9 Best Synthetic Monitoring Tools in 2026 (Compared)

The best synthetic monitoring tool is the one that actually performs the operation you need to keep working. An HTTP check can confirm that your login endpoint responds. It cannot necessarily tell you whether someone can fill in the form, receive a session cookie, and get past the login screen. For that, you need a browser journey. And when the journey fails, a link to the backend trace can save you a second investigation.

This guide compares nine synthetic monitoring tools, from self-hosted uptime checking to Playwright-driven journeys and synthetic checks connected to application traces. The focus is on what each tool can prove, what happens after a check fails, and the constraints that make a difference in production.

This is an editorial shortlist based on publicly documented capabilities reviewed in November 2026, not an independently benchmarked ranking. Dash0 publishes the article and appears among the nine products. Test the coverage and integration details against your own applications before choosing.

Three jobs, nine tools

There are three reasonably different jobs hiding under “synthetic monitoring”:

• Test browser workflows: Checkly is the natural starting point for existing Playwright suites. Grafana Cloud uses k6 browser scripting; Datadog and New Relic provide their own browser-test workflows. Better Stack adds Playwright transactions to its incident-response offering.
• Check APIs and investigate the failure: Dash0 links HTTP checks to OpenTelemetry traces. Datadog, New Relic, and Grafana Cloud are also worth considering if your application telemetry already lives there, although the trace-link setup differs.
• Watch websites and internet delivery: Pingdom covers website availability and transactions; LogicMonitor Digital Experience goes deeper into DNS, CDN, ISP, and routing behavior. Uptime Kuma is a self-hosted option for straightforward endpoint checks.

Those groups overlap, but they're a better starting point than assuming every tool called “synthetic monitoring” is a substitute for every other one.

What to look for before choosing a tool

Start with the failure you're trying to catch. An uptime check can test whether a URL answers. An API check can assert that the response contains the right data, not merely the right status code. A browser check can run JavaScript, click through forms, and verify that a real workflow completes. If a password-reset link lands on a broken page, monitoring the health endpoint won't notice. The health endpoint is having a perfectly good day.

There is a useful distinction between uptime monitoring, synthetics, and Real User Monitoring (RUM). Synthetic checks exercise known paths on a schedule, even when nobody is using the app. RUM measures what actual visitors experience, including paths the test author never thought to script. Neither makes the other redundant.

Decide where the checks need to run. Public probes help distinguish a regional connectivity problem from a global outage. Private probes reach internal APIs and services behind your firewall. But a probe's location is part of the test: an application that responds from your own cluster may have a very different opinion about a customer coming through a distant ISP.

Look at the operational workflow, not just the test editor. Version-controlled checks, Terraform, CI/CD integration, and private locations matter once you've got more than a few monitors. Browser tests also need maintenance. A frontend change that renames a selector can break a perfectly healthy application's test, and someone must decide whether the alert represents a real regression or an offended script.

Treat retries and trace correlation as first-class features. A retry can prevent an isolated network hiccup from waking someone at night; it can also hide a failure that happens one request in five. Ask whether the original failure remains visible. Then ask how a failed synthetic request connects to application traces, logs, or infrastructure signals. “We support OpenTelemetry” is not quite the same answer as “click here to inspect the database call from this failed run.”

Finally, count executions rather than configured checks. One check every minute from three locations runs 129,600 times in a 30-day month, before retries. Browser execution time, test steps, and separate platform meters can change that calculation. The relevant pricing question is what makes usage grow, not which vendor can display the smallest starting number.

1. Datadog

Datadog Synthetic Monitoring makes most sense when Datadog already holds your APM traces, logs, and infrastructure telemetry. A failed synthetic browser journey can then be investigated alongside the services involved, without asking the on-call engineer to assemble the incident from several unrelated tools.

The coverage is broad: API, recorded browser, mobile, and network-oriented tests, plus public and private test locations. Its browser recorder is helpful when a team wants to define a login or checkout path without maintaining a Playwright suite. Terraform and API support are there when the number of checks grows beyond what anybody wants to edit by hand.

