"
Watchlog replaced three separate tools we were using. APM, log monitoring, and uptime — all in one place. Our on-call rotations became significantly less painful.
Full-stack monitoring platform
Observe Everything.Break Nothing.
Watchlog is the complete observability command center for modern engineering teams. Logs, metrics, traces, uptime, APM, RUM — unified in one platform.
✓ No credit card required |✓ Built for developers |✓ Deploy in 5 minutes
watchlog — production · all services
Live
SERVICES
api-gateway99.98%
auth-service100%
worker-queue99.91%
cdn-edge98.40%
db-primary100%
metrics-ingest99.99%
REQUEST RATE — LAST 24H
12k8k4k0
00:0006:0012:0018:0024:00
11,284req/min
42msp99 latency
0.02%error rate
LOG STREAM
14:32:01INFOapi-gateway: request completed 200 /v2/metrics
14:32:01INFOauth: token validated user=u_4f2a9c
14:32:00WARNcdn-edge: cache miss ratio 18% threshold exceeded
14:31:59INFOworker: job processed id=j_8b3e1d duration=124ms
14:31:58INFOmetrics-ingest: batch flushed 4,200 points
14:31:57INFOdb-primary: query ok 3ms SELECT users WHERE active=1
14:31:56INFOapi-gateway: health check passed all=6
█
Modern systems
fail in layers.
Servers go offline at 3am.
Your team finds out from customers.
APIs slow down.
Metrics stay silent.
Log volumes explode.
Signal drowns in noise.
Frontend users suffer.
Backend engineers are blind.
Databases degrade silently.
Until they don't.
Containers restart in loops.
No one investigates why.
Teams discover incidents hours too late.
The damage is already done.
You built a complex system.
You deserve full-stack visibility.
THE PLATFORM
One platform. Every signal.
From infrastructure to frontend, from logs to AI-powered root cause — Watchlog captures every layer of your stack.
WWatchlog
Infrastructure
Hosts, processes, system resources
Logs
Structured ingestion, search, alerts
APM
Distributed tracing, error tracking
RUM
Real user sessions, Web Vitals
APIs
Uptime, latency, status codes
Synthetics
Browser test automation, global probes
Integrations
Databases, containers, frameworks
AI Analysis
Root cause, correlation, remediation
CAPABILITIES
Every layer of your stack.
Monitored.
Ten purpose-built modules. One unified platform. Zero blind spots.
01
Infrastructure
Infrastructure Monitoring
Real-time visibility into server health, resource usage, and process performance. Know exactly what every host is doing at any moment.
- CPU, memory, disk, network
- Process monitoring & uptime
- Custom metrics pipeline
02
Logs
Log Monitoring
Centralize logs from every service. Search, filter, and alert in real time. Never miss a signal in the noise.
- Structured log ingestion
- Full-text search & filters
- Log-based alert rules
03
APM
Application Performance Monitoring
Trace requests end-to-end across every service. Find bottlenecks before your users do.
- Distributed tracing
- Error tracking & grouping
- Service response time analysis
04
RUM
Real User Monitoring
See exactly what your users experience in production. Core Web Vitals, JS errors, and session-level insights.
- Page load & Core Web Vitals
- JavaScript error tracking
- Session performance signals
05
API Monitoring
API Monitoring
Monitor every endpoint. Get alerted before SLAs are breached. Track latency from multiple global locations.
- Response time & uptime checks
- Status code alerting
- Multi-region probing
06
Synthetics
Synthetic Browser Testing
Simulate real user journeys before real users encounter them. Catch regressions the moment they ship.
- Playwright-powered browser tests
- Global test locations
- Screenshot & alert on failure
07
Databases
Database Monitoring
Track query performance, connections, and slow queries across all your databases.
- MySQL, PostgreSQL, MongoDB, Redis
- Slow query detection
- Connection pool monitoring
08
Containers
Container & Kubernetes Monitoring
Observe every pod, node, and namespace in your cluster. No exporters. No complex setup.
- Docker & Kubernetes native
- Pod restart detection
- Namespace resource breakdown
09
AI
AI Incident Analysis
When incidents happen, Watchlog AI correlates signals and explains root cause — not just what happened, but why.
- Cross-signal correlation
- Root cause detection
- Recommended remediation actions
10
LLM Monitoring
LLM / AI Traces
Monitor your AI pipelines. Track tokens, latency, model performance, and cost — at any scale.
- Token usage & cost tracking
- Prompt/response logging
- Model performance metrics
HOW IT WORKS
From signal to root cause.
Watchlog automates the journey from data collection to incident resolution.
01
Collect
Ingest metrics, logs, traces, and events from every layer of your stack.
02
Detect
Intelligent alerting surfaces anomalies before they become incidents.
03
Correlate
Connect signals across services, hosts, and time windows automatically.
04
Investigate
AI-powered root cause analysis with full context and recommendations.
05
Alert
Notify your team via Slack, PagerDuty, webhooks, Telegram, or email.
06
Resolve
Close the loop. Track MTTR. Learn from every incident.
INTEGRATIONS Connects to everything
Connects to everything
in your stack.
Native integrations with the tools modern engineering teams rely on.
Infrastructure
MongoDB
Redis
MySQL
PostgreSQL
NGINX
Docker
Kubernetes
Runtime
Node.js
Python
PHP
PM2
Frameworks
Laravel
Django
FastAPI
Frontend
React
Vue
WordPress
DevOps
GitLab
Don't see your stack? Watchlog supports custom metrics, webhooks, and an open agent SDK.
AI-POWERED ANALYSIS
AI that explains incidents,
not just summarizes them.
