Every feature you need.
Nothing you don't.
Rectifyr delivers industry-standard observability features with an AI-first twist. Below you'll find a complete feature list and a parity checklist against leading vendors.
Why Rectifyr?
Rectifyr is a stylized rectifier — a device that converts AC to DC. It also means to correct or put right. Drawn from Latin emendo (correct, repair) and praesidium (protect, guard), the name embodies our mission:
Rectify problems. Protect systems. Rectifyr is your DevOps Copilot.
Ingestion & Protocols
OTLP gRPC & HTTP
Receive traces, metrics, and logs over OpenTelemetry's native OTLP protocol using industry-standard ports 4317 (gRPC) and 4318 (HTTP).
Prometheus Remote Write
Scrape Prometheus endpoints or accept remote_write pushes directly into Rectifyr metrics storage — no extra collector required.
Syslog / Fluent Bit
Ship logs from legacy systems, Kubernetes pods, or Docker containers via Fluent Bit, Fluentd, or raw syslog forwarding.
StatsD & DogStatsD
Drop-in compatible with existing StatsD or DogStatsD instrumented applications — no code changes needed.
Kubernetes Auto-discovery
Auto-discovers pods, deployments, and services in your cluster. Enriches all telemetry with Kubernetes metadata labels.
AWS / GCP / Azure integrations
Pull CloudWatch metrics, GCP Cloud Monitoring, or Azure Monitor data into a unified view alongside your custom instrumentation.
Log Management
Structured log parsing
Automatic JSON, logfmt, and regex-based parsing. Nested fields are indexed for instant filtering without schema migration.
Full-text search
Sub-second full-text search across billions of log events powered by ClickHouse's vectorized execution engine.
Log patterns & clustering
AI-powered log clustering groups similar messages so you see signal instead of noise, even during incident spikes.
Live tail
Real-time streaming log view with regex filtering. Useful for debugging deployments without switching terminals.
Log archiving
Cold-tier archiving to MinIO / S3 for compliance and long-term retention at a fraction of hot-tier storage cost.
AI log summarization
Ask in plain English: "Summarize errors from the auth service in the last hour" and get a concise, cited answer.
Metrics & Time Series
Gauges, counters, histograms
Full support for all OTel metric types including exponential histograms for accurate percentile calculation.
High-cardinality labels
ClickHouse columnar storage handles millions of unique label combinations efficiently — no cardinality tax.
Formulas & derived metrics
Compute error rates, saturation, latency percentiles, and custom KPIs using a SQL-like expression engine.
Infrastructure metrics
Built-in dashboards for host CPU, memory, disk, and network. Kubernetes node and pod-level metrics included.
APM metrics
Automatic RED metrics (Rate, Errors, Duration) per service, endpoint, and database call derived from trace data.
Metric forecasting
ML-powered forecasts predict future metric values so you can provision capacity before limits are hit.
Distributed Tracing & APM
End-to-end trace visualization
Flame graph and Gantt-style waterfall views. Drill from a slow request straight to the offending DB query or API call.
Service maps
Auto-generated topology maps show dependencies, error rates, and throughput between every service in your stack.
Database query analysis
Capture slow queries, N+1 patterns, and missing indexes from MySQL, PostgreSQL, Redis, MongoDB and more.
Trace sampling & tail sampling
Configurable head and tail sampling strategies to control storage costs without losing critical error traces.
Correlated logs + traces
Jump from a trace span directly to the logs emitted during that span — full context in one click.
Continuous profiling
Always-on CPU, memory, and goroutine profiling attached to traces. Pinpoint the exact line of code causing latency.
Real User Monitoring (RUM)
Core Web Vitals
Track LCP, FID/INP, CLS, TTFB, and FCP across real user sessions by device, browser, and geography.
Session replay
Privacy-respecting session recording lets you reproduce user-reported bugs with full DOM replay, no PII leakage.
User journey funnels
Define conversion funnels and measure drop-off rates at every step. Correlate UX friction with backend errors.
Frontend error tracking
JavaScript error capture with source map upload for de-minified stack traces. Grouped by fingerprint to eliminate duplicates.
Browser-to-backend correlation
RUM traces are automatically connected to backend spans so you can follow a slow page load all the way to the database.
Lightweight JS snippet
Single <2 KB script tag (async) with no performance impact. Compatible with all major frameworks and SPAs.
AI & Intelligent Automation
GitHub Copilot MCP server
An always-available MCP endpoint lets Copilot query Rectifyr data in context. Ask questions about your system without leaving the IDE.
Claude, Openclaw & OpenAI Codex
Works with any MCP-compatible LLM client. Claude Code, Openclaw, and Codex can scaffold OTel configs and maintain them in CI/CD.
AI-driven onboarding
New users answer a few questions; Rectifyr AI generates a complete SDK setup, ingest pipeline, and starter dashboard automatically, including local-model workflows with Ollama and LM Studio.
Anomaly detection
Learns per-metric baselines over rolling windows. Detects statistical deviations before they cross hard thresholds.
Seasonal baseline adjustment
Auto-adapts thresholds to weekly, daily, and custom seasonal patterns so alerts fire on true anomalies, not expected traffic spikes.
Automated fix proposals
When an issue is detected, Rectifyr creates a GitHub Issue with an AI-drafted fix PR. Engineers review and approve before any change is applied.
How Rectifyr compares
Rectifyr ships all the signals and workflows you'd expect from leading observability vendors, at a fraction of the cost.
| Capability | Rectifyr | Datadog | New Relic | Grafana Cloud |
|---|---|---|---|---|
| Logs, Metrics, Traces unified | ||||
| Native OTLP ingest | ||||
| Real User Monitoring | ||||
| Anomaly detection | ||||
| Continuous profiling | ||||
| GitHub Copilot / AI assistant MCP | ||||
| AI-generated fix proposals + PR workflow | ||||
| Seasonal baseline automation | ||||
| Opensource / self-hostable | ||||
| Free tier (no credit card) | ||||
| No per-host pricing surprises | ||||
| Starting price (team of 5) | $49/mo | ~$180/mo | ~$99/mo | ~$50/mo |
Competitor pricing and feature availability are approximate, based on publicly available information as of Q2 2025, and may not reflect subsequent product changes — this table is provided for general orientation only and isn't warranted for accuracy. Always verify current pricing and features directly with the vendor before making a purchasing decision. Spot something outdated? Let us know at support@rectifyr.io and we'll correct it.
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