There are two practical boundaries. The recorder is not a way to run your existing Playwright tests unchanged, and browser runs have a step allowance: long journeys can count as multiple runs. Synthetic API runs, browser runs, and Datadog's other observability products also have separate billing dimensions. The more of the platform you connect, the more useful the correlation can become, but you should model the meters together. See the current synthetic monitoring pricing terms.

Worth exploring if: You already use Datadog APM and want recorded browser tests, API checks, and the resulting investigation in the same platform.

Give it a pass if: You only need a few endpoint checks or want to run an existing Playwright suite without rewriting it.

2. Checkly

Checkly treats synthetic monitoring much like software development, which is especially attractive if your team already writes Playwright tests. Browser journeys and API checks can live in Git, move through code review, and be deployed through the CLI, CI/CD, Terraform, Pulumi, or an API. The test doesn't need to be rewritten as a sequence of clicks in somebody else's recorder.

That makes Checkly a good fit for authenticated flows, multi-step transactions, and teams that want their monitors reviewed alongside the code they protect. It also means you own the test code. A brittle selector that was brittle in CI will remain brittle when it runs every five minutes in production. Changing the schedule does not make the selector wiser.

The interesting diagnostic feature is Checkly Traces: it can associate synthetic runs with OpenTelemetry spans from the backend. That is not equivalent to a full observability platform for everything else your services emit, and the current pricing and feature terms list Traces as an Enterprise add-on rather than a generally included feature. Browser and API checks use separate run allowances, with Playwright suite duration affecting consumption. For a closer comparison, see the Checkly alternatives guide.

Worth exploring if: Your team has Playwright tests in Git and wants production checks to follow the same code-review and deployment workflow.

Give it a pass if: You need one product to store and investigate all your application logs, metrics, and traces, or need Checkly Traces without its Enterprise add-on.

3. Dash0

Dash0 Synthetic Monitoring asks HTTP-level questions: can this endpoint be reached, did it return the right response, and where did the request spend its time? A check can set the method, headers, authentication, query parameters, and body, then assert on response status, content, headers, or timing. Checks run from public regions or private locations, with configuration available through Terraform, the Dash0 Kubernetes Operator, and the CLI.

Each run exposes DNS, connection, TLS, request, time-to-first-byte, and download timings. More importantly for an OpenTelemetry-instrumented backend, synthetic requests are automatically associated with backend spans in Dash0. From a run you can open View full trace and investigate the services and dependencies involved; dash0.trace.origin.type = SYNTHETIC_CHECK identifies the synthetic traffic. A slow check is no longer just a complaint from somewhere on the internet. It has a route into the application that answered it.

There is a fairly sharp boundary to that usefulness: Dash0 does not run browser journeys. An HTTP check can validate a payment API's response, but it cannot click through a rendered checkout or catch a JavaScript exception that prevents the request from being sent. Teams needing Playwright or interactive browser checks must pair it with another tool. Backend tracing also depends on the relevant services emitting OpenTelemetry data to Dash0.

Private locations deserve a closer look during evaluation. Their connection state is visible, but Dash0 currently does not provide an alert when a private location itself goes offline; locations can be stopped, not deleted. Retries also use a fixed interval. These details can matter more than another row of green check marks when you're relying on private probes to watch internal systems.

Dash0 meters synthetic checks per API check run, and using all selected locations produces more runs than rotating between them. Other telemetry has its own consumption meters. See Dash0 pricing for current terms.

Worth exploring if: Your critical checks are HTTP APIs and you want failures linked to OpenTelemetry backend traces, including from private locations.

Give it a pass if: You need scripted browser journeys, built-in incident-response tooling, or an alert specifically when a private probe goes offline.

4. Grafana Cloud Synthetic Monitoring

Grafana Cloud can test more than whether a web server answers: DNS, TCP, traceroute, multistep APIs, and headless-browser journeys are all in scope. It supports DNS, TCP, ping, traceroute, multistep HTTP checks, and scripted tests, while its k6 browser checks can run JavaScript-driven interactions in a headless browser. If Grafana is already where your team investigates incidents, that range is a practical reason to shortlist it.

