WATCHLOG PLATFORM / PRODUCTS
The observability product suite for modern engineering teams.
Watchlog brings infrastructure metrics, logs, distributed traces, real user experience, uptime checks, synthetic journeys, database integrations, AI-powered analysis, and team alerting into one connected platform.
Four layers. One platform.
Every product in Watchlog belongs to a layer that describes what it monitors and what signals it produces.
Monitor what real users and automated probes see. Measure page performance, uptime, and the success of critical user flows.
Signals: User sessions, Core Web Vitals, uptime checks, probe results, JS errors
→ Know about regressions before users file tickets.
Trace every request end-to-end, collect structured logs, and measure application-level signals that indicate backend health.
Signals: Distributed traces, log streams, error rates, latency percentiles, custom dimensions
→ Find the slow span, the failing service, the exception at line 438.
Monitor every host, container, database, and web server that underpins your stack — with zero-config service discovery.
Signals: System metrics, container events, process stats, query performance, replication health
→ Know when capacity is failing before the application feels it.
Route signals to the right teams, detect anomalies, correlate cross-layer events, and surface root causes with AI-generated evidence.
Signals: Anomaly scores, root cause rankings, alert payloads, incident timelines
→ Start from a hypothesis, not a blank screen.
Every module. One subscription.
Each Watchlog module solves a specific monitoring challenge. Enable only what you need — expand as you grow.
Infrastructure Monitoring
System metrics for every host, VM, and process.
- · CPU, memory, disk, network at 60s
- · Per-process visibility
- · Multi-host fleet rollups
Log Monitoring
Ingest, search, and alert on any log source.
- · Full-text search + field filtering
- · Log-to-trace correlation
- · Pattern and anomaly detection
APM
Distributed tracing with service maps and error tracking.
- · Span waterfall and service map
- · p95/p99 latency trending
- · Error rate and deploy correlation
Real User Monitoring
Every user session — page loads, errors, and interactions.
- · Core Web Vitals + session replay
- · JS error capture with stack traces
- · Rage click and dead click
API Monitoring
Uptime and correctness for every HTTP endpoint.
- · Multi-region checks
- · Response body validation
- · SLA breach alerting
Synthetic Testing
Playwright user flow automation from global probes.
- · Critical journey automation 24/7
- · Screenshot diff on failure
- · Per-step waterfall timing
Docker Monitoring
Container metrics and lifecycle events for all Docker hosts.
- · Per-container CPU + memory
- · OOM kill and restart events
- · Compose service grouping
Kubernetes Monitoring
Cluster health and workload performance across namespaces.
- · Node, pod, namespace metrics
- · CrashLoopBackOff detection
- · HPA scaling event history
NGINX Monitoring
Traffic, error rates, and connections at your entry point.
- · Request rate + 4xx/5xx breakdown
- · Upstream response time
- · SSL expiry alerting
Database Monitoring
Query performance and replication for MongoDB, Redis, MySQL, PostgreSQL.
- · Slow query p95 detection
- · Connection pool saturation
- · Replication lag tracking
Custom Metrics
Emit any numeric measurement via StatsD or REST API.
- · StatsD/DogStatsD protocol
- · Tag dimensions + widgets
- · 60s resolution alerting
Custom Events
Annotate data with deploys, feature flags, and business events.
- · REST API event ingestion
- · Overlay on metric charts
- · Deploy marker correlation
Webhooks & Alerts
Multi-condition rules routed to Slack, PagerDuty, or webhook.
- · AND/OR rule logic
- · Alert deduplication + escalation
- · Anomaly detection built-in
AI Incident Analysis
Root cause scoring and cross-signal correlation per incident.
- · Confidence-ranked root causes
- · Metrics + logs + traces correlation
- · Natural language summaries
AI Traces / LLM Monitoring
Trace LLM calls, token usage, and GenAI app performance.
- · Token count per call
- · Latency by model + endpoint
- · Session-level cost attribution
Four ways Watchlog protects your system.
INFRASTRUCTURE
Monitor the servers, containers, and databases that run your stack.
The Watchlog Agent deploys in under 30 seconds and immediately begins collecting host metrics, container events, database performance, and web server traffic. No configuration files to write. No dashboards to build from scratch.
- 50+ supported technologies including MongoDB, Redis, PostgreSQL, and MySQL
- Auto-discovery detects running services and recommends integrations
- Container and Kubernetes monitoring with cluster-level health scoring
Infrastructure Overview
Trace Waterfall — POST /api/checkout
↑ Slowest span: postgres-query (97ms, 68% of total)
APPLICATION
Trace every request. Catch every error. Find every bottleneck.
