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    N8N Automation Platform with PostgreSQL 18 on Ubuntu 26.04

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    Deployed on AWS
    Production-ready n8n workflow automation platform on Ubuntu 26.04 with PostgreSQL 18, systemd auto-start, and persistent storage. Launch and access instantly via IP:5678

    Overview

    n8n Workflow Automation Server on Ubuntu 24 04 LTS is a production ready automation platform optimized for AWS EC2 deployments

    This AMI includes a fully configured n8n environment with PostgreSQL database backend Nodejs runtime and automatic service startup configuration

    Included Components

    Ubuntu Server 24 04 LTS n8n workflow automation platform PostgreSQL database backend Nodejs 20 runtime Systemd auto start service Persistent workflow and credential storage Optimized production configuration

    After launching the EC2 instance users can immediately access the n8n web interface using

    http://PUBLICIP:5678 

    Users can create their own administrator account during initial setup and begin building automation workflows

    Features

    Workflow automation REST API integrations Webhook automation Scheduled workflows Database integrations Email automation AI and LLM workflow support Persistent PostgreSQL backend Native host deployment Optimized for AWS EC2

    Default Configuration

    Application Port 5678 Database PostgreSQL Service Manager systemd Operating System Ubuntu 24 04 LTS

    Deployment Instructions

    1 Launch an EC2 instance using this AMI

    2 Configure the Security Group to allow inbound TCP port 5678

    3 Open the following URL in your browser

    http://PUBLICIP:5678 

    4 Create your n8n administrator account

    5 Start building automation workflows

    Important Notes

    HTTPS and SSL are not configured by default Customers may configure their own domain reverse proxy and SSL certificates PostgreSQL is configured locally and is not publicly accessible Customers are responsible for firewall and network security configuration Recommended instance type t3 small or higher for production environments

    This AMI is suitable for developers automation engineers DevOps teams startups and enterprises seeking a fast and production ready n8n deployment on AWS EC2

    Highlights

    • Automate workflows, APIs, webhooks, emails, and business processes using n8n
    • Build no-code and low-code automation pipelines with 400+ integrations
    • Create AI agents, scheduled jobs, notifications, and data automation workflows

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 26.04

    Deployed on AWS
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    Pricing

    N8N Automation Platform with PostgreSQL 18 on Ubuntu 26.04

     Info
    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.

    Usage costs (33)

     Info
    Dimension
    Cost/hour
    t3.medium
    Recommended
    $0.10
    m5a.large
    $0.10
    m5ad.xlarge
    $0.10
    t2.2xlarge
    $0.10
    t2.medium
    $0.10
    c6in.large
    $0.10
    c1.xlarge
    $0.10
    c6i.large
    $0.10
    c5ad.large
    $0.10
    c5a.xlarge
    $0.10

    Vendor refund policy

    No Refund

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Usage information

     Info

    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

    Initial release of n8n 1.0.0 Workflow Automation Server on Ubuntu 24 04 LTS

    Included components

    n8n 2.8.4 workflow automation platform PostgreSQL 18 database backend Nodejs 20 runtime Systemd auto start service Production optimized configuration for AWS EC2

    Features

    REST API integrations Webhook automation Scheduled workflows AI and LLM workflow support Database integrations Email automation

    Default access

    http://PUBLICIP:5678 

    Recommended instance families

    • t3
    • m5
    • m5a
    • m6i
    • m6a
    • c5
    • c6i

    HTTPS SSL reverse proxy and domain configuration are managed by the customer

    Additional details

    Usage instructions

    1. Launch an EC2 instance from this AMI.

    2. Configure the Security Group to allow: TCP Port 22 (SSH) TCP Port 5678 (n8n Web Interface)

    3. Wait 1 to 2 minutes for the instance initialization and automatic n8n startup.

    4. Open your browser and access: http://PUBLICIP:5678 

    5. Create your n8n owner account on first launch.

    6. Start building workflow automations, API integrations, webhooks, AI agents, and scheduled jobs.

    Optional Production Configuration: Configure your own domain name Setup SSL/HTTPS using reverse proxy (Nginx or Apache) Restrict port access using Security Groups Configure automated backups and monitoring

    Important Notes: PostgreSQL is preconfigured locally and not publicly exposed n8n service starts automatically on system boot Default n8n port: 5678 Ubuntu 26.04 LTS based deployment

    Support

    Vendor support

    CUSTOMER SUPPORT COMMITMENT Support Level: Professional technical support with guaranteed response times Contact details: Email: reach@techforceglobal.com  Response Times: We usually respond within 24 hours on business days

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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