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awesome-apache-airflow
Curated list of resources about Apache Airflow
https://github.com/jghoman/awesome-apache-airflow
Last synced: 4 days ago
JSON representation
-
Best practices, lessons learned and cool use cases
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Airflow Dag Python Package Management - Managing python package dependencies across 100+ dags can become painful. It's hard to keep track of which packages are used by which dag, and hard to clean up during DAG removal/upgrade. Learn how KubernetesPodOperator and DockerOperator can fix this.
- What we learned migrating off Cron to Airflow - [Katie Macias](https://medium.com/@katiemacias) describes [VideoAmp](https://www.videoamp.com/)'s Data Engineering's journey from cron to Airflow.
- Testing in Airflow Part 2 - [Chandu Kavar](https://twitter.com/chandukavar) and [Sarang Shinde](https://www.linkedin.com/in/sarang-shinde-219a4873/) have explained Integration Tests and End-to-End Pipeline Tests.
- We're all using Airflow wrong and how to fix it - [Jessica Laughlin](https://www.jldlaughlin.com/) of [Bluecore](https://www.bluecore.com/) shares three engineering problems associated with the Airflow design and how to solve them by using the [KubernetesPodOperator](https://github.com/apache/airflow/blob/v1-10-stable/airflow/contrib/operators/kubernetes_pod_operator.py) in two design patterns.
- Lessons learnt while Airflow-ing - part-2-lessons-learned-793fa3c0841e) - [Nehil Jain](https://twitter.com/nehiljain) has written a two-part series that covers the value of workflow schedulers, some best practices and pitfalls he found while working with Airflow. The [second article](https://medium.com/snaptravel/airflow-part-2-lessons-learned-793fa3c0841e) in particular includes many production tips.
- Why Robinhood uses Airflow - [Vineet Goel](https://twitter.com/vineetik) walks through why financial trading platform [Robinhood](https://robinhood.com/) picked Airflow over alternative work schedulers.
- Under the Hood: Building AIR at Qubole - [Sreenath Kamath](https://www.linkedin.com/in/sreenath-kamath-66a1b970/) and [Rajat Venkatesh](https://twitter.com/vrajat) write about building [Qubole](https://www.qubole.com/)'s [data discovery, insights and recommendations platform](https://www.qubole.com/blog/building-qdsair-infrastructure/) atop Airflow.
- Airflow: Why is nothing working? - TL;DR Airflow’s SubDagOperator causes deadlocks - Deep dive into troubleshooting a troublesome Airflow DAG with good tips on how to diagnosis problems.
- Apache Airflow as an External scheduler for distributed systems - [Arunkumar](https://medium.com/@rako) suggests using Airflow as a simple external scheduler for a distributed system.
- How Sift Trains Thousands of Models using Apache Airflow - Summary of [Sift Science](https://siftscience.com/)'s deployment strategy for its machine learning model pipelines.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Airflow Dag Management & Versioning - Efficently manage DAGs release process by using Git Submodules
- Testing in Airflow Part 2 - [Chandu Kavar](https://twitter.com/chandukavar) and [Sarang Shinde](https://www.linkedin.com/in/sarang-shinde-219a4873/) have explained Integration Tests and End-to-End Pipeline Tests.
- Upgrading & Scaling Airflow at Robinhood - [Abishek Ray](https://www.linkedin.com/in/abhishek-ray-29210145/) describes how Robinhood tackled upgrading its production Airflow while minimizing downtime.
- We're all using Airflow wrong and how to fix it - [Jessica Laughlin](https://www.jldlaughlin.com/) of [Bluecore](https://www.bluecore.com/) shares three engineering problems associated with the Airflow design and how to solve them by using the [KubernetesPodOperator](https://github.com/apache/airflow/blob/v1-10-stable/airflow/contrib/operators/kubernetes_pod_operator.py) in two design patterns.
- Getting started with Data Lineage - [Germain Tanguy](https://www.linkedin.com/in/germain-tanguy/) of [Dailymotion](https://www.dailymotion.com/) shares a data lineage prototype integrated to Apache Airflow.
- Collaboration between data engineers, data analysts and data scientists - [Germain Tanguy](https://www.linkedin.com/in/germain-tanguy/) of [Dailymotion](https://www.dailymotion.com/) shares how to efficiently release in production by collaboration with Apache Airflow.
- Airflow: Lesser Known Tips, Tricks, and Best Practises - [Kaxil Naik](https://www.linkedin.com/in/kaxil/) has explained the lesser-known yet very useful tips and best practises on using Airflow.
- Testing in Airflow Part 1 - [Chandu Kavar](https://twitter.com/chandukavar) has explained different categories of tests in Airflow. It includes DAG Validation Tests, DAG Definition Tests, and unit tests.
- Improving Airflow UI Security - WePay's [Joy Gao](https://twitter.com/joygao) breaks down the need for Role Based Access Controls (RBAC) and how she introduced it to Airflow.
- How to Create a Workflow in Apache Airflow to Track Disease Outbreaks in India - [Vinayak Mehta](https://twitter.com/vortex_ape) details how [SocialCops](https://socialcops.com/) uses Airflow to scrape India's Ministry of Health and Family Affairs to generate derived data on possible disease outbreaks.
- Lessons learnt while Airflow-ing - part-2-lessons-learned-793fa3c0841e) - [Nehil Jain](https://twitter.com/nehiljain) has written a two-part series that covers the value of workflow schedulers, some best practices and pitfalls he found while working with Airflow. The [second article](https://medium.com/snaptravel/airflow-part-2-lessons-learned-793fa3c0841e) in particular includes many production tips.
- Why Robinhood uses Airflow - [Vineet Goel](https://twitter.com/vineetik) walks through why financial trading platform [Robinhood](https://robinhood.com/) picked Airflow over alternative work schedulers.
- What we learned migrating off Cron to Airflow - [Katie Macias](https://medium.com/@katiemacias) describes [VideoAmp](https://www.videoamp.com/)'s Data Engineering's journey from cron to Airflow.
