What Claude (Anthropic) with web search answered for application performance monitoring (agencies) on 2026-09-27

Claude (Anthropic) with web search claude-opus-5 asked 2026-09-27

Coverage: Claude (Anthropic) with web search. Other engines not included.

The question asked, verbatim: best application performance monitoring for agencies

Brands named, in the order the engine gave

1. Sentry mentioned
   Sentry - My default for most agencies.
2. New Relic mentioned
   New Relic - The better pick if you're monitoring many small client deployments.
3. Datadog mentioned
   Datadog - Only if you have a few large, complex clients on Kubernetes/microservices, or a client who's already standardized on it.
4. Better Stack mentioned
   Better Stack - Worth it as the cheap consolidation layer: uptime, logs, incident response, and on-call in one product, with the lowest cost at high event volume and white-labelable status pages.
5. Checkly mentioned
   Its Playwright-based synthetics are newer and shallower than Checkly's.
6. Add mentioned
   Checkly - Add this specifically for checkout/login/signup flows.
7. Grafana Cloud mentioned
   Grafana Cloud or SigNoz - The OpenTelemetry-native escape hatch.
8. SigNoz mentioned
   Grafana Cloud or SigNoz - The OpenTelemetry-native escape hatch.
9. OpenTelemetry mentioned
   Grafana Cloud or SigNoz - The OpenTelemetry-native escape hatch.
10. Hyperping mentioned
    Hyperping or Pulsetic - Not APM, but the client-facing layer you'll want alongside it: branded status pages on the client's own domain, notifications from your sender address, automated PDF reports with your logo.
11. Pulsetic mentioned
    Hyperping or Pulsetic - Not APM, but the client-facing layer you'll want alongside it: branded status pages on the client's own domain, notifications from your sender address, automated PDF reports with your logo.
12. Skip Dynatrace mentioned
    Skip Dynatrace for agency work.
13. Dynatrace mentioned
    Skip Dynatrace for agency work.
14. Splunk mentioned
    If your clients' apps call LLM APIs, that narrows things - Datadog, New Relic, and Splunk have shipped AI/LLM monitoring modules;
15. Tracefox mentioned
    Also: my white-label search surfaced a batch of names I'd treat with suspicion (Tracefox, FlareWarden, PerkyDash, PULSX, WorkerDot, Visual Sentinel).
16. PerkyDash mentioned
    Also: my white-label search surfaced a batch of names I'd treat with suspicion (Tracefox, FlareWarden, PerkyDash, PULSX, WorkerDot, Visual Sentinel).
17. Visual Sentinel mentioned
    Also: my white-label search surfaced a batch of names I'd treat with suspicion (Tracefox, FlareWarden, PerkyDash, PULSX, WorkerDot, Visual Sentinel).
18. Sentinel mentioned
    Also: my white-label search surfaced a batch of names I'd treat with suspicion (Tracefox, FlareWarden, PerkyDash, PULSX, WorkerDot, Visual Sentinel).

