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Home » Security License » Splunk License » Splunk Synthetic Monitoring (SM)
Splunk Synthetic Monitoring (SM) helps teams test application performance before users run into problems, making it easier to catch issues early and keep things running smoothly.
What it does : Splunk Synthetic Monitoring (SM) runs simulated user interactions to check application performance, availability, and reliability.
License type : Subscription-based (usage-driven)
Typical term : 1 year · 3 years · 5 years
Activation method : Cloud-based platform with scripted and API-driven tests
Who needs it : DevOps teams, QA engineers, and organizations that want to monitor performance proactively
The Splunk Synthetic Monitoring license gives you the ability to run automated tests that simulate how users interact with your applications. Instead of waiting for issues to show up in production, Splunk SM lets you test performance in advance. In real environments, licensing is usually based on how often tests run and how many you have in place. This includes factors like test frequency, number of endpoints, and the scope of what you’re monitoring. As applications grow, testing needs tend to grow as well, which is why proper sizing matters.
Getting started is fairly simple. Once tests are configured and connected to the Splunk platform, they begin running automatically on a schedule. The results are then collected and presented for analysis. Because Splunk Synthetic Monitoring is used as a proactive layer, having the right balance is important. Too few tests may leave gaps in coverage, while too many can increase cost without adding much value. A well-sized setup helps maintain consistent visibility without overloading the system.
Splunk Synthetic Monitoring (SM) is designed to test applications from the outside, similar to how a user would interact with them. Instead of relying only on real user data, it runs controlled tests to check performance and availability.
In practice, this means creating tests that mimic actions like opening a page, submitting a form, or calling an API. These tests run regularly and provide consistent feedback about how the application is behaving.
One of the main benefits is predictability. Because tests are repeatable, it’s easier to track changes over time and notice when something starts to degrade.
When combined with tools like RUM or APM, Splunk SM helps build a more complete picture, showing both simulated performance and real user experience.
Splunk Synthetic Monitoring helps teams catch issues before users notice them. By running tests continuously, it becomes easier to identify performance problems early and fix them before they escalate.
Another benefit is consistency. Since tests are repeatable, they provide a reliable way to measure performance over time and compare results.
It also works well alongside other tools. When combined with RUM and APM, it gives a more complete view of performance, from simulated testing to real user behavior and backend activity.
Splunk Synthetic Monitoring pricing mainly depends on how many tests you run and how frequently they execute. More frequent tests and broader coverage will increase usage. The type of tests also plays a role. Browser-based tests typically require more resources than simple uptime or API checks. Integration with tools like RUM or APM can also affect how the solution is structured. Subscription length can influence pricing as well, with longer terms often offering better value. The most accurate pricing comes from aligning the setup with your actual testing needs rather than relying on rough estimates.
By running regular tests, it can detect performance issues early, allowing teams to fix problems before users are affected.
Yes, tests can be executed from different locations, helping you understand performance across regions.
No, it complements it by providing proactive testing alongside real user data.
You’ll typically need details about test frequency, number of tests, application type, and monitoring scope.
