High-load SRE for iGaming, sportsbook, and FinTech. Banking-grade reliability — 99.99% under 10× spikes — after 5+ years on national-scale banking infra.
Stack
01 — What we fix
504s on kickoff are not a traffic problem. They are an architecture problem.
iGaming and sportsbook platforms die in the same minute the market spikes. We design for 10× surges: connection pooling, queue backpressure, HPA/KEDA, and failover that does not wait for a human. The SLA is 99.99% — including the match, the tournament, and the bonus drop.
Best for
Sportsbooks and casinos that freeze or throw 504s when traffic actually arrives.
Most platforms burn 25–40% of AWS on idle capacity they are afraid to turn off.
Oversized nodes kept “just in case,” always-on staging, reserved instances bought for the wrong shape of load. We right-size, move burst to Spot where it is safe, and put real autoscaling in front of the fear. Typical result: 30%+ off the bill without touching product code.
Best for
CEOs and CTOs spending five figures a month who have never seen a waste number in dollars.
If scale-out takes minutes, the spike has already become an incident.
KEDA and event-driven triggers, warm pools, and scale policies tied to real match and session signals — not CPU averages from ten minutes ago. The platform grows before the queue does.
Best for
Teams whose HPA reacts after the 504s have already started.
You should not need a maintenance window to ship on a Saturday.
ArgoCD GitOps with canary and blue-green. Progressive delivery, automatic rollback, and a pipeline your team can run without a hero on call. Releases stop being the riskiest hour of the week.
Best for
Platforms that still freeze the lobby to deploy, or roll back by hand.
Know the incident before the player support queue does.
Prometheus, Grafana, Datadog — wired to the metrics that matter on a sportsbook: latency, error budget, wallet, payment intake. Alerting, runbooks, and incident response that pages the right person in minutes, not the whole Slack channel.
Best for
Teams who still find out from affiliates, Telegram, or a spike in chargebacks.
02 — Production work
Not a tutorial cluster. Banking-grade reliability, then the same discipline on iGaming, sportsbook, and FinTech platforms that cannot go dark when traffic arrives.
001
Mission-critical banking infrastructure for 20M+ users, more than five years in production. Transaction load that does not get a second chance. Kubernetes, CI/CD, and observability under a financial-grade reliability bar — the same discipline we now put under iGaming and FinTech platforms that cannot go dark on match day.
002
Replaced reactive HPA with event-driven KEDA, warm capacity, and scale policies tied to real traffic signals. The platform stopped throwing gateway errors when sessions multiplied. Scale-out moved from minutes to under 20 seconds.
003
Oversized always-on clusters, staging that matched production 24/7, reserved capacity bought for a workload that no longer existed. Right-sizing, Spot for burst, and lifecycle rules. The bill dropped without a single application change.
03 — Why it works
I spent more than five years keeping payment infrastructure online for 20 million bank customers. Most SRE teams learn Kubernetes on a laptop. The gap between “it works in staging” and “it survives match day” is something you only fully understand after a real incident at national scale.
When I look at an iGaming AWS bill, I am not running a cost tool and reading the output. I am looking for the same patterns I spent years fixing in banking: over-provisioned nodes nobody questioned, idle capacity kept “just in case,” monitoring gaps that hide a slow leak until peak traffic turns it into 504s.
I started OneX Systems to bring that banking-grade reliability to iGaming, sportsbook, and FinTech platforms growing faster than their infrastructure can handle.
LinkedIn profile04 — Engagement
We look at AWS and Kubernetes with zero load on your developers and no admin access. You describe match-day pain and the bill. We map what is actually breaking.
A prioritized diagnostic: exact cloud-waste numbers in dollars, the stability fixes that stop 504s, and a sequence your CTO can take to the board. Not a 40-slide deck.
We run the stabilization sprint, then stay on as a dedicated high-load SRE pod. 99.99% uptime under retainer — match day included. Your team keeps ownership of the product.
05 — Infra pulse
Four questions. A recommended engagement. No email required to see the diagnosis.
06 — Questions
07 — Start
Match-day 504s, idle AWS spend, late autoscaling. A 15-minute intro — read-only, no admin access, no load on your developers. You get a concrete assessment, not a generic deck.
Reply within 24 hours
contact@onex.systems