Sources the engine cited

The answer, as recorded

## My short list, in the order I'd actually recommend them **1. Sentry** - My default for most agencies. The org → project model maps cleanly onto client → app, so you get per-client isolation, per-client alert routing, and per-client dashboards without inventing a tagging scheme. Errors + tracing + session replay + profiling + uptime + cron in one SDK, and the pricing is the most predictable of the bunch (~$26/mo Team tier, scaling on event volume rather than hosts). Realistic band for a mid-size shop is $500-2,000/mo. Weakness: costs get ugly at high event volume without disciplined filtering/sampling, and it's app-inward, not infra-outward. ([index.dev](https://www.index.dev/skill-vs-skill/sentry-vs-datadog-vs-new-relic), [betterstack.com](https://betterstack.com/community/comparisons/better-stack-vs-sentry/)) **2. New Relic** - The better pick if you're monitoring *many small client deployments*. It charges on data ingest plus user seats instead of per-host-per-product, which is exactly the shape of agency work: 30 clients × 2 small hosts each destroys host-based pricing but barely moves an ingest-based bill. Free tier is genuinely usable (100GB/mo), and transaction tracing on monolithic apps - which is most agency client work - is excellent. ([cloudzero.com](https://www.cloudzero.com/blog/datadog-vs-new-relic/), [newrelic.com](https://newrelic.com/blog/apm/application-performance-monitoring-tools)) **3. Datadog** - Only if you have a few large, complex clients on Kubernetes/microservices, or a client who's already standardized on it. Best-in-class breadth (400+ integrations, traces/logs/metrics/RUM correlated in one view), but host-based pricing ($15/host infra, $31/host APM, plus indexed logs and custom metrics) punishes the many-small-clients pattern hard - a single 50-node cluster runs $2,000+/mo. ([comparetiers.com](https://comparetiers.com/blog/datadog-vs-new-relic-pricing), [performance.qa](https://performance.qa/blog/datadog-vs-new-relic/)) **4. Better Stack** - Worth it as the cheap consolidation layer: uptime, logs, incident response, and on-call in one product, with the lowest cost at high event volume and white-labelable status pages. Its Playwright-based synthetics are newer and shallower than Checkly's. ([betterstack.com](https://betterstack.com/community/comparisons/better-stack-vs-checkly/), [dash0.com](https://www.dash0.com/comparisons/better-stack-alternatives)) **5. Checkly** - Add this specifically for checkout/login/signup flows. Monitoring-as-code in Playwright means the checks live in the client's repo and ship with their CI/CD, which is the only approach I've seen survive frequent redeploys across many codebases. It catches the "uptime says UP but checkout is broken" class of failure that kills agency retainers. ([middleware.io](https://middleware.io/blog/synthetic-monitoring-tools/)) **6. Grafana Cloud or SigNoz** - The OpenTelemetry-native escape hatch. Instrument clients with vendor-neutral OTel and you can re-point telemetry when a client insists on their own tooling, or self-host to kill per-client SaaS costs entirely. More setup work; pick it if you're building monitoring as a productized service rather than a side effect of dev work. ([uptrace.dev](https://uptrace.dev/tools/top-apm-tools)) **7. Hyperping or Pulsetic** - Not APM, but the client-facing layer you'll want alongside it: branded status pages on the client's own domain, notifications from your sender address, automated PDF reports with your logo. White-labeling starts around $13/mo rather than being an enterprise add-on. ([hyperping.com](https://hyperping.com/use-cases/agencies), [pulsetic.com](https://pulsetic.com/white-label-website-monitoring/)) **Skip Dynatrace** for agency work. The Davis causation engine and OneAgent auto-instrumentation are real, but it's priced and sold for single large enterprises and the per-client overhead doesn't amortize. ([rollbar.com](https://rollbar.com/blog/best-apm-tools/)) ## Two caveats If your clients' apps call LLM APIs, that narrows things - Datadog, New Relic, and Splunk have shipped AI/LLM monitoring modules; the purpose-built options are Arize, LangSmith, and Weights & Biases. ([cloudzero.com](https://www.cloudzero.com/blog/application-monitoring-tools/)) Also: my white-label search surfaced a batch of names I'd treat with suspicion (Tracefox, FlareWarden, PerkyDash, PULSX, WorkerDot, Visual Sentinel). They read like thin SEO landing pages rather than established products, so I've deliberately left them out of the list above - verify independently before putting client-facing infrastructure on any of them. **If you want one answer:** Sentry for the application layer, Checkly for the critical user flows, and Hyperping for the client-facing status pages. Move to New Relic if you end up needing real infrastructure visibility across a large client fleet. Sources: - [https://www.index.dev/skill-vs-skill/sentry-vs-datadog-vs-new-relic](https://www.index.dev/skill-vs-skill/sentry-vs-datadog-vs-new-relic) - [https://betterstack.com/community/comparisons/better-stack-vs-sentry/](https://betterstack.com/community/comparisons/better-stack-vs-sentry/) - [https://www.cloudzero.com/blog/datadog-vs-new-relic/](https://www.cloudzero.com/blog/datadog-vs-new-relic/) - [https://newrelic.com/blog/apm/application-performance-monitoring-tools](https://newrelic.com/blog/apm/application-performance-monitoring-tools) - [https://comparetiers.com/blog/datadog-vs-new-relic-pricing](https://comparetiers.com/blog/datadog-vs-new-relic-pricing) - [https://performance.qa/blog/datadog-vs-new-relic/](https://performance.qa/blog/datadog-vs-new-relic/) - [https://betterstack.com/community/comparisons/better-stack-vs-checkly/](https://betterstack.com/community/comparisons/better-stack-vs-checkly/) - [https://www.dash0.com/comparisons/better-stack-alternatives](https://www.dash0.com/comparisons/better-stack-alternatives) - [https://middleware.io/blog/synthetic-monitoring-tools/](https://middleware.io/blog/synthetic-monitoring-tools/) - [https://uptrace.dev/tools/top-apm-tools](https://uptrace.dev/tools/top-apm-tools) - [https://hyperping.com/use-cases/agencies](https://hyperping.com/use-cases/agencies) - [https://pulsetic.com/white-label-website-monitoring/](https://pulsetic.com/white-label-website-monitoring/) - [https://www.cloudzero.com/blog/application-monitoring-tools/](https://www.cloudzero.com/blog/application-monitoring-tools/) - [https://rollbar.com/blog/best-apm-tools/](https://rollbar.com/blog/best-apm-tools/)

Near this answer

The same question, recorded on other dates: 2026-09-25, 2026-09-23, 2026-09-21, 2026-09-17, 2026-09-15, 2026-09-13, 2026-09-11, 2026-09-08, 2026-09-06.

application performance monitoring, asked for other audiences: startups (asked 2026-09-27).

Other categories with a recorded answer: api management platforms, ci cd platforms, code repository hosting, content management systems.

Markdown edition · JSON record · the question page, with every recording · Answer Watch · AEO Watch

Answer Watch records what one AI answer engine said on one date, nothing more. Each page names the engine and the model, carries the date the question was asked, and lists the brands that appeared in the answer in the order the engine gave them, with the sources it cited. It is a measurement, not a ranking, not a recommendation and not a claim about the world. Brands that did not appear in an answer are not named on any public page. Coverage: Claude (Anthropic) with web search. Other engines not included.