Evaluating Game Backends: Ten Questions to Ask Every Vendor

You're a few calls into a backend evaluation. Every platform on the shortlist has player accounts, cloud saves, matchmaking, inventory, SDKs, and some version of "global scale" on the website. On a feature grid, they start to look interchangeable. That is usually where the useful evaluation begins.

The expensive differences rarely show up in a demo. They show up when a service is down, when your game needs behavior the platform did not anticipate, when two client versions are live at the same time, when you are trying to trace one broken player journey, when the game does ten times the traffic you forecast, or when three years from now you need to move something elsewhere.

Those are the questions this guide is for. For each one, there is a question you can actually ask the vendor, why it matters once the game is live, what a useful answer contains, and the answers that sound good but tell you very little.

One disclosure up front: We publish this, and we sell a game backend. We will use our own platform as an example where there is something concrete to show. These are still questions you should ask us exactly as hard as you ask anyone else.

If you want the strategic version of this decision first, which engine, which platforms, build versus buy, we wrote a separate guide on how to choose a game backend. This piece is the layer under that one: once you have a shortlist, how do you interrogate it.

Why a Checklist Is Not Enough

Studios don't buy feature coverage; they buy confidence in stability, flexibility, data and logic control, cross-platform support, and predictable costs. In a 2024 AccelByte-commissioned Omdia survey, developers prioritized a proven track record, cross-platform support, engine integration, source access, extensibility, predictable pricing, and support over raw feature count.

The issue is that these qualities are impossible to gauge from a product page. Feature checkmarks reveal nothing about performance at 200,000 concurrent players or data accessibility during live operations. The critical factors for success are precisely what product demos conceal.

It helps to picture the evaluation as three layers stacked on top of each other. Most vendor comparisons live almost entirely in the top one and quit before the two that actually bite.

The ten questions below move down that stack. The first covers ownership, the middle ones cover running the thing in production, and the last covers getting out. And they don't all cost you at the same time. A question you skip during evaluation because it feels distant, exit, cost at scale, breaking changes, is exactly the one that turns into an expensive surprise at a specific later phase.

Question 1: What Do We Own, and Can We Actually Get It Back Out?

Ask:

What player data, configuration, custom logic, and operational data do we own, and can we export it in a usable form, on our own, while the game is still live?

Do not let this collapse into "do we own our data?" Every vendor says yes to that.

Why does it matter? Ownership and portability are not the same thing. A contract can say the data belongs to you while the technical path to extract it is slow, partial, undocumented, or dependent on the vendor. You find out whether the distinction matters during exactly the wrong moments: a migration, an acquisition, a compliance request, an incident, or a product being retired.

So push past ownership into portability:

Can you export player accounts, cloud saves, inventory, entitlements, statistics, matchmaking configuration, economy and catalog configuration, audit history, and logs? In what format? Through an API, a bulk export, or a support ticket? And the one that separates real answers from marketing: does export work while the game stays live, or only as a one-time offboarding gesture?

Getting identity portable matters most of all, because it's the key to everything else. If a vendor's player IDs can't be mapped to external identifiers, every other export is a pile of rows you can't reassemble.

A strong answer shows documented export APIs and processes you can run yourself, exportable configuration and not just player rows, schema documentation so the exported data is reconstructable somewhere else, bulk export where the volume needs it, and clear ownership boundaries.

As a concrete example of the shape to look for: AccelByte's Data Connector streams game telemetry into your own data warehouse, Amazon S3, Redshift, or Snowflake, on a short flush interval, so your event history lands in infrastructure you control instead of being rented back to you through a dashboard. On the configuration side, AGS has a configuration-migration feature that replicates service configuration across namespaces and environments, which is the mechanism you'd use to move a setup from staging to production or reconstruct it elsewhere. Use that as one example of the kind of evidence to ask any vendor for, not as a reason the box is checked.

Red flags:

• "Your data is always yours" with no technical detail behind it.

• Export runs through support tickets instead of an API you control.

• Only raw database dumps are on offer, with no schema you can reconstruct from.

• Configuration can't be exported at all, only player records.

• Proprietary IDs that can't be mapped to anything outside the platform.

Question 2: What Happens When One Part of the Backend Fails?

Ask:

Walk us through exactly what a player experiences when one of your core services is unavailable.

That is more useful than asking for an uptime percentage.

