Load Balancing Practice Of Alibaba Singapore Line Cn2 Connection In Multi-region Deployment

2026-03-11 10:44:53
Current Location： Blog > Singapore CN2
singapore cn2

1.

background and goals: why choose alibaba singapore cn2 line

- goal: build a low-latency, high-availability multi-region access architecture between southeast asia and mainland china. - reason: cn2 dedicated line is optimized for mainland exports to reduce cross-border jitter and packet loss. - audience: games, live video broadcasts and cross-border saas, which are sensitive to latency and stability. - constraints: cost, compliance and ddos protection requirements. - indicators: p95 latency <120ms, availability >99.95%, peak concurrent connections of 100,000.

2.

architecture design: multi-region load balancing overall plan

- region selection: three-point deployment in singapore (main), hong kong (backup), and mainland china (edge ​​acceleration). - link selection: alibaba cloud singapore's cn2 is exported to china telecom's backbone, and hong kong uses direct connection to isp. - load balancer: the external network uses alibaba cloud slb + nginx + keepalived for seven-layer scheduling and session maintenance. - scheduling strategy: hybrid scheduling based on geography + rtt (delay) + weight, giving priority to cn2 low-latency links. - health check: http 200, bandwidth threshold and custom script three-layer health detection.

3.

server and network configuration examples (real configuration examples)

- singapore front end (instance a): ecs.s6.large, 8 vcpu, 16gb ram, system disk 100gb ssd, public network bandwidth 1gbps. - hong kong standby (instance b): ecs.c6.large, 4 vcpu, 8gb ram, public network bandwidth 500mbps. - edge node in mainland china (instance c): self-owned idc, 16-core server, 32gb memory, 10gbps cn2 dedicated line access to the network. - load balancing strategy: slb setting weight (singapore: 70, hong kong: 20, mainland edge: 10), backend nginx upstream keepalive 256. - security and soft current limiting: kernel parameters net.netfilter.nf_conntrack_max=524288, tcp_syncookies=1, cloud acl speed limit 200 conn/s per ip.

4.

performance data and comparison (example table)

- the following table is a comparative test: the average delay and packet loss rate of singapore cn2 and ordinary public network links from guangzhou, shanghai, and sydney.
test point link type average delay (ms) packet loss rate (%) bandwidth(mbps)
guangzhou cn2 45 0.2 600
guangzhou public network 120 1.8 300
sydney cn2 95 0.5 400
shanghai cn2 50 0.3 500
- conclusion: cn2 has obvious advantages in delay and packet loss for the path from mainland china to singapore, and its peak bandwidth capability is also more stable.

5.

real case: cross-border acceleration and ddos response of a live broadcast platform

- project description: a live broadcast platform has 500,000 daily active users and 30,000 concurrent users. the users are distributed in china and southeast asia. - plan implementation: the main link uses alibaba singapore cn2, supplemented by cdn + edge nodes for pull acceleration. - ddos protection: enable alibaba cloud anti-ddos pro, set the peak cleaning threshold to 100gbps, and the connection threshold to 20 million. - effect: in a peak 25gbps attack, the platform availability was maintained at 99.98%, and the audience dropout rate was <0.5%. - operation and maintenance points: practice the switching process in advance, slb health detection and bgp backup routing automatically take effect, logs and traffic mirroring are used to quickly determine the type of attack.

6.

best practices and optimization suggestions

- link monitoring: deploy real-time sla monitoring (rtt, packet loss, jitter) and link it with the scheduler. - intelligent scheduling: use weight-based real-time adjustment to dynamically switch traffic to low-latency nodes. - cdn cooperates with the origin site: cold data is placed in cdn, and hot traffic is kept in cn2 back to the origin to reduce return delay. - ddos policy: layered protection (cloud cleaning + local threshold + business acl), and configure a false positive fallback plan. - cost control: purchase bandwidth according to traffic peaks and combine it with on-demand elastic instances to handle burst traffic.

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