Scheduled pipelines
Jobs that move data between systems on a timetable.
AI Development
Apache Airflow development services and the Airflow 2 deadline
We have no published Airflow build. Airflow 2 reached end of life on 22 April 2026, and we show the nearest Python and reporting work and the move to Airflow 3.
0Published builds on Airflow
22 Apr 2026Airflow 2 end of life
3.3.2Current Airflow 3 release
22 Apr 2025Airflow 3 first release
What we build
What we would take on with Airflow
Airflow 2 to Airflow 3
Pipelines moved off a version that no longer gets fixes.
Feeds for dashboards
Data prepared for reports, as on the Power BI builds.
Containerised workers
Docker multi-stage builds, the pattern on TruckFleet.
Architecture
Where Airflow would sit
A scheduler in front of our reporting data
Sources
Azure SQLJobs and results
MQTT telematicsPosition and engine data
Orchestration
Apache AirflowWhere it would sit
Python 3.13Back end language
Reporting
Power BIOperational dashboards
Illustration. A dashed outline marks where the technology would sit. We have no published build on it.
Versions
Airflow 2 is finished
From Airflow 2 to Airflow 3
Ended 22 Apr 2026
Airflow 2
- Limited maintenance began 22 Oct 2025
- End-of-life versions get no fixes or support
Current
Airflow 3
- First released on 22 April 2025
- Version 3.3.2 is current
Source: Apache Airflow documentation, Version life cycle, checked 3 November 2026.
Builds
The closest builds we can show you
Statutory inspection, United Kingdom
Work-at-height anchor and torque platform
Azure SQL data feeding PDF certificates and Power BI dashboards, the reporting half of a pipeline.
70%Faster reporting cycle
Logistics, fleet operations
TruckFleet Labs
MQTT telematics normalised before storage, with Redis, PostgreSQL and a Python 3.13 back end.
68 to 23Calls a day asking where a truck is
Fit check
When Airflow is the right call
Pick Apache Airflow when
- Several jobs depend on each other and must run in order
- You need retries and a view of what failed
- Your team already writes Python
Look elsewhere when
- You need a published Airflow build to inspect, which we do not have
- One nightly script, where a scheduler is enough
- Your pipelines run in a single cloud service that already schedules them
Explore
Same job, other tools
Pairs with
Where we used it
Stack
What Airflow usually sits beside
Python
Docker
Kubernetes
AWS
Azure
PyTorchFAQs
What buyers ask first
Is Airflow 2 still supported?
No. The Airflow project lists Airflow 2 as end of life on 22 April 2026, after limited maintenance from 22 October 2025. End-of-life versions get no fixes or support.
Do you have a published Airflow build?
No. We say so on the first call and show the nearest work, which is Python data builds and Power BI reporting.
Which Airflow version should we use?
Airflow 3, first released on 22 April 2025, with 3.3.2 current. The project advises installing the latest release.
Who owns the code and the cloud accounts?
You do, from the first commit. Repositories and cloud accounts stay in your name.
Tell us what your pipelines have to move
Thirty minutes on your jobs, your schedules and your Airflow version. No sales pitch.