The distinction worth making early is k6 browser versus Playwright. k6 has a Playwright-inspired browser API, but that doesn't mean you can drop an existing Playwright repository into Grafana Cloud and expect it to run. The scripts and execution model have differences, and migration takes work. This is a tool for teams comfortable authoring and maintaining k6 checks.

Grafana can put synthetic metrics and logs alongside its other observability data. Linking a scripted check to backend traces is supported too, but it's an opt-in instrumentation step per check; the backend must export the corresponding traces. The link is useful when configured, not something to assume from the presence of Grafana dashboards. Public and private probes, APIs, and Terraform support help with operation at scale.

Usage is based on executions per probe location, with runtime counted in started minutes and browser executions metered separately from API tests. A check running longer can consume more than a check that finishes promptly; selecting more probes multiplies executions. The Grafana synthetic monitoring documentation explains that model.

Worth exploring if: You already work with Grafana and k6 and want browser, API, and network checks alongside your existing telemetry.

Give it a pass if: Your Playwright suites must run unchanged or you cannot take on the extra instrumentation needed to link scripted checks to traces.

5. New Relic

New Relic Synthetic Monitoring combines ping and API checks with simple and scripted browser tests. It can run browser journeys using Selenium, check services from private locations, and bring the results into the same environment as New Relic APM and distributed tracing.

That combination makes sense for an organization already investigating incidents in New Relic. The synthetic result is the outside view; application telemetry provides the inside view. It is less attractive if the reason for switching is to run existing Playwright suites, because Selenium-oriented scripts are a different workflow. “Browser scripting” tells you what kind of problem a product can solve, not that every browser script is interchangeable.

Checks count against edition allowances, with extra executions and other New Relic consumption or user-access dimensions potentially affecting cost. The current New Relic pricing page is the place for those limits.

Worth exploring if: Your application traces already live in New Relic and you want API, Selenium-based browser, and private-location checks in the same workflow.

Give it a pass if: Reusing Playwright tests unchanged matters more than integrating synthetics with New Relic APM.

6. Better Stack

Better Stack doesn't stop at determining that an endpoint failed. It also handles the subsequent inconvenience of deciding whom to page, how to escalate, and what to say on a status page. For a smaller team, joining external checks to incident response can eliminate an impressive amount of integration plumbing.

Its monitors include HTTP and network checks as well as Playwright browser transactions, so it can test more than a successful connection. Terraform support and multi-location testing help make the checks part of an operational workflow rather than a collection of manually maintained dashboard entries. Better Stack also offers logs, metrics, and traces, although those have their own setup and usage considerations.

The bundle is less compelling if you already have established on-call schedules, paging, and status communication elsewhere. Then you're evaluating a second incident-management workflow, not just a better monitor. Billing likewise spans monitor allowances, responder seats, and browser runtime measured in Playwright minutes. The Better Stack pricing page is more useful when you model the whole package, not only the number of HTTP checks.

Worth exploring if: You want a failing HTTP or Playwright check to feed the same on-call, escalation, and status-page workflow.

Give it a pass if: You already have incident response covered and mainly need developer-controlled checks or deep trace investigation.

7. Pingdom

Pingdom stays close to the familiar website-monitoring questions: is the site reachable, how quickly does it load, and can a defined transaction finish? It provides uptime checks from distributed locations, page-speed testing, and transaction monitoring, with a separate Real User Monitoring offering for actual visitor experience.

There is still real value in doing those jobs well. A company running a public website may need a dependable availability and transaction signal more urgently than another general-purpose telemetry backend. Pingdom also keeps the workflow approachable for teams that don't want to maintain synthetic checks in code.

Its scope is the limit. Pingdom doesn't directly connect a failing synthetic journey to the distributed traces of the services behind it, and its monitoring-as-code story is not the reason to buy it. Plans are based on allowances for uptime and advanced checks, including transactions and page-speed monitors; see Pingdom's current plans.

Worth exploring if: Website availability, page speed, and straightforward transaction monitoring matter more than inspecting backend services.

Give it a pass if: You need failed checks linked to distributed traces or want to manage complex browser tests alongside application code.

