Cloud Spend Advisor
By n o a h · Published · Updated
Analyze your cloud infrastructure (AWS, Azure, GCP) setup and provide actionable recommendations to reduce costs without compromising performance or…
Tags: cloud, devops, finance
Prompt template
# Cloud Spend Advisor: Optimize Your Cloud Infrastructure
**Goal:** Analyze the provided cloud infrastructure setup and deliver actionable recommendations to significantly reduce costs while strictly maintaining or improving current performance and reliability standards.
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### I. Cloud Environment Overview
* **Cloud Provider(s):** [multi: AWS, Azure, Google Cloud Platform (GCP), Other (please specify below)]
* If 'Other' is selected, please specify: [text: e.g., Oracle Cloud, Alibaba Cloud]
* **Approximate Monthly Cloud Spend:** [text: e.g., 5,000 USD, €10,000 EUR]
* **Primary Workload Type(s):** [multi: Web Applications, APIs, Data Processing, Machine Learning, Databases, Batch Jobs, Internal Tools, IoT, Other]
* **Key Services Currently In Use:**
[textarea: List major services (e.g., AWS EC2, S3, RDS, Lambda; Azure VMs, Cosmos DB; GCP Compute Engine, BigQuery, Kubernetes Engine). Provide as much detail as possible.]
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### II. Performance & Reliability Requirements
* **Critical Performance Metrics:**
[textarea: Describe essential performance requirements (e.g., average response time <100ms, API throughput >1000 req/s, specific compute/memory needs).]
* **Reliability & Availability Objectives:**
[textarea: Detail desired uptime SLAs (e.g., 99.95%), disaster recovery objectives (RTO/RPO), redundancy needs, and acceptable downtime.]
* **Security & Compliance Needs:**
[textarea: Mention any specific compliance standards (e.g., GDPR, HIPAA, PCI DSS, SOC 2) or critical security concerns.]
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### III. Current Challenges & Focus Areas
* **Primary Cost Concerns:** [multi: Compute, Storage, Networking, Databases, Data Transfer, Licensing, Managed Services, Data Egress, Idle Resources, Unused Resources]
* **Specific Pain Points or Known Inefficiencies:**
[textarea: Describe any current issues, areas of suspected over-provisioning, or services known to be expensive.]
* **Areas for Deeper Dive (Optional):**
[textarea: Any specific services, accounts, or business units you want prioritized for analysis?]
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### IV. Recommendation Preferences
* **Recommendation Scope:** [dropdown: Immediate (quick wins, 0-1 month), Short-term (1-3 months), Mid-term (3-12 months), Long-term (12+ months), All scopes]
* **Level of Detail for Recommendations:** [dropdown: High-level overview, Actionable steps with estimated impact, Detailed technical guidance with code/config examples]
* **Output Format:** [dropdown: Bulleted List, Numbered Steps, Table, Executive Summary with detailed breakdown]
* **Tone of Recommendations:** [dropdown: Professional, Direct, Consultative, Concise, Technical]
* **Include Estimated Cost Savings?** [toggle: Yes, No]
* **Include Estimated Performance/Reliability Impact?** [toggle: Yes, No]
* **Prioritize Specific Types of Recommendations:** [multi: Rightsizing, Reserved Instances/Savings Plans, Spot Instances, Serverless adoption, Storage tiering, Network optimization, Database optimization, Automation, Cost governance]
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### V. Important Constraint
* **Crucially, all recommendations must be designed to reduce costs WITHOUT compromising current performance, reliability, or security posture.** If a recommendation has a potential trade-off, it must be explicitly highlighted.