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[ Case study ]

Gaming communitiesCloudflareWAF + rate limitingBot defensesEvent-scoped caching

A gaming community platform stopped paying for its own popularity: attack absorption and cache tuning on Cloudflare

Rival-community attacks and scrapers repeatedly knocked the platform offline mid-tournament; the origin autoscaled to absorb floods and the bill followed, while real players during finals saw nothing but error pages.

CLIENT a gaming community and tournament platform — FOCUS Attack surface at the edge

Cloudflare SupportMaintenance & SupportCloudflare SupportGaming communitiesRepresentative example
Client
a gaming community and tournament platform
Industry
Gaming communities
Engagement
6 weeks — systems pod — engineer
Service
Maintenance & Support / Cloudflare Support
Headline outcome
Three targeted attack windows during tournaments absorbed at the edge with players unaffected: Flooded origin → protected finals, read from Attack + traffic logs

Representative examplesEvery case study in this library is an illustrative composite of the kind of engagement we deliver — written to show our method and standards, not to name clients.

Where they started

Competitive gaming tournaments, ladders, and forums for a multi-title community run on this platform, maintained by long-serving volunteers on a modest VPS fleet and a community-funded budget. Finals nights draw the year's sharpest traffic — thousands of players checking brackets simultaneously — and rival communities target the platform with floods and scrapers. Downtime becomes forum drama within minutes, so reliability is part of the community's standing. There is no operations team; whoever is awake when something breaks is the on-call engineer.

What it was costing

Rival-community attacks and scrapers repeatedly knocked the platform offline mid-tournament; the origin autoscaled to absorb floods and the bill followed, while real players during finals saw nothing but error pages.

What they could see

  • Tournament finals went dark mid-bracket twice last season while rival communities celebrated in chat.
  • Origin autoscaling absorbed the floods, and the bill arrived weeks later as an unpleasant surprise.
  • Players during finals saw nothing but error pages, and moderators spent attack windows reassuring angry threads.
  • Scrapers hammered ladders and profiles around the clock, adding load even between attacks.
  • The volunteer who ran the servers talked about stepping back — the knowledge lived in one head.

The constraints we worked inside

  • The platform runs on a modest VPS fleet; absorbing attacks at origin is not an option, financially or technically.
  • Tournament traffic is legitimate and sharp — anti-bot rules must not punish bracket-checking players on finals night.
  • The platform is community-run with rotating volunteers; protection must be explainable and handover-able.

What had been tried before

The VPS fleet autoscaled aggressively on CPU alarms to ride out attack windows.
Scaling absorbed floods at monthly-bill speed; attacks became more expensive to survive than to endure, and the bill arrived weeks later as a surprise.
Moderators banned offending IP ranges by hand as attacks appeared in the logs.
Bans chased proxies that rotated faster than threads could be edited; moderators' nights disappeared into whack-a-mole while players still saw error pages.
A community-written script blocked datacenter network ranges at the application firewall during attacks.
It also caught players on university networks and VPNs, the blocklist grew unmanageable by hand, and every new range was a decision nobody had time to make.

What we proposed

We proposed moving the attack surface off the VPS fleet: Cloudflare proxies everything with managed DDoS rules, API rate limiting derived from recorded finals traffic, and bot defenses tuned so legitimate sharp traffic passes untouched. Leaderboards, brackets, and static assets cache aggressively with event-scoped keys; real-time lobby state stays uncached but small. Because the platform is community-run with rotating volunteers, every piece of the defense had to be explainable — attack-day runbooks written for whoever is awake, describing what Cloudflare shows, which dashboard to open, and when to escalate.

Just as important is what we ruled out, and why:

  • Migrating to a cloud provider with managed DDoS protectionThe fleet is community-funded and modest; migration cost and a higher baseline bill would outlast the attacks, and volunteers would inherit an unfamiliar platform mid-season.
  • Challenging all traffic with bot checksFinals-night players bracket-checking from phones are legitimate, sharp, and unforgiving; punishing them to stop floods trades a downtime problem for a trust problem.
  • A commercial managed-mitigation serviceCommunity volunteers need a defense they can read and operate; a black-box service would be unaffordable between incidents and unknowable during one.