- Under the Hood: Building AIR at Qubole - [Sreenath Kamath](https://www.linkedin.com/in/sreenath-kamath-66a1b970/) and [Rajat Venkatesh](https://twitter.com/vrajat) write about building [Qubole](https://www.qubole.com/)'s [data discovery, insights and recommendations platform](https://www.qubole.com/blog/building-qdsair-infrastructure/) atop Airflow.
- Airflow: Why is nothing working? - TL;DR Airflow’s SubDagOperator causes deadlocks - Deep dive into troubleshooting a troublesome Airflow DAG with good tips on how to diagnosis problems.
- Apache Airflow as an External scheduler for distributed systems - [Arunkumar](https://medium.com/@rako) suggests using Airflow as a simple external scheduler for a distributed system.
- How Sift Trains Thousands of Models using Apache Airflow - Summary of [Sift Science](https://siftscience.com/)'s deployment strategy for its machine learning model pipelines.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Airflow Lessons from the Data Engineering Front in Chicago - [Alison Stanton](https://twitter.com/alison985) provides a list of tips to avoid gotchas in Airflow jobs.
- Data quality checkers - [Antoine Augusti](https://twitter.com/AntoineAugusti) describes the framework [drivy](https://www.drivy.co.uk/) has built atop Airflow to test their datasets for completeness, consistency, timeliness, uniquess, validity and accuracy.
- Building WePay's data warehouse using BigQuery and Airflow - The inestimable [Chris Riccomini](https://twitter.com/criccomini) describes how [WePay](https://go.wepay.com/), one of the first adopters of Airflow, integrated into their [Google Cloud Compute](https://cloud.google.com/compute/) environment.
- Using Apache Airflow to Create Data Infrastructure in the Public Sector - Despite an unfortunately very heavy sales pitch tone, this article blog post describes how [ARGO Labs](http://www.argolabs.org/), a non-profit data organization, utilizes Airflow for ETLing in public sector data.
- How to aggregate data for BigQuery using Apache Airflow - Example of how to use Airflow with Google BigQuery to power a Data Studio dashboard.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Deploying Apache Airflow in Azure to build and run data pipelines - It talks about running Airflow on Azure.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Automating data export from CrateDB to S3 with Apache Airflow
- Implementation of Data Retention Policy with CrateDB and Apache Airflow
- Ingesting NYC Taxi Data From S3 Into CrateDB - Describes how to build a database ingestion pipeline in Airflow by loading CSV files from S3 into [CrateDB](https://crate.io/).
- Airflow Lessons from the Data Engineering Front in Chicago - [Alison Stanton](https://twitter.com/alison985) provides a list of tips to avoid gotchas in Airflow jobs.
- Data’s Inferno: 7 Circles of Data Testing Hell with Airflow - The Wholesale Banking Advanced Analytics team at ING details how they torture test their Airflow DAGs before deployment.
- Data quality checkers - [Antoine Augusti](https://twitter.com/AntoineAugusti) describes the framework [drivy](https://www.drivy.co.uk/) has built atop Airflow to test their datasets for completeness, consistency, timeliness, uniquess, validity and accuracy.
- Building WePay's data warehouse using BigQuery and Airflow - The inestimable [Chris Riccomini](https://twitter.com/criccomini) describes how [WePay](https://go.wepay.com/), one of the first adopters of Airflow, integrated into their [Google Cloud Compute](https://cloud.google.com/compute/) environment.
- How to aggregate data for BigQuery using Apache Airflow - Example of how to use Airflow with Google BigQuery to power a Data Studio dashboard.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Deploying Apache Airflow in Azure to build and run data pipelines - It talks about running Airflow on Azure.
- The Zen of Python and Apache Airflow - Blog post about how the Zen of Python can be applied to Airflow code.
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Upgrading Airflow with Zero Downtime - A detailed article on how to deploy Airflow with zero downtime.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Breaking up the Airflow DAG monorepo - This post describes how to support managing Airflow DAGs from multiple git repos through S3.
- Improving Performance of Apache Airflow Scheduler - A story of an adventure that allowed [Databand](https://databand.ai/) to speed up DAG parsing time 10 times
- How SSENSE is using Apache Airflow to do Data Lineage on AWS - Exploring the fundamental themes of architecting and governing a data lake on AWS using Apache Arflow.
- Complex tasks orchestration at Hurb with Apache Airflow - This post shows how [Hurb](https://hurb.com) uses Apache Airflow to orchestrate complex tasks and how it leverages DAG dynamic creation to improve development speed.
- Automating data export from CrateDB to S3 with Apache Airflow
- Airflow Dag Python Package Management - Managing python package dependencies across 100+ dags can become painful. It's hard to keep track of which packages are used by which dag, and hard to clean up during DAG removal/upgrade. Learn how KubernetesPodOperator and DockerOperator can fix this.
- Airflow Dag Management & Versioning - Efficently manage DAGs release process by using Git Submodules
- boundary-layer:Declarative Airflow Workflows - [Kevin McHale](https://www.linkedin.com/in/mchalek) has explained open source project boundary-layer which generates airflow dag with declarative workflows.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Data Testing with Airflow repository
- ETL with airflow - ETL core principles and several end-to-end docker-based examples including Kimball, Data Vault on Hive and some simpler examples.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Bare minimal Airflow on Kubernetes (Local, EKS, AKS) - An article on deploying Airflow on local Kubernetes, AWS EKS and Azure AKS with bare minimal setup.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Using Apache Airflow’s Docker Operator with Amazon’s Container Repository - [Brian Campbell](https://www.linkedin.com/in/bvcampbell3) of [Lucid](https://www.lucidchart.com/) has tips for integrating AWS's [ECR](https://aws.amazon.com/ecr/) service with Airflow's DockerOperator.
