Unified Observability

Transform your monitoring from fragmented silos to seamless insights with SigNoz's single-pane unified observability platform.

Where Metrics, Traces, and Logs Unite for Faster Resolution

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Unified observability is a comprehensive approach that consolidates various monitoring data—such as logs, metrics, and traces—into a single platform. This integration provides a holistic view of system health and performance, enabling teams to detect and resolve issues more efficiently. By breaking down data silos, unified observability facilitates better collaboration across development, operations, and security teams, leading to enhanced system reliability and a superior user experience.

Metrics

System performance indicators

Traces

Request flow tracking

Logs

System event records

Unified Observability Platform

Metrics

Traces

Logs

All Signals in One Single Pane

Enhanced System Reliability

Better Team Collaboration

Superior User Experience

Traditional Approach: Fragmented Tools & Complex Environments

Many organizations struggle with disconnected observability tools. Each team operates in isolation:

Metrics team manages Prometheus without trace context.

Tracing team runs Jaeger/Zipkin without metric correlation.

Logging team handles ELK/Splunk without trace linking.

Result: Slower resolution times, missed insights, and team friction.
In multi-cloud environments, each cloud provider has its own monitoring tools, creating a need for centralized data collection to achieve true unified observability.

Fragmented Tools Diagram — Traditional fragmented setup with disconnected monitoring tools

SigNoz: Unified Observability Platform Powered by OpenTelemetry

Unified observability is more than just monitoring—it's about gaining a comprehensive understanding of your entire system's health, performance, and behavior in real-time. SigNoz brings together metrics, traces, and logs into a single, cohesive platform, enabling you to:

Quickly identify and resolve issues across your entire stack spanning multiple clouds.

Automatic correlation between different data types.

Make data-driven decisions with confidence.

Reduce mean time to resolution (MTTR).

SigNoz Platform — SigNoz unified observability platform bringing metrics, traces and logs together

Why OpenTelemetry?

SigNoz collects telemetry with OpenTelemetry - a single open source standard for instrumenting cloud native applications. Using OpenTelemetry future-proofs your observability needs:

Frees you from vendor lock-in.
Semantic conventions ensure consistent data collection across different services and languages.
Extensive language support with SDKs for all major programming languages.
Active community and industry backing from major cloud providers.

Why Choose SigNoz as Your Unified Observability Platform?

Complete Visibility

Get full-stack observability with metrics, traces, logs, and exceptions in one unified platform

Cost-Effective Solution

Eliminate expensive vendor lock-in with our open-source approach

Built on top of OpenTelemetry

Future-proof your observability with the fastest-growing observability standard

Custom Dashboards

Create tailored views for different teams and use cases or use templates provided by SigNoz

Flexible Deployment

Choose between self-hosted deployment for complete control or cloud offering for convenience

Need for Unified Observability

Imagine your e-commerce platform experiencing issues across multiple microservices. Without a unified observability platform, identifying the root cause of service outages becomes a complex challenge:

Unified vs Fragmented Observability — Comparison between unified and fragmented observability approaches

Multiple services showing alerts, with Auth, API, and User services all failing. There's no clear indication of which service failed first, leaving teams scrambling to find the root cause.

This is the reality of modern architectures:

Microservices spanning multiple clouds.
Complex container orchestration.
Serverless functions triggering in chains.
Each service generating its own telemetry data.

How it affects your users and business:

Periodic latency spikes affecting user experience.
High query response times impacting sales.
Teams working in silos with incomplete data.
Lost Revenue and Brand reputation at stake.

How SigNoz transforms this chaos into clarity

Unified Observability with SigNoz — SigNoz provides a unified view of your entire system's observability data

Platform Response:

Automatic correlation of service dependencies
Instant identification of failure points
Clear visualization of cascading impacts
All through one unified dashboard

Development Team Benefits:

Immediate root cause visibility
Direct correlation with code deployments
Comprehensive performance context
Single-pane investigation workflow

The difference is clear:

Without Unified Observability: Multiple disconnected alerts across services with no clear cause-effect relationship.

With Unified Observability: Immediate root cause identification with clear service dependency visualization.

This unified approach means:

No more context switching between tools
Instant correlation of metrics, traces, and logs
Fast root cause analysis through service dependency mapping
Development and platform teams working from the same context

Best Practices for Unified Observability

1. The Three Pillars

Implement metrics, traces and logs for complete visibility

Metrics

Monitor system-level indicators
Track business KPIs
Set up proactive alerts

Traces

Track request flows across services
Identify performance bottlenecks
Debug distributed transactions

Logs

Capture detailed system events
Debug application issues
Maintain audit trails

Learn more about a better way to think about observability →

2. Observability-Driven Development

Build observability into your development process from day one

Select the right tools and integrations

Design with observability in mind

Instrument using OpenTelemetry

Create meaningful metrics and spans

Establish clear logging practices

3. Clear Processes

Define and maintain consistent observability practices

Define service level objectives (SLOs)

Create runbooks for common scenarios

Implement thoughtful alert thresholds

Regular review and optimization

Role of AI in Unified Observability

AI and machine learning have transformed observability by automating issue detection and resolution in complex systems:

Automated Pattern Recognition and Anomaly Detection

Predictive Analytics for Proactive Issue Prevention

Intelligent Alert Correlation and Noise Reduction

Continuous Learning and Improvement of Insights

SigNoz offers Anomaly Detection that enables smarter alerts based on dynamic metrics, moving beyond traditional fixed thresholds.

Anomaly Detection in SigNoz — Anamoly Detection Alert in SigNoz

Get started with Unified Observability

1. Quick SetUp

SigNoz cloud is the easiest way to run SigNoz. Sign up for a free account and get 30 days of unlimited access to all features.

You can also install and self-host SigNoz yourself since it is open-source. With 19,000+ GitHub stars, open-source SigNoz is loved by developers. Find the instructions to self-host SigNoz.