Browse past weeks of engineering reads.
Network administrators needed deep, programmable control over how BGP routes are evaluated and propagated without requiring expensive third-party virtual appliances.
Ensuring high availability and service continuity when AI inference workloads fail in one region while maintaining access to the service across multiple regions.
Managing startup latencies up to 20 seconds for AI workloads on Cloud Run serverless GPUs, which causes poor user experience and is driving developers back to traditional container orchestration.
Migrating business-critical load balancer configurations from on-premises hardware solutions to Google Cloud while preserving existing traffic manipulation logic.