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    Plausible on Ubuntu 26.04 with maintenance support by kCloudHubs

     Info
    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for seller support. Plausible Analytics is a lightweight, privacy-focused web analytics platform that helps website owners track visitor traffic, page views, referrals, conversions.

    Overview

    Plausible Analytics on Ubuntu 26.04

    Plausible Analytics is a lightweight, privacy-focused web analytics platform available for deployment on Ubuntu 26.04. It provides website owners, developers, and businesses with actionable traffic insights while respecting user privacy. Unlike traditional analytics platforms, Plausible does not rely on invasive tracking techniques and offers a simple, easy-to-understand dashboard for monitoring website performance.

    What Plausible Analytics Does

    Plausible Analytics collects and visualizes website traffic data, helping users understand visitor behavior, traffic sources, page performance, goals, and conversions. It delivers essential analytics without cookies or personal data collection, making it a privacy-friendly alternative to traditional analytics solutions.

    Key Features

    • Privacy-focused analytics without invasive user tracking.
    • Simple and intuitive dashboard with real-time visitor insights.
    • Tracks page views, referrers, countries, devices, and custom events.
    • Supports goal and conversion tracking for business metrics.
    • Self-hosted deployment option for complete data ownership and control.

    Technical Highlights

    • Runs on Ubuntu 26.04 using Docker containers.
    • Powered by PostgreSQL and ClickHouse databases.
    • Lightweight analytics script with minimal impact on website performance.
    • Supports custom domains, reverse proxies, and SSL/TLS encryption.
    • Designed for GDPR, CCPA, and privacy-conscious deployments.

    Use Cases

    • Website traffic monitoring and visitor analytics.
    • Marketing campaign and referral source analysis.
    • E-commerce and conversion tracking.
    • Business intelligence and performance reporting.
    • Privacy-compliant analytics for organizations and developers.

    Why Choose Plausible Analytics?

    Plausible Analytics offers a modern, privacy-first approach to website analytics while remaining easy to deploy and manage on Ubuntu 26.04. With its lightweight architecture, self-hosting capabilities, and user-friendly dashboard, it is an excellent choice for organizations seeking actionable insights without compromising visitor privacy or data ownership.

    Highlights

    • Runs on Ubuntu 26.04 using Docker containers.
    • Powered by PostgreSQL and ClickHouse databases.

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 26.04

    Deployed on AWS
    New

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Plausible on Ubuntu 26.04 with maintenance support by kCloudHubs

     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.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (21)

     Info
    Dimension
    Cost/hour
    m4.large
    Recommended
    $0.03
    t3.micro
    $0.03
    t2.micro
    $0.01
    t3.nano
    $0.03
    t2.2xlarge
    $0.03
    t2.medium
    $0.03
    t3.medium
    $0.03
    t2.large
    $0.03
    t3.large
    $0.03
    r4.large
    $0.03

    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) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    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

    Packaged with latest updates as of June/2026

    Additional details

    Usage instructions

    Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  - Run the following commands: #sudo su #docker restart $(docker ps -q) To Access Plausible: http://your-ip:8000 

    Support

    Vendor support

    Feel free to reach out anytime. Our support team is available 24x7 for assistance mail: meha@kcloudhubs.com 

    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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