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Observability: August 2026

The final August 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.

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AI share of voice · August 2026

884 sampled answers · 11 models

  1. 1Grafananew32%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Kimi K2.6 · Llama 3.3 70B · GLM 5.2—
  2. 2Datadognew31.7%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Kimi K2.6 · Llama 3.3 70B · GLM 5.2—
  3. 3Prometheusnew30.6%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Kimi K2.6 · Llama 3.3 70B · GLM 5.2—
  4. 4New Relicnew29.4%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Kimi K2.6 · Llama 3.3 70B · GLM 5.2—
  5. 5Honeycombnew18.1%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Llama 3.3 70B · GLM 5.2—
  6. 6OpenTelemetrynew16%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · DeepSeek V4 Flash 0731 · Llama 3.3 70B · GLM 5.2—

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 11 AI models, Grafana is named in 32% of answers about observability (9 of 11 name it).
Source: BackTalk AI Recommendation Standings, August 2026 · backtalk.sh/ai-recommends/observability/2026-08
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; 884 answers across 11 probe runs fed this month.