- Airflow, Meta Data Engineering, and a Data Platform for the World’s Largest Democracy - [Vinayak Mehta](https://twitter.com/vortex_ape) talks about identifying data engineering patterns (meta data engineering) to automate DAG generation and how that helped [SocialCops](https://socialcops.com/) to power DISHA, a national data platform where Indian MPs and MLAs monitor the progress of 42 national level schemes.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Data’s Inferno: 7 Circles of Data Testing Hell with Airflow - The Wholesale Banking Advanced Analytics team at ING details how they torture test their Airflow DAGs before deployment.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Monitoring Airflow with Prometheus, StatsD and Grafana - A guide on how to setup operational dashboards to production cluster by [Databand](http://databand.ai) and get high level visibility on Airflow.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Airflow Dag Management & Versioning - Efficently manage DAGs release process by using Git Submodules
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Under the Hood: Building AIR at Qubole - [Sreenath Kamath](https://www.linkedin.com/in/sreenath-kamath-66a1b970/) and [Rajat Venkatesh](https://twitter.com/vrajat) write about building [Qubole](https://www.qubole.com/)'s [data discovery, insights and recommendations platform](https://www.qubole.com/blog/building-qdsair-infrastructure/) atop Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Productionizing ML with workflows at Twitter - In depth post on why and how Twitter use Airflow for ML workflows including including custom operators and a custom UI embedded in in the Airflow web interface.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- How to Best Use DuckDB with Apache Airflow - Tips on integrating [DuckDB](https://duckdb.org/) into Airflow jobs.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
- Apache Airflow at Pandora - [Ace Haidrey](https://www.linkedin.com/in/acehaidrey/) discusses why Pandora chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Running Apache Airflow At Lyft - This provides an overview on how Lyft operates Apache Airflow in production(monitoring, customization, etc).
- Securing Apache Airflow UI WITH DAG Level Access - Blog post about Airflow DAG level access and how Lyft uses it.
- Building a Production-Level ETL Pipeline Platform Using Apache Airflow - This post describes how the system management team at Cerner uses Airflow.
-
Introductions and tutorials
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Apache Airflow Monitoring Metrics - A two-part series by [maxcotec](https://maxcotec.com) on how you can utilize existing Airflow statsd metrics to monitor your airflow deployment on Grafana dashboard via Prometheus. Also learn how to create custom metrics.
- Introduction to Airflow - A web tutorial series by [maxcotec](https://maxcotec.com) for beginners and intermediate users of Apache Airflow.
- Start Building Better Data Pipelines With apache Airflow - Oct - Naman Gupta covers the basics of Airflow and its concepts.
- Remote spark-submit to YARN running on EMR - [Azhaguselvan](https://github.com/tamizhgeek) walks through submitting Spark jobs to existing EMR clusters with Airflow.
- Dustin Stansbury - part series that covers what workflow managers do in general, how Quizlet picked Airflow, a tour of Airflow's key concepts, and how Quizlet is now using Airflow in practice:
- Beyond CRON: an introduction to Workflow Management Systems
- Why Quizlet chose Apache Airflow for executing data workflows
- How Quizlet uses Apache Airflow in practice
- Integrating Apache Airflow with Databricks - While this tutorial is focused specifically on Databricks' Spark solutions, it does have a reasonable overview of Airflow basics and demonstrates how a third party solution can quickly integrate into Airflow.
- Apache Airflow 2.0 Tutorial - This article discusses the basic concepts that stand behind Airflow and discusses the problems it solves.
- Testing and debugging Apache Airflow - Article explaining how to apply unit testing, mocking and debugging to Airflow code.
- Get started developing workflows with Apache Airflow - This brief introductory tutorial covers how to create data pipeline and processing workflow using DAG, operators, Sensor, using Xcoms to communicate between operators.
- Get started with Airflow + Google Cloud Platform + Docker - Step-by-step introduction by [Jayce Jiang](https://medium.com/@junjiejiang94).
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Introduction to Airflow - A web tutorial series by [maxcotec](https://maxcotec.com) for beginners and intermediate users of Apache Airflow.
- ETL with Apache Airflow for Data Analysis on Transaction Data - thagana-4920b5181/) covers a practical case of doing an ETL process using Apache Airflow using a dummy ecommerce store's transactional, user and product data. The data is served via a flask API.
- Airflow Repository Template - A boilerplate repository for developing locally with Airflow, with linting & tests for valid DAGs and plugins. Just clone and run `make start-airflow` to get started! Add some CI jobs to deploy your code and you're done.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- Understanding Apache Airflow’s key concepts
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- Running Airflow on top of Apache Mesos - up, [Mesos, Airflow & Docker](http://agrajmangal.in/blog/big-data/mesos-airflow-docker/) by [Agraj Mangal](https://twitter.com/agrajm) is a quick overview of running Airflow atop Apache Mesos.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Apache Airflow Monitoring Metrics - A two-part series by [maxcotec](https://maxcotec.com) on how you can utilize existing Airflow statsd metrics to monitor your airflow deployment on Grafana dashboard via Prometheus. Also learn how to create custom metrics.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- Testing and debugging Apache Airflow - Article explaining how to apply unit testing, mocking and debugging to Airflow code.
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Why Quizlet chose Apache Airflow for executing data workflows
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Introduction to Airflow - A web tutorial series by [maxcotec](https://maxcotec.com) for beginners and intermediate users of Apache Airflow.
- How to develop data pipeline in Airflow through TDD (test-driven development) - Learn how to build a sales data pipeline using TDD step-by-step and in the end how to configure a simple CI workflow using Github Actions.
- Apache Airflow Monitoring Metrics - A two-part series by [maxcotec](https://maxcotec.com) on how you can utilize existing Airflow statsd metrics to monitor your airflow deployment on Grafana dashboard via Prometheus. Also learn how to create custom metrics.
-
Vital links
-
Airflow deployment solutions
- airflow-pipeline - Airflow Docker container that comes preconfigured for Spark and Hadoop. It can be docker pulled at ``datagovsg/airflow-pipeline``.
