Firebase Performance Monitoring
firebase.google.comMeasure app startup, screen rendering, and HTTP/S request behavior, then compare performance across releases and devices.
Measure app startup, screen rendering, and HTTP/S request behavior, then compare performance across releases and devices.
Bring logs, metrics, traces, and infrastructure monitoring into one observability workspace.
Expose Unix host hardware and kernel measurements at a Prometheus scrape endpoint.
Trace backend requests and inspect the database calls, external dependencies, and errors that affect their performance.
Capture application errors, stability signals, performance issues, and traces across mobile and web apps.
Collect infrastructure and application telemetry, then explore logs, traces, metrics, and user behavior together.
Discover supported services and connect application, infrastructure, and user-experience signals for investigation.
Probe HTTP, HTTPS, DNS, TCP, ICMP, and gRPC endpoints and expose results for Prometheus to scrape.
Test sentiment and market rules, then inspect the individual outcomes
Collect cloud workload telemetry and build monitors for Kubernetes and Linux environments.
Compare synthetic browser checks with real-user performance and alert on regressions.
Compare strategy experiments across assets, parameters and historical periods
Probe authorized web applications for common security issues through a proxy or automated scan.
Trace AWS and serverless applications with transaction context and related troubleshooting signals.
A Rust framework for building web, desktop, and mobile apps from a shared codebase.
Combine application error reports with external uptime checks and missed-job alerts.
Check a public service from outside and alert when its HTTP response stops meeting expectations.
Examine stock-factor returns, predictive relationships and turnover
Audit individual web pages and turn failed checks into concrete optimization leads.
Check service availability from several regions and keep customers updated with branded status pages.
Collect logs, metrics, and traces through OpenTelemetry or cloud integrations, then investigate alert signals in a shared telemetry workspace.
AI data analytics for spreadsheets, PDFs, and images
AI-native business intelligence for ad hoc analysis, dashboards, and data workflows.
Connect hybrid infrastructure telemetry to service context, dependencies, and operational response.