How the work ran

01Attack surface at the edge

Cloudflare proxies everything with managed DDoS rules, rate limiting on the API, and bot defenses tuned so player traffic passes and floods don't reach the VPS fleet.

02Cache the ladder, not the lobby

Leaderboards, brackets, and static assets cache aggressively with event-scoped keys; real-time state stays uncached but cheap.

03Runbooks for volunteers

Attack-day runbooks — what Cloudflare shows, which dashboard to open, when to escalate — make the defense operable by whoever is awake.

Delivered by the systems pod — engineer over 6 weeks, with working increments reviewed with the client every week.

The stack, and the reasoning

Cloudflare
Floods die at the edge before reaching a VPS fleet that can't absorb them financially or technically — the edge is the affordable shield for a community budget.
WAF + rate limiting
API limits sized from recorded finals traffic let bracket-checking players through while flooding scripts exhaust themselves at the edge, unseen by origin.
Bot defenses
Tuned so legitimate sharp traffic passes — an anti-bot posture that punished finals-night players would be worse than the attacks it stops.
Event-scoped caching
Leaderboards and brackets cache per tournament so finals traffic is cheap, while real-time lobby state stays uncached but small enough to absorb.
Volunteer runbooks
Rotating volunteers need the defense operable by whoever is awake — dashboards, thresholds, and escalation written for a non-specialist at two in the morning.

What went wrong

Obstacle

The first API rate limits, set from estimated finals traffic, caught two legitimate tournament integrations mid-event and briefly broke live bracket updates during a real match.

Handled: We re-derived limits from recorded finals traffic, issued integration tokens that bypass the shared limit, and wrote the derivation into the runbook so future limits come from data.

Obstacle

Volunteer turnover meant the runbooks couldn't assume continuity — the defense as designed assumed knowledge that existed in exactly one person's head and nowhere else.

Handled: Every runbook was written by the server volunteer while a second volunteer shadowed and asked the questions a newcomer would; the pair role-tested each runbook before sign-off.

How we worked together

Cadence
A Sunday evening call when most volunteers could attend, async planning in the staff forum, and a live war-room channel during every tournament weekend.
Client side
The volunteer who ran the servers paired on every change and co-wrote the runbooks; two moderators tested player-facing behavior during finals.
Decisions
Runbook thresholds were agreed in the forum with logs attached; mid-attack calls defaulted to the runbook unless two senior volunteers overrode it live.
They provided
VPS fleet access, recorded finals traffic for rate-limit tuning, and moderator time to verify legitimate players weren't caught by the new rules.

What changed

The headline: three targeted attack windows during tournaments absorbed at the edge with players unaffectedFlooded origin → protected finals, read from Attack + traffic logs. A second check: origin scaling spend after attack absorption moved off-origin at −$310/mo.

Finals night is about the games again. Moderators spend attack windows posting updates instead of reassuring angry threads, and the volunteer who runs the servers sleeps through most incidents because the runbook covers the first ten minutes without them. The community noticed the platform simply staying up, which defused the drama that used to follow every outage. Scaling spend stopped being the treasurer's monthly surprise, and the volunteers who built the platform can step back without feeling they're abandoning it.

The result was read from Attack + traffic logs against the pre-engagement baseline over the stated window, with a guardrail check on origin scaling spend after attack absorption moved off-origin. Where platform-reported numbers and business outcomes differ, this record says which layer it is quoting.

What they own now

  • Attack-day runbooks written with the server volunteer: dashboards, thresholds, escalation order.
  • Rate-limit configuration with the recorded-finals methodology, so limits can be re-derived.
  • Event-scoped cache documentation covering what's cached per tournament and how to purge.
  • A tested handover path so a new volunteer can operate the defense without tribal knowledge.

What we would do differently

We would set API rate limits from recorded finals traffic, not estimated — the first limits caught two legitimate integrations, and tuning from real logs would have avoided the brief outage their fix caused.

Maintenance & SupportCloudflare SupportGaming communitiesCloudflare

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