DevOps Services in Seoul, South Korea

Gaming / Entertainment / DevOps / Seoul

A Seoul-based gaming company (KRW 2.8T annual revenue, operating 6 live-service games with 45M monthly active users across Korea, Japan, Southeast Asia, North America, and Europe, with 2,400 employees and infrastructure spanning 4 cloud providers across 12 regions) needed a DevOps platform to unify game service operations that had grown chaotic through rapid expansion. Each game had been built by a separate studio team with its own technology preferences, creating an infrastructure management nightmare. Core challenges: (1) Infrastructure fragmentation — 6 games running on: AWS (3 games), NHN Cloud (2 games, Korean domestic), and GCP (1 game) — with the newest game also using Azure for specific regions. Each game team had independently chosen cloud providers, orchestration tools (2 using Kubernetes, 2 using Docker Swarm, 2 using bare EC2/VMs), monitoring (Datadog, Grafana, CloudWatch, custom solutions), and deployment processes (ranging from automated CI/CD to manual SSH-and-deploy). The platform engineering team (8 people) unable to support 6 different infrastructure approaches — incidents in one game's infrastructure requiring expertise that only that game's original developers possessed. When the lead DevOps engineer for the most popular game left the company, the team couldn't effectively manage that game's infrastructure for 3 months until a replacement was hired and trained. (2) Game launch scalability — new game launches in Korea were make-or-break events. The company's most recent launch: 480,000 concurrent players in the first 30 minutes, overwhelming infrastructure provisioned for 200,000. Login queues reaching 90 minutes, in-game latency spiking to 400ms (unplayable for competitive gameplay), and server crashes in 3 of 8 game zones. Korean gaming media and community reaction was immediate and brutal — the game's app store rating dropping from 4.5 to 2.1 within 24 hours, with player reviews focusing on "server issues" rather than game quality. The launch recovery took 2 weeks of 24/7 crisis engineering. Estimated revenue impact: KRW 42B in lost first-month revenue (versus projections) as players abandoned the game during its critical launch window. (3) Live service update velocity — successful live-service games requiring frequent content updates to maintain player engagement: weekly balance patches, bi-weekly content drops, and monthly major updates. Each update requiring: client builds (iOS, Android, PC — 3 platforms per game), server-side deployment across all regions, content delivery (game assets ranging from 200MB to 2GB per update distributed to millions of devices), and real-time monitoring for update-related issues. The company's fastest game team deploying content updates in 6 hours (acceptable). The slowest taking 72 hours per update — including 12 hours of planned maintenance (during which players couldn't play) and 24-48 hours of stabilisation where the team monitored and fixed issues. Maintenance windows directly correlated with player engagement drops — analytics showing 8-15 percent of players not returning after each maintenance period. (4) Anti-cheat and security — Korean gaming having a significant cheating ecosystem with commercial cheat software sold online. The company's anti-cheat systems requiring: real-time cheat detection (processing player actions and flagging anomalies), rapid response (deploying anti-cheat updates within hours of new cheats being detected — waiting days meant the entire server population was affected), and security infrastructure that was as agile as the cheat developers. Current security update process: 5-7 day deployment cycle for anti-cheat updates — during which new cheats operated freely, degrading the experience for legitimate players and causing churn. (5) Cost chaos — multi-cloud costs totalling KRW 38B annually (approximately USD 28M) with zero cross-game visibility. Each game team managing its own cloud budget with different cost management practices. Two games discovered to have been running development environments in production 24/7 for over a year — combined waste estimated at KRW 2.4B. No cost optimisation across games — if Game A needed burst capacity during an event while Game B was in a low-activity period, there was no mechanism to shift resources. Reserved instance purchases made independently by each team, often at suboptimal commitment levels.

