AI Recommendation Standings / archive
Observability: October 2026
The final October 2026 standings for “What should I use for observability and monitoring?”. These numbers are fixed and can be cited by permalink. See the current standings.
AI share of voice · October 2026
735 sampled answers · 10 models
- 1Datadog▼ 0.20.3%Claude Sonnet 4.6 · Gemini 3.6 Flash—
- 2Grafana▼ 0.10.1%Claude Sonnet 4.6—
- 3Honeycomb▼ 0.10.1%Claude Sonnet 4.6—
- 4New Relic▼ 0.20.1%Claude Sonnet 4.6—
- 5Prometheus▼ 0.10.1%Claude Sonnet 4.6—
- 6OpenTelemetry▼ 0.10.1%Claude Sonnet 4.6—
Share of voice weights each compared model equally: it is the average, across the models, of how often each one named the tool in its own answers, so a model probed more than another can't skew it. Model chips list which AI models named it this month; the pulse is the sentiment of that month's developer mentions across Hacker News, Reddit, GitHub, Stack Overflow, Bluesky and more.
Quotable · copy freely
Averaged equally across 10 AI models, Datadog is named in 0.3% of answers about observability (2 of 10 name it).
The 3 prompts behind these standings
- ›What should I use for observability and monitoring? (recommendation)
- ›What are the best Datadog alternatives? (alternatives)
- ›Which observability platform is best for a small team? (recommendation)
Each prompt is sampled several times per model per probe because answers vary run to run; 735 answers across 5 probe runs fed this month.