Based on our record, Google Kubernetes Engine seems to be a lot more popular than Azkaban. While we know about 45 links to Google Kubernetes Engine, we've tracked only 3 mentions of Azkaban. 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.
Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 14 days ago
Cloud Clusters: If you'd rather work in a cloud environment, consider platforms like Google Kubernetes Engine (GKE) or Amazon EKS for managed Kubernetes clusters. - Source: dev.to / 17 days ago
In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana. - Source: dev.to / about 1 month ago
Set up a remote Kubernetes cluster. For this tutorial, Google Kubernetes Engine (GKE) was chosen; however, feel free to use any remote Kubernetes cluster. - Source: dev.to / about 2 months ago
Docker swarm still exists, it still works, and some of these other container orchestrators are still hanging on, but for the most part, you’re using Kubernetes if you’re doing this stuff at work. Generally it's well-understood that kubernetes is hard to get right, and so most people use it via a managed provider like Elastic Kubernetes Service from AWS, Azure Kubernetes Service from MSFT, or Google Kubernetes... - Source: dev.to / 4 months ago
Not sure if https://azkaban.github.io/ would fit your use case. Source: about 2 years ago
I used this once, was pretty nice: https://azkaban.github.io/. Source: about 2 years ago
Apache Azkaban is a batch workflow job scheduler to help developers run Hadoop jobs. The open-sourced platform “resolves ordering through job dependencies” and offers an intuitive web interface to help users maintain and track workflows. Source: about 2 years ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.
OpenShift Container Platform - Red Hat OpenShift Container Platform is the secure and comprehensive enterprise-grade container platform based on industry standards, Docker and Kubernetes.
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.