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A large organization is setting up a FinOps governance framework to manage cloud costs across multiple departments. They want to ensure each department has visibility into its spending and accountability for optimizing it. Which of the following approaches best aligns with the principles of FinOps governance in a large-scale environment?
Scenario: A gaming company operates a serverless backend on Google Cloud Platform (GCP) to support a global multiplayer game. They use Google Cloud Functions to handle API requests from players and store game state data in Google Cloud Firestore. Recently, costs have surged due to increased player interactions, leading to frequent Cloud Function invocations and high Firestore read/write charges. The development team wants to optimize the serverless architecture to reduce these expenses while maintaining real-time game response times for a smooth player experience.What is the most cost-effective approach to optimize the architecture while meeting the performance requirements?
A multinational enterprise has adopted a hybrid strategy, using both cloud-native FinOps tools (e.g., AWS Cost Explorer and Azure Cost Management) and third-party tools (e.g., CloudCheckr) for cost analysis across multiple cloud providers. The FinOps team wants to enhance cost visibility and identify underutilized resources across the hybrid cloud environment. However, they are facing data discrepancies between the cloud-native tools and CloudCheckr. Which two actions would best help the team resolve these discrepancies and optimize cloud resource usage?
A large organization is setting up a FinOps governance framework to manage cloud costs across multiple departments. They want to ensure each department has visibility into its spending and accountability for optimizing it. Which of the following approaches best aligns with the principles of FinOps governance in a large-scale environment?
Your company uses Kubecost to manage and allocate Kubernetes cloud costs for multiple teams working within a shared cluster. Recently, the FinOps team noticed unexpected cost increases in certain namespaces. They want to identify the primary cost drivers and adjust settings to better control future expenses. Which of the following actions in Kubecost would provide the most comprehensive insights into cost spikes and help optimize resource usage?
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