- Three ways to run Airflow on Kubernetes - [Tim van de Keer](https://www.linkedin.com/in/tim-van-de-keer-bb5a1966) walks through several methods for deploying Airflow on Kubernetes.
- Apache Airflow Multi-Tier Free Deployment on Azure - A free Azure Resource Manager (ARM) template by Bitnami providing a one-click solution for Airflow deployment on Azure for production use-cases.
- Stable Celery Helm Chart - Curated Helm Chart in the official stable chart repository.
- Integrating Apache Airflow with Apache Ambari - [Mykola Mykhalov](https://www.linkedin.com/in/mykola-mykhalov-9079a8107/) walks through using [Apache Ambari](https://ambari.apache.org/) to configure and deploy an Airflow instance.
- Bitnami Airflow Docker image - A secure and up-to-date docker image for Airflow maintained by Bitnami.
- Bitnami Airflow Scheduler Docker image - A secure and up-to-date docker image for Airflow Scheduler maintained by Bitnami.
- Bitnami Airflow Worker Docker image - A secure and up-to-date docker image for Airflow Worker maintained by Bitnami. A CeleryExecutor docker-compose deployment is available [here](https://github.com/bitnami/bitnami-docker-airflow-worker/blob/master/docker-compose.yml).
- Introducing KEDA for Airflow - How to use KEDA scaler system to enable autoscaling of celery workers based on data stored in the Airflow metadata database.
- Installing Airflow on IBM Cloud - Quick and easy deployment on IBM Cloud with IBM [Bitnami Charts](https://github.com/bitnami/charts)
- KubernetesExecutor Helm Chart - A lean Helm Chart using the KubernetesExecutor for a more k8s native experience and complementary [KubernetesExecutor Docker Image](https://github.com/tekn0ir/airflow-docker).
- Puckel's Docker Image - [@Puckel_](https://twitter.com/Puckel_)'s well-crafted Docker image has become the base for many Airflow installations. It is regularly updated and closely tracks the official Apache releases.
- Kubernetes Custom Operator for Deploying Airflow - Kubernetes Custom controller (also called operator pattern) for deploying Airflow on Kubernetes.
- aws-airflow-stack - An AWS based Airflow cluster deployment with CeleryExecutor. Deploys after a few clicks with CloudFormation.
- kube-airflow - This repository contains both an Airflow Docker image (that appears to have been based on Puckel's work) and Kubernetes service definition. [mumoshu](https://github.com/mumoshu)'s repository has not been recently updated, but there are numerous forks that may be based on more recent releases.
- airflow-on-kubernetes - A guide on all relevant resources, scripts and projects that relate to running Airflow on Kubernetes.
- airflow-k8s-executor-on-GKE - A detailed tutorial to get a scalable, low maintenance airflow kubernetes executor environment deployed on [Google Kubernetes Engine](https://cloud.google.com/kubernetes-engine/) with [helm](https://helm.sh/).
- airflow-cookbook - Chef cookbook for deploying Airflow.
- Astronomer Platform - Apache Airflow as a Service on Kubernetes. For more information visit https://www.astronomer.io.
- Distribute & deploy Apache Airflow via Python PEX files - Example repo with steps to bundle, distribute, & deploy Apache Airflow as PEX files.
- Airflow-Component - Lightweight installer of federated Airflow-Airflow (RabbitMQ) reference architectrure on Compute node(s).
- Three ways to run Airflow on Kubernetes - [Tim van de Keer](https://www.linkedin.com/in/tim-van-de-keer-bb5a1966) walks through several methods for deploying Airflow on Kubernetes.
-
Airflow Summit 2020 videos
- Scheduler as a service - Apache Airflow at EA Digital Platform
- Keynote: How large companies use Airflow for ML and ETL pipelines
- Data flow with Airflow @ PayPal - w)
- Democratised data workflows at scale - YtHYT9M)
- Migrating Airflow-based Spark jobs to Kubernetes - the native way
- Keynote: Future of Airflow
- Run Airflow DAGs in a secure way
- Keynote: Making Airflow a sustainable project through D&I
- Airflow CI/CD: Github to Cloud Composer (safely)
- Advanced Apache Superset for Data Engineers
- Demo: Reducing the lines, a visual DAG editor
- AIP-31: Airflow functional DAG definition
- Autonomous driving with Airflow
- From cron to Airflow on Kubernetes: A startup story
- What open source taught us about business
- Data engineering hierarchy of needs
- Building reuseable and trustworthy ELT pipelines (A templated approach)
- Testing Airflow workflows - ensuring your DAGs work before going into production
- Data flow with Airflow @ PayPal - w)
- Keynote: How large companies use Airflow for ML and ETL pipelines
- Airflow on Kubernetes: Containerizing your workflows
- Migrating Airflow-based Spark jobs to Kubernetes - the native way
- Democratised data workflows at scale - YtHYT9M)
- Data DAGs with lineage for fun and for profit
- Run Airflow DAGs in a secure way
- Keynote: Future of Airflow
- Advanced Apache Superset for Data Engineers
- AIP-31: Airflow functional DAG definition
- Autonomous driving with Airflow
- From cron to Airflow on Kubernetes: A startup story
- Achieving Airflow Observability
- Airflow Summit 2020
- Warsaw
- Amsterdam
- BayArea
- Airflow Summit 2020 Playlist
- Keynote: Airflow then and now
- Scheduler as a service - Apache Airflow at EA Digital Platform
- Machine Learning with Apache Airflow
- Airflow: A beast character in the gaming world
- Effective Cross-DAG dependency
- What open source taught us about business
- Testing Airflow workflows - ensuring your DAGs work before going into production
- Adding an executor to Airflow: A contributor overflow exception
- Migration to Airflow backport providers
- From Zero to Airflow: bootstrapping a ML platform
- Airflow the perfect match in our analytics pipeline
- Airflow at Société Générale : An open source orchestration solution in a banking environment
- Airflow as the next gen of workflow system at Pinterest
- Improving Airflow's user experience
