Over the past few years, there has been a significant shift from on-premise software to Software-as-a-Service (SaaS), transforming how enterprises consume software. Despite this shift, the core requirements for high availability, disaster preparedness, and integrity assurances in enterprise and web-scale software remain unchanged. With the reliance on SaaS, ensuring architectural and operational compliance falls on the SaaS operators, whose adherence to compliance is verified through certifications similar to those in mature industries. Compliance, which started as a quality assurance metric, has evolved into a critical component for ensuring the safety and reliability of network systems, becoming a mandatory requirement across the supply chain. Logging plays a central role in compliance, offering essential insights into system functionality and robustness, and as logging systems become increasingly sophisticated with AI and machine learning, ensuring their compliance is crucial. This need for compliance extends to the logging systems themselves, as they must provide reliable and accurate data, especially in high-risk situations. Overall, compliance is more than just a checkmark; it is essential for the development and operation of trustworthy and autonomous systems, as emphasized by Logz.io's commitment to compliance with standards like SOC-2 Type 2 and ISO 27001.