8. LogicMonitor Digital Experience (formerly Catchpoint)

LogicMonitor Digital Experience is interesting when the application looks healthy from the inside but fails somewhere between your servers and the people using it. Its Catchpoint-derived capabilities investigate website and API availability alongside DNS, network paths, ISPs, CDNs, routing, and browser transactions. If a customer in one region cannot reach your service, a database trace might be perfectly accurate and entirely beside the point.

The platform's external vantage points can help distinguish an application regression from an internet-delivery problem, and it integrates with LogicMonitor's broader infrastructure monitoring. Browser automation, including Playwright-based testing, adds a way to check workflows as well as network reachability.

This isn't a lightweight option for a few uptime checks. It's a wider enterprise digital-experience product, with quoted rather than standard public per-check pricing. The product also went through acquisition and branding changes in 2025–2026, so confirm the available packaging and features under the current LogicMonitor Digital Experience offering before treating an older Catchpoint guide as a current contract.

Worth exploring if: You need to diagnose regional failures caused by DNS, CDNs, ISPs, or network paths that your own application telemetry cannot explain.

Give it a pass if: Your requirements stop at a small set of API or website checks and you have no need for internet-delivery diagnostics.

9. Uptime Kuma

Uptime Kuma is the uncomplicated self-hosted option for monitoring endpoints from infrastructure you control. It handles HTTP and JSON responses, DNS, TCP, ping, WebSockets, and several database or messaging-related checks, with notifications, history, and status pages in a web interface.

There is also a Real Browser monitor, but the name deserves a little scrutiny. It can load a page in a headless browser. It won't find the login form, enter credentials, and click through a transaction for you. That requires a scripted browser monitor, which Uptime Kuma does not provide.

The software is open source, but the host, upgrades, and backups are now your problem. There's also the entertaining question of who tells you when the machine running Uptime Kuma goes down. The checks run wherever you deploy it, rather than from managed global probes, and there is no built-in distributed-trace investigation.

Worth exploring if: You can operate the monitoring service yourself and mainly need endpoint, DNS, or network checks with notifications and a status page.

Give it a pass if: You require managed global probes, scripted login or checkout journeys, or a direct path from failed checks to backend traces.

How to make the shortlist useful

Before you buy anything, write down three checks that would have caught a real class of failure in your application. One might validate an API response body, another could complete a login in a browser, and a third might reach an internal service from a private location. Use them to test the product, including how it handles failed runs, retries, and notifications.

Then run the unpleasant test: deliberately make one of those checks fail. Can you see the original failure even if a retry succeeds? If the product promises trace correlation, can you get from that specific run to the backend operation that failed? If your team maintains tests in Git, can the checks follow your release process without a separate set of hand-edited configuration?

The main divisions are fairly clear. Checkly is worth a serious look for native Playwright reuse; Grafana Cloud for k6 scripting and protocol coverage; Datadog or New Relic if their APM already holds the evidence. Dash0 suits OpenTelemetry-instrumented services that need API checks linked directly to traces. Better Stack combines monitoring with paging and status pages; Pingdom handles website transactions and availability; LogicMonitor Digital Experience investigates internet-delivery behavior; and Uptime Kuma is the self-hosted baseline.

Finally, estimate frequency, locations, runtime, and retry volume against the actual billing model. A check you configure once can quietly turn into hundreds of thousands of executions over a month. That multiplier belongs in the evaluation, even though it occupies precisely one row in the UI.

Final thoughts

A synthetic monitor is a small, scheduled argument with your application: I expect this request or journey to work. Prove it. The useful part begins when the application disagrees. Decide how realistic the test needs to be, where it should run, and whether its failure leaves you with an actionable explanation or merely a notification.

If your critical paths are HTTP APIs backed by OpenTelemetry-instrumented services, Dash0 can connect those scheduled checks to the backend traces they trigger. It won't replace a browser journey test, and that's a meaningful distinction. To see whether the HTTP-and-trace approach fits your environment, explore Dash0 Synthetic Monitoring or try Dash0 with your own APIs. No credit card required.