Big Data 4 min read

How Zhihu’s Big Data Strategy Cuts Costs and Boosts Efficiency

This article outlines Zhihu’s big‑data cost‑reduction journey, covering its background, the FinOps‑driven financial management system, technical strategies for lowering expenses, and a forward‑looking summary of challenges and sustainable efficiency gains within the organization and industry context.

DataFunTalk
DataFunTalk
DataFunTalk
How Zhihu’s Big Data Strategy Cuts Costs and Boosts Efficiency

Background

First, a brief introduction of Zhihu. Zhihu is a high‑quality online Q&A community where users can ask, answer, like, and comment to obtain distinctive content.

FinOps‑Driven Cost Reduction

Since 2022, Zhihu has built an economic billing system called FinOps to drive internal cost‑reduction practices. FinOps emphasizes that cost‑saving and efficiency improvements are not only a development issue but also an organizational one, requiring cross‑team collaboration.

Technical Cost Reduction

Zhihu’s architecture uses a hybrid‑cloud model with services from multiple cloud providers, including IaaS, SaaS, and PaaS, which increases the difficulty of cost reduction. The challenges include numerous vendors, evolving organizational structures, and sustainability of cost‑saving measures. Gartner reports that only 11% of enterprises achieve continuous cost reduction over three years.

Summary and Outlook

While short‑term cost‑cutting initiatives can yield quick gains, long‑term sustainability requires continuous optimization and alignment with organizational changes. Zhihu aims to combine FinOps with technical improvements to achieve lasting efficiency.

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Big DataData PlatformFinOpscloud architecture
DataFunTalk
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DataFunTalk

Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.

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