This product has charges associated with it for hardening, security configuration, and support.
Kestra is an event-driven workflow orchestration and scheduling platform with declarative YAML flows and 600+ plugins, built as a Java/Postgres stack. Unlike bare Kestra AMIs that ship without any admin credentials configured (so the API rejects every request, including the owner's), expose port 8080 directly with no TLS, and bake the demo Postgres password into the image, this Lynxroute build is ready out of the box: a per-instance admin credential with a policy-compliant random password generated at first launch, Postgres reachable only on the Docker bridge with a rotated password, nginx TLS termination on port 443, UFW firewall pre-configured, and a CIS Level 1 hardened Ubuntu 24.04 LTS base.
Apache-2.0 license - fully auditable, no vendor lock-in.
This is a repackaged software product wherein additional charges apply for hardening, security configuration, and support.
WHAT IS KESTRA
Kestra is an open-source, event-driven workflow orchestration and scheduling platform built on the Java Virtual Machine (Eclipse Temurin 21) with a JDBC-backed Postgres state store. Workflows are authored as declarative YAML "flows" with a 600+ plugin catalog covering S3, GCS, Azure Blob, BigQuery, Snowflake, dbt, Airbyte, Kubernetes, Slack, GitHub, Postgres, MySQL, and dozens more. Core features include scheduled and event-driven triggers, dynamic tasks, namespaces with isolated secrets, a visual flow editor with execution graph and Gantt views, runtime expressions via the Pebble template engine, retries with backoff, conditional and parallel branching, and a REST API for headless control. Persists flow definitions, execution history, queue state, and blob metadata in PostgreSQL. Apache-2.0 license, no vendor lock-in. Positioned as a self-hosted alternative to Airflow, Prefect Cloud, and Temporal Cloud - the entire orchestration plane (scheduler, executor, UI, queue, history) runs in your own AWS account; no executions, no secrets, and no metadata leave your VPC.
WHAT THIS AMI ADDS
Security hardening:
Per-instance Kestra admin credential with a policy-compliant random password generated at first launch - never baked into the AMI
Kestra REST API and UI bound to 127.0.0.1:8080 - reachable only through the nginx reverse proxy with TLS
PostgreSQL 16 reachable only on the Docker bridge network (no host-port published) - database password generated per instance, the upstream demo password k3str4 never ships in this AMI
Nginx reverse proxy with TLS termination, WebSocket support for live execution log streaming, HTTP-to-HTTPS redirect, security headers (X-Content-Type-Options, X-Frame-Options, Referrer-Policy)
UFW firewall pre-configured - only TCP 22, 80, 443 are exposed
fail2ban, AppArmor
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
CIS Conformance Report at /etc/lynxroute/cis-report.html
CIS Tailored Profile at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md
Highlights
Kestra security baked in: per-instance admin credential with a policy-compliant random password generated at first launch, Kestra API and UI bound to 127.0.0.1 and reachable only through nginx with TLS, Postgres reachable only on the Docker bridge with a rotated password - unlike bare Kestra AMIs that ship without any admin credentials configured (so the API rejects every request, including the owner's) and embed the upstream demo Postgres password in 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.
Workflow orchestration: declarative YAML flows, 600+ plugins (S3, BigQuery, dbt, Airbyte, Kubernetes, Slack, Postgres), event-driven and scheduled triggers, namespaces with isolated secrets, visual flow editor with execution graph. Apache-2.0 license - fully auditable, no vendor lock-in, ever.
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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.
You pay by the hour based on the compute instance size you choose to run this hardened workflow orchestration image. The four options map to different EC2 instance types, so pricing scales with the capacity you select. The t3.large fits lighter or burstable workloads. The m6i.large, m6i.xlarge, and m6i.2xlarge step up in CPU and memory for heavier orchestration needs. All four deliver the same pre-hardened image; they differ only in the underlying instance size and its hourly rate. You add AWS infrastructure charges separately. Pick the instance that matches your workload, and change it later if needs shift.
Top-of-mind questions for buyers
What resources does each instance option give me for the hourly rate?
Each option maps to a specific EC2 instance type. The t3.large is a burstable instance suited to lighter, intermittent workloads. The m6i.large, m6i.xlarge, and m6i.2xlarge deliver steadily increasing CPU and memory. You pick the instance whose capacity matches your orchestration load.
Am I charged the hourly software rate when the instance is stopped?
The software charge meters running hours only, so a fully stopped instance does not accrue the hourly software fee. You may still pay AWS for attached storage while the instance is stopped. AWS infrastructure charges apply separately from this software rate.
What is included in every instance regardless of which size I pick?
All four options run the same pre-hardened image. Each includes a CIS Level 1 hardened Ubuntu 24.04 base, a CVE scan before release, a bundled software bill of materials, a conformance report, and unique credentials generated at first boot. Only the underlying instance size and its hourly rate differ.
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Vendor refund policy
We do not offer refunds for this product. AWS infrastructure charges (EC2, EBS, data transfer) are billed separately by AWS and are not refundable by us.
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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
Kestra 1.3.24
Kestra 1.3.24 on Ubuntu 24.04 LTS - maintenance release (patch from 1.3.22) with bugfixes and security hardening: bcrypt BasicAuth password storage, read-only KVSTORE access controls, a new FORM input wizard, and SSE/Prometheus metrics improvements
Certbot pre-installed - enable a trusted HTTPS certificate with one command: sudo certbot --nginx -d yourdomain.com
Rebuilt on the latest CIS Level 1 hardened Ubuntu 24.04 LTS base
Open https://<PUBLIC_IP>/ in your browser - accept the self-signed certificate warning
Log in with the username and password from the credentials file
UI -> Settings -> Users -> change BOTH the email and the password to your own (the bootstrap email is a per-instance .local pseudo-address)
Create your first flow: UI -> Flows -> Create
First boot takes 60-120 seconds (JVM warm-up + Postgres migrations + plugin index registration).
Until ready, https://<PUBLIC_IP>/ returns a Lynxroute loading splash that auto-refreshes.
Credentials are saved to /root/kestra-credentials.txt at first boot (root-only, mode 600).
Replace the self-signed TLS certificate with a CA-signed certificate (e.g. Let's Encrypt via Certbot) for production use.
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This product has charges associated with it for seller support. Simple, Secure and Supported deployment with the Hossted CLI, for easy self-maintenance.
This product has charges associated with it for Websoft9 support. Pre-configured, web-based, cloud-native, secure, one-click to deploy Websoft9 Applications Hosting Platform on AWS. Websoft9 is a lightweight, self-hosting PaaS that allows you to deploy multiple applications on your own cloud infrastructure.
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