Architectural Practice Of Building A High-concurrency Japanese Cs Server Cloud Platform From Scratch

2026-03-18 09:37:07
Current Location: Blog > Japanese Cloud Server

1.

breakdown of architectural goals and requirements

(1) project background: cs game (multiplayer battle) for japanese players, aiming to achieve a stable 20k concurrent connections;
(2) core requirements: low latency (average rtt < 50ms), high availability, anti-ddos, and controllable costs;
(3) scalability: nodes can be expanded horizontally, and the load balancer supports session persistence and forwarding strategies;
(4) monitoring and alarming: tps, number of connections, packet loss, cpu, memory, and network bandwidth need to be reported at the minute level;
(5) maintainability: automated deployment (ansible/terraform), rollback release process and rolling upgrade.

2.

network and host selection strategies

(1) region selection: tokyo computer room (ap-northeast-1 or jp physical computer room) is preferred to reduce player rtt;
(2) instance type: recommended hybrid solution: the control layer uses c5.large (c5.xlarge) cloud host, and the game process is placed in a dedicated vps with independent public network bandwidth;
(3) disk and io: use nvme or ssd (raid1) to ensure that log and playback writing are not blocked;
(4) bandwidth and network card: at least 1gbps dedicated line or 500mbps exclusive bandwidth. for multiple nodes, the peak outbound bandwidth needs to be measured;
(5) operating system: debian 11 / ubuntu 22.04 minimal installation, using kernel network parameter presets.

3.

core server configuration and examples

(1) game logic server (example): 4 cores, 8gb memory, 2 x 500gb nvme, 1gbps bandwidth;
(2) gateway/forwarding layer (example): 8 cores 16gb, bgp anycast ip, 2gbps outbound, configured with lvs + keepalived for layer 4 load balancing;
(3) session/authentication server: 2 cores 4gb, redis cluster (3 nodes), using aof for persistence;
(4) database: master-slave mysql 8.0, master 8vcpu/32gb/1tb ssd, semi-sync enabled;
(5) logging/monitoring: prometheus + grafana, install node_exporter and black box detection on the node.

4.

network tuning and operating system level optimization

(1) kernel parameters: net.core.somaxconn=65535, net.ipv4.tcp_max_syn_backlog=65535;
(2) tcp tuning: enable tcp_tw_reuse, tcp_tw_recycle (pay attention to compatibility) and tcp_fin_timeout=30;
(3) file handle: ulimit -n 200000, system-level fs.file-max=500000;
(4) syn cookies and conntrack: enable tcp_syncookies=1 and adjust the conntrack table size to prevent overflow;
(5) hardware queue: adjust network card interrupt binding (irqbalance or manual binding) and rss to improve multi-core parallel processing.

japanese cloud server

5.

cdn, dns and ddos defense practice

(1) domain name and anycast dns: use anycast dns to improve resolution stability, and a low ttl value facilitates switching;
(2) cdn strategy: static resources (launchers, patches) go through cdn; real-time game connections are directly connected or through intelligent scheduling nodes;
(3) ddos defense: basic use of cloudflare spectrum/akamai or domestic third-party cleaning (access to cleaning center on demand);
(4) edge protection: enable rate limiting, blacklisting, waf rules and behavioral analysis at the edge;
(5) traffic escape and cleaning: set the bgp traffic absorption policy to direct abnormal traffic to the cleaning pool and keep legitimate connections uninterrupted.

6.

real case: japanese cs gimbal online and performance data

(1) case introduction: an fps manufacturer deployed a ptz in a tokyo computer room, with a target peak concurrency of 20k;
(2) deployment plan: 4 game partition nodes + 2 gateway load balancing + redis3 nodes + mysql master-slave + cdn to distribute static resources;
(3) stress test results: use self-developed stress test tools to simulate player connections and udp package interactions;
(4) optimized data: average rtt 38ms, packet loss rate < 0.2%, and stable support for 22k concurrent connections;
(5) lessons learned: ignoring conntrack in the early stage caused congestion in the middle layer. the problem was solved after adding netfilter space.

7.

configuration and performance comparison table (sample data)

node cpu memory bandwidth peak concurrency average rtt
gateway (2 units) 8 vcpus 16 gb 2 gbps 22,000 38 ms
game server (4 units) 4 vcpus 8gb 1 gbps 5,500/unit 35-45 ms
redis (3 units) 4 vcpus 16 gb 500mbps n/a <50 ms

8.

post-launch operation and maintenance and continuous optimization suggestions

(1) daily monitoring: build a real-time dashboard, set traffic thresholds and automatic expansion triggers;
(2) disaster recovery drills: regularly conduct ddos fake load & node failover drills;
(3) automation: use ci/cd, blue-green or canary release to reduce version risks;
(4) cost control: expand and shrink capacity on demand and record single traffic costs, and optimize hot and cold data stratification;
(5) iterative optimization: continuously adjust scheduling strategies, network parameters and cleaning rules based on real user data.

Latest articles
Countermeasures And Alternatives When Japan’s Native Ip Login Entrance Changes Frequently
Load Balancing Design And Practice Of Vietnam Vps Cn2 In Multi-site Deployment
The E-commerce Platform Adapts To The Optimization And Cache Configuration Of Taiwan Cloud Virtual Host Server
Comparison Of Vpn And Accelerator. The Actual Test Tells You How To Play On The Vietnam Server. Which Solution Is More Stable?
Security Protection Remote Locking And Data Protection Measures When Korean Native Ip Card Is Lost Or Stolen
Instructions On The Implementation Steps Of Performance Testing And Security Verification After Customizing The Us High-defense Server
The Practical Value Of South Korea’s Unlimited Content Cloud Server In Terms Of Overseas Communication Efficiency In The Media Distribution Scenario
How Does The 255 Ip Korean Website Server Combine With Cdn To Improve The Page Loading Experience?
From The Perspective Of Maintenance And Operation, Which Singapore Cloud Server Is The Best, Including Monitoring And Alarm Design
Xiaomi 4 Japan Serverless Problems Encountered By Overseas Users Returning To China And Their Solutions
Popular tags
Related Articles