Multi-cloud log and data pipeline ingesting logs and resource metrics from AWS, Azure, and GCP simultaneously into a unified Apache Pulsar-based message queue. NestJS microservices (Log Collector, Log Sinker, Data Processor, Data Collector) orchestrate ingestion, transformation, and storage across six Pulsar topics, with PostgreSQL primary-replica persistence and Redis caching for API performance. Python batch analyzers consume processed data to detect anomalies and train models, enabling real-time observability across heterogeneous cloud environments. Fork this diagram on Diagrams.so to customize topic schemas, add Kafka alternatives, or extend with additional cloud providers. The architecture demonstrates polyglot microservices (NestJS, Kotlin Spring, Python) coordinating through event streams—a best practice for scaling multi-tenant, multi-cloud observability platforms.