You are tasked with designing a highly available application that experiences unpredictable traffic spikes. Which compute service and auto-scaling configuration would you choose to minimize costs while ensuring resilience?

For a highly available application that experiences unpredictable traffic spikes, while also aiming to minimize costs and ensure resilience, Google Kubernetes Engine (GKE) combined with Horizontal Pod Autoscaling (HPA) and Cluster Autoscaler is the most appropriate solution. Let's break down why these technologies are ideal and how they would be configured. Why GKE is the Right Choice: Containerization: GKE is built on top of Kubernetes, which manages containerized applications. Containers offer a consistent and portable runtime environment, ensuring the application can run predictably across different environments (development, staging, production) and enabling easier deployment and scaling. High Availability: GKE provides built-in features for high availability. Nodes within a GKE cluster can be spread across multiple availability zones, minimizing the impact of any single zone failure. Additionally, Kubernetes manages the health of the application pods and will reschedule them automatically if a node fails, leading to enhanced resilience. Orchestration: Kubernetes handles the automated deployment, scaling, and management of containerized applications. This significantly reduces manual intervention and makes it simpler to manage complex applications across multiple servers. Flexibility: GKE provides a high degree of flexibility by allowing applications to use diverse programming languages, libraries, and deployment patterns. It supports both stateless and stateful applications which makes it applicable to many use cases. Integration: GKE integrates seamlessly with other Google Cloud services, such as Cloud Monitoring and Cloud Logging, providing tools to observe, manage, and diagnose application performance and health. Why Horizontal Pod Autoscaling (HPA) is the Right Choice: Auto....