We built a unified game service platform over 12 weeks — standardising infrastructure across all 6 games while preserving game-specific customisation. (1) Unified Kubernetes platform: one platform, six games. Platform standardisation: all 6 games migrated to Kubernetes — EKS for AWS-hosted games, GKE for GCP, and a custom Kubernetes deployment on NHN Cloud for Korean-domestic games. Common platform layer providing: cluster management, networking, service mesh (Istio), ingress, cert management, and observability — game teams focusing on their game servers rather than infrastructure plumbing. Multi-cloud management: Terraform modules parameterised per cloud provider — the same game deployment manifest working across AWS, GCP, NHN Cloud, and Azure with cloud-specific translations handled by the platform. Platform team managing cloud-provider complexity so game teams didn't have to. Game isolation: each game running in dedicated Kubernetes namespaces with resource quotas, network policies, and separate monitoring dashboards — preventing one game's infrastructure issues from affecting others. Shared infrastructure (service mesh, ingress controllers, monitoring) managed centrally. Auto-scaling: game-specific auto-scaling profiles — different games having different scaling characteristics. MMORPG: scale server instances based on concurrent players per zone. Battle royale: scale match servers based on matchmaking queue depth. Mobile: scale API servers based on request rate. KEDA (Kubernetes Event-Driven Autoscaler) handling game-specific scaling triggers. (2) Launch-ready infrastructure: elastic scaling for game launches. Launch playbook: standardised launch infrastructure process — pre-provisioning 3x expected peak capacity, with auto-scaling configured to add 50 percent more within 5 minutes. Load testing: automated load testing simulating launch-day player behaviour — 500K concurrent login simulation, zone transition load, and peak combat scenario. Tests running weekly for 3 months pre-launch, with results driving infrastructure sizing decisions. Progressive onboarding: phased launch architecture — pre-registration players receiving staggered access (10K, 50K, 200K, 500K, unlimited) over 48 hours, with real-time monitoring confirming infrastructure stability at each stage before opening the next. Eliminated the "everyone logs in at once" problem. Regional deployment: game servers deployed across regions with geographic routing — Korean players to Seoul region, Japanese to Tokyo, SEA to Singapore, NA to US-West, EU to Frankfurt. Cross-region matchmaking maintaining latency requirements while maximising player pool. (3) Zero-downtime game updates: deploy without maintenance windows. Blue-green game servers: game updates deployed using blue-green strategy — new version (green) deployed alongside current version (blue). Players completing current sessions on blue servers while new sessions routed to green. Once all blue sessions naturally end (typically 2-4 hours), blue infrastructure decommissioned. Zero planned maintenance: players never seeing "server under maintenance" messages. Content delivery: game asset updates distributed through CDN (CloudFront, Cloud CDN) with differential patching — clients downloading only changed assets rather than full packages. Average update size reduced from 1.2GB to 180MB through differential distribution. Client update pipeline: automated build pipeline for iOS, Android, and PC clients — code merged to release branch triggering: build for all platforms, automated testing (functional, performance, compatibility), app store submission (automated for Google Play, semi-automated for Apple App Store), and staged rollout (1 percent, 10 percent, 50 percent, 100 percent). Anti-cheat rapid deployment: security updates deployable within 2 hours of detection — separate fast-track pipeline bypassing normal content validation (security changes don't affect game balance) while maintaining security scanning. Anti-cheat detection models updated through server-side deployment requiring zero client updates. (4) Unified observability: cross-game operational intelligence. Monitoring platform: Datadog as the unified monitoring platform across all 6 games and all cloud providers — standardised dashboards, alerting, and APM replacing 4 different monitoring solutions. Game-specific dashboards: each game having a dedicated dashboard showing: concurrent players (by region, by platform), server performance (CPU, memory, network per game zone), game-specific metrics (match completion rate, transaction success rate, latency percentiles), and player experience metrics (login success rate, loading times, disconnection rate). Cross-game operations: central operations dashboard showing all 6 games simultaneously — enabling the platform team to identify cross-game issues (cloud provider problems, network issues) and coordinate responses. Intelligent alerting: game-context-aware alerting — a 20 percent spike in concurrent players during a scheduled event is normal (suppress alert), while the same spike on a random Tuesday is anomalous (investigate). Alert fatigue reduced from 340 weekly alerts across all games to 45 actionable alerts. (5) Cost optimisation: cross-game efficiency. Cost visibility: every cloud resource tagged with game, environment, team, and purpose — monthly cost reports by game enabling game directors to understand their infrastructure economics. Cost-per-player: a new metric — infrastructure cost per monthly active user calculated per game. Ranging from KRW 380 (most efficient) to KRW 1,240 (least efficient) — the analytics identifying specific optimisation opportunities for high-cost games. Cross-game resource sharing: Spot/Preemptible instances shared across games — when one game's demand dropped, capacity automatically available to other games. Event coordination: game events (seasonal events, new content releases) scheduled with infrastructure awareness — avoiding multiple games launching events simultaneously and competing for cloud capacity. Reserved capacity: consolidated Reserved Instance purchasing across all games and cloud providers — bulk purchasing achieving 42 percent average discount versus the 15-30 percent individual game teams had negotiated independently.

Results over 12 months. Game launch: the next major game launch handled 620K concurrent players (versus 480K at previous launch) with zero login queues, sub-80ms latency, and 99.99 percent uptime. App store rating maintained at 4.4 during launch week (versus 2.1 at previous launch). First-month revenue exceeding projections by 18 percent (KRW 68B versus KRW 58B projection) — attributed to stable launch experience driving player retention. Update velocity: maintenance-window game updates eliminated across all 6 games — player re-engagement improving 8-15 percent per update cycle. Update deployment time: fastest game maintained at 2 hours, slowest game improved from 72 hours to 4 hours. Anti-cheat response time from 5-7 days to 2 hours — player reports of cheating declining 62 percent. Platform unification: 6 infrastructure approaches reduced to 1 unified platform. Platform team effectiveness improved 4x — 8 engineers now managing all 6 games versus previously being unable to support 6 different approaches. Key-person risk eliminated — any platform engineer can manage any game's infrastructure because the platform is consistent. Reliability: cross-game average uptime from 99.6 percent to 99.95 percent. Production incidents from 12 per month (across all games) to 3 per month. MTTR from 2.8 hours to 18 minutes — automated remediation handling 72 percent of incidents. Cost: total cloud costs from KRW 38B to KRW 26B — 32 percent reduction. Cost-per-player optimised across all games — highest cost game reduced from KRW 1,240 to KRW 680 per MAU. Waste elimination: development environments, unused resources, and oversized instances identified and corrected — KRW 4.8B in waste eliminated. Reserved capacity savings: consolidated purchasing saving KRW 3.2B annually versus previous independent team purchases. Financial impact: launch revenue improvement KRW 10B (incremental versus projection); update retention improvement KRW 8.4B (estimated from reduced churn per update); cloud savings KRW 12B; anti-cheat improvement KRW 2.8B (estimated from reduced player churn due to cheating); engineering productivity KRW 3.6B. Total annual impact: KRW 36.8B (approximately USD 27.5M). Engagement cost: KRW 1.2B (approximately USD 900K). Annual platform management: KRW 380M (approximately USD 285K). ROI: 30.7x first year.