Raygun Today captures real-time product insights and user signals across digital platforms, helping teams act on telemetry the same day it happens. By surfacing issues, trends, and opportunities as they emerge, teams reduce noise and speed up meaningful responses.
Engineering, product, and support leaders rely on this daily pulse to prioritize work, protect customers, and align release strategy with actual usage patterns instead of assumptions.
| Signal Type | Data Source | Alert Threshold | Resolution SLA | Owner |
|---|---|---|---|---|
| Crashes | Raygun Live Streams | +200% vs baseline | 24 hours | Engineering |
| Errors | Raygun Error Tracking | +150% vs baseline | 48 hours | Platform |
| Latency | Raygun APM | +300 ms median | 72 hours | SRE |
| User Impact | Raygun Sessions | Top 5 affected versions | 1 week | Product |
Diagnosing Crashes with Raygun Today
The diagnostic view for crashes in Raygun Today shows stack traces, environment metadata, and user impact in a single timeline. Filtering by version, release channel, and device class surfaces patterns that point directly to root causes.
Teams can group similar crashes, assign ownership, and track resolution progress without leaving the platform, which keeps context intact and accelerates fixes.
Real-Time Error Tracking Workflows
Error tracking workflows connect incoming events to playbooks, runbooks, and on-call schedules so that alerts translate into action. With Raygun Today, teams enrich errors with tags, comments, and links to tickets, turning raw signals into managed incidents.
This workflow integration reduces manual triage and ensures that critical issues are routed to the right people at the right time, every time.
Release Health and Version Performance
Raygun Today surfaces release-level health metrics, including crash-free sessions, error rates, and latency trends for every shipped version. Product and engineering can compare releases side by side and see exactly which changes influence stability.
Using feature flags and cohort analysis, teams correlate specific feature exposure with user outcomes, enabling data-driven decisions about promotion, rollback, or further investigation. This keeps releases predictable and user experience intact.
Observability Across Web and Mobile
Whether the stack is web, mobile, desktop, or serverless, Raygun Today unifies telemetry into one coherent view. Breadcrumbs, custom data, and severity levels tie each error to the broader application context.
Unified observability means less time stitching together dashboards and more time improving product quality, especially as teams adopt micro frontends, hybrid apps, and multi-cloud architectures.
Operational Recommendations for Raygun Today
- Define baselines for each environment to make alerting adaptive rather than static.
- Enrich errors with release, build, and feature flag metadata for faster root cause analysis.
- Route critical alerts to on-call engineers with clear runbooks and escalation paths.
- Use cohort and version filters to assess impact on specific user segments before broader action.
- Integrate error data into sprint reviews to prioritize stability alongside new feature work.
FAQ
Reader questions
How does Raygun Today handle high-volume crash spikes
Raygun Today applies intelligent grouping and baseline-aware thresholds so that temporary spikes trigger review only when they exceed expected variance, preventing alert fatigue during known events like marketing campaigns.
Can I see only crashes affecting paying users
Yes, you can filter by custom user identifiers, segmentation rules, and billing attributes to focus exclusively on issues affecting premium or enterprise cohorts, tying reliability directly to business value.
What happens when an error is marked as resolved
Marking an error as resolved archives future occurrences unless the same pattern reappears, and it preserves the historical context for audits, postmortems, and compliance reviews while keeping active views clean.
How is data retention configured for compliance
Data retention policies in Raygun Today let you define retention windows per environment, mask sensitive payloads, and control export destinations so telemetry practices align with internal standards and regional regulations.