The log monitoring landscape for cloud-native architectures is complex due to the diversity of microservices, container technologies, and open source components, making it necessary to rethink traditional strategies for aggregating, analyzing, and storing application logs. The main challenges with log monitoring in cloud-native environments include scale, ephemeral storage, log variety, and vendor lock-in, which can limit a team's ability to respond to issues effectively or become locked into a specific vendor's proprietary solution. To overcome these challenges, implementing a centralized log management solution using open standards, embracing the latest tracing and logging technologies, adopting open standards for application logs, and excluding unnecessary data from logs are key best practices that help define an effective strategy for cloud-native applications.