Why does it matter? 99.9% availability is an abstract figure that hides the thing you actually need to know: what happens during the 0.1%. Does a player already in a match keep playing, or get dropped? Can login degrade gracefully, letting existing sessions continue while new logins queue? Can progression writes retry instead of vanishing? Or does one unavailable dependency cascade until the whole game is inaccessible because the client can't get past a health check on a service it didn't even need?

That last case is the one that hurts, and it's common. A backend built as one tightly-coupled unit turns any single service outage into a full outage. A backend built as separate failure domains contains the blast radius, so an economy hiccup doesn't stop people from playing matches.

A strong answer shows named failure domains, defined degraded-mode behavior for each, redundancy and regional failover where it applies, retry and idempotency policies so a retried write doesn't double-grant an item, recovery objectives, and, tellingly, real incident examples with postmortems. A vendor that will walk you through a past incident and what they changed afterward is telling you something a status page can't. On the hosting side specifically, resilient designs distribute placements across multiple locations so one region's problems don't strand players; AWS GameLift's multi-location queue guidance is a good public example of that pattern, and it's the kind of regional-failover thinking dedicated server orchestration has to get right. What you want is an explanation of architecture, not a recitation of an SLA.

Red flags:

• The whole answer is SLA percentages.

• No description of degraded mode for any service.

• No mention of what happens to dependent services when one fails.

• Vague "automatic failover" with no detail on what fails over to what.

• No willingness to discuss a past incident.

Question 3: What Has This Scaled to, and What Was Measured?

Ask:

What production scale has this architecture handled, and what exactly was being counted when you measured it?

Then make them define the number.

Why does it matter? "Supports millions of players" tells you almost nothing, because the interesting load isn't the player total. One million registered users could mean 10,000 concurrent players or 500,000, and those are completely different infrastructure problems. The metrics that actually stress a backend are peak concurrent users, requests per second, concurrent matches, dedicated-server allocations, and transaction rates on the hot systems like inventory and economy. A vendor who answers a scale question with a registration total is either not measuring the right thing or hoping you aren't.

The failure this guards against is real and public. Helldivers 2 shipped as a great game and hit a capacity wall the moment it got popular, because real launch concurrency outran what the backend was provisioned and designed for. "It scales" is easy to say and expensive to discover you were wrong about.

A strong answer shows actual production references at a workload close to yours, a precise definition of what was measured, tested ceilings rather than theoretical ones, the scaling model, known bottlenecks, and a load-testing methodology you can inspect. The strongest version is a published test with the methodology attached. AccelByte, for example, publishes a load test to one million concurrent players across three regions, with close to 100,000 active match sessions at peak and 99th-percentile matchmaking time under 35 seconds, on a deliberately punishing single-pool 5v5 setup. The number matters less than the fact that the test conditions are written down, which is what lets you check the claim instead of trusting it. If you're building matchmaking yourself instead, Google's Open Match is a good reference for the architecture that holds up at concurrency.

Red flags:

• "Unlimited scale" or "cloud-native, so it scales automatically."

• Scale answered only in registered-account totals.

• Benchmarks with no methodology attached.

• No customer example anywhere near your actual workload shape.

Question 4: What Are We Still Responsible for Operating?

Ask:

If we adopt your platform, what stays our team's operational responsibility?

Why does it matter? "Managed backend" is not a standard term, and vendors use it to mean wildly different things. One platform manages infrastructure, databases, scaling, patching, and the operation of the services themselves. Another manages only the software or control plane and leaves real infrastructure ownership with you. Both can be reasonable choices. But they imply completely different engineering headcount and on-call burden, and you don't want to guess which kind you bought into.

The honest framing of the whole build-versus-buy decision isn't whether your team technically can operate a piece of infrastructure. It's which responsibilities you want to own on purpose, and which you'd be re-implementing worse than an existing option while your competitors ship features. We wrote a longer piece on that reframe: the real cost of building is the maintaining-forever part, not the initial build.

A strong answer shows a responsibility matrix the vendor can fill in without hedging. The point isn't which cells get checked, it's that a good vendor answers instantly and a vague one can't. Something like:

Where the lines fall varies by vendor and by deployment model, and that variation is exactly what you're trying to surface. A shared-cloud or public-cloud deployment usually pushes more toward the vendor column; a private or self-hosted deployment pulls more back to yours. Make them show you the split for the deployment you'd actually run.

Red flags:

• "Fully managed" with no definition of what that includes.

• Responsibilities that only become clear during onboarding.

