Platform Analytics
Platform Analytics is part of the LoginRadius Identity Platform, designed to give you complete visibility into how your APIs are performing and being used. It transforms raw API activity logs into easy-to-read insights, helping you track traffic, monitor performance, and troubleshoot issues.
Business use cases
Performance Monitoring
Detect latency spikes or overloaded endpoints (e.g., rising response times on /identity/v2/auth/login).
Usage Monitoring
Track user activity and traffic surges (e.g., seasonal sales causing POST spikes on /login).
Error Troubleshooting
Analyze error rates to diagnose failures (e.g., 500 errors from misconfigured integrations).
Client & Traffic Profiling
Identify top consumers by source or user agent (e.g., 80% traffic from one mobile SDK).
Trend Analysis
Spot recurring usage patterns (e.g., Monday morning request spikes).
Alert Optimization
Set realistic RPS thresholds for proactive monitoring.
Reporting & Compliance
Export data snapshots for audits and stakeholder reviews
Key Features
- Real-time visibility into traffic, latency, and errors.
- Top 5 breakdowns for IPs, hosts, endpoints, methods, status codes, and user agents.
- Powerful filters to drill down by any attribute.
- Daily and hourly trend graphs for both traffic and latency.
- Exports to CSV for raw data and PDF for reports.
- Near real-time refresh every 5–15 minutes.
Dashboard Sections
This feature can be found under the User Insights --> Platform Insights section of Admin Console.
To enable this feature on your tenant, contact the LoginRadius support.
- Applying Filters to All Sections
- Date Range and Default Behavior
- Total Requests and Top 5 Breakdowns
- Requests Trend Graph
- Latency Graph
- RPS Analytics (Requests Per Second)
- Request Volume by Source (Top 5)
- Exporting the Whole View as PDF
Filters apply across the dashboard, so every graph and metric stays in sync. You can filter by status code, method, path, user agent, IP address, or host. Active filters appear as removable chips, and a reset button clears them.
Example: Filter to only show 500 errors from /auth requests during peak hours.
- You can select a custom date range from 1 day up to 30 days.
- By default, the dashboard loads data for today and yesterday (2 days).
- Charts and breakdowns dynamically refresh based on your selected range.
The dashboard starts with a KPI showing total request volume. The bar charts highlight the top 5 values for each category: IPs, hosts, HTTP methods, API paths, status codes, and user agents.
Example: A single IP generated 74% of traffic—helping you identify an integration or potential abuse.
A line chart plots request volumes over time, by day or hour (depending on date range). Hover to see exact values and changes.
Example: Spot weekday spikes tied to customer behavior, or confirm increased traffic after a release.
- This chart displays average response times and percentiles (P75, P95, P99).
- It updates dynamically with filters, so you can measure performance by method, path, or status.
Example: Identify high-latency endpoints or detect load-induced slowdowns.
RPS (Requests Per Second) measures throughput of your APIs. It shows how many requests are processed in a single second — a key indicator of scalability and load handling.
- Peak RPS: Maximum RPS recorded in the selected range
- Range: Select 1–30 days
- Default: Auto-loads today + yesterday
Visualization: Bar charts showing RPS distribution, with hover for exact values.
Example: A tenant recording a peak RPS of 180 at 14:35 UTC means 180 API calls were processed in that exact second.
This helps forecast scaling or adjust rate-limits.
Expanded breakdowns show top IPs, hosts, methods, paths, statuses, and user agents. Each section includes a “Download CSV” option with full data, not just the top 5.
Example: Export a full list of IP addresses to your security team for review.
One click generates a PDF snapshot of the dashboard, including filters, date ranges, and analytics — including RPS Analytics and Peak RPS.
Example: Use this for stakeholder presentations, compliance, or internal reviews.
Best Practices
- Compare request volume and latency side-by-side to analyze tenant performance.
- Watch the Top IPs section regularly for anomalies.
- Use trend graphs to anticipate traffic surges and plan scaling.
- Review daily peak RPS values to ensure your tenant stays within subscribed limits.
- Leverage PDF exports for internal reviews or compliance reporting.