Game Development Software and Backend Infrastructure

Custom backend infrastructure for game studios who need matchmaking, leaderboards, in-game economy, live ops tooling, and player analytics, built to scale with player count without the studio needing to become a distributed systems shop.

Game engines handle rendering and physics. They don't handle the server-side infrastructure that multiplayer games, live service games, and any game with social features require. We build that layer.

  • Real-time matchmaking that scales with concurrent player count without re-architecture

  • Leaderboards and ranking systems handling millions of entries with low-latency reads

  • In-game economy with virtual currency, item management, and transaction ledger

  • Live ops tooling so game designers can configure events, sales, and content drops without engineering involvement

The problem

Sound familiar?

  • Matchmaking working acceptably at 1,000 concurrent players but falling apart at 50,000 because it was built as a prototype and never redesigned for scale?

  • Live ops events managed by engineers making direct database changes because there is no tooling that lets the game team configure and schedule events without a code deploy?

Short answer

RaftLabs builds custom game backend infrastructure for game studios: real-time matchmaking, leaderboards, in-game economy, live ops tooling, player analytics, and anti-cheat. Game engines render the client; they do not run the servers a live-service game needs. We build that layer, load-tested to your concurrency target. A validated v1 ships in 10 to 16 weeks at a fixed cost.

Game engines give you the client. They don't give you the backend.

Unity and Unreal handle the client-side experience well. They don't provide server infrastructure for player matching, persistent world state, social features, economy management, or the live ops tooling that makes a game a live service rather than a shipped product.

Studios typically build this infrastructure piece by piece: a quick matchmaking prototype here, a Redis leaderboard there, a manually configured event system that only engineers can update. That approach creates technical debt that compounds as the player base grows and live service requirements increase. The matchmaking that worked at launch can't handle the concurrent player count at peak. The event system that needed an engineer to update becomes a bottleneck for the game team's cadence.

RaftLabs builds the backend infrastructure properly from the start, designed for the concurrency target, with the tooling the game team needs to operate the live service independently.

01 Diagnosis

Where game backends usually break

  1. 01
    Problem

    Matchmaking built as a prototype, never redesigned for scale

    Solution

    The matchmaking that worked at 1,000 concurrent players falls apart at 50,000 because it was built as a prototype and never redesigned. Queue management, server allocation, and latency targets are afterthoughts. We rebuild matchmaking around your real concurrency target with proper queue management and server allocation, load-tested before launch. The outcome is launch day without the queue collapse.

  2. 02
    Problem

    The economy runs on a spreadsheet that knows the design, not the play

    Solution

    An in-game economy built without a transaction ledger and server-side validation is hard to tune. The spreadsheet knows the economy as designed; it has no knowledge of the economy as played. When the team can't see where currency is flowing, which items convert, or where the balance sheet is drifting, the response is guesswork. We build the economy platform with a full transaction ledger, daily active buyer tracking, and ARPU and conversion reporting by cohort. The outcome is monetisation that improves every sprint instead of underperforming quietly for months.

  3. 03
    Problem

    Live ops needs an engineer for every content drop

    Solution

    When every content drop, sale, or event needs an engineer to make a code change or database edit, the game team's operational cadence is constrained by engineering availability. Game designers should be able to configure and schedule events through an interface, not wait in a ticket queue. Stale content is a measurable churn driver. We build live ops tooling that decouples the game team's cadence from the engineering deployment schedule. The outcome is a weekly event cycle that runs without engineering hours.

  4. 04
    Problem

    Backend built against one engine, porting means rebuilding it twice

    Solution

    When backend integration is built tightly against one engine's SDK, porting to a second platform means rewriting that integration from scratch. A studio that ships on PC and then ports to console or mobile faces the same backend work twice. We build engine-agnostic backends exposing clean APIs and client SDKs. Porting the client doesn't mean porting the backend. The outcome is months saved on a multi-platform release.

02 What we ship

Game backend systems we build

  1. Matchmaking and session management

    Skill-based matchmaking using ELO, MMR, or custom rating systems with configurable match parameters: team size, game mode, region, and latency thresholds. Queue management with wait time estimation and queue abandonment handling. Session creation and player notification when a match is found. Server allocation requesting a game server from your orchestration layer for each match. Match history recording for post-match stat updates and replay data. The outcome is matchmaking that holds at your concurrency target, not just at prototype scale.

  2. Leaderboards and ranking systems

    Global and segmented leaderboards supporting millions of entries with sub-50ms read latency for rank lookups. Time-windowed boards: daily, weekly, seasonal, all-time, with automatic rotation at period end. Friend leaderboards relative to a player's social graph. Score update pipeline handling high-frequency submissions without inconsistency. Tournament brackets and elimination structures for competitive events. The outcome is rankings without the latency creep that kills the experience at scale.

  3. In-game economy and virtual currency

    Virtual currency supporting premium, earned, and event currencies with configurable earn rates, spend rules, and caps. Item catalogue with attributes, bundles, limited edition flags, and platform-specific pricing. Purchase processing with receipt validation for iOS, Google Play, and Steam. Transaction ledger recording every economy event. Economy analytics showing daily active buyers, ARPU, conversion rate, and currency sink/source balance. The outcome is an economy you can tune from data instead of guessing from a spreadsheet.

  4. Live ops and event management tooling

    Live ops dashboard for game designers and producers to configure and schedule events, limited-time offers, battle pass activations, and content drops without a code deploy. A/B testing framework for economy changes and progression tuning with statistical significance monitoring. Feature flag management for controlled rollouts to player segments. Push notification and in-game messaging for event announcements and re-engagement. The outcome is a game team that ships content without waiting on engineering.

