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
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Features and programs
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Pricing
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
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Content disclaimer
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.