- Teaching an old DAG new tricks - bMM3c)
- Ask me anything with Airflow members
- Using Airflow to speed up development of data intensive tools
- Pipelines on pipelines: Agile CI/CD workflows for Airflow DAGs
- Production Docker image for Apache Airflow
- Airflow as an elastic ETL tool - JFCsp3I)
- How do we reason about the reliability of our data pipeline in Wrike
- Achieving Airflow observability with Databand
- From S3 to BigQuery - How a first-time Airflow user successfully implemented a data pipeline
- Airflow Summit 2020 Playlist
- Keynote: Airflow then and now
- Scheduler as a service - Apache Airflow at EA Digital Platform
- Keynote: How large companies use Airflow for ML and ETL pipelines
- Data DAGs with lineage for fun and for profit
- Airflow on Kubernetes: Containerizing your workflows
- Data flow with Airflow @ PayPal - w)
- Democratised data workflows at scale - YtHYT9M)
- Migrating Airflow-based Spark jobs to Kubernetes - the native way
- Keynote: Future of Airflow
- Run Airflow DAGs in a secure way
- Keynote: Making Airflow a sustainable project through D&I
- Airflow CI/CD: Github to Cloud Composer (safely)
- Advanced Apache Superset for Data Engineers
- Demo: Reducing the lines, a visual DAG editor
- AIP-31: Airflow functional DAG definition
- Autonomous driving with Airflow
- From cron to Airflow on Kubernetes: A startup story
- Achieving Airflow Observability
- Machine Learning with Apache Airflow
- Airflow: A beast character in the gaming world
- Effective Cross-DAG dependency
- What open source taught us about business
- Data engineering hierarchy of needs
- Building reuseable and trustworthy ELT pipelines (A templated approach)
- Testing Airflow workflows - ensuring your DAGs work before going into production
- Adding an executor to Airflow: A contributor overflow exception
- Migration to Airflow backport providers
- From Zero to Airflow: bootstrapping a ML platform
- Airflow the perfect match in our analytics pipeline
- Airflow at Société Générale : An open source orchestration solution in a banking environment
- Airflow as the next gen of workflow system at Pinterest
- Improving Airflow's user experience
- Teaching an old DAG new tricks - bMM3c)
- Ask me anything with Airflow members
- Using Airflow to speed up development of data intensive tools
- Pipelines on pipelines: Agile CI/CD workflows for Airflow DAGs
- Production Docker image for Apache Airflow
- Airflow as an elastic ETL tool - JFCsp3I)
- How do we reason about the reliability of our data pipeline in Wrike
- Achieving Airflow observability with Databand
- From S3 to BigQuery - How a first-time Airflow user successfully implemented a data pipeline
- Keynote: Airflow then and now
- Scheduler as a service - Apache Airflow at EA Digital Platform
- Keynote: How large companies use Airflow for ML and ETL pipelines
- Data DAGs with lineage for fun and for profit
- Airflow on Kubernetes: Containerizing your workflows
- Data flow with Airflow @ PayPal - w)
- Democratised data workflows at scale - YtHYT9M)
- Migrating Airflow-based Spark jobs to Kubernetes - the native way
- Keynote: Future of Airflow
- Achieving Airflow Observability
- Run Airflow DAGs in a secure way
- Keynote: Making Airflow a sustainable project through D&I
- Airflow CI/CD: Github to Cloud Composer (safely)
- Advanced Apache Superset for Data Engineers
- Demo: Reducing the lines, a visual DAG editor
- AIP-31: Airflow functional DAG definition
- Autonomous driving with Airflow
- From cron to Airflow on Kubernetes: A startup story
- Machine Learning with Apache Airflow
- Airflow: A beast character in the gaming world
- Effective Cross-DAG dependency
- What open source taught us about business
- Data engineering hierarchy of needs
- Building reuseable and trustworthy ELT pipelines (A templated approach)
- Testing Airflow workflows - ensuring your DAGs work before going into production
- Adding an executor to Airflow: A contributor overflow exception
- Migration to Airflow backport providers
- From Zero to Airflow: bootstrapping a ML platform
- Airflow the perfect match in our analytics pipeline
- Airflow at Société Générale : An open source orchestration solution in a banking environment
- Airflow as the next gen of workflow system at Pinterest
- Improving Airflow's user experience
- Teaching an old DAG new tricks - bMM3c)
- Ask me anything with Airflow members
- Using Airflow to speed up development of data intensive tools
- Pipelines on pipelines: Agile CI/CD workflows for Airflow DAGs
- Production Docker image for Apache Airflow
- Airflow as an elastic ETL tool - JFCsp3I)
- How do we reason about the reliability of our data pipeline in Wrike
- Achieving Airflow observability with Databand
- From S3 to BigQuery - How a first-time Airflow user successfully implemented a data pipeline
- Airflow Summit 2020 Playlist
-
Books, blogs, podcasts, and such
- Data Pipelines with Apache Airflow - A Manning book (Early Access September 2019) on Airflow.
- The Airflow Podcast - A semiregular podcast discussing all things Airflow.
- Maxime Beauchemin - Maxime's blog on medium that gives insight into the philosophy behind Apache Airflow.
- Robert Chang - Blog posts about data engineering with Apache Airflow, explains why and has examples in code.
- Handling Airflow logs with Kubernetes Executor - A blogpost that outlines how you can set up remote S3 logging when using KubernetesExecutor, without creating complex infrastructure.
- Airflow 2.0: DAG Authoring Redesigned - Blog post about new ways of writing DAGs in Airflow 2.0.
- Airflow 2.0 Providers - Blog post about providers packages in Airflow 2.0.
-
Slide deck presentations and online videos
- Apache Airflow YouTube tutorials - [Marc Lamberti](https://twitter.com/marclambertiml) has created a series of YouTube tutorials covering many aspects of Airflow concepts, configuration and deployment.