• You're expected to operate infrastructure the vendor doesn't document.

• Vendor support stops precisely at the API boundary, and everything past it is yours.

Question 5: How Does Backend Customization Work?

Ask:

What happens when our game needs backend behavior your platform doesn't provide out of the box?

Why does it matter? Every online game eventually needs something the platform didn't anticipate: custom matchmaking logic, an unusual entitlement rule, an anti-fraud check, bespoke progression, a tournament system, an integration with a publisher's own systems. The question is never whether you'll need to customize. It's what customizing costs you later.

Platforms solve this in a few different ways, and the models have very different long-term consequences. Source-code access lets you change anything and makes you responsible for merging every upstream update forever. Cloud scripting is quick for small logic and usually limited in language and power. A hosted extension layer lets you run real services alongside the platform without forking it. External microservices give you total freedom and total operational ownership. The maintenance tail is the part that's invisible during evaluation and dominant afterward.

Our own comparison of source code, cloud scripting, and Extend walks these tradeoffs in detail, and it's a useful read precisely because it doesn't pretend one model is right for everyone. As a concrete example of the hosted-extension model: AccelByte Extend lets you write custom backend logic in Go, C#, Java, or Python and run it as hosted services next to the platform, so you get custom behavior without forking core code and inheriting merge debt. That's one model among several, and the right one for you depends on how much custom logic your game actually needs.

A strong answer shows a clear extension model, isolation between your custom code and the platform's, the languages supported, how custom logic is deployed and monitored, what happens to your customizations during a platform upgrade, and the honest limits of the model. Ask specifically: can custom logic call core platform services, can it override existing behavior, and can you observe it the same way you observe everything else.

Red flags:

• "Anything is possible," immediately followed by "through our professional-services team."

• Real customization requires forking the core platform.

• No observability for the custom logic you write.

• Your customizations block you from taking platform upgrades.

• The scripting model can't actually express what your game needs.

Question 6: How Do APIs, SDKs, and Breaking Changes Evolve?

Ask:

What happens to our shipped game when your APIs or SDKs change?

Why does it matter? Live games don't update everywhere at once. Your PC build might update today. Your console build could sit on the previous version for two weeks waiting on certification. Which means your backend has to support multiple client versions at the same time, on purpose, as a normal state of operation. A backend that assumes every client updates the instant a new version ships will break your console players the moment you take an upgrade, and you'll find out through a certification you can't rush.

A strong answer shows an explicit API versioning and deprecation policy, a defined SDK support window, backward-compatibility guarantees, an overlap period where old and new both work, migration notes and tooling to find affected calls, and a supported-versions matrix you can actually see. Versioned APIs and a stable output contract are the mechanical backbone here. A platform that generates its SDKs and tooling from a single versioned API definition, and commits to not renaming or removing fields without a major-version bump, is one you can build against without bracing for silent breakage.

The follow-up that reveals more than any docs page:

Tell us about the last breaking change you shipped, and how customers migrated through it.

A vendor who can answer that specifically has done it carefully before. A vendor who gets vague has told you how your next breaking change will go.

Red flags:

• "Always use the latest version" as a support policy.

• Deprecations that ship without notice or documentation.

• No overlap period between old and new.

• SDK changes and server changes locked together so you can't update one without the other.

• Support can't clearly state the compatibility policy.

Question 7: When Something Breaks, What Can We Actually See?

Ask:

Show us how one of our engineers would investigate a single broken player journey, end to end.

Then hand the vendor a real scenario:

A player logs in fine, enters matchmaking, gets matched, and never reaches the dedicated server. Trace it. Or a player bought an item and never received it. Walk it back.

Why does it matter? Developer experience isn't only how smooth the integration was. It's how fast your team can understand production behavior at 2am when something's wrong and players are posting about it. That means real access to logs, request traces, error codes, session state, matchmaking tickets, server-allocation records, player-account state, transaction history, and the logs from your own custom services, correlated well enough that you can follow one player through the whole flow instead of guessing which of six services dropped them.

A strong answer shows searchable logs you can reach without a support ticket, structured errors instead of opaque codes, correlation IDs that tie a request across services, player and session context you can inspect, environment separation, and a support escalation path for the genuinely hard cases rather than as the first resort. Crash reporting is part of this too: at launch scale you need crashes symbolicated and grouped so a flood of reports collapses into a handful of real bugs. As a concrete example, AccelByte Development Toolkit does crash reporting with symbolication, grouping, and short pre-crash video capture.