Distributed APM tracing shows you the exact path a request takes through your services, which database queries are slow, and where exceptions are thrown. Logs and traces are correlated automatically — switch from a trace to the matching log lines in one click.
- Auto-instrumentation for Node.js, Python, Ruby, Go, and Java
- Service maps generated automatically — no manual topology
- Error tracking with stack traces, deploy markers, and frequency analysis
USER EXPERIENCE
Measure what real users experience — not what your servers report.
RUM captures every page view, user interaction, and frontend error from real browser sessions. Synthetic testing runs your critical user flows from 20+ probe locations around the world, 24/7. When they disagree, something changed — and you'll know exactly when.
- Core Web Vitals (LCP, INP, CLS) segmented by page, device, and region
- Session replay with privacy masking and rage click detection
- Global synthetic probes with step-level failure diagnosis
Web Vitals — /checkout
PostgreSQL connection exhaustion — 3.8× error rate increase
INTELLIGENCE
Alert on anything. Understand everything.
Watchlog's alert engine fires on metric thresholds, log patterns, uptime failures, or AI-detected anomalies — and routes to Slack, PagerDuty, or any webhook. When an incident fires, AI Incident Analysis connects the dots between signals and surfaces the most likely root cause.
- Multi-condition alert rules with AND/OR logic and anomaly detection
- Cross-signal AI correlation: metrics + logs + traces + events combined
- Natural language incident summaries with ranked root causes and fix suggestions
What each module captures.
Map Watchlog modules to the signal types they produce. Use this to understand coverage and find gaps.
Every product connects to the same investigation flow.
Watchlog products share context — a trace links to its logs, an alert links to its metrics, a session replay links to the JS error. One platform. One investigation flow.
- API monitor fires: /api/checkout returning 503
- Log monitoring surfaces matching error pattern
- APM trace identifies slow PostgreSQL span
- AI correlates with deploy v2.14.1 pushed 8 min ago
- Alert routes to backend on-call team
- Rollback resolves in 11 minutes
- RUM: LCP on /checkout rises from 1.2s to 4.8s
- Session replay confirms asset load failure
- Synthetic test reproduces across 3 global regions
- Custom event shows CDN config change at same time
- Alert fires to frontend platform team
- CDN rollback restores performance in 4 minutes
- Infrastructure monitor: memory at 94% on prod-api-3
- Process view identifies leaking PM2 worker
- Log monitoring shows repeated GC failure pattern
- AI root cause: missing memory release in v3.2.0
- PagerDuty wakes on-call engineer
- Process restart + hotfix shipped in 22 minutes
Built for the problems you're actually solving.
Backend performance debugging
Distributed traces, slow span detection, and database query breakdowns — find the bottleneck without reproducing it locally.
Frontend experience monitoring
Core Web Vitals, session replay, JavaScript errors, and real user flows — measure experience for every user, on every device.
Infrastructure reliability
Host metrics, container events, and cluster health — know when capacity approaches saturation before the application fails.
API uptime and SLA compliance
Multi-region uptime checks, response validation, and SLA tracking — know about failures before your customers do.
Database performance monitoring
Slow queries, connection pool exhaustion, replication lag — your database visible in full detail across MongoDB, Redis, and PostgreSQL.
Incident response with AI
Root cause scoring, cross-signal correlation, and natural language summaries — reduce MTTR from hours to single-digit minutes.
Product capabilities built for production teams.
Watchlog ships features that engineering and ops teams need in production — not just for demos.
Multi-team access control
Role-based access with team-scoped dashboards, alert policies, and data visibility boundaries.
Dedicated infrastructure
Your Watchlog instance runs on isolated infrastructure. No shared tenant overhead or noisy neighbors.
Custom domain
Host your observability dashboard on your own domain. metrics.yourcompany.com — fully branded.
Custom webhook targets
Route any alert to any internal system — ticketing, incident management, runbook triggers, or custom handler.
Audit logging
Full activity log of who changed what — alert rules, integrations, access grants, and configuration history.
Managed deployments
Watchlog handles updates, scaling, and availability. No infrastructure management required on your side.
Building for an enterprise team? Let us walk you through the platform.
Build your observability stack with Watchlog.
Choose the products you need today and connect more signals as your system grows. Full platform access on the free plan.
Already using Datadog, New Relic, or Grafana? Migration guide →