INCIDENT ANALYSIS SEVERITY: HIGH
Root cause detected
Memory leak in auth-service pod (3 of 5 replicas affected)
Correlated signals
CPU spike +340%OOM kills ×12Response latency +8200ms
Recommended actions
Scale auth-service replicas. Check for unbounded cache growth.
Cross-Signal Correlation
Connects logs, metrics, traces, and process data across your entire stack simultaneously.
Root Cause Detection
Identifies the most probable cause of an incident with confidence scoring and evidence links.
Recommended Actions
Suggests specific remediation steps based on historical patterns and system context.
Investigation Acceleration
Reduces mean time to resolution by surfacing relevant signals automatically.
Watchlog AI works across all your monitoring data — infrastructure, applications, databases, and custom signals.
ENTERPRISE
Built for serious teams.
Watchlog Enterprise gives your organization a private, fully managed observability platform.
Dedicated Server
Your own Watchlog instance. No shared infrastructure. Full data isolation.
Custom Domain
Deploy Watchlog on your domain. monitoring.yourcompany.com
Company Branding
Your logo, your colors, your platform. White-label ready.
Team Management
Role-based access, SSO support, and team-level permissions.
Unlimited Metrics
No metric caps on Enterprise. Monitor at any scale.
Managed Infrastructure
We handle the servers. You handle the incidents. Watchlog runs the platform.
Enterprise
Private Instance
Dedicated Infrastructure
Private Data Isolation
Unlimited Metrics & Logs
Fully Managed Platform
INCLUDES
- Custom domain deployment
- White-label branding
- SSO & role-based access
- SLA guarantees
- Dedicated support channel
Already on a team plan and need more? Talk to us about migration.
QUICK START
Start monitoring in minutes.
1# Install Watchlog agent
2sudo apiKey="$WATCHLOG_API_KEY" server="$WATCHLOG_SERVER" MEMORY="300M" bash -c "$(curl -L https://watchlog.io/ubuntu/watchlog-script.sh)"
3
4# Check agent status
5pm2 statusWHY WATCHLOG
Everything you need.
Nothing you don't.
Purpose-built for full-stack visibility. No extra tools. No fragmented dashboards.
| Capability | Watchlog | Complex enterprise tools | Basic uptime tools | DIY Grafana setup |
|---|---|---|---|---|
| Full-stack monitoring | ✓ | ✓ | ✗ | Partial |
| Developer-friendly setup | ✓ | ✗ | ✓ | ✗ |
| APM + RUM + Logs unified | ✓ | ✓ | ✗ | ✗ |
| AI incident analysis | ✓ | Partial | ✗ | ✗ |
| No infrastructure to maintain | ✓ | ✗ | ✓ | ✗ |
| Reasonable pricing | ✓ | ✗ | ✓ | Partial |
| Enterprise deployment | ✓ | ✓ | ✗ | ✓ |
01
Simpler than enterprise tools
Full-stack coverage without the enterprise complexity or price tag.
02
More powerful than uptime tools
Go beyond ping checks. Monitor every layer of your application.
03
Faster than DIY setups
No Grafana configs. No Prometheus setup. Just connect and monitor.
TRUSTED BY ENGINEERING TEAMS
What engineers say.
"
The AI incident analysis is genuinely useful. It doesn't just summarize — it actually pinpoints the service and recommends what to check first.
"
We moved from a self-hosted Grafana setup to Watchlog in a week. The time savings on maintenance alone paid for the subscription.
"
RUM and APM in one dashboard changed how we debug production issues. We can trace from the user's browser all the way to the database query.
"
The Kubernetes monitoring is solid. We can see every pod, restart event, and resource usage without setting up a bunch of exporters.
"
Enterprise deployment was smooth. Our own domain, our own data, our own branding. Watchlog handled the infrastructure side completely.
Trusted by teams at startups, scale-ups, and enterprise organizations worldwide.
FAQ
Common questions.
Watchlog is a full-stack observability platform that unifies infrastructure monitoring, log management, APM, RUM, API monitoring, synthetic testing, and AI-powered incident analysis in a single platform. It's built for engineering teams that need complete visibility without managing multiple tools.
Yes. Watchlog APM provides distributed tracing, error tracking, service maps, and response time analysis. It supports Node.js, Python, PHP, and other popular runtimes with automatic instrumentation.
Yes. Watchlog RUM captures real user sessions, page load performance, Core Web Vitals, and JavaScript errors in production. It integrates with your frontend via a lightweight SDK.
Yes. Watchlog has native support for Docker containers and Kubernetes clusters. You can monitor pods, nodes, namespaces, resource usage, and restart events with no additional exporters.
Watchlog supports MongoDB, Redis, MySQL, PostgreSQL, and more. It monitors query performance, connection pools, slow queries, and database-specific metrics.
Yes. Watchlog supports webhooks, Slack, Telegram, email, and PagerDuty for alert notifications. You can configure routing rules, escalation policies, and quiet hours per team.
Yes. Watchlog Enterprise includes a dedicated server, custom domain, company branding, team management, and managed infrastructure. Your data stays on your own isolated instance.
For infrastructure and host monitoring, yes — a lightweight Watchlog agent runs on your servers. For APM and RUM, you integrate via SDK. For API monitoring and synthetic tests, no agent is required — Watchlog probes from external locations.
Most teams are up and running in under 30 minutes. The agent installs in minutes, and the SDKs have minimal configuration. Enterprise deployments typically take 1-2 business days.
Watchlog offers transparent plans based on the number of hosts, log volume, and features. There's a free tier for getting started. Enterprise plans are custom-quoted based on your needs.
Get Started Start monitoring
Start monitoring
your stack today.
Join engineering teams that chose full-stack visibility over fragmented tools.
No credit card required Free tier available Enterprise plans available