- Modern Data Pipelines with Apache Airflow - A talk given by [Taylor Edmiston](https://twitter.com/kicksopenminds) and [Andy Cooper](https://twitter.com/andscoop) from Astronomer.io at Momentum Dev Con 2018 on getting started with Airflow, custom components, example DAGs, and the Astronomer Airflow CLI.
- Building Better Data Pipelines using Apache Airflow - Slides from [Sid Anand](https://twitter.com/r39132)'s talk at QCon 18 with a thorough overview of Airflow and its architecture.
- Airflow and Spark Streaming at Astronomer - How Astronomer uses dynamic DAGs to run Spark Streaming jobs with Airflow.
- Airflow Breeze - Development and Test Environment for Apache Airflow - oF68) - Screencast showing how to use Breeze environment by [Jarek Potiuk](https://github.com/potiuk).
- Apache Airflow YouTube tutorials - [Marc Lamberti](https://twitter.com/marclambertiml) has created a series of YouTube tutorials covering many aspects of Airflow concepts, configuration and deployment.
- Developing elegant workflows in Python code with Apache Airflow - [Michał Karzyński](https://twitter.com/postrational) at [Europython](https://ep2018.europython.eu/) gives a brief introduction to Airflow concepts including the role of workflow managers, DAGs and operators. Link includes both video and slides.
- How I learned to time travel, or, data pipelining and scheduling with Airflow - Comprehensive deck by [Laura Lorenz](https://twitter.com/lalorenz6) for why Airflow is necessary and how [Industry Dive](https://www.industrydive.com/) uses it.
- Introduction to Apache Airflow - Data Day Seattle 2016 - [Sid Anand](https://twitter.com/r39132) gives a thorough introduction to Airflow and how it was used at [Agari](https://www.agari.com/).
- Apache Airflow at WePay - [Chris Riccomini](https://twitter.com/criccomini) discusses why WePay chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Elegant data pipelining with Apache Airflow - Talks from [Bolke de Bruin](https://twitter.com/bolke2028) and [Fokko Driesprong](https://twitter.com/fokkodriesprong) at PyData Amsterdam 2018 about methodologies that provide clarity in ETL using Airflow.
- Airflow @ Lyft - Talks from [Tao Feng](https://github.com/feng-tao) at SF big data analytics meetup about how Lyft monitors running Airflow in production.
- Manageable data pipelines with Airflow and Kubernetes - Talk by [Jarek Potiuk](https://github.com/potiuk) and [Szymon Przedwojski](https://github.com/sprzedwojski). A introductory talk on Airflow from GDG Warsaw DevFest 2018.
- First Warsaw Apache Airflow Meetup - Live streamed recording from the first Apache Airflow Meetup in Warsaw in October 2019.
- What's coming in Apache Airflow 2.0 - joint talk by [Ash Berlin-Taylor](https://github.com/ashb), [Kaxil Naik](https://github.com/kaxil), [Jarek Potiuk](https://github.com/potiuk), [Kamil Breguła](https://github.com/mik-laj), [Daniel Imbermann](https://github.com/dimberman), and [Tomek Urbaszek](https://github.com/turbaszek) at the [Online NYC Meetup, 13th of May 2020](https://www.meetup.com/NYC-Apache-Airflow-Meetup/events/270483933/)
- Apache Airflow in the Cloud: Programmatically orchestrating workloads with Python - Slides from [Kaxil Naik](https://twitter.com/kaxil)'s & [Satyasheel](https://twitter.com/ss6012) talk at PyData London 18 introducing the basics of Airflow and how to orchestrate workloads on Google Cloud Platform (GCP).
- Developing elegant workflows in Python code with Apache Airflow - [Michał Karzyński](https://twitter.com/postrational) at [Europython](https://ep2018.europython.eu/) gives a brief introduction to Airflow concepts including the role of workflow managers, DAGs and operators. Link includes both video and slides.
- How I learned to time travel, or, data pipelining and scheduling with Airflow - Comprehensive deck by [Laura Lorenz](https://twitter.com/lalorenz6) for why Airflow is necessary and how [Industry Dive](https://www.industrydive.com/) uses it.
- Introduction to Apache Airflow - Data Day Seattle 2016 - [Sid Anand](https://twitter.com/r39132) gives a thorough introduction to Airflow and how it was used at [Agari](https://www.agari.com/).
- Operating Data Pipeline With Airflow - Airflow Meetup April-2018 - [Ananth Packkildurai](https://twitter.com/ananthdurai) talks about scaling airflow Local Executor and best practices to operate data pipeline at [Slack](https://slack.com/).
- Apache Airflow at WePay - [Chris Riccomini](https://twitter.com/criccomini) discusses why WePay chose Airflow and provides a detailed breakdown of their deployment and the infrastructure behind it.
- Apache Airflow @ Umuzi.org - [Sheena O'Connell](https://twitter.com/sheena_oconnell) discusses how South Africa-based tech bootcamp [Umuzi](https://www.umuzi.org/) uses Airflow.
- Apache Airflow YouTube tutorials - [Marc Lamberti](https://twitter.com/marclambertiml) has created a series of YouTube tutorials covering many aspects of Airflow concepts, configuration and deployment.
- Data Pipeline Management - [Ben Goldberg](https://www.linkedin.com/in/benjamin-goldberg-50247169/) walks the Chicago Kubernetes Meetup through how [SpotHero](https://spothero.com/) uses Airflow. Additionally, Ben has a very [complete slidedeck](https://docs.google.com/presentation/d/1hc12cFs5TmEajLwYNASLwz_C17Q5tyd__6oXzI16A9A/edit#slide=id.g320d39a12c_0_1017) of how Airflow plays within Kubernetes.
- Manageable data pipelines with Airflow and Kubernetes - Talk by [Jarek Potiuk](https://github.com/potiuk) and [Szymon Przedwojski](https://github.com/sprzedwojski). A introductory talk on Airflow from GDG Warsaw DevFest 2018.
