traffic scheduling

Alibaba Cloud Infrastructure

Mar 11, 2025 · Cloud Native

Implementing Per‑User Rate Limiting with Alibaba Cloud Service Mesh (ASM) Traffic Scheduling Suite

This article explains how to use Alibaba Cloud Service Mesh (ASM) traffic‑scheduling suite to implement rich traffic‑control scenarios such as per‑user rate limiting, request queuing and priority scheduling in a Kubernetes environment, providing step‑by‑step deployment, configuration and verification instructions.

ASMRate Limitingcloud native

0 likes · 14 min read

Implementing Per‑User Rate Limiting with Alibaba Cloud Service Mesh (ASM) Traffic Scheduling Suite

DeWu Technology

Mar 15, 2023 · Operations

Blue-Green Deployment: Process, Traffic Scheduling, and Component Support

The article explains blue‑green deployment as a release strategy that improves large‑scale microservice rollouts by extracting traffic from a blue cluster, incrementally shifting it to a green environment, using global and local traffic scheduling, central metadata, compatible components, and careful considerations such as idempotent consumption and version compatibility.

Continuous Deliveryblue-green deploymentmicroservices

0 likes · 12 min read

Blue-Green Deployment: Process, Traffic Scheduling, and Component Support

iQIYI Technical Product Team

Sep 17, 2021 · Cloud Computing

iQIYI Full‑Network Automatic Traffic Scheduling System: Architecture, Implementation, and Performance Evaluation

iQIYI’s SDN‑based full‑network automatic traffic‑scheduling system dynamically balances inter‑ and intra‑province traffic using BGP and policy routing, integrates monitoring, flow collection, DFS backup‑path calculation, and real‑time Kafka/Flink processing, cutting fault‑handling time to minutes and boosting link availability to 99.9999 % while preparing for programmable‑switch and SR‑based extensions.

BGPNetwork AutomationReal-time Monitoring

0 likes · 11 min read

iQIYI Full‑Network Automatic Traffic Scheduling System: Architecture, Implementation, and Performance Evaluation

Efficient Ops

Oct 29, 2019 · Operations

How Xiami’s SRE Team Revamped Monitoring to Cut Alert Noise by 90%

Xiami’s SRE team overhauled its monitoring system by categorizing alerts, introducing fault, generic, and basic monitoring, optimizing alert paths with stream processing, and leveraging Alibaba’s traffic scheduling platform, dramatically reducing daily noise from thousands of alerts to a manageable few hundred critical notifications.

AlibabaSREalert optimization

0 likes · 9 min read

How Xiami’s SRE Team Revamped Monitoring to Cut Alert Noise by 90%

Architects' Tech Alliance

Mar 25, 2019 · Cloud Computing

Tencent Cloud’s Intelligent Traffic Scheduling and High‑Redundancy Architecture Mitigate Shanghai Fiber‑Cut Outage

On March 23, a construction accident severed a fiber optic cable in Shanghai, causing widespread internet disruptions, but Tencent Cloud’s intelligent traffic scheduling system and four‑fiber‑three‑router high‑redundancy architecture automatically rerouted traffic, restoring services within two minutes and demonstrating robust cloud network resilience.

BGPHigh Availabilitycloud computing

0 likes · 6 min read

Tencent Cloud’s Intelligent Traffic Scheduling and High‑Redundancy Architecture Mitigate Shanghai Fiber‑Cut Outage

Alibaba Cloud Infrastructure

Dec 8, 2017 · Operations

Alibaba Edge Network Traffic Optimization for Double 11: NetO System and BGP/SDN Strategies

The article explains how Alibaba’s Edge Network, using the NetO intelligent traffic scheduling system, combines real‑time internet quality monitoring, SDN‑enhanced BGP routing, and extensive peering to optimize both inbound and outbound paths for millions of global Double 11 shoppers, ensuring a seamless user experience.

AlibabaBGPEdge Network

0 likes · 5 min read

Alibaba Edge Network Traffic Optimization for Double 11: NetO System and BGP/SDN Strategies

Efficient Ops

Oct 22, 2015 · Operations

Unlock Hidden Savings: Optimizing Multi‑Data Center Bandwidth Costs

This article examines the characteristics and billing models of multi‑data‑center networks, analyzes external traffic patterns, identifies challenges in optimizing Internet‑facing bandwidth, and proposes practical scheduling strategies to better utilize idle bandwidth and reduce carrier costs.

bandwidth optimizationmulti-data centeroperations

0 likes · 13 min read

Unlock Hidden Savings: Optimizing Multi‑Data Center Bandwidth Costs