Rapidly scaling a video encoding platform on Compute Engine requires balancing high availability, automation, and cost-efficiency through autoscaling instance groups.
A gaming platform faces diverse microservice workloads in GKE. We explore the optimal node pool strategy to balance CPU-heavy and general workloads efficiently.
A global gaming startup runs multiple VPC-native GKE clusters on a shared subnet and faces IP exhaustion. This drill analyzes the best approach to scale node pools without network disruptions.
This drill explores connecting Compute Engine instances running in separate VPCs and projects, focusing on the best practices for network sharing and access control.
A global IoT gaming company must process large-scale time-series data from devices efficiently, balancing simplicity, scalability, and analytics speed.
A fintech startup needs to host a mission-critical application on a shared Compute Engine project, ensuring isolation from other teams’ activities to avoid accidental downtime.
A growing fintech startup needs to migrate an on-premises batch analytics job running nightly to GCP with minimal cost and operational effort. Which approach best balances operational simplicity and cost efficiency?