Core GCP Services for Java Backend Developers

GCP for Java backend work organizes around the same three layers as other clouds — compute, data storage, and messaging — but GCP's standout services are Cloud Run for containerized serverless compute and BigQuery for analytics.

Compute — from most managed to most controlled

• Cloud Run runs Docker containers on demand with automatic scaling to zero — which means a Spring Boot container that receives no traffic costs nothing; when traffic arrives, Cloud Run starts instances in seconds; no cluster or instance management
• GKE (Google Kubernetes Engine) provides a managed Kubernetes control plane with Autopilot mode (fully managed nodes) or Standard mode (you manage node pools); the right choice when you need Kubernetes features like custom resource definitions, sidecar containers, or fine-grained pod scheduling
• Compute Engine is raw VMs — use only when you need specific hardware, custom OS images, or GPU access; for most Spring Boot services, Cloud Run or GKE is the better starting point

Data storage

• Cloud SQL manages PostgreSQL and MySQL with automatic backups, failover replicas, and point-in-time recovery — full JDBC and Hibernate compatibility with no code changes
• Cloud Spanner is globally distributed, horizontally scalable, and strongly consistent — SQL syntax, but splits data across nodes automatically; use when you outgrow Cloud SQL's vertical scaling ceiling
• Firestore is a serverless document database; Cloud Bigtable is a wide-column store for time-series and IoT workloads; BigQuery is a columnar data warehouse for OLAP analytics

Messaging

• Cloud Pub/Sub is GCP's managed messaging service with push and pull delivery models — producers publish to topics; consumers subscribe; messages are retained until acknowledged
• Spring Cloud GCP provides spring-cloud-gcp-starter-pubsub with PubSubTemplate for publishing and @PubSubListener for consuming