30 application performance monitoring apps in one list: the established products, and every new one as it launches.
Updated
3 apps launched in the last 12 months, by month.
The apps we added to this market most recently.
| # | App | Added |
|---|---|---|
| 1 |  MacSentinel MacSentinel brings Mac monitoring, diagnosis, storage analysis, and cleanup into one native workflow. Instead of simply showing system metrics or deleting generic caches, it explains likely causes of slowdowns locally, then helps you act safely. Smart Care includes 500+ app rules across 50 categories, covering developer, creative, productivity, and AI tools. Cleanup is Trash-first and recoverable, and Pro is a one-time purchase — no subscription. | |
| 2 | ||
| 3 | Sentry Application performance monitoring for developers & software teams to see errors clearer, solve issues faster & continue learning continuously. Get started at sentry.io. | |
| 4 | DE DeepTracer DeepTracer goes beyond traditional error tracking with **AI-powered investigations** that run automatically — no manual debugging required. | |
| 5 |  LeanSentry LeanSentry is a specialized, lightweight diagnostic service built | |
| 6 | MO MOBORE Mobore provides end‑to‑end observability for your React Native app. Catch crashes, monitor performance, and optimize user journeys. | |
| 7 |  Latency Test Test latency of your website or API, and monitor uptime | |
| 8 | MI React Scan React Scan automatically detects and highlights components that cause performance issues in your React app. Drop it in anywhere – script tag, npm, you name it! | |
| 9 |  SpeedVitals Introducing SpeedVitals, the next generation of web performance testing. SpeedVitals is a powerful website testing tool aimed at improving Core Web Vitals. It provides performance insights to help improve your website's speed. | |
| 10 |  Middleware Middleware is a YC backend full-stack AI observability platform that helps developers detect, diagnose, and resolve issues in real time—automatically. By providing deep insights across your entire stack, you ensure optimal performance and reliability for AI-powered applications. | |
| 11 |  Finotes Detect bugs and performance issues in iOS and Android apps | |
| 12 |  groundcover observability platform groundcover is a full-stack observability platform that deploys to private clouds (or on-prem/air-gapped). Gather 10x more telemetry data to a cloud you already trust. Built for modern production environments and workloads with a commercial model that SaaS platforms can't justify or support. |
The products every new one is compared with.
Grouped by what each app says it does. 29 of 30 apps fit a group so far.
| Type | Apps | Share | Examples |
|---|---|---|---|
| Observability platforms | 12 | 41.4% | AppDynamics, AppDynamics Classic, Applications Manager |
| Website performance | 6 | 20.7% | Calibre, DebugBear, Hexometer |
| Error monitoring | 4 | 13.8% | DeepTracer, Honeybadger, Mission Control by Grafite |
| Uptime monitoring | 3 | 10.3% | Droptice, Latency Test, Tally Monitoring |
| Mobile app monitoring | 2 | 6.9% | Finotes, MOBORE |
| Other | 2 | 6.9% | Epsagon, MacSentinel |
What we could detect on their websites.
| Framework | Apps | Share |
|---|---|---|
| Next.js | 7 | 58.3% |
Of 12 apps whose framework we could detect.
| Host | Apps | Share |
|---|---|---|
| Vercel | 7 | 87.5% |
Of 8 apps whose host we could detect.
How many of the 30 apps show a price, and how many sell to large companies.
| Measure | Apps | Share of 30 |
|---|---|---|
| Publish a pricing page | 18 | 60.0% |
“application performance monitoring tool” is searched 2,400 times a month on Google in the US. These are the searches around it.
| Search | Per month | Cost per click |
|---|---|---|
| datadog application performance monitoring | 2,900 | $9.57 |
| apm datadog | 2,400 | $12.41 |
| apm tools | 2,400 | $115.21 |
| signoz | 2,400 | $2.02 |
| what is apm | 1,300 | $14.69 |
| apm monitoring | 590 | $76.98 |
| application monitoring tools | 390 | $158.35 |
| elastic apm | 390 | $8.42 |
| performance monitoring tools | 260 | - |
| apm meaning in job | 40 | - |
| best monitoring tools | 40 | $80.28 |
| datadog performance monitoring | 40 | $18.26 |
| apm data | 30 | - |
| datadog apm metrics | 30 | $7.58 |
| monitoring tools list | 30 | $17.17 |
Cost per click is what advertisers bid for one visit from that search. Figures from Oct 2026.
Application performance monitoring observes how software runs and turns raw runtime signals into insights. It starts with lightweight agents or SDKs added to services, jobs, web pages, and mobile apps. These capture metrics like latency and throughput, logs from application code, and traces that follow a request across services. Tools such as AppSignal and Sentry focus on code execution and errors, while platforms like Datadog unify data from apps and infrastructure.
Instrumentation adds context to each event, such as service name, endpoint, user session, and deployment version. Standards like OpenTelemetry make it easier to collect consistent telemetry across languages and frameworks.
The data streams to a backend that ingests, normalizes, and stores it for search and analysis. The system correlates metrics, logs, and traces so you can pivot from an alert to the exact error or slow database call. Real user monitoring links frontend sessions to backend traces to show full request paths.
Dashboards visualize golden signals and custom KPIs. Alerting compares live data to thresholds or baselines and notifies teams when latency, error rate, or saturation changes. Automated grouping reduces noise by folding similar errors and incidents together.
From there, diagnostics highlight the probable cause. Flame graphs show where time is spent, trace maps reveal cross service hops, and error reports include stack traces, tags, and breadcrumbs. Some tools, like Hexometer, add external checks of websites and APIs, and others, like MacSentinel, monitor host level health for specific environments.
Vendors commonly mix data based pricing with subscriptions and seats, often with a starter free tier.
| Pricing model | How it works |
|---|---|
| Per host or container | Each running instance that sends telemetry increases the bill. |
| Per service or application | Each distinct monitored service counts toward the subscription. |
| By data volume | Charges scale with ingested metrics, logs, traces, or spans. |
| Per seat | Each user who can log in and configure the product adds to the cost. |
| Tiered subscription | Feature sets unlock by plan level with higher limits. |
| Free tier | A limited allowance of data and seats to try or monitor small projects. |