The POC version of this question is the most valuable test in the whole evaluation. Ask them to intentionally break something and then to show how you would find it.

Red flags:

• Logs require a vendor support request.

• Only platform-wide dashboards, no per-player investigation.

• Opaque error codes with no structured detail.

• The answer to "how do we debug this" is "contact support."

Question 8: What Does Security and Access Model Look Like?

Ask:

How do we control who, and what, can access production backend capabilities?

Why does it matter? A game backend holds systems that can grant inventory, modify currency, ban users, change matchmaking, alter LiveOps configuration, and read every player's data. Overly broad access to those isn't a theoretical risk, it's a customer-support agent with production write access, a leaked service credential, or a game client shipped with a secret it should never have held. The consequences run from fraud to a very bad disclosure.

A strong answer shows role-based access control with real granularity, service-level permissions for machine callers, short-lived credentials where it counts, audit logs of who did what, and hard separation between development, staging, and production. Machine authentication should be distinct from human access, and game clients should never carry privileged secrets.

The test that cuts through a "yes, we support RBAC" answer:

Can we create an account that can investigate a player's inventory but cannot modify it?

That read-not-write distinction is where access models are real or theatrical. A platform with proper role granularity answers yes and shows you how. One with only broad admin roles starts explaining why you'd want full access anyway.

Red flags:

• Broad admin roles only, with no fine-grained scoping.

• Shared credentials across people or environments.

• Production access indistinguishable from development access.

• Weak or missing audit history.

• Game clients issued privileged secrets.

Question 9: What Will This Actually Cost If Our Game Succeeds?

Ask:

Show us the cost model at our expected load, at 2x load, and at 10x load.

Then make them break the bill down.

Why does it matter? Most studios model "what does this backend cost right now?" The better question is "what cost curve are we committing to?" A game can become a hit and discover that an architecture which looked cheap in development has ugly economics at production scale, because the cost was tied to a metric that explodes with success. You want to know which behaviors move the bill fastest before you build around them, not after.

Break it down across the dimensions that matter for your game: monthly active users, peak concurrent users, API requests, storage, bandwidth, dedicated-server hours, database load, regions, support tier, and any premium or custom-service costs. Ask which of those scale linearly and which jump in steps.

Our launch-day cost analysis makes a related argument worth borrowing: the real cost question isn't the monthly subscription, it's what a bad launch day costs and which choice makes a bad launch day more likely. A backend that falls over at 15x forecast during a streamer spike can cost you more in refunds, review damage, and lost momentum. If you want the numbers worked through for different studio sizes rather than a single headline, we did the cost math for three studio profiles.

The question that reveals more than the pricing page:

Which customer behavior makes our bill increase fastest?

A strong answer shows transparent units, predictable thresholds, example bills at each load level, a calculator or scenario model, any committed discounts in writing, and a clear explanation of which costs scale linearly versus stepwise. Bonus honesty points for a vendor who volunteers the metric that bends your curve.

Red flags:

• "Contact sales" for every meaningful unit price.

• Opaque bundled pricing you can't decompose.

• The calculator quietly omits a cost that turns out to be large.

• Pricing keyed to a metric you can't forecast.

• No way to model a breakout-success scenario.

Question 10: If This Stops Working for Us, How Do We Leave?

This is the last question and, for a technical director, close to the most important. It's also the one almost nobody asks during evaluation, because you're choosing a partner, not planning a breakup. Ask it anyway.

Ask:

If we decide to migrate away three years from now, what does that migration actually involve?

Make the vendor walk the whole surface: player identity and accounts, progression, cloud saves, inventory, purchases and entitlements, matchmaking configuration, custom logic, general configuration, server infrastructure, telemetry history, and whether old and new systems can run side by side.

Why does it matter? Most teams evaluate a vendor in the first six months. A technical director should also evaluate year three. The difficulty of leaving is an architectural property, not a contract clause, and it's set the day you integrate, not the day you decide to go. Migrations get painful when years of services, scripts, and one-off fixes pile up and the original architecture makes replacement hard. The exportability from Question 1 is what determines whether year-three-you has options or is trapped.

