Observability for your
team, and AI agents.
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Fast Troubleshooting.
No Context Switching.
Debug faster with correlated signals
Move from a latency spike to the related logs, traces, metrics, and spans without stitching together separate tools.
Instrument once with OpenTelemetry
Use open standards instead of vendor SDKs, so instrumentation stays portable as your stack changes.
Query telemetry on a columnar store
Use query builder, PromQL, and ClickHouse SQL on a fast columnar datastore built for high-cardinality observability data.
Give AI agents telemetry they understand
One OpenTelemetry-native source gives agents a known schema for traces, logs, metrics, and services, so they can debug with less translation.
Flexible deployment options
Use SigNoz Cloud, self-hosted, or managed deployments while keeping the same OpenTelemetry-native model.
One-stop platform for all
your observability needs.
Move from symptoms to evidence across APM, logs, traces, infra, LLM telemetry, alerts, and dashboards.
Explore docs->
Enterprise ready
Built secure, from day one.
SOC 2 Type II compliance
HIPAA compliance
Agent-native observability,
inside your IDE and SigNoz.
Use the SigNoz MCP server to bring telemetry into coding agents, or use Noz, your AI teammate inside SigNoz, to investigate incidents, tune alerts, and build dashboards with the same production context your team sees.
Explore MCP and NozWork with
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Show me the top operations for the frontend service. For each endpoint, compare p99 latency and error rate from the 30 minutes before 10:00 AM PST vs the 30 minutes after. Flag anything that degraded.
*Channelling
*Contemplating
*Metamorphosing
Let me check SigNoz for frontend service operations before and after 10:00 AM PST.
Loaded tools, used SigNoz MCP Server integration ›
Pulled p99 latency, call volume, and error-rate signals for the top operations.
Frontend service - Top operations comparison (30 min before vs after 10:00 AM PST)
Things that degraded after deployment:
-GET /api/products/[productId] - p99 rose 35% and error rate jumped from 0% to 14.4%.
-GET /api/cart - error rate spiked from 0.09% to 2.0%, a 22x increase.
-GET /api/recommendations - p99 jumped 52%, the largest latency regression.
Pricing that stays predictable
as you scale.
Add teammates freely, monitor autoscaling infrastructure, and estimate telemetry costs before you commit.
View pricing->No host-based pricing
Autoscale infrastructure without turning every node, container, or host into a billing surprise.
No user-based pricing
Bring engineering, support, and on-call teams into SigNoz without seat limits or seat math.
Simple usage pricing
Send any mix of logs, traces, and metrics. Pay for telemetry volume, not custom metrics complexity.
Most teams start with OpenTelemetry instrumentation or the OpenTelemetry Collector. For Kubernetes, the SigNoz Helm chart can collect cluster metrics, logs, and traces; for AWS, CloudWatch logs can be routed to SigNoz Cloud. Your exact path depends on language, cloud, and whether you use SigNoz Cloud or self-host.
Yes, for teams that want logs, metrics, traces, dashboards, alerts, and infrastructure monitoring in one OpenTelemetry-native product. Many migrations start by sending OpenTelemetry data to SigNoz, then rebuilding the dashboards, alerts, and incident workflows that matter most.
SigNoz pricing is usage based. There is no user-based pricing, no host-based pricing, and no special pricing for custom metrics. Teams can estimate cost from expected logs, traces, metrics volume, and retention with the pricing calculator, then use ingestion controls to drop noisy telemetry before it is stored.
Yes. SigNoz supports Cloud, open-source self-hosting, and enterprise options including dedicated cloud, bring-your-own-cloud, and self-hosting with support. Enterprise plans are built for teams that need data residency, compliance reviews, SSO, migration help, or stronger deployment control.
Yes. SigNoz supports alerts on metrics, logs, traces, exceptions, anomaly detection, and Apdex. You can send notifications to channels like Slack, PagerDuty, Opsgenie, MS Teams, email, or webhooks, and use routing policies to send alerts to the right team based on labels such as service, severity, or environment.
SigNoz keeps logs, traces, metrics, exceptions, dashboards, and alerts connected in one workspace. Teams can move from a latency spike to related traces, from a trace to surrounding logs, or from an alert to the service and attributes behind it without stitching context across separate tools.
