Source: Dev.to | Dec 29, 2025 (UTC)
My team recently moved from New Relic to OTEL. So, I decided to build a tool that teaches them PROMQL by going through several common scenarios. This could be a game-changer for teams that are migrating from paid SaaS observability tools to in-house monitoring.
Introducing PROMQL Playground
An interactive learning environment for Prometheus Query Language (PromQL). Write queries, visualize results, and learn PromQL concepts through hands-on examples.
- Interactive Query Editor – Monaco-based editor with syntax highlighting and autocomplete
- Real Prometheus Data – Connects to demo.promlabs.com for real metrics
- Visualizations – Time series graphs with zoom, pan, and series filtering
- Learning Scenarios – Guided tutorials covering PromQL concepts
- Query Explanation – Step-by-step breakdown of query execution
- Function Reference – Documentation for all PromQL functions
The playground includes guided scenarios to learn PromQL:
- Getting Started – Basic queries, metrics, and labels
- Error Rate Tracking – Monitor 4xx/5xx errors, calculate SLIs
- HTTP Request Analysis – Request rates, throughput, grouping
- Latency Analysis – Histograms, percentiles, p50/p95/p99
- Resource Usage – CPU, memory, disk monitoring
- Aggregation Deep Dive – sum, avg, max, min, count
- Top/Bottom Analysis – topk, bottomk for rankings
- Time Comparisons – Using offset for historical comparisons
- Rate Windows – Understanding rate() window sizes
The demo server (demo.promlabs.com) provides these metrics:
Metric
Type
Description
demo_api_request_duration_seconds
Histogram
HTTP request latency
demo_api_http_requests_in_progress
Gauge
Current in-flight requests
demo_cpu_usage_seconds_total
Counter
CPU time consumed
demo_memory_usage_bytes
Gauge
Memory usage
demo_disk_usage_bytes
Gauge
Disk space used
demo_disk_total_bytes
Gauge
Total disk space
demo_items_shipped_total
Counter
Business metric example
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