{"id":31058,"date":"2026-05-07T02:56:25","date_gmt":"2026-05-07T02:56:25","guid":{"rendered":"https:\/\/www.dotcom-monitor.com\/blog\/?p=31058"},"modified":"2026-05-10T16:48:49","modified_gmt":"2026-05-10T16:48:49","slug":"what-is-synthetic-monitoring","status":"publish","type":"post","link":"https:\/\/www.dotcom-monitor.com\/blog\/what-is-synthetic-monitoring\/","title":{"rendered":"What Is Synthetic Monitoring? Types, Metrics, & Best Practices"},"content":{"rendered":"

\"Global<\/p>\n

Synthetic monitoring is a proactive performance testing method that uses scripted, automated transactions to simulate real user interactions with your applications \u2014 measuring availability, response time, and functionality before issues reach actual users.<\/p>\n

If your application goes down at 3 a.m. or slows to a crawl in a region where you have no real users yet, you need to know about it quickly \u2014 within the next probe interval \u2014 not when a customer complaint lands in your inbox. That’s exactly what synthetic monitoring is built for.<\/p>\n

In this guide, we’ll cover everything you need to know about synthetic monitoring: how it works, the different types of tests, which metrics matter, how it compares to real user monitoring (RUM) and APM, and how to use it effectively in production. We’ll also surface the limitations no one talks about and share best practices used by SRE and DevOps teams at scale.<\/p>\n

What is Synthetic Monitoring?<\/h2>\n

Synthetic monitoring \u2014 also called active monitoring, directed monitoring, or synthetic testing \u2014 works by deploying automated monitoring agents that continuously send scripted requests to your applications, APIs, or web services on a set schedule. These agents operate at different technical levels: lightweight HTTP agents that send requests to check basic availability and response codes, and sophisticated browser-based agents that run full browser engines to execute JavaScript, render pages, manage sessions, and simulate complex multi-step user interactions. Dotcom-Monitor’s EveryStep Web Recorder uses real browsers \u2014 not just headless engines \u2014 to record and replay any user action across 40+ desktop and mobile browser configurations.<\/p>\n

Because these are scripted simulations rather than passive observations of real traffic, synthetic monitoring operates 24\/7 regardless of whether any real users are active. You get consistent, reproducible performance data from controlled conditions \u2014 day or night, during peak traffic or quiet maintenance windows.<\/p>\n

The term “active monitoring” distinguishes it from passive approaches like Real User Monitoring (RUM), which only captures data when actual users interact with the system. Synthetic monitoring doesn’t wait \u2014 it probes on a defined schedule so you can detect failures and regressions quickly, often within the next probe interval, rather than waiting for user reports.<\/p>\n

How Does Synthetic Monitoring Work?<\/h2>\n
\"The
Synthetic monitoring follows a continuous loop \u2014 Simulate, Measure, Alert, Repeat.<\/figcaption><\/figure>\n

At its core, synthetic monitoring follows a straightforward loop: simulate, measure, alert, repeat. Here’s the step-by-step workflow:<\/p>\n

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  1. Define critical user journeys and endpoints.<\/strong> Identify which transactions matter most: login flows, checkout processes, API health checks, DNS resolution, and SSL certificate validity.<\/li>\n
  2. Record or script your tests.<\/strong> Use a tool like Dotcom-Monitor’s EveryStep Web Recorder to capture real browser interactions \u2014 clicks, form inputs, navigations \u2014 which are saved as replayable scripts. For API and protocol checks, configure HTTP, DNS, or ping tasks directly in the platform.<\/li>\n
  3. Deploy monitoring agents globally.<\/strong> Run tests from multiple geographic locations using public agents (30+ global locations<\/a>)<\/strong> and\/or private agents deployed inside your own data centers or network perimeter.<\/li>\n
  4. Execute on a schedule.<\/strong> Tests run at configured intervals \u2014 as frequently as every minute up to every three hours<\/a><\/strong>. A monitoring agent transmits the scripted requests, waits for a response, and records the outcome.<\/li>\n
  5. Measure technical and functional outcomes.<\/strong> Capture response times, HTTP status codes, page load time, Time to First Byte (TTFB), First Contentful Paint (FCP), and Core Web Vitals (LCP, CLS, and INP). Note that interaction metrics like INP reflect real user input and are best validated alongside real-user data \u2014 synthetic provides controlled, lab-style measurements.<\/li>\n
  6. Alert on confirmed issues.<\/strong> Dotcom-Monitor sends alerts immediately upon detection by default. Configurable filters \u2014 such as threshold-based triggers, error-type conditions, or location-specific rules \u2014 let you reduce noise for less critical checks. For multi-step transaction tests, consider whether retrying a failed script may have unintended side effects before enabling automatic retries.<\/li>\n
  7. Use vantage points strategically.<\/strong> A private agent passing a test confirms that specific service and journey is working from that internal vantage point \u2014 helping you isolate whether an issue is internet-facing, edge-related, or internal. External global agents measure the full user-facing path: DNS resolution, CDN edges, ISP routing, and geographic latency.<\/li>\n<\/ol>\n
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    See Dotcom-Monitor’s Synthetic Monitoring in Action<\/strong> \u2192 Explore the Synthetic Monitoring Solution Page<\/a><\/strong><\/p>\n<\/div>\n

    7 Types of Synthetic Monitoring Tests<\/h2>\n
    \"The
    Mature monitoring strategies combine several of these test types \u2014 each validates a different layer.<\/figcaption><\/figure>\n

    Synthetic monitoring isn’t one-size-fits-all. Different test types serve different purposes, and mature monitoring strategies combine several of them.<\/p>\n

    Availability \/ Uptime Monitoring<\/h3>\n

    Uptime monitoring uses network and endpoint probes to confirm a server or service is reachable and responding. These checks operate at different network layers, each validating something distinct:<\/p>\n