During November 2024, Pierre Penhouet enhanced observability and data hygiene across the SEKOIA-IO/documentation and SEKOIA-IO/automation-library repositories. He developed a sample Sigma rule in Markdown and Python to monitor Sekoiaio forwarder metrics, enabling users to detect issues such as full queues and potential log loss. Pierre also updated documentation to guide users in creating custom monitoring rules. In the automation-library, he refactored LDAP search result handling by implementing attribute-only serialization using Python and YAML, which reduced output noise and improved the efficiency of Active Directory search commands. His work demonstrated thoughtful application of monitoring and log management principles.