The Problem
Single-point tools create hidden complexity
Multiple monitoring accounts, scattered telemetry, and costs that grow exponentially as you scale. Teams waste hours context-switching between siloed dashboards while real signals drown in alert noise.
The Solution
One platform designed to work together from the start
Senzor unifies infrastructure monitoring, application performance, user experience analytics, and incident response. No data stitching, no webhook logic — correlated telemetry by default with native OpenTelemetry support.
Where Senzor Fits in Your Product Lifecycle
Build
Develop & instrument
Deploy
Ship & validate
Operate
Run in production
Respond
Investigate & resolve
Saved Views
Your operational data, perfectly organized.
Construct bespoke control panels by aggregating metrics, logs, and traces across your entire stack. Drag, drop, and resize visualizations in a unified canvas.
- Cross-service data aggregation
- Interactive time-series and categorical charts
- Native Safe MQL filtering engine
- Strict tenant data isolation
Infrastructure Monitoring
Complete visibility into your compute fleet.
Track the health of your servers, containers, and virtual machines. Monitor CPU, memory, disk I/O, and network throughput with high-fidelity, low-footprint agents.
- Real-time CPU and Memory utilization
- Storage and Disk I/O analytics
- Per-process resource tracking
- Secure, outbound-only telemetry
Database Observability
Optimize your persistent storage layer.
Uncover slow queries, monitor connection pools, and track operations per second. Gain deep insights into how your applications interact with your databases.
- Query latency profiling
- Active connection monitoring
- Throughput and operations mapping
- Support for MongoDB & Redis
Queue Monitoring
Keep your message queues flowing.
Monitor backlog, throughput, consumers, oldest-message age, and dead letters across BullMQ, RabbitMQ, Kafka, and AWS SQS — agentless or via a lightweight in-network collector. Correlate a growing backlog to the exact consumer executions behind it.
- Backlog, throughput & drain-ETA tracking
- Dead-letter & consumer-lag observability
- BullMQ, RabbitMQ, Kafka & AWS SQS
- Agentless polling or in-network collector
Firebase Monitoring
Complete visibility into your Firebase Auth layer.
Monitor your Firebase Authentication infrastructure in real time. Track user growth, sign-in activity, MFA adoption, and auth provider distribution with encrypted, agentless credential polling.
- User growth and signup trend analytics
- Daily and monthly active user tracking
- MFA enrollment and email verification rates
- Auth provider distribution breakdown
Web Analytics
Product-grade insights, privacy-first.
Go beyond page views without compromising privacy. Track custom events and conversions, build multi-step funnels, segment by any dimension, and follow user journeys — with campaign attribution and cohort retention, and zero cookies.
- Custom events, funnels & conversion goals
- Click-to-filter segmentation, UTM campaigns & retention
- Realtime, period comparison & user journeys
- Cookie-less, GDPR-compliant, with a query & CSV export API
Real User Monitoring
Measure exactly what your users experience.
Capture client-side performance bottlenecks. Monitor Core Web Vitals at p75, drill into individual session timelines, and de-minify frontend exceptions with your own source maps.
- Core Web Vitals at p75 (LCP, INP, CLS)
- Per-session timelines & page-load traces
- Source-mapped, de-minified stack traces
- Rage click & UX frustration metrics
Application Performance Monitoring
Trace requests across distributed architectures.
Follow every request as it traverses your microservices. Identify latency bottlenecks, analyze upstream dependencies, and optimize your backend logic.
- Zero-configuration distributed tracing
- End-to-end trace waterfall visualizations
- Automatic framework instrumentation
- Database and external API profiling
AI Monitoring
LLM observability — cost, tokens, latency & traces.
A first-class observability pillar for AI. Track spend, token usage, latency and errors across every model and provider, with full multi-step traces, per-user and per-session cost attribution, and opt-in prompt/output capture.
- Server-side cost & token accounting per model
- Auto-instrumentation for OpenAI, Anthropic, Gemini, the Vercel AI SDK, LangChain & more
- Multi-step agent / RAG trace waterfalls
- Quality scores, evals & user feedback
Background Task Monitoring
Secure your asynchronous workloads.
Ensure your queues, cron jobs, and background workers are operating reliably. Track execution times, monitor failure rates, and analyze retry behaviors.
- Queue depth and processing latency
- Job failure and retry analytics
- Worker node health tracking
- Dead-letter queue detection
Global Error Tracking
Catch exceptions before your users do.
Automatically capture, fingerprint, and group unhandled exceptions across your entire stack. View full stack traces and contextual environment data.
- Intelligent error fingerprinting
- Full stack trace terminal capture
- Cross-service impact analysis
- Resolution state tracking
Centralized Log Management
Search millions of logs in milliseconds.
Aggregate logs from every service and server into a single, searchable stream. Use our powerful query engine to filter by severity, trace context, or custom attributes.
- High-throughput log ingestion
- Advanced filtering engine (MQL)
- Automatic trace correlation
- Live-tail streaming capability
Uptime Monitoring
Verify external availability.
Continuously verify that your APIs and web properties are accessible from the outside world. Track response times globally.
- High-frequency synthetic checks
- Global latency tracking
- Endpoint health validation
- Downtime incident recording
Status Boards
One shareable status page for your whole stack.
Compose your uptime monitors into a centralized, drag-and-drop board with resizable cards and range-aware availability stripes — then publish it as a public, view-only status page.
- Centralized, multi-monitor overview
- Drag-to-arrange, resizable cards
- Range-aware uptime & latency
- Public, revocable, expiring share links
AI Assistant
Investigate incidents in plain English.
Ask questions about your telemetry and let the built-in agent investigate for you. It reasons step by step, queries your traces, logs, metrics, and errors with live tool calls, and returns a grounded answer — with every reasoning step and data source kept visible and auditable. Run it on a fully in-browser model for total privacy, your own cloud key, or a self-hosted endpoint.
- Agentic root-cause investigation across your full stack
- Transparent, auditable reasoning and tool-call trace
- Run locally in-browser, bring your own key, or self-host
- Optional history — keep conversations off the server
MCP Server
AI-driven operational intelligence.
Seamlessly integrate your telemetry data with advanced Large Language Models. Use the Model Context Protocol to query, summarize, and analyze incidents using natural language.
- Secure Model Context Protocol integration
- Natural language telemetry querying
- Automated incident summarization
- Granular API key access controls
Alerts & Incident Routing
Know immediately when things break.
Define complex alert policies across all your telemetry streams. Route critical incidents to your team via Webhooks, Slack, or Email before customers notice.
- Multi-condition threshold evaluation
- Cross-channel notification routing
- Incident lifecycle management
- MQL-based custom alert triggers
Native OpenTelemetry Support
Vendor-neutral telemetry ingestion.
Stream traces and metrics directly from your Go, Java, Python, or Rust applications without proprietary agents. We natively translate OTLP payloads into our specialized dashboard schemas.
- OTLP HTTP compatible endpoints
- Automatic trace and log translation
- Zero-config APM & Task monitoring
- Standard Semantic Conventions support