Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.

This session will explain how you can architect your mission-critical workloads on Google Cloud infrastructure to ensure high availability and resilience inline with your recovery point objective and recovery time objective requirements.

We will cover architectures, product capabilities, and operational procedures to ensure that your organization can continue to function through interruptions to keep your mission-critical workloads running. Examples include easily deploying a critical database workload with resilience across multiple points of presence, bringing up a workload quickly and reliably when a disaster occurs, and managing backups at scale with cost efficiency.

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Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.