago
If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:. - Source: dev.to / about 2 months ago
The supported environments include your local machine, Docker containers, remote SSH servers, and two serverless options called Daytona and Modal. Daytona and Modal are the interesting ones for beginners as they handle all the infrastructure for you, and you only pay for compute when Hermes is actively doing something. - Source: dev.to / 3 months ago
TL;DR: If you just need to ship fast, E2B has the best SDK experience. If you need the fastest cold starts, Blaxel wins at 25ms. For GPU workloads, Modal is unmatched. For self-hosted control, Daytona is open-source with a managed option. For persistent long-running sessions, Fly.io Sprites gives you 100GB NVMe per sandbox. - Source: dev.to / 4 months ago
* dramatically increasing inference throughput on [modal.com](http://modal.com) meant I could generate 10s of thousands of tiles in a few hours at very little cost, allowing me to experiment much more rapidly This project continues to be a lot of fun, but Iโm now mostly focusing on the agentic workflows that power this kind of ambitious generation at scale. Canโt wait to share more soon. - Source: Hacker News / 5 months ago
Thanks for sharing this interesting project and approach! One suggestion for improvement: Add some more info to your website/GitHub about the need for a provider and which providers are compatible. It took me a bit to figure that out because there was no prominent info about it. Additionally, none of the demos showed a login or authentication part. To me, it seemed like the VMs just came out of nowhere. So at... - Source: Hacker News / 5 months ago
CodeRabbit - Unleash AI on Your Code Reviews with CodeRabbit
e2b - Open-Source AI Powered IDE That Does The Work For You
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Zerve AI - What if Jupyter + Figma + VSCode had a baby?
Prometheus - An open-source systems monitoring and alerting toolkit.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.