How Didi’s Elastic Cloud Scales Millions of Nodes with Advanced k8s Scheduling

This article details Didi’s Elastic Cloud container platform, explaining its Kubernetes‑based scheduling architecture, custom pre‑filter and scoring extensions, service‑profiling driven placement, rescheduling mechanisms, rule‑engine integration, upgrade strategies from k8s 1.12 to 1.20, and the stability framework that keeps a massive multi‑tenant fleet running reliably.

Cluster UpgradeElastic CloudScheduling

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How Didi’s Elastic Cloud Scales Millions of Nodes with Advanced k8s Scheduling

Architecture & Thinking

Mar 19, 2023 · Cloud Native

How Baidu Feed Achieved Serverless Scaling with Multi‑Dimensional Service Profiles

This article explains how Baidu's Feed recommendation backend adopted a serverless approach, building elastic, traffic, and capacity portraits for each micro‑service to enable predictive, load‑feedback, and timed scaling, thereby reducing resource waste and operational costs in a cloud‑native environment.

Cloud NativeServerlessService Profiling

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How Baidu Feed Achieved Serverless Scaling with Multi‑Dimensional Service Profiles

Baidu Tech Salon

Mar 15, 2023 · Industry Insights

How Baidu Feed Scales Millions of Users with Serverless: A Multi‑Dimensional Elasticity Blueprint

This article details Baidu Feed's serverless transformation, describing how multi‑dimensional service profiling (elasticity, traffic, capacity) and three elastic strategies—predictive, load‑feedback, and timed—enable automatic scaling that reduces resource waste while maintaining 24/7 stability for billions of users.

Baidu FeedCloud NativeOperations

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How Baidu Feed Scales Millions of Users with Serverless: A Multi‑Dimensional Elasticity Blueprint

Baidu Geek Talk

Mar 15, 2023 · Industry Insights

How Baidu Feed Scaled to Serverless with Multi‑Dimensional Service Profiles

This article explains how Baidu Feed’s backend services were transformed to a serverless model by building elastic, traffic, and capacity profiles for each service, enabling predictive, load‑feedback, and timed scaling strategies that automatically adjust resources with traffic fluctuations, reduce costs, and maintain stability.

Cloud NativeServerlessService Profiling

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