Modernizing Infrastructure and Applications with Google Cloud

A retail company has a monolithic inventory system running on-premises. The digital team wants to let external mobile and partner developers consume inventory data without exposing the legacy backend directly, while adding rate limiting, authentication, and usage analytics. Which Google Cloud product best addresses this need?

A financial services company has built several internal services that partner organizations now want to consume programmatically. Leadership wants to expose these services externally with consistent security, usage quotas per partner, developer onboarding through a self-service portal, and the ability to track and eventually charge for API consumption. Which Google Cloud product best meets these requirements?

A retail company has built several backend microservices that expose data to internal teams and a few external partners. Leadership is concerned about inconsistent security enforcement, no visibility into which teams call which services, and difficulty enforcing rate limits across the different APIs. They want a single layer to manage, secure, and monitor all of their APIs without rewriting the backends. Which Google Cloud product should they adopt?

A retail company stores product photos in a Cloud Storage bucket. Whenever a new image is uploaded, they need to automatically generate a thumbnail. The workload is sporadic and event-driven, and the team wants to write only a small piece of code without managing any servers or containers. Which Google Cloud service best fits this requirement?

A retail company runs a small, single-purpose function that validates a shipping address whenever a customer submits a checkout form. Traffic is unpredictable and spiky, and the team wants to write only the function logic without managing servers, containers, or scaling configuration. They also want costs to be zero when there is no traffic. Which Google Cloud service best fits this need?

A retail company runs a stateless product-catalog API packaged as a Docker container. Traffic is highly variable, dropping to nearly zero overnight and spiking during flash sales. The team wants to deploy the container without managing servers or Kubernetes clusters, pay only for actual request processing, and scale automatically including down to zero. Which Google Cloud service best fits these requirements?

A retail company has a stateless containerized REST API that currently runs on a self-managed Kubernetes cluster in their data center. Traffic varies widely throughout the day, and the operations team spends significant time patching nodes and managing cluster capacity. Leadership wants to eliminate cluster management overhead entirely while keeping the existing container image and paying only for actual request processing. Which Google Cloud service best fits these requirements?

A retail company runs an internal reporting service that is only used a few times a day when managers request sales summaries. The service is packaged as a stateless container. Management wants to avoid paying for compute when the service is idle, and the operations team does not want to manage servers, scaling policies, or clusters. Which Google Cloud compute option best fits these requirements?

A development team has packaged a stateless web application into a container image. They want to deploy it so that it automatically scales to zero when there is no traffic, scales up during demand spikes, and requires no cluster or server management. They only want to pay for the compute time when requests are actually being processed. Which Google Cloud service best fits these requirements?

A media company runs a fleet of Compute Engine virtual machines that operate 24/7 at a predictable, steady level of utilization throughout the year. Finance wants to reduce the compute bill without changing the architecture or risking interruption of these always-on workloads. Which option best meets this requirement?

A retail company runs its customer-facing web application on a fixed set of Compute Engine virtual machines. Traffic is highly unpredictable, with sudden spikes during flash sales followed by long quiet periods. The operations team wants Google Cloud to automatically add and remove identical VM instances based on CPU load, without rewriting the application. Which Compute Engine capability best meets this need?

A manufacturing company runs a licensed legacy application on physical servers in its own data center. The application requires specific OS-level configurations, custom kernel modules, and cannot easily be rewritten. The company wants to move to Google Cloud quickly with minimal changes to the application while retaining full control over the operating system. Which Google Cloud compute option best fits this migration approach?

A financial services company is migrating a legacy application to Google Cloud. Their software vendor licenses are tied to physical hardware, and their compliance auditors require that the workload run on physically isolated servers not shared with other customers. Which Compute Engine option best meets these requirements?

A retail company runs its containerized microservices on a self-managed Kubernetes cluster on-premises. The operations team spends significant time provisioning worker nodes, patching operating systems, and right-sizing node pools. Leadership wants to move to Google Cloud and reduce operational overhead so the team can focus on application features rather than managing cluster infrastructure. Which option best meets this goal while still using Kubernetes?

A retail company has broken its monolithic application into dozens of containerized microservices. They need a platform that automatically handles container scheduling, self-healing of failed containers, and horizontal scaling based on load, while giving them control over networking and resource configuration. Which Google Cloud service best fits this requirement?

A retail company runs Kubernetes clusters in its on-premises data center and also operates clusters in Google Cloud and another public cloud provider. The platform team is struggling to apply consistent security policies and configurations across all these environments and wants a single control plane to manage the fleet centrally. Which Google Cloud solution best addresses this need?

A retail company runs Kubernetes clusters in its own on-premises data center and has recently deployed additional clusters on Google Cloud. The platform team is struggling to enforce identical security policies and get a unified view of workloads across both environments. They want a single Google Cloud solution that lets them manage configuration and policy consistently across the on-premises and cloud clusters without rewriting their applications. Which offering best meets this need?

A retail company runs Kubernetes clusters in Google Cloud, in its own on-premises data center, and in another public cloud provider. Platform engineers struggle to apply consistent security policies and configuration across all these clusters and want a single management approach that works across all three environments. Which Google Cloud offering best addresses this need?

A retail company runs dozens of microservices across multiple GKE clusters. Their operations team struggles to understand how services communicate, apply consistent traffic policies (like retries and circuit breaking), and secure service-to-service communication with mutual TLS—all without modifying application code. Which GKE Enterprise capability best addresses these needs?

A retail company runs a single production application on one GKE cluster in a single Google Cloud region. The DevOps team wants to reduce the effort of manually applying Kubernetes updates, node provisioning, and infrastructure tuning for this one cluster, while staying on standard Kubernetes. They are not managing on-premises or multi-cloud clusters. Which approach best fits their needs?