Your ML team is training a large route-prediction model. Which approach minimizes the energy and carbon footprint of model training?
この演習はコースの一部です
理論を実践に変える、インタラクティブな演習のひとつをお試しください
Learn the core pillars, adaptable design principles, and collaborative review methodologies that define the Google Cloud Well-Architected Framework.
Configure automated deployment pipelines and establish real-time observability telemetry to maintain smooth, consistent production operations.
Design a defense-in-depth security posture using zero-trust identity boundaries, cryptographic data protection, and automated compliance folders.
Engineer highly available, fault-tolerant cloud architectures capable of absorbing massive traffic surges and recovering from regional failures.
Establish cloud financial accountability, eliminate idle resource waste, and leverage strategic Google Cloud pricing models to optimize spend.
Minimize application latency and maximize system throughput using horizontal autoscaling, distributed caching, and global network edge delivery.
Measure workload carbon footprints, select low-carbon regions, and design scale-to-zero serverless architectures to support corporate net-zero commitments.
現在の演習
Apply all six architectural pillars to a comprehensive enterprise case study using an interactive, prompt-driven AI review simulation.
In this module, we cover security. Google has been operating securely in the cloud for 20 years. There is a strong belief that security empowers innovation. The approach of the cloud architect should be that security should be put first; everything else will follow from this.
In this final module of this course, we cover application maintenance and monitoring.
PDF links to all modules
