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谁应该为云成本负责?_AI阅读总结 — 包阅AI

包阅导读总结

1. 关键词:Cloud Costs、Engineers、Efficiency、Business Goals、Interdisciplinary Alignment

2. 总结:文本探讨了云成本应由谁负责的问题,指出工程师控制云成本更具优势,但也存在问题,需多部门协同,建立统一的云成本数据追踪系统以提高效率。

3. 主要内容:

– 谁应负责云成本:工程师控制云成本会产生较大差异

– 工程师更了解资源使用和部署,能识别并纠正低效情况

– 参与成本控制能使项目与业务目标一致

– 工程师的实际情况:存在工程团队导致云成本过高的情况,转变需要多学科协同

– 解决措施:创建云成本数据的单一真实来源

– 采用 finops 或类似系统追踪和报告云成本

– 按用户、部门、用例、利润中心等分类

思维导图:

文章地址:https://www.infoworld.com/article/3478727/who-should-own-cloud-costs.html

文章来源:infoworld.com

作者:InfoWorld

发布时间:2024/7/30 9:00

语言:英文

总字数:783字

预计阅读时间:4分钟

评分:90分

标签:云成本,工程管理,云财务运营,成本管理,业务效率


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Why does giving engineering control over cloud costs make such a difference? For one, engineers are typically closer to the actual usage and deployment of cloud resources. When they build something to run on the cloud, they are more aware of how applications and data storage systems use cloud resources. Engineers can quickly identify and rectify inefficiencies, ensuring that cloud resources are used cost-effectively. Moreover, engineers with skin in the game are more likely to align their projects with broader business goals, translating technical decisions into tangible business outcomes.

What do the engineers think?

On the other hand, I’m often alerted to excessive cloud costs incurred by, you guessed it, the engineering teams. Engineers definitely have the potential to be the good guys of cloud computing who use these resources more cost-effectively, but most engineers are not born that way. Implementing this shift requires more than just a mandate from above; it requires interdisciplinary alignment among engineering, finance, and infrastructure teams. These groups must share a common understanding and a unified strategy around what constitutes “cloud efficiency.”

The first step is to create a single source of truth for all cloud cost data (PaaS and SaaS), to ensure consistency and transparency across departments. This means employing finops or finops-like systems that can track and report on cloud costs by user, department, use case, profit center, etc.