Are crash logs enough, or do I need crash analytics?

You need analytics, not just logs. Raw crash logs are hard to act on, a pile of individual logs doesn't tell you which crashes are the same issue, how often they happen, or which affect the most players. Crash analytics provides exactly that: grouping by signature, occurrence and affected-player counts, impact ranking, and trends. So while logs are necessary raw data, analytics is what turns them into a prioritized plan of what to fix.

Why aren't raw crash logs enough to fix crashes?

Because a pile of individual crash logs is overwhelming, not informative, you can't easily tell from raw logs that a thousand crashes are really three distinct issues, or which one affects the most players, or whether a crash is new. Crash analytics processes the logs into insight: grouping duplicates, counting, ranking by impact, and showing trends, turning raw records into a short, prioritized list of distinct issues. That insight, not the raw logs, is what tells you what to fix.

Crash Analytics vs Crash Logs

Q: What's the difference between crash analytics and crash logs?

Crash logs are raw records of individual crashes (the stack trace and details of each occurrence), the underlying data. Crash analytics aggregates and analyzes those logs into insight: grouping identical crashes by signature, counting occurrences and affected players, ranking by impact, and showing trends over time and per version. Logs are the raw material; analytics turns them into a prioritized, understandable picture of what's crashing your game and what to fix.

Quick answer: Crash logs are raw records of individual crashes; crash analytics aggregates and analyzes them, grouping by issue, counting occurrences, ranking by impact, and showing trends. Logs are the raw data; analytics turns it into insight.

Crash logs and crash analytics relate to the same crashes but at different levels, raw data versus analyzed insight. Confusing them means thinking you have what you need when you only have raw logs. Here's the comparison.

What Crash Logs Are

Crash logs are raw records of individual crashes, the stack trace and details of each crash as it happened. They're the underlying data, one log per crash occurrence. Logs are essential raw material, but on their own they're hard to act on: a pile of individual crash logs doesn't tell you which crashes matter or how often they happen.

A thousand crash logs is overwhelming, not informative, you can't tell from raw logs alone that they're really three distinct issues, or which affects the most players. Logs are the raw input; they need processing to become useful, which is what analytics provides.

What Crash Analytics Are

Crash analytics aggregates and analyzes crash logs into insight: grouping identical crashes by signature, counting occurrences and affected players, ranking by impact, and showing trends over time and per version. Analytics turns a pile of raw logs into a prioritized, understandable picture of what's crashing your game.

Bugnet provides crash analytics, grouping, impact ranking, per-version trends, not just raw logs. Analytics is what makes crash data actionable: instead of a thousand logs, you get a short ranked list of distinct issues with counts. Analytics is the insight layer on top of the raw logs.

Why You Need Analytics, Not Just Logs

The distinction is decisive: logs are raw data, analytics is insight. Having crash logs without analytics is having the data without the understanding, you can't easily tell what to fix from raw logs alone. Analytics, grouping, counting, ranking, trends, is what turns the logs into a prioritized plan.

Bugnet does the analytics on the logs it captures, so you get insight, not just records. So don't settle for raw crash logs, you need crash analytics that groups, ranks, and trends them to know which crashes actually matter. The logs are necessary raw material, but analytics is what makes them useful for deciding what to fix.

Crash logs are raw records of individual crashes; crash analytics aggregates them, grouping by issue, counting, ranking by impact, and showing trends. Logs are the data; analytics is the insight. You need analytics to know what to fix.