go_bunzee

Choosing the Right Monitoring | 매거진에 참여하세요

questTypeString.01quest1SubTypeString.04
publish_date : 25.07.24

Choosing the Right Monitoring

#Monitoring #DevOps #Observabil #Datadog #Grafana #SigNoz #APM #Pricing #Tooling #Infra

content_guide

Datadog vs SigNoz vs Grafana: Observability Is Not a Luxury—It’s Survival

Modern applications don’t run on a single server anymore.

They run across dozens of microservices, handling hundreds of APIs, and serving thousands of concurrent user requests in real-time.

In this complex environment, observability isn’t optional—it’s existential.

And observability isn’t just logs.

It’s the unified visibility across metrics, logs, and traces, allowing you to see your system’s behavior as a whole.

Three tools lead the charge in this domain: Datadog, Grafana, and SigNoz.
Each evolved from different roots, but they’re converging on the same goal—complete visibility.

1. Datadog: The King of SaaS-Based Observability

Datadog has become the go-to platform for cloud-native monitoring.
As a fully-managed SaaS tool, it offers a powerful all-in-one observability suite—covering APM, infrastructure, logs, security, RUM (Real User Monitoring), and more.

Key Features:

  • - Auto-instrumentation with support for many languages

  • - Unified dashboards and alerting systems

  • - Full-text search across logs

  • - Collaborative tools like annotations and shared views

  • - Deep cloud integrations (AWS, GCP, Azure, etc.)

The biggest strength? Ease of use.
Datadog is beginner-friendly and fast to onboard—perfect for startups and enterprises alike.

The catch?

It gets expensive.
As traffic and data grow, costs scale aggressively.

For high-volume workloads, Datadog can become a budget concern.

2. Grafana: The Open Source Visualization Champion

Grafana began as a dashboard tool for time-series data.
It connected to Prometheus, InfluxDB, Elasticsearch, and displayed beautiful visualizations.

Now? It’s evolved into a full observability stack, with its own cloud platform and open-source ecosystem.

Core Components:

  • - Grafana: Dashboard UI

  • - Prometheus: Metrics

  • - Loki: Logs

  • - Tempo: Traces

  • - Mimir: Scalable metrics backend

Strengths:

  • - Highly customizable and plugin-rich

  • - Fully open-source and cost-effective

  • - Self-hosting offers complete control

Challenges:

  • - Setting up the full Grafana stack requires DevOps expertise.
    - It’s powerful—but not plug-and-play. For teams without infra experience, the learning curve can be steep.

3. SigNoz: The Indie Open Source Challenger

SigNoz is a rising star in the observability space, coming out of India with a bold mission:
To offer an open source APM solution that blends the best of Datadog and Grafana.

Built on OpenTelemetry, SigNoz supports full observability—metrics, traces, and logs—while remaining lightweight and self-hosted.

Highlights:

  • - Automatic instrumentation with OpenTelemetry

  • - Intuitive UI modeled after Datadog

  • - Docker-based local install

  • Supports logs, traces, APM—all in one platform

  • Full open-source + paid enterprise option

SigNoz is a great fit for teams who want a self-hosted solution that’s easier than Grafana and cheaper than Datadog.

Side-by-Side Comparison

Feature

Datadog

Grafana Stack

SigNoz

Deployment

SaaS (Managed)

Self-hosted or Cloud

Self-hosted (Docker)

Onboarding

Easiest

Complex

Medium

Pricing

Expensive at scale

Free + optional paid tier

Free + affordable paid

Key Features

APM, RUM, Logs, Sec

Metrics, Logs, Traces

APM, Logs, Traces

Community

Enterprise-heavy

Massive OSS community

Growing, startup-focused

Extensibility

Native integrations

Plugin-based flexibility

Rapid evolution

Monitoring Reflects Your Team's Identity

All three tools are excellent.
The right one depends on your team’s skillset, budget, and operational goals.

  • - Choose Datadog if you want to get started fast, with little infrastructure overhead.

  • - Choose Grafana if you prioritize customization and cost control.

  • - Choose SigNoz if you want the best of both worlds—self-hosted, intuitive, and open-source.

Final Thought: You Can’t Improve What You Can’t Observe

Monitoring isn’t just about uptime or latency metrics.

It’s about closing the loop between issue detection, root-cause analysis, and product improvement.

And the more clearly you see, the better you can build.