  5. Player analytics platform

    Game event tracking capturing player events with the event schema designed for the specific analysis your game team does. Funnel analysis showing drop-off at each progression step. Retention cohort analysis: D1, D7, D30 by acquisition channel, game version, and player segment. Economy health monitoring with early warning signals of inflation or deflation. The outcome is design decisions from data instead of guesses.

  6. Anti-cheat and game integrity

    Server-authoritative game state for competitive modes so the server validates moves rather than trusting client-reported outcomes. Anomaly detection flagging statistical outliers in performance, economy behaviour, and progression speed for human review. Account security: login anomaly detection, concurrent session management, device fingerprinting for ban evasion. Cheat report intake and review workflow. The outcome is competitive integrity without a dedicated anti-cheat team.

03 Buy, build, or wait

Not every studio needs a custom backend. Be honest about where you are before you spend on one. If a BaaS would serve you well, we will say so on the first call.

Buy a BaaS

  • Nakama, PlayFab, or similar

    Matchmaking, leaderboards, economy, and analytics out of the box at low upfront cost. Best for early studios and standard game loops.

  • The hybrid path

    Keep the platform for commodity systems. Build custom only where it constrains you: commonly custom matchmaking on a BaaS economy.

Build custom

  • When you've hit the ceiling

    Matchmaking needs rating logic the platform can't express, the economy forces workarounds, or live ops is stuck behind the platform's tooling.

  • When data ownership matters

    Analytics depth and export freedom matter more than the platform's export limits allow.

  • When scale is the requirement

    Live-service concurrency targets the platform wasn't designed for.

Bottom line

Rent the commodity. Build the ceiling.

04 How we work

Concurrency-first delivery

  1. 01

    Concurrency lock

    We map your current backend, your peak concurrent player target, and the systems blocking launch or limiting your live service. Your concurrency number becomes a testable threshold, and we document scope and fixed cost before development starts. The risk this retires: the architecture that was never sized for launch day.
  2. 02

    Topology design

    We design the server topology, data layer, and API contracts for each system. Scale targets are testable thresholds, not aspirational numbers, and the architecture is validated against them before a line of production code is written. The risk this retires: the rebuild that costs more than the original build.
  3. 03

    Prioritised build

    We build each system in prioritised order, with weekly builds your team tests against the game client. API documentation is maintained throughout, so your client engineers are never blocked waiting for integration specs. The risk this retires: the vendor learning your genre's netcode on your money.
  4. 04

    Load-tested launch

    We load-test to your concurrency target, then support go-live with real-time monitoring and incident response through peak traffic. You get documentation and runbooks to operate the backend independently, with an agreed support window after launch. The risk this retires: the launch-day queue collapse.

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05 Track record

What a first build looks like

Weeks to a validated v1
10-16
Cost, agreed before we build
Fixed
Shipping software for 10+ years
Since 2015

08 Why us

Why choose us?

  • 01

    We've seen your problem before

    Across dozens of industries, we recognise your situation fast, then frame the fix around your margin and your operations, not a generic template.
  • 02

    We own the number, not the ticket

    We measure success the way you do: hours saved, revenue earned, margin recovered. We stay through launch and growth, so the result is ours to own.
  • 03

    Serious businesses trust us

    Vodafone, T-Mobile, Cisco, Energia, Aldi, Nike. Building since 2015. Serious businesses keep coming back because we stay accountable long after launch.

09 Questions

Common questions

Backend-as-a-service platforms are the right starting point for most studios. They provide matchmaking, leaderboards, economy, and analytics at a low upfront cost and reasonable scale. Custom backend wins once you hit the platform's ceiling. That happens when your matchmaking needs rating logic the platform can't express, when your economy is complex enough to force workarounds, or when your live ops cadence is stuck behind the platform's tooling. It also wins when data ownership and analytics depth matter more than the platform's export limits allow. We're honest about this. If a BaaS would serve you well, we'll say so. If you've hit the ceiling, we'll scope what a custom build looks like.

Launch day and peak event traffic are the scenarios that break backend infrastructure built for average load. We design for the target concurrent player count at the architecture level. The matchmaking queue, the leaderboard, and the session management are all designed to scale horizontally so additional capacity can be added without re-architecture. Load testing against the concurrent player target is part of the delivery process before launch. For games with uncertain player counts, we build on auto-scaling cloud infrastructure so capacity expands automatically in response to demand.

Yes. The backend infrastructure we build is engine-agnostic. It exposes APIs and SDKs that the game client calls, regardless of the engine the client is built in. We provide client-side integration code for your engine of choice. If your client already has partial backend integration (for example, a matchmaking client that talks to your existing system), we assess what can be migrated or replaced during discovery so the transition doesn't require a full client rewrite.

A first module covering matchmaking, leaderboards, player profiles, and basic analytics is scoped as the validated v1. From there, a full live-service platform that adds in-game economy, live ops tooling, anti-cheat, and a complete analytics layer is scoped separately. You launch a validated v1 first, then expand. Fixed cost agreed before development starts.

You do, and not just at final delivery. IP ownership transfers to you at each paid milestone, so the code is yours as the project progresses. Full source code, infrastructure definitions, and runbooks transfer at completion. You're not renting the backend; you own it.

Get a build-vs-buy answer for your game backend

Tell us your game type, your target concurrent player count, and which backend systems are blocking your launch or limiting your live service. We'll scope the right infrastructure and give you a fixed cost.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.

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