- Migrating Apache Oozie Workflows to Apache Airflow - 6t_6Ao) - Talk from [Szymon Przedwojski](https://github.com/sprzedwojski) from Airflow Bay Area Meetup June 2018 about Oozie-to-Airflow migration tool.
- Building data lakes with Apache Airflow - Talk by [Bas Harenslak](https://github.com/BasPH) and [Julian de Ruiter](https://github.com/jrderuiter) at the Amsterdam Apache Airflow September 2018 meetup about building data lakes with Apache Airflow as the spider in the web managing all data flows.
- First Warsaw Apache Airflow Meetup - Live streamed recording from the first Apache Airflow Meetup in Warsaw in October 2019.
- What's coming in Apache Airflow 2.0 - joint talk by [Ash Berlin-Taylor](https://github.com/ashb), [Kaxil Naik](https://github.com/kaxil), [Jarek Potiuk](https://github.com/potiuk), [Kamil Breguła](https://github.com/mik-laj), [Daniel Imbermann](https://github.com/dimberman), and [Tomek Urbaszek](https://github.com/turbaszek) at the [Online NYC Meetup, 13th of May 2020](https://www.meetup.com/NYC-Apache-Airflow-Meetup/events/270483933/)
- Airflow Breeze - Development and Test Environment for Apache Airflow - oF68) - Screencast showing how to use Breeze environment by [Jarek Potiuk](https://github.com/potiuk).
- Manageable data pipelines with Airflow and Kubernetes - Talk by [Jarek Potiuk](https://github.com/potiuk) and [Szymon Przedwojski](https://github.com/sprzedwojski). A introductory talk on Airflow from GDG Warsaw DevFest 2018.
- First Warsaw Apache Airflow Meetup - Live streamed recording from the first Apache Airflow Meetup in Warsaw in October 2019.
- What's coming in Apache Airflow 2.0 - joint talk by [Ash Berlin-Taylor](https://github.com/ashb), [Kaxil Naik](https://github.com/kaxil), [Jarek Potiuk](https://github.com/potiuk), [Kamil Breguła](https://github.com/mik-laj), [Daniel Imbermann](https://github.com/dimberman), and [Tomek Urbaszek](https://github.com/turbaszek) at the [Online NYC Meetup, 13th of May 2020](https://www.meetup.com/NYC-Apache-Airflow-Meetup/events/270483933/)
- Airflow Breeze - Development and Test Environment for Apache Airflow - oF68) - Screencast showing how to use Breeze environment by [Jarek Potiuk](https://github.com/potiuk).
- Apache Airflow YouTube tutorials - [Marc Lamberti](https://twitter.com/marclambertiml) has created a series of YouTube tutorials covering many aspects of Airflow concepts, configuration and deployment.
- Advanced Data Engineering Patterns with Apache Airflow - Video of [Maxime Beauchemin](https://medium.com/@maximebeauchemin)'s talk that briefly introduces Airflow and then goes into more advanced use cases, including self-servive SQL queries, building A/B testing metrics frameworks and machine learning feature extraction all via Airflow. The slides are available separately [here](https://prezi.com/p/adxlaplcwzho/advanced-data-engineering-patterns-with-apache-airflow/).
-
Libraries, Hooks, Utilities
- Airflow plugins - Central collection of repositories of various plugins for Airflow, including mailchimp, trello, sftp, GitHub, etc.
- Domino - Domino is an open source Graphical User Interface platform for creating data and Machine Learning workflows (DAGs) with no-code, visually intuitive drag-and-drop actions. It is also a standard for publishing and sharing your Python code so it can be automatically used by anyone, directly in the GUI.
- Airflow-Helper - setting up Airflow Variables, Connections, and Pools from a YAML configuration file.
- AirFly - Auto generate Airflow's dag.py on the fly.
- DEAfrica Airflow - Airflow libraries used by [Digital Earth Africa](https://digitalearthafrica.org/), an humanitarian effort to utilize satellite imagery of Africa.
- fileflow - Collection of modules to support large data transfers between Airflow operators through either local file system or S3. This addresses a gap where data is too large for XCOMs but too small or inconvenient for loading directly in the operator. Built by [Industry Dive](https://www.industrydive.com/).
- fairflow - Library to abstract away Airflow's Operators with functional pieces that transform the data from one operator to another.
- airflow-maintenance-dags - [Clairvoyant](http://clairvoyantsoft.com/) has a repo of Airflow DAGs that operator on Airflow itself, clearing out various bits of the backing metadata store.
- whirl - Fast iterative local development and testing of Apache Airflow workflows.
- airflow-code-editor - A plugin for Apache Airflow that allows you to edit DAGs in browser.
- Pylint-Airflow - A Pylint plugin for static code analysis on Airflow code.
- afctl - A CLI tool that includes everything required to create, manage and deploy airflow projects faster and smoother.
- Dag Dependencies viewer - A plugin which creates a view to visualize dependencies between the Airflow DAGs
- Airflow ECR Plugin - Plugin to refresh AWS ECR login token at regular intervals. This is helpful where DockerOperator needs to pull images hosted on ECR.
- AirflowK8sDebugger - A library for generate k8s pod yaml templates from an Airflow dag using the KubernetesPodOperator.
- Oozie to Airflow - A tool to easily convert between [Apache Oozie](http://oozie.apache.org/) workflows and Apache Airflow workflows.
- Airflow Ditto - An extensible framework to do transformations to an Airflow DAG and convert it into another DAG which is flow-isomorphic with the original DAG, to be able to run it on different environments (e.g. on different clouds, or even different container frameworks - Apache Spark on YARN vs Kubernetes). Comes with out-of-the-box support for EMR-to-HDInsight-DAG transforms.
- gusty - Create a DAG using any number of YAML, Python, Jupyter Notebook, or R Markdown files that represent individual tasks in the DAG. gusty also configures dependencies, DAGs, and TaskGroups, features support for your local operators, and more. A fully containerized demo is available [here](https://github.com/chriscardillo/gusty-demo).
