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Apache Airflow

Pipelines that run on time, every time.

Apache Airflow consulting and managed Airflow: deployment on Kubernetes, DAG best practices, CI/CD, monitoring and upgrades, as a self-hosted alternative to MWAA, Cloud Composer or Astronomer.

Apache AirflowKubernetesHelmCelerydbt

Airflow is easy to start and hard to run at scale. Most pain comes from the scheduler, executors and DAG hygiene, not from Airflow itself.

Scheduler falls behindDAGs fail silentlyUpgrades stuck on old versionsMWAA or Composer bill
What we do

Apache Airflow, end to end.

Deployment

Airflow on Kubernetes with the official Helm chart, sized for your DAGs.

Executors & scaling

KubernetesExecutor or Celery, with workers that scale with the queue.

DAG best practices

Idempotent tasks, retries, SLAs and code structure your team can maintain.

CI/CD for DAGs

Tests and deployments on every merge, with no manual copying of files.

Monitoring & alerting

Failures, delays and SLA misses alerted where your team works.

Upgrades

Airflow 2.x and 3.x upgrades planned and tested against your DAGs.

How it works

Three steps, no big-bang cut-over.

01

Review

Current Airflow setup, DAGs and pain points.

02

Build or fix

Deployment, CI/CD and monitoring done properly.

03

Operate

Upgrades and support by your team or by us.

What you get

Deliverables you keep.

  • Airflow deployment as code
  • Executor and scaling setup
  • DAG guidelines and templates
  • CI/CD pipeline for DAGs
  • Alerting and dashboards
  • Upgrade runbooks
Stack

Tools we use here.

Apache AirflowKubernetesHelmCelerydbtPostgres
Ways to engage

Start small, or hand it all over.

fixed scope

Assess

Read-only review, ranked plan in 5 days.

fixed fee

Build & hand over

Built in your account, then handed to your team.

monthly

Fully managed

We run it end to end, with an SLA.

monthly

Support

Senior help for your engineers.

FAQ

Questions about Apache Airflow.

Is self-hosted Airflow worth it vs MWAA or Composer?

For many teams, yes: more control and lower cost at steady usage. We compare both for your workload.

Can you migrate us from MWAA or Composer?

Yes. DAGs, connections and variables move with minimal change.

Do you work with dbt?

Yes. Airflow orchestrating dbt is one of the most common setups we run.

What about Dagster or Prefect?

We can advise on them too; we recommend Airflow when its ecosystem and your team fit.

Expertise

Related expertise

Let's look at your setup.

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