Sold by: Lynxroute
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This is a repackaged open source software product wherein additional charges apply for hardening, security configuration, and setup support.
Apache Airflow is the leading open-source platform to programmatically author, schedule, and monitor data-pipeline workflows (DAGs), running Airflow 3.2 on Python 3.12 with the LocalExecutor and a local PostgreSQL metadata database. This Lynxroute build is hardened and ready out of the box: the api-server is bound to loopback behind an nginx TLS perimeter on 443, PostgreSQL is bound to 127.0.0.1, the Fernet key, API secret key, database password, and admin login are all generated uniquely at first boot, services run as a non-root user, and the base is CIS Level 1 hardened Ubuntu 24.04 LTS.
Apache-2.0 license - fully auditable, no vendor lock-in. Built on Apache Airflow(R), a trademark of The Apache Software Foundation.
Overview
This is a repackaged open source software product wherein additional charges apply for hardening, security configuration, and setup support.
WHAT IS APACHE AIRFLOW
Apache Airflow is the leading open-source platform to programmatically author, schedule, and monitor workflows, the de facto standard for orchestrating data pipelines. Workflows are defined as Directed Acyclic Graphs (DAGs) in plain Python, giving you dynamic pipeline generation, flexible scheduling, backfills, retries, branching, and a rich web UI for monitoring task runs and logs. Airflow ships hundreds of provider packages that integrate with databases, cloud services (AWS, GCP, Azure), Kubernetes, Spark, dbt, and HTTP/SQL endpoints, plus a full REST API. This image runs Airflow 3.2 on Python 3.12 with the LocalExecutor (single-node, no external Celery or Redis broker required), persisting all DAG metadata, connections, variables, and run history in a local PostgreSQL database. Apache-2.0 license, no vendor lock-in.
WHAT THIS AMI ADDS
Security hardening:
- api-server (web UI + REST API) bound to 127.0.0.1:8080 (loopback only); nginx terminates TLS on port 443 and reverse-proxies to it - port 8080 is never exposed
- Local PostgreSQL metadata database bound to 127.0.0.1 only
- Fernet key (connection/variable encryption), API secret key, PostgreSQL password, and admin login all generated uniquely at first boot, written to /root/airflow-credentials.txt (mode 600) - no secrets baked into the image
- scheduler, api-server, dag-processor, and triggerer run as a non-root airflow system user with UMask 0027
- Anonymous usage analytics disabled
- certbot pre-installed - one command swaps the self-signed cert for a CA-signed one
- UFW firewall pre-configured (only ports 22 and 443 open)
- CVE scan - every image is scanned for vulnerabilities before release
OS hardening (CIS Level 1):
- CIS Ubuntu 24.04 LTS Level 1 benchmark applied via ansible-lockdown
- auditd, fail2ban, AppArmor, SSH key-only, kernel hardening, IMDSv2 enforced
Compliance artifacts:
- SBOM - CycloneDX 1.6 at /etc/lynxroute/sbom.json
- CIS Conformance Report at /etc/lynxroute/cis-report.html
- CIS Tailored Profile at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md
Built on Apache Airflow(R), a trademark of The Apache Software Foundation. This is an independently hardened build, not affiliated with or endorsed by the ASF.
Highlights
- Apache Airflow security baked in: the api-server is bound to loopback behind an nginx TLS perimeter on 443, the PostgreSQL metadata database is bound to 127.0.0.1, and the Fernet key, API secret key, database password, and admin login are all generated uniquely at first boot. The scheduler, api-server, and dag-processor run as a non-root service with no secrets baked into the image.
- CIS Level 1 hardened Ubuntu 24.04 LTS: auditd, fail2ban, AppArmor, SSH key-only, IMDSv2 enforced. CVE-scanned before every release. SBOM (CycloneDX) and CIS Conformance Report included.
- Airflow 3.2 on Python 3.12 with the LocalExecutor and a local PostgreSQL metadata database: author, schedule, and monitor data pipelines as Python DAGs, with hundreds of provider integrations and a full REST API. Apache-2.0 license - fully auditable, no vendor lock-in.
Details
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64-bit (x86) Amazon Machine Image (AMI)
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Operating system
Ubuntu 24.04
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.05 |
m6i.large | $0.05 |
m6i.xlarge | $0.05 |
t3.medium | $0.05 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run. Four options are available: t3.medium and t3.large use burstable general-purpose instances, while m6i.large and m6i.xlarge use fixed-performance general-purpose instances. Pricing scales with instance capacity, so you choose the size that matches your workflow orchestration workload. Each option carries its own hourly software rate. You run the instance in your own cloud account, and billing stops when you stop the instance. AWS collects all fees on the vendor's behalf.
Top-of-mind questions for buyers
The t3.medium and t3.large are burstable instances that bank credits during low activity and spend them during spikes. The m6i.large and m6i.xlarge hold fixed CPU performance at all times. Choose burstable for uneven workflow loads, fixed-performance for steady orchestration tasks. Each size carries its own hourly software rate.
The software rate meters running time only. When you stop the instance, the hourly software charge stops. Stopped instances may still incur underlying AWS storage fees for the attached disk, but no Lynxroute software charge accrues while the instance is not running.
Every image ships with CIS Level 1 OS hardening, SSH and kernel hardening, firewall, and fail2ban pre-configured. Each release is CVE-scanned, and a CycloneDX SBOM plus CIS Conformance Report are bundled inside. Unique credentials generate at first boot. This applies to all four instance sizes equally.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Apache Airflow 3.3.2 r2
- Security: fixes CVE-2026-111497, a critical (CVSS 9.8) buffer overflow in the Brotli decompression library that lets a crafted compressed stream crash a process or execute code. Ships Ubuntu brotli 1.1.0-2ubuntu0.1 (USN-8956-1). Every earlier image of this product carries the vulnerable library; replace running instances or run: sudo apt-get update && sudo apt-get install --only-upgrade libbrotli1 brotli python3-brotli
- The application version is unchanged (Apache Airflow 3.3.2); this is a security rebuild
- Rebuilt on the latest CIS Level 1 hardened Ubuntu 24.04 LTS base, picking up every operating-system security update published since the previous build
Additional details
Usage instructions
- Launch instance (t3.large recommended; t3.medium minimum)
- Open Security Group - allow TCP 443 from your IP
- SSH: ssh -i key.pem ubuntu@<PUBLIC_IP>
- Read the admin credentials: sudo cat /root/airflow-credentials.txt
- Open https://<PUBLIC_IP>/ in your browser - accept the self-signed certificate warning, then log in with the admin username and password from step 4.
- The DAGs view lists bundled example DAGs (paused by default). Unpause one and trigger it to watch the scheduler and LocalExecutor run tasks; drop your own DAG files into /opt/airflow/dags.
Airflow runs the api-server (web UI + REST API) on 127.0.0.1:8080; nginx terminates TLS on port 443 and reverse-proxies to it. The scheduler, dag-processor, and triggerer run as separate services, and the metadata database is a local PostgreSQL bound to 127.0.0.1. The admin password, Fernet key, API secret key, and database password are generated uniquely per instance at first boot and saved to /root/airflow-credentials.txt.
Restrict Security Group port 443 to your own IP until you have logged in and changed the admin password.
Replace the self-signed TLS certificate with a CA-signed certificate for production use: sudo certbot --nginx -d yourdomain.com
Resources
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Support
Vendor support
Visit us online: https://lynxroute.com/#contact
For Apache Airflow documentation:
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