How do I do a staged rollout for my game update?

Do a staged rollout by releasing the update to a small percentage of players first, monitoring that group's stability closely, and then expanding if healthy or halting and rolling back if not. Step one, release small: deploy the update to a small percentage (your canary group) rather than everyone, so a serious problem affects few players, start small enough to limit damage but large enough for a meaningful signal. Step two, monitor closely: compare the new version's crash rate and issues against the previous version, watching for any regression, this monitoring is the entire point, since it is how you catch a bad update on the small group before it reaches everyone. Step three, expand or halt: if the stage is healthy, expand to a larger percentage (repeating monitor-and-expand to full release); if it shows problems, halt and roll back, having affected only the small group. The safety depends entirely on monitoring each stage and acting on it. Bugnet provides that: real-time per-version crash tracking with impact ranking and alerts, so you can monitor each rollout stage's stability against the baseline and decide to expand or halt based on real data, which is how you do a staged rollout for your game update.

What percentage should I start a staged rollout at?

Start a staged rollout at a percentage small enough to limit the damage from a bad update but large enough to give a meaningful stability signal, the exact number depends on your player base size. Common practice is to start with a small initial percentage (for example, a single-digit percentage of players), watch it, then expand in stages (increasing the percentage) as each stage proves healthy, until you reach full rollout. The principle: the initial group should be small enough that if the update is badly broken, only a small fraction of players are affected, yet large enough that you get enough crash and stability data to actually judge the update's health (too small a group on a small player base may not surface issues). For a larger player base, a smaller starting percentage still gives plenty of signal; for a smaller base, you may need a larger percentage to get a meaningful signal. The key is monitoring whatever group you start with. Bugnet provides the monitoring: it tracks crashes per version in real time with impact ranking, so whatever starting percentage you choose, you can see the rollout group's stability and decide whether to expand, which is how to choose and monitor a staged rollout starting percentage.

How do I know if a staged rollout is going well?

Know a staged rollout is going well by monitoring the released group's stability and comparing it against the previous version, if the new version's crash rate and issues are no worse than the baseline (and no new serious crashes have appeared), the rollout is healthy and you can expand; if crashes spike or new serious issues appear in the rollout group, it is not going well and you should halt. The signal you watch is the rollout group's real-time stability: crash rate per version, any new crash signatures, and how many players are affected. A healthy rollout shows the new version performing as well as or better than the old; a problematic one shows a regression concentrated in the rollout group. This requires per-version monitoring with fast feedback, so you can judge each stage and react before expanding. Without monitoring, a staged rollout is just a slow release with no safety benefit, since you cannot tell if it is going well. Bugnet provides the monitoring: real-time per-version crash tracking with impact ranking and alerts, so you can see whether the rollout group is stable relative to the baseline and get alerted to a regression immediately, which is how you know if a staged rollout is going well and when to expand or halt.

Steps to Do a Staged Rollout

Quick answer: To do a staged rollout: release to a small percentage first, monitor that group's stability, then expand if healthy or halt and roll back if not.

A staged rollout releases an update gradually so a bad one affects few players. These are the steps.

Step 1: Release to a Small Percentage

Start by releasing the update to a small percentage of players rather than everyone: the initial group is your canary, so a serious problem affects few players instead of your whole base. Begin small enough to limit damage but large enough to give a meaningful signal.

Bugnet makes the initial group informative: it captures crashes per version in real time, so the moment you release to the first percentage, you start seeing whether the new version is crashing those players, turning the early stage into a real-world test of the update.

Step 2: Monitor the Stage Closely

Next, monitor the released group's stability closely: compare the new version's crash rate and issues against the previous version, watching for any regression. This monitoring is the whole point, it is how you catch a bad update on the small group before it reaches everyone.

Bugnet provides the monitoring: it tracks crashes per version with impact ranking and alerts, so you can compare the rollout group's stability against the baseline and get alerted immediately if the new version spikes crashes, giving you the signal to decide whether to proceed or halt.

Step 3: Expand or Halt

Finally, decide based on the data: if the stage is healthy, expand the rollout to a larger percentage (repeating the monitor-and-expand cycle to full release); if it shows problems, halt the rollout and roll back, having affected only the small group. The staged rollout's safety comes from acting on the monitoring.

Bugnet drives the decision: its real-time per-version crash data tells you whether the current stage is healthy (expand) or regressed (halt and roll back), so each expansion is a data-backed decision and a bad update is caught and stopped at a small stage, which is the safety a staged rollout exists to provide.

To do a staged rollout: release to a small percentage first, monitor that group's stability closely against the baseline, then expand if healthy or halt and roll back if not, the safety comes from monitoring each stage.