স্কিপ করে মূল কন্টেন্ট এ যান

⚖️ Why SigNoz Instead of Grafana or ELK?

SigNoz APM Dashboard

When setting up observability, most teams consider three options: SigNoz, Grafana Stack, or ELK Stack. Here's why SigNoz was chosen for this project and when each makes sense.

🔍 Side-by-Side Comparison​

FeatureSigNozGrafana StackELK Stack
Traces✅ Built-in✅ (Tempo — extra setup)❌ Not native
Metrics✅ Built-in✅ (Prometheus — extra setup)⚠️ Limited
Logs✅ Built-in✅ (Loki — extra setup)✅ Primary strength
Single tool✅ Yes❌ 3 separate tools❌ Log-focused
Setup complexity🟢 Low🟡 Medium–High🔴 High
Resource usage🟡 Medium🟡 Medium🔴 Heavy
OpenTelemetry native✅ Yes⚠️ Partially❌ No
Open-source✅ Yes✅ Yes✅ Yes

📦 Grafana Stack — What You'd Need​

To get the same features as SigNoz, you'd install and configure:

  1. Prometheus — for metrics collection
  2. Loki — for log aggregation
  3. Tempo — for distributed tracing
  4. Grafana — the dashboard UI that ties it all together

Each of those has its own config files, storage, ports, and maintenance. It's powerful, but for a small-to-medium team it's a lot of moving parts.

📦 ELK Stack — What You'd Need​

ELK = Elasticsearch + Logstash + Kibana

  • Great for logs only
  • Elasticsearch is very RAM-hungry (2–4 GB minimum recommended)
  • Scaling it is complex
  • Not designed for traces or metrics out of the box

💡 In this VM, Elasticsearch and Kibana are already running for other purposes. Adding them again for SigNoz's observability would duplicate resources. SigNoz uses ClickHouse instead — much lighter for telemetry data.

✅ Why SigNoz Was Chosen​

  1. One tool = one install, one dashboard, one learning curve
  2. OpenTelemetry native = industry-standard instrumentation, no vendor lock-in
  3. ClickHouse backend = fast columnar storage optimized for telemetry queries
  4. Self-hosted = data stays on your VM, no external billing
  5. Simpler ops = for a team already managing many services, fewer tools to monitor

🤔 When to Choose Something Else​

SituationBetter Choice
You already have a mature Grafana setupStick with Grafana
Your team only needs log searchingELK is excellent for that
You want zero ops overheadSigNoz Cloud or Datadog
Kubernetes + advanced dashboardsGrafana + Prometheus is more mature

Read in Sequence​