Based on our record, Apache Airflow seems to be a lot more popular than Porter. While we know about 66 links to Apache Airflow, we've tracked only 4 mentions of Porter. 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.
Https://getporter.org/ https://getporter.dev/ One of you is going to have to rename yourselves... - Source: Hacker News / over 1 year ago
Porter - a fully-managed PaaS that lets teams automate DevOps. The free basic tier for porter cloud offers management of 1 cluster with up to 10 vCPU and 20 GB memory. - Source: dev.to / over 1 year ago
There are some YC startups (AtomizedHq.com and getporter.dev) that are doing really interesting things with cross-cloud K8S deployments (more like heroku). These are all different bits of the serverless microservices scaling puzzle. We are a long way off but trying to think long term, even as a 2 person alpha prototype :). Source: almost 3 years ago
But then I saw a YC startup called Porter (https://getporter.dev) that made getting the cluster set up and deploying the apps from Heroku on AWS EKS a piece of cake. It's really great. There is another YC startup called Atomized (https://atomizedhq.com) that I've been looking at that's also really great. They are both worth checking out, and the teams from both are super-responsive. Source: almost 3 years ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 11 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Render UIKit - React-inspired Swift library for writing UIKit UIs
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Make.com - Tool for workflow automation (Former Integromat)