Apache Airflow on Kubernetes (MLOps) ๐
If you want to work on MLOps, Data Engineering or AI infrastructure projects,
Knowledge of Apache Airflow can give you a strong advantage.
Apache Airflow is an open source application that helps build and manage complex workflows and data pipelines.
In our detailed blog, we have covered the following.
- What is Apache Airflow
- How DAGs work
- Understand Airflow executors.
- Setting up Airflow on Kubernetes
- Configuring GitSync for DAG management
- Important Day 2 operational insights and moreโฆ
๐ฅ๐ฒ๐ฎ๐ฑ ๐ถ๐ ๐๐ฒ๐ฟ๐ฒ: https://devopscube.com/apache-airflow-on-kubernetes/โฆ
Learning Airflow makes it much easier to understand platforms like Kubeflow because the core concepts are very similar:
- DAGs
- Task orchestration
- Pipeline execution etc..
Also, Airflow is evolving fast.
Apache Airflow 3 is total redesign that expands its capabilities to support complex AI, ML, and near real-time data workloads.
๐๐ฒ๐ ๐๐ป๐๐ถ๐ด๐ต๐: 80,000 organizations use Airflow, with over 30% of users running MLOps workloads and 10% using it for GenAI workflows
โป๏ธ P.S : Repost and share this with the DevOps Community.
