Access interactive environments simply in the browser. Study scenarios by others or create scenarios for your audience. Our format is Katacoda compatible, so you can simply run your Katacoda scenarios on Killercoda.
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Based on our record, Apache Airflow should be more popular than Killercoda. It has been mentiond 66 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.
Killercoda offers free environments (based on Ubuntu) with various tools for beginners to try hands-on. It also has the Kubernetes playground which provides control plane server access for 1 hour. In which we can try to practice hands-on with control plane components. Because sometimes we are dependent on training platforms to try the control plane (or kubeadm) practice, and killercoda comes handy as a free... - Source: dev.to / about 1 year ago
Maybe check out the canonical page instead: https://killercoda.com. Source: about 1 year ago
Https://killercoda.com/ has a few scenarios. Source: about 1 year ago
I think killercoda is pretty cool, they don't have a lot of scenarios yet but it does create them like killer.sh does. You can even submit scenarios! Source: over 1 year ago
Killercoda has free labs, I recommend doing those. And there are a few other sites offering paid practice exams or even question dumps, but some of those seem sketchy. I'd personally stick to KodeKloud, killer.sh and Killercoda. Source: over 1 year 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 / 12 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
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