Migrate these on-premises systems to Google Cloud with global scalability and minimal ops: MySQL cluster (primary DB), Apache Kafka (event streaming), and a Cloud SQL for PostgreSQL instance (analytics). What should you migrate them to?

To achieve global scalability and minimal operational overhead, MySQL should migrate to Cloud Spanner. Cloud Spanner is a globally distributed, strongly consistent database, ideal for high-scale relational workloads. Kafka, an event streaming platform, maps directly to Pub/Sub, Google Cloud's managed, scalable messaging service. The existing Cloud SQL for PostgreSQL instance, used for analytics, should be migrated to BigQuery. BigQuery is a serverless, highly scalable data warehouse optimized for analytical queries, offering superior performance and lower operational burden compared to a transactional database for analytics. Migrating MySQL to Cloud SQL would limit global scalability. Using Memorystore for Kafka is incorrect as Memorystore is a caching service, not an event streaming platform. Keeping Cloud SQL for PostgreSQL for analytics would not provide the same scalability and cost-efficiency as BigQuery for analytical workloads.