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Apache Airflow Managed Services for Reliable, Well-Orchestrated Pipelines
Geopits manages Apache Airflow environments so your team can focus on building pipelines, not babysitting the scheduler. We handle DAG monitoring, performance tuning, and Airflow 3 migration for teams running production workflow orchestration on Airflow.
Apache Airflow Pipelines, Reliable and Current
Apache Airflow is used to author, schedule, and monitor workflows as directed acyclic graphs, so teams can orchestrate ETL, ELT, and machine learning pipelines as code instead of managing scattered cron jobs. Most organisations get DAGs written and scheduled. Fewer keep the scheduler performant, failures caught early, and the platform current, particularly with Airflow 3’s shift to asset-based scheduling and a new task execution architecture.
Geopits manages the operational layer of Airflow environments, whether self-hosted, on Kubernetes, or on a managed service like MWAA or Cloud Composer. That includes DAG monitoring, scheduler tuning, executor management, and Airflow 3 migration support. Our team works alongside yours so Airflow stays reliable and current to run, long after the initial pipelines are built.
Geopits Approach
Our Apache Airflow capabilities span the full operational lifecycle, from DAG reliability to ongoing performance tuning. Continuous monitoring across every environment we manage runs on GeoOps, our in-house monitoring and incident management platform
DAG Monitoring and Failure Recovery
Scheduler and Executor Tuning
Airflow 2 to Airflow 3 Migration
Airflow on Kubernetes Operations
MWAA and Cloud Composer Support
Backfill and Historical Reprocessing Management
Cost Optimisation Across Deployment Models
CI/CD and DAG Deployment Automation
24x7 Monitoring and Incident Response
How We Work
A clear, 4-step path from assessment to ongoing optimisation, so your Airflow environment stays reliable, performant, and built to scale.
Why Teams Choose Geopits
Proactive support, predictable pricing, and certified expertise, no matter which platform your business runs on.
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Fewer pipeline failures
Task dependencies structured to isolate failures and enable clean retries.
Faster issue response
Task failure notifications routed for immediate attention.
Better resource use
Pool configuration applied to prevent contention across DAGs.
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Transparent progress tracking
Biweekly reports and monthly performance analysis reviewed directly with the client team.
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Predictable, competitive pricing
Pricing structured to stay competitive without cutting corners on support quality.
Certified expertise
Team has hands-on expertise in Apache Airflow and holds relevant certifications, including the Astronomer Certification: Apache Airflow DAG Authoring, to manage client environments with confidence.
Industries We Serve
Database requirements vary significantly by industry. The uptime threshold for a payment processing system is different from an edtech platform. The compliance surface for a healthcare application is different from a retail analytics stack. Our team has delivered managed DBA services across these verticals.
Banking, Financial Services & Insurance
Geopits manages, secures, and modernises the databases that power core banking, payments, claims, and fraud detection systems. Built for institutions where uptime, compliance and data accuracy are non-negotiable.
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EduTech
Geopits manages, secures and modernises the databases behind LMS platforms, student records and learning analytics. Built for edtech companies that need to scale learner numbers without putting student data or privacy at risk.
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Fintech
Geopits manages, secures, and scales the data infrastructure behind payments, lending, wallets, and embedded finance platforms. Built for fintech teams that need to move fast without putting transaction data or compliance at risk.
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HealthCare
Geopits manages, secures and modernises the databases behind EHR systems, patient records and clinical data. Built for hospitals and health systems where data accuracy, uptime and patient privacy are non-negotiable.
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Logistics
Geopits manages, secures and scales the databases behind booking engines, reservation systems, and loyalty programs. Built for logistics and hospitality platforms that need to handle peak-season traffic without booking data or payments at risk.
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Manufacturing
AI-enabled data management driving efficiency by automating data pipelines, enhancing quality, and accelerating analytics.
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Frequently Asked Questions
What is Apache Airflow used for?
Apache Airflow is used to author, schedule, and monitor workflows as directed acyclic graphs written in Python. Teams use it to orchestrate ETL, ELT, and machine learning pipelines as code instead of managing scattered cron jobs.
What does Apache Airflow managed services from Geopits include?
It covers DAG monitoring, scheduler tuning, executor management, and Airflow 3 migration support. Everything is monitored continuously through GeoOps.
Should we upgrade from Airflow 2 to Airflow 3?
Yes, if you have not already. Airflow 3 is the biggest architectural change in the project's history, and most managed platforms are phasing out support for Airflow 2.x builds, so staying on 2.x means running toward an end-of-support deadline.
Can Geopits help us migrate from ADF's Workflow Orchestration Manager?
Yes. Microsoft stopped accepting new environments in Workflow Orchestration Manager in January 2026 and is pushing existing customers to Airflow jobs in Fabric. We plan and execute that migration alongside our Fabric and ADF managed services.
How does Geopits help control Airflow costs?
We review executor sizing, worker scaling, and DAG scheduling efficiency to reduce unnecessary infrastructure spend. Clients typically see meaningful savings within the first quarter.
Do you support Airflow on Kubernetes?
Yes. We manage Kubernetes Executor configuration, Helm-based deployments, and auto-scaling workers for cloud-native Airflow environments.
Can you fix slow or failing DAGs?
Yes. We diagnose issues like scheduler latency, task queuing bottlenecks, and resource contention, and tune DAGs and infrastructure for reliable execution.
What is your SLA for critical Airflow issues?
P1 incidents get a response within 15 minutes, any time of day. Our team is reachable by email, Slack, phone, and ticketing.
Ready to Transform Your Data?
Geopits works alongside your team as a strategic partner, starting with stabilizing your current databases, then modernizing your data infrastructure, and ultimately helping you unlock the full potential of AI.
Happy Clients so far
Databases Managed
Successful Migrations
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