This episode explores AWStats, a foundational log analyzer that transformed raw server log data into accessible graphical insights. Before the dominance of JavaScript-heavy tracking, AWStats provided detailed analytics by processing server logs, which acted as meticulous records of website interactions. Distributed under the GPL, AWStats was free, powerful, and community-driven, making web analytics accessible even to beginners. It could analyze logs from various servers, including Apache, and presented data through user-friendly reports with charts and graphs. AWStats’s efficiency stemmed from using partial information files to store intermediate data, enabling rapid processing of large log files. The tool offered granular insights into visitor identity, technology (detecting hundreds of browsers and operating systems), and technical capabilities like Java or Flash support, which were crucial for early web development decisions. It also provided marketing insights by identifying search engines and keywords used to find a site, alongside security data like bot tracking and worm attack detection. For hosting providers, AWStats supported multi-named websites, allowing efficient analysis of numerous client logs. While the original author is no longer developing new versions, the project is transitioning to a community-supported model. For users prioritizing open source and data control, Matomo’s log analytics is recommended as a migration path. The document concludes by questioning the potential loss of visibility and control in modern analytics due to over-reliance on client-side tracking, highlighting AWStats’s server-side data extraction capabilities as a testament to what was achievable.

https://www.awstats.org/


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