{"question": "best application performance monitoring for startups", "category": "application-performance-monitoring", "category_name": "application performance monitoring", "audience": "startups", "audience_name": "startups", "engine": "Claude (Anthropic) with web search", "model": "claude-opus-5", "asked_at": "2026-10-24T00:58:03Z", "permalink": "https://bikoosh.com/answers/s/application-performance-monitoring-startups-2026-10-24", "question_page": "https://bikoosh.com/answers/q/application-performance-monitoring/startups", "brands_named": [{"position": 1, "brand": "Sentry", "label": "mentioned"}, {"position": 2, "brand": "Datadog", "label": "mentioned"}, {"position": 3, "brand": "Grafana", "label": "mentioned"}, {"position": 4, "brand": "Grafana Cloud", "label": "mentioned"}, {"position": 5, "brand": "Cloud", "label": "mentioned"}, {"position": 6, "brand": "APM", "label": "mentioned"}, {"position": 7, "brand": "OpenTelemetry", "label": "mentioned"}, {"position": 8, "brand": "New Relic", "label": "mentioned"}, {"position": 9, "brand": "SigNoz", "label": "mentioned"}, {"position": 10, "brand": "per-seat", "label": "mentioned"}, {"position": 11, "brand": "Honeycomb", "label": "mentioned"}, {"position": 12, "brand": "multi-year", "label": "mentioned"}, {"position": 13, "brand": "Sentry + Grafana Cloud", "label": "mentioned"}], "sources_cited": [{"url": "https://www.techinterview.org/post/3233475444/datadog-vs-new-relic-vs-grafana/?format=md", "domain": "techinterview.org", "source_type": "other"}, {"url": "https://cubeapm.com/blog/signoz-vs-sentry-vs-cubeapm/", "domain": "cubeapm.com", "source_type": "other"}, {"url": "https://signoz.io/pricing", "domain": "signoz.io", "source_type": "vendor"}, {"url": "https://oneuptime.com/blog/post/2026-03-17-datadog-bill-shock-real-cost-observability-2026/markdown", "domain": "oneuptime.com", "source_type": "vendor"}, {"url": "https://openobserve.ai/blog/datadog-pricing.md", "domain": "openobserve.ai", "source_type": "vendor"}, {"url": "https://rollbar.com/blog/best-apm-tools", "domain": "rollbar.com", "source_type": "vendor"}], "answer_text": "## My actual recommendation, in order\n\n**1. Sentry - start here.** For most startups, the thing that actually breaks is a specific error in a specific request, not aggregate host CPU. Sentry's error grouping is still best-in-class, and it now does tracing, profiling, and logs too. Free tier is real, Team plan is ~$26/month. If you're pre-Series A with a monolith or a handful of services, Sentry alone covers 80% of what you need and costs ~1% of what Datadog does.\n\n**2. Grafana Cloud - the best \"real APM\" free tier.** 10K active series, 50 GB logs, 50 GB traces, 3 users, no credit card. It's OpenTelemetry/Prometheus-native, so your instrumentation is portable - you can leave without re-instrumenting. Pick this if anyone on the team already knows PromQL. The downside is it's assembly-required; you're wiring Mimir/Loki/Tempo together conceptually, not getting a polished single pane.\n\n**3. New Relic - best if you want managed UX with one meter.** 100 GB/month ingest free, full platform including APM, infra, logs, browser, and mobile, with 1 full user. One ingest meter instead of five SKUs is genuinely easier to reason about. The trap is per-user pricing: full-platform users list at ~$5", "answer_truncated": true, "measurement": "One answer from one engine on one date. Not a ranking and not a claim about the world; brands the engine did not name are not recorded.", "limitation": "Coverage: Claude (Anthropic) with web search. Other engines not included.", "alerts": {"name": "Answer Watch Pro", "price_usd": 79, "period": "month", "gets": "daily change alerts for up to 5 brands in what one AI answer engine says, history, CSV export. Coverage: Claude (Anthropic) with web search. Other engines not included", "url": "https://bikoosh.com/answers"}}