Based on our record, Apache Airflow seems to be a lot more popular than Kubeless. While we know about 66 links to Apache Airflow, we've tracked only 4 mentions of Kubeless. 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.
You can run kubeless on top of a self hosted Kubernetes cluster: https://kubeless.io/. - Source: Hacker News / over 2 years ago
It sounds like you want to run your containers on a serverless platform. You would need Kubernetes to use these but check out Kubeless or Knative. They both have the ability to scale your containers down to zero when not in use and then spin them back up when a request comes in. Source: over 2 years ago
Serverless computing comes into play with the promise of freeing teams from having to deal with operational tasks. The general idea with Serverless computing is to be able to provide the service code, together with some minimal configuration, and the provider will take care of the operational aspects. Most cloud providers have serverless offerings and there are also serverless options on top of Kubernetes that use... - Source: dev.to / over 2 years ago
Right now I'm considering Kubeless as an alternative for OpenFaas for the following reasons:. - Source: dev.to / 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 / 23 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 / 4 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
Gitkube - Build and deploy docker images to Kubernetes using git push.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Supergiant.io - A datacenter management system built on Kubernetes
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.
LastBackend - Lightweight Kubernetes replacement
Make.com - Tool for workflow automation (Former Integromat)