Prometheus vs New Relic

The time-series king for monitoring, if you don't mind writing queries that look like alien hieroglyphics meets the observability swiss army knife that'll make your logs sing, but might also singe your wallet. Here's our take.

Prometheus

Nice Pick

The time-series king for monitoring, if you don't mind writing queries that look like alien hieroglyphics.

Pros

• Powerful multi-dimensional data model with labels for flexible metric organization
• PromQL query language allows for complex, real-time data analysis and alerting
• Open-source and integrates seamlessly with Kubernetes and other cloud-native tools

Cons

• Long-term storage is a pain, often requiring external solutions like Thanos or Cortex
• Steep learning curve for PromQL, making it tricky for beginners to master

New Relic

The observability Swiss Army knife that'll make your logs sing, but might also singe your wallet.

Pros

• Full-stack monitoring with easy integration for metrics, logs, and traces
• Powerful APM tools that actually help you debug in production
• User-friendly dashboards that even ops teams can love

Cons

• Pricing can get eye-wateringly expensive as you scale
• Sometimes feels like you're drowning in data without clear actionable insights

The Verdict

These tools serve different purposes. Prometheus is a devtools while New Relic is a ai coding tools. We picked Prometheus based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Prometheus wins

Based on overall popularity. Prometheus is more widely used, but New Relic excels in its own space.