DevOps Consulting for Gaming
Players are the harshest SLO there is: 100 ms of extra latency is a worse game, a queue that stalls on launch night is a refund thread, and a patch that kicks everyone mid-match is a community-management incident. Live-service infrastructure has to do three hard things at once — run stateful game servers globally, scale with player counts that swing by the hour, and ship updates continuously to a system that is never allowed to close. All three are platform problems, and all three are buildable.
Launch night melts the backend
The marketing worked, concurrent players blow past every projection, and matchmaking queues stall while the fleet scrambles to boot servers — the community’s first impression of your game is a queue screen.
How we fix it — Load tests at multiples of projected concurrency before launch, game-server fleets on Kubernetes with Agones-style allocation and autoscaling on player demand, warm pre-provisioned capacity for the window itself, and a launch-day runbook that has been rehearsed rather than improvised.
Players outside your home region get a worse game
Single-region hosting means 150–250 ms for half the world — and in anything competitive that is not a degraded experience, it is an unplayable one. Word gets around, region by region.
How we fix it — Multi-region server fleets managed as one GitOps codebase: identical deployments per region, latency measurements feeding matchmaking decisions, and regional capacity that scales independently — so opening a new geography is a config change, not a project.
Every patch is a maintenance window
Live-ops wants weekly content drops; the backend needs downtime to ship them. Every window is lost play time, lost revenue and an angry forum thread — so drops slip, bundle up and get riskier.
How we fix it — Session-aware progressive delivery: new sessions route to updated servers while running matches drain gracefully on the old version, with automatic rollback wired to server health. Backend and content updates ship continuously; nobody gets kicked mid-game.
Infrastructure cost swings as wildly as player counts
Fleets sized for the evening peak run all night; a content drop doubles concurrency for a week and the bill stays doubled after the players leave. Nobody can say what a concurrent player costs to serve.
How we fix it — Autoscaling that follows concurrency down as aggressively as up, spot capacity for stateless services, right-sizing from real utilisation, and cost per concurrent player tracked as a metric — so live-ops decisions come with a unit cost attached.
Reliability players can feel in their hands.
Gaming has no auditor — the standard is enforced nightly by the player base, in latency, queue times and uptime during the hours that matter. We engineer to the numbers players actually experience.
- Latency by region, measuredReal per-region latency tracked as an SLO, driving where server fleets live and when a new region is worth standing up.
- Session-aware releasesRollouts that respect running matches — drain, don’t drop — with automatic rollback wired to server health.
- Launch and drop readinessLoad tested at multiples of projection before every launch or major content drop, with warm capacity for the spike.
- Concurrency economicsFleets that scale with players in both directions, and a cost-per-player number live-ops can plan against.
Two free tools, no signup: estimate your cloud waste with the cost calculator, or score your production posture on the security scorecard. Fixed-scope packages and prices are on the pricing page.
Frequently asked
Can stateful game servers really run on Kubernetes?
Yes — this is exactly what Agones was built for: game-server allocation, protected running sessions and graceful drain as first-class Kubernetes concepts. The hard work is in the fleet autoscaling, node tuning and rollout discipline around it, which is precisely the layer we build and operate.
Can you help with a launch?
Yes, and earlier is better — a couple of months out leaves time to fix what the load tests find. We test at multiples of your projected concurrency with realistic connection patterns, tune autoscaling and warm capacity for the window, and put a rehearsed runbook (and, if you want, us) on call for the night itself.
We are a small studio with no dedicated infrastructure team. Is this overkill?
The opposite — small studios feel backend problems hardest, because one engineer holds the fleet together between gameplay tasks. We set the platform up to run itself day to day: GitOps deploys, autoscaling, alerts only when players would notice, runbooks for the rest. Live-service infrastructure without a live-service headcount.
Do you also handle the non-game backend — accounts, store, telemetry?
Yes. Meta-services are where many outages actually start: login storms at peak, store spikes on drop day, telemetry pipelines that lag. They run as standard Kubernetes workloads with the same GitOps, autoscaling and observability as the game-server fleet — one platform, not two.
Ship the next season without a maintenance window.
A free audit of your game backend — latency posture, fleet scaling, deploy pipeline and cost per player — with a prioritized fix list ahead of your next launch or major drop.
NO SIGNUP · NO OBLIGATION · REPORT IS YOURS TO KEEP