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SaaS Monitoring – Sentry vs DataDog vs Grafana
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TL;DR: Monitoring your SaaS is critical for reliability. Here’s the honest tool comparison.

What to Monitor

Errors: exceptions in code.

Performance: response times, throughput.

Infrastructure: CPU, memory, disk.

Business: signups, revenue, activation.

User experience: real user monitoring.

Sentry – Error Tracking

Best in class for errors.

Real-time alerts.

Stack traces with source maps.

User impact tracking.

Cost: $26/mo starter, scales with events.

DataDog – All-in-One

Full observability platform.

Metrics, logs, traces in one place.

Powerful dashboards.

Expensive at scale.

Cost: $15-31/host/month + logs, APM.

Grafana – Open Source

Visualization for metrics.

Combines with Prometheus, Loki, Tempo.

Self-hosted or cloud.

Cheaper long-term, more setup.

Cost: free self-host, $8/mo cloud starter.

New Relic

APM focus.

Full stack observability.

Better than DataDog for some use cases.

Similar pricing model.

Elastic Stack

ELK: Elasticsearch + Logstash + Kibana.

Powerful for logs and search.

Self-hosted or cloud.

Complex to run at scale.

Uptime Monitoring

Basic requirement: is site up?

Tools: UptimeRobot (free), Pingdom, Better Uptime.

Multi-region checks.

Alert routing (Slack, PagerDuty).

Real User Monitoring (RUM)

Track actual user experience.

Page load times per user.

Core Web Vitals.

Tools: DataDog RUM, Sentry Performance, LogRocket.

Session Replay

Watch user sessions.

Debug UX issues.

See errors in context.

Tools: LogRocket, FullStory, Sentry Session Replay.

Log Management

Centralized logs.

Search and analyze.

Tools: DataDog Logs, LogTail, Papertrail.

Cost scales with volume.

Alerting Strategy

Not everything is alertable.

Only actionable alerts.

Severity levels.

On-call rotation.

Runbooks for common issues.

What Metrics Matter

Response time percentiles: p50, p95, p99.

Error rate: percentage of failed requests.

Throughput: requests per second.

Saturation: how full is capacity.

Business metrics tied to reliability.

Cost Considerations

Free tiers usually adequate for MVP.

Costs grow with traffic and data.

Sample high-volume events.

Retention: how long to keep data.

Our Recommendation

MVP: Sentry (errors) + UptimeRobot (uptime).

Growing: add DataDog or Grafana Cloud.

Scale: full stack (DataDog or Grafana + Prometheus).

Enterprise: everything above.

Implementation Tips

Start with essentials.

Add gradually as needed.

Don’t try to monitor everything from day 1.

Iterate based on incidents.

Document your setup.

Based on Real Projects

This guide is based on our work with:

Further Reading

If this guide helped you, you might also want to read our comprehensive guide on Custom SaaS Development.

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מחשבון פיתוח חכם

1. מה בונים?
אתר תדמית
חנות איקומרס
מערכת SaaS
אפליקציה
2. טכנולוגיה מועדפת
Vibe Coding (AI)
Custom Code
WordPress
Shopify
Wix / Webflow
React Native
3. שדרוגים
כתיבת תוכן
אוטומציות AI
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