- DAG checks - The dag-checks consist of checks that can help you in maintaining your Apache Airflow instance.
- Airflow DVC plugin - Plugin for open-source version-control system for data science and Machine Learning pipelines - [DVC](https://dvc.org/).
- Airflow Vars - A CLI for variables management, created for CD-Pipelines in order to allow robust and safe variables management.
- test_dags - a more complete solution for DAG integrity tests ([first Circle of Data’s Inferno are the first](https://medium.com/@ingwbaa/datas-inferno-7-circles-of-data-testing-hell-with-airflow-cef4adff58d8).
- airflow-priority - Priority Tags (P1, P2, etc) for Airflow DAGs with automated alerting to Datadog, New Relic, Slack, Discord, and more
- airflow-config - [Pydantic](https://pydantic.dev) / [Hydra](https://hydra.cc) based configuration system for DAG and Task arguments
- airflow-supervisor - Easy-to-use [supervisor](http://supervisord.org) integration for long running or "always on" DAGs
-
Meetups
-
Commercial Airflow-as-a-service providers
- Qubole - Qubole is mainly known as a service-and-support company for Apache Hive, but also provides Airflow as a component of its platform.
- Astronomer.io - Astronomer provides complete ETL lifecycle solutions and appears to be entirely focused on providing Airflow-based products.
- AWS MWAA - Amazon Managed Workflows for Apache Airflow (MWAA) is a managed orchestration service for Apache Airflow that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale.
-
Cloud Composer resources
- Cloud Composer
- Enabling Autoscaling in Google Cloud Composer - Supercharge your Cloud Composer deployment while saving up some cost during idle periods.
- Scale your Composer environment together with your business - The Celery Executor architecture and ways to ensure high scheduler performance.
- The Smarter Way of Scaling With Composer’s Airflow Scheduler on GKE - [Roy Berkowitz](https://www.linkedin.com/in/roy-berkowitz-19922aa9/) discusses more effective use of nodes in the Cloud Composer service.
- Better together: orchestrating your Data Fusion pipelines with Cloud Composer - [Rachael Deacon-Smith](https://www.linkedin.com/in/rachael-deacon-smith-82660172) provides an overview of the operator for Datafusion use case on Cloud Composer.
- Better together: orchestrating your Data Fusion pipelines with Cloud Composer - [Rachael Deacon-Smith](https://www.linkedin.com/in/rachael-deacon-smith-82660172) provides an overview of the operator for Datafusion use case on Cloud Composer.
- pianka.sh - Missing command in the gcloud tool. This tool facilitates some administrative tasks.
-
Non-English resources
- Airflow Documentation-Chinese - (🇨🇳Chinese) [Apachecn](https://github.com/apachecn) has translated the Airflow official documentation.
- Gestion de Tâches avec Apache Airflow - (🇫🇷French) [Nicolas Crocfer](https://github.com/ncrocfer) - Overview of Airflow, basic concepts and how to write and trigger a DAG.
- Apache Airflow – Kaikki Mitä Meillä On, Lähtee Dageista - (🇫🇮Finnish) [Olli Iivonen](https://www.linkedin.com/in/oiivonen/)'s overview of Airflow, concepts and Airflow's usage at [Solita](https://www.solita.fi/).
- Airflow Documentation-Chinese - (🇨🇳Chinese) [Apachecn](https://github.com/apachecn) has translated the Airflow official documentation.
- Gestion de Tâches avec Apache Airflow - (🇫🇷French) [Nicolas Crocfer](https://github.com/ncrocfer) - Overview of Airflow, basic concepts and how to write and trigger a DAG.
- apache airflow 複数worker構成のalpine版docker imageを作った - (🇯🇵Japanese) [Akio Ohta](https://github.com/Drunkar) walks through his [Docker image](https://hub.docker.com/r/drunkar/airflow-alpine/) for deploying an Alpine-based Airflow system.
- Airflow - (🇻🇳Vietnamese) [Duyet Le](https://github.com/duyet) - Overview of Airflow, concept, basic use with use case.
- Michael Yang's Airflow Chinese Blog Posts - Michael Yang's Chinese blog posts about data engineering with Apache Airflow, conclude basic tutorials and devops skills.
- Panduan Dasar Apache Airflow - (🇮🇩Indonesian) [Imam Digmi](https://github.com/imamdigmi) - Overview of Airflow, concept, basic use with use case.
- Airflow - (🇻🇳Vietnamese) [Duyet Le](https://github.com/duyet) - Overview of Airflow, concept, basic use with use case.
- Airflowはすごいぞ！100行未満で本格的なデータパイプライン - (🇯🇵Japanese) [Hank Ehly](https://github.com/hankehly) gives a comprehensive introduction to Airflow's main concepts, and demonstrates how to create a data pipeline in less than 100 lines of code.
- AirflowのタスクログをS3に保存する方法 - (🇯🇵Japanese) [Hank Ehly](https://github.com/hankehly) shows step-by-step how to configure sending task logs to AWS S3.
- 【徹底解説】Airflow Fluentd Elasticsearch Docker の連携方法 - (🇯🇵Japanese) [Hank Ehly](https://github.com/hankehly) describes how to handle worker task logs with Fluentd, Elasticsearch and Docker.
- Airflow - Automatizando seu fluxo de trabalho - (🇧🇷Portuguese) [Gilson Filho](https://github.com/gilsondev)'s overview of Airflow, concept and basic use.
-
Sample projects
- GitLab Data Team DAGs - Several DAGs used to build analytics for the GitLab platform.
- Google Cloud Platform Public Datasets Pipelines - Cloud-native, data pipeline architecture for onboarding datasets to the Google Cloud Public Datasets Program.
- deploy-airflow-on-ecs-fargate - Deploy to Amazon ECS Fargate. Demonstrates various features and configurations, such as autoscaling workers to zero, S3 remote logging and secret management.
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