Modern cloud-native architectures require robust, scalable, and secure log processing solutions to monitor distributed applications. This study presents a hybrid solution for log collection, aggregation, and analysis using Azure Kubernetes Service (AKS) for log generation, Fluent Bit for log collection, Azure EventHub for intermediary aggregation, and Splunk deployed on an on-premises Apache CloudStack cluster for comprehensive log indexing and visualization. 

We detail the system’s design, implementation, and evaluation, demonstrating how this architecture supports reliable and scalable log processing for cloud-native workloads while retaining control over data on-premises.