A strong answer shows migration documentation, export APIs and configuration export (Question 1 again), the ability to run old and new in parallel so you don't take the game offline to move it, standard interfaces, clear ownership of your custom logic, and real migration examples. Migrations off and onto platforms happen constantly, and a vendor who's done them can describe the mechanics. Our migration blueprint for live games is one honest write-up of what makes migrations hard and how live ones actually get sequenced. For a concrete example of the coexistence approach in practice, 1047 Games migrated Splitgate off a custom monolithic backend and moved millions of player records in a few hours rather than rebuilding from scratch, and AEXLAB transitioned VAIL's backend with a live game. Single most revealing question you can ask any vendor:

Tell us about a customer that migrated off from or to your platform successfully.

A vendor willing and able to answer that is showing you unusual confidence, because it means they don't rely on lock-in to keep you. A vendor who can't, or won't, has answered a different question you also needed answered.

Red flags:

• No documented exit process at all.

• Player IDs that can't be mapped to external identifiers.

• No bulk data extraction.

• Core custom logic trapped inside a proprietary runtime.

• APIs that can't coexist with replacement services during a migration.

• Contract terms that punish leaving.

Questions Alone Aren't Enough. Make the Vendor Prove It.

Ten good questions still just produce ten good answers, and a polished vendor is good at answers. The evaluation only becomes real when you make them demonstrate instead of describe. Run it in three stages.

Stage one is the architecture conversation.

Ask the ten questions. The goal here is narrow: surface the obvious incompatibilities and the vendors who get vague where it counts. This stage is eliminated, it doesn't decide.

Stage two is a proof of concept, and it should not be "Hello World." Build the things most likely to hurt you later. A useful POC runs end to end:

1. Authenticate two different platform identities.

2. Create and persist player state.

3. Run matchmaking.

4. Allocate a session or server.

5. Add a piece of custom backend logic.

6. Deliberately generate an error.

7. Debug it using only what the platform gives you.

8. Export the resulting data and configuration.

9. Upgrade one SDK or API dependency.

10. Estimate the production cost of that same architecture.

Notice that this POC exercises the ten questions directly. Steps 6 and 7 are Question 7. Step 8 is Questions 1 and 10. Step 9 is Question 6. Step 10 is Question 9. If a vendor's platform sails through steps 1 through 5 and falls apart at 6 through 10, you just learned the thing the demo was built to hide.

Stage three is a reference conversation with an existing customer, and the useful questions there aren't the ones the vendor would pick for you:

• How reliable is support when something's actually on fire?

• What surprised you after integration?

• What doesn't work as well as the sales demo implied?

• What did you end up having to build yourselves?

• What happened during your biggest traffic spike?

• What does upgrading actually look like?

• Would you make the same choice again?

Weak Question, Sharper Question

If you take one thing from this piece into your next vendor call, make it the habit of upgrading every soft question into a specific one. The soft version gets a yes. The sharp version gets an answer you can use.

Ask Us These Too

It would be easy to end a piece like this by quietly implying AccelByte answers all ten perfectly. That would undercut the whole point, so here's the honest version.

Some of these AccelByte answers well and can show you the evidence for: a published matchmaking load test with the methodology attached for Q3, a Data Connector that streams your telemetry into your own warehouse for Q1, a hosted extension model that keeps custom logic out of a fork for Q5, crash telemetry at real volume for Q7, and documented live migrations for Q10.

Some of the answers depend on which deployment you pick. Q4, which you still operate, looks different on a shared public-cloud deployment than on a private-cloud one, and the honest response is "it depends, here's how." Q9, cost, depends on your concurrency curve, which is why the useful answer is a model against your game.

And the strongest thing any backend vendor can do is invite the questions rather than deflect them. So put all ten to AccelByte, and put them to everyone else on your shortlist, and weigh the vendors who answer with evidence over the ones who answer with adjectives. If a vendor gets uncomfortable when you ask how you'd leave, you've learned something useful about staying.

The Takeaway

A backend is easy to evaluate on its best day. Every vendor is good on its best day. The questions that actually protect you are the ones that reveal what happens when your game grows past forecast, when your architecture needs something the platform didn't plan for, when a core service goes down mid-launch, when a breaking change lands during console certification, and when you eventually need to leave.

Feature parity is the top of the stack and the least of your problems. Operational fit and strategic fit are where a backend decision quietly becomes a good one or an expensive one, and neither shows up on a comparison grid. So go back to the shortlist and stop asking what these platforms can do. Start asking what they'll be like to run, to scale, to debug, to pay for, and to leave.

Ask the ten. Make them prove the answers. Then decide.