Full Observability at your fingertips
Monitor requests across 100+ locations with high-fidelity logs, real-time metrics, and data streaming for investigation and compliance.
End-to-end visibility across distributed apps
High-fidelity logs and metrics
Access request logs with 30-40+ variables per event. 100% event capture, no sampling. Real-time charts with 10-minute aggregation and 2-year retention.
See your events within ~40 seconds
Know what's happening in your environment before your customers. Make informed decisions faster.
Deliver your logs to external systems
Push logs to 12+ integrations: QRadar, Kafka, Splunk, Datadog, AWS, Azure, and Google Cloud. Custom logpush via HTTP connector with SLA-backed reliability.
Explore Real-Time Events, Real-Time Metrics, and Data Stream
Add high-fidelity logging in 30 seconds
See every event in real time with advanced filtering and GraphQL API for dashboards and automation.
< 1 minute event visibility
Data visible within one minute from event occurrence across all interfaces.
7-Day + 2-Year Retention
7-day detailed logs, 2-year Activity History. Export via Data Stream for long-term storage.
100% Event Capture
100% event capture with 30-40+ variables: headers, cookies, geo, and custom data.
Deep Investigation
Inspect HTTP metadata and config changes. Debug with full event context.
Monitor, analyze, and optimize from one place
Centralized visibility
Unify monitoring across 100+ locations. See global traffic from console or GraphQL API.
High responsiveness to events
Logs within ~40 seconds, 10-minute metric aggregation, 3-minute SLA via Data Stream.
Extended retention for metrics
7-day logs, 2-year Activity History and metric retention. Export for long-term storage.
Frequently Asked Questions
What's the difference between Real-Time Events, Real-Time Metrics, and Data Stream?
Real-Time Events provides high-fidelity logs within ~40 seconds with 30-40+ variables per request, 7-day retention (2 years for Activity History), and no sampling by default - 100% events captured for deep investigation. Real-Time Metrics aggregates performance data with 10-minute granularity, 2-year retention, and calculated fields like bandwidth offload and requests per second. Data Stream exports telemetry to 12+ external integrations (QRadar, Kafka, Splunk, Datadog, AWS, Azure, Google Cloud, Elasticsearch and more) with 3-minute delivery SLA. Use Events for debugging, Metrics for trend analysis, and Data Stream to logpush data to an external system.
How quickly can I access observability data?
Real-Time Events makes logs available within ~40 seconds of the moment the event happened. Real-Time Metrics uses aggregated data but has miminum delay even for large datasets (long timeranges). Data Stream delivers telemetry to external systems with 3-minute SLA, batching data every 60 seconds or 2,000 records. All three products provide near real-time visibility for rapid troubleshooting and monitoring.
Can I export observability data to external systems?
Yes. Data Stream supports 12+ endpoint integrations including Kafka, AWS (S3, Kinesis, CloudWatch), Azure (Storage, Event Hubs), Google Cloud (Pub/Sub, Storage), Splunk, Datadog, Elasticsearch, New Relic, QRadar and custom HTTP endpoints. Configure what data to send with customizable templates, batch every 60 seconds or 2,000 records, and rely on enterprise-grade reliability with automatic retries and 3-minute delivery SLA.
What metrics and events can I monitor?
Real-Time Events captures 30-40+ variables per request including headers, cookies, query strings, request bodies, geo location, status codes, HTTP methods, hosts, URIs, and custom data - with no sampling, 100% events logged.SEE MORE
Real-Time Metrics aggregates request counts, latency percentiles (p50, p95, p99), error rates, data transferred, and calculated fields like bandwidth offload percentage and requests per second. Both support filtering by application, domain, status, geographic region, and custom dimensions via GraphQL API. SEE MORE
How do I use Observe products for my own security monitoring?
You can use Data Stream to logpush events and logs to your SIEM platforms for long-term correlation and threat analysis and monitor security trends in Real-Time Metrics with charts showing blocked requests, threat scores, and geographic attack origins. When anomalies appear, use Real-Time Events to investigate and drill-down to individual blocked requests with full context including headers, payloads, and request attributes. All three products work together for complete security observability - stream for SIEM, monitor for trends, investigate for forensics.
What's the retention period for observability data?
Real-Time Events retains detailed logs for 7 days plus 2-year Activity History for audit trails. Real-Time Metrics aggregates performance data for 2 years, enabling trend analysis and YoY comparisons without external storage. Data Stream exports to external systems for unlimited retention - send to AWS S3, Azure Storage, Google Cloud, or your data lake for long-term compliance requirements and historical analysis.
Access to all features.