Watch — Application Performance Monitoring

Watch is DataHippo's APM product. It provides full-stack application performance monitoring with distributed tracing, error tracking, log aggregation, real-time metrics, and continuous profiling.

INFO

Detailed documentation for Watch is coming soon. This page provides a feature overview.

Features

Distributed Tracing

OTLP-native distributed tracing with end-to-end request visualization. See the complete path of a request across services, databases, and external APIs.

Error Tracking

Automatic exception capture with intelligent fingerprinting that groups similar errors together. Track regressions, assign ownership, and link errors to commits via GitHub integration.

Log Aggregation

Structured log collection with full-text and semantic search. Logs are automatically correlated with traces and spans for root cause analysis.

Real-Time Metrics

Custom dashboards with threshold-based and anomaly detection alerting. Build dashboards from any metric your application emits.

Continuous Profiling

CPU and memory flamegraphs linked directly to traces. Identify hot paths and memory allocations in production without sampling bias.

Database Monitoring

Query explain plans, slow query detection, and connection pool monitoring. See exactly which queries are slowing down your application.

Synthetic Monitoring

HTTP, TCP, and SSL health checks from multiple locations. Detect outages before your users do.

Alerts & Notifications

Configurable alert rules with notifications to:

• Slack
• PagerDuty
• Discord
• Microsoft Teams
• ServiceNow
• Webhooks

Cloud Integrations

Native monitoring integrations:

• AWS — CloudWatch metrics, X-Ray traces
• Azure — Azure Monitor integration
• GCP — Cloud Monitoring integration
• Oracle Cloud — OCI monitoring

LLM Observability

When used alongside Flow, Watch provides visibility into LLM calls: token usage, costs, latency, and prompt/response payloads — all linked to the originating application trace.