Synthetic monitoring entails proactively mimicking user visits, regardless of whether real users are currently on your site. An HTTP monitor uses simple HTTP requests. A browser monitor does more than that; it runs genuine web browser sessions that support HTML5 and AJAX.
Single-URL browser monitors
A single-URL browser monitor is the same as a simulated user using a modern, up-to-date web browser to visit your application. Browser monitors can be set up to run every five minutes from any of our public or private sites around the world. Browser monitors will notify you if your application is inaccessible or its baseline performance has dramatically deteriorated.

Browser clickpaths
Browser click paths are simulated user visits that track the business-critical workflows of your application. You can utilize script mode to record a precise sequence of clicks and user input that you want to keep track of for performance and availability. Once you’ve captured the mouse clicks and different user behaviors you want to include in your browser click route, you can schedule it to run regularly from our global public or private locations to analyze your site’s availability and performance.
HTTP monitors
Simple HTTP requests make up HTTP monitors. You can use them to find out if single-resource API endpoints are available. You can also track whether or not your API endpoints are available. Can also set performance criteria for HTTP monitors. HTTP monitors, like browser monitors, operate at regular intervals from our global public or private locations.
Can use HTTP monitors run by an ActiveGate from a private Synthetic location to examine the availability of internal resources that aren’t reachable from the outside. Note that capacity utilization for a subclass of high-resource HTTP monitors measures independently in private locations. Exceptional resource-intensive capabilities, such as pre-or post-execution scripts, OAuth2 authorization, or Kerberos authentication, are available on these monitors.
Supported browsers
Google Chrome is the supported browser (latest version, backward compatible). When you create or change a browser monitor, the browser used to execute browser monitors from public locations is mentioned on the Frequency and locations page. See Browser monitors in remote places for Chromium versions to install on a Synthetic-enabled ActiveGate running private browser monitors.
Synthetic monitor security
You can also learn about the security architecture of credential vaults for synthetic monitoring credentials.
About Enteros
IT organizations routinely spend days and weeks troubleshooting production database performance issues across multitudes of critical business systems. Fast and reliable resolution of database performance problems by Enteros enables businesses to generate and save millions of direct revenue, minimize waste of employees’ productivity, reduce the number of licenses, servers, and cloud resources and maximize the productivity of the application, database, and IT operations teams.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
How Can Manufacturers Improve Database Performance Across Smart Factory and ERP Systems?
- 16 September 2026
- Software Engineering
Database performance monitoring for manufacturing helps manufacturers identify slow SQL queries, resource bottlenecks, unusual workload changes, locking, database waits, and capacity risks across ERP, MES, IoT, supply-chain, and smart factory systems. With continuous observability and AI-assisted analysis, manufacturing IT teams can detect problems earlier, troubleshoot faster, and maintain responsive applications across increasingly connected production environments. … Continue reading “How Can Manufacturers Improve Database Performance Across Smart Factory and ERP Systems?”
How Can AI-Powered Database Monitoring Help Energy Companies Prevent Critical Performance Issues?
AI-powered database monitoring for energy helps energy and utility companies detect abnormal database behavior, identify performance bottlenecks, analyze SQL workloads, and uncover potential problems before they disrupt important applications. By combining database observability, historical baselines, anomaly detection, predictive analytics, and root cause analysis, energy IT teams can move from reactive troubleshooting toward proactive database performance … Continue reading “How Can AI-Powered Database Monitoring Help Energy Companies Prevent Critical Performance Issues?”
How Can AI-Powered Database Monitoring Help Retailers Prevent Performance Downtime?
- 15 September 2026
- AIDatabase Performance Management
AI-powered database monitoring for retail helps retailers prevent downtime by continuously analyzing queries, latency, waits, locks, resource utilization, and workload behavior. Instead of waiting for failures, AI can identify unusual patterns and emerging bottlenecks earlier. Enteros combines database observability, anomaly detection, SQL intelligence, root cause analysis, predictive analytics, and cost-aware monitoring to support more reliable … Continue reading “How Can AI-Powered Database Monitoring Help Retailers Prevent Performance Downtime?”
How Can Telecom Companies Optimize Databases to Handle Growing Customer and Network Data?
Telecom companies can optimize databases by combining continuous observability, SQL tuning, workload analysis, capacity planning, anomaly detection, and cloud cost control. Effective telecom database optimization helps teams process growing customer and network data without sacrificing speed or reliability. Enteros supports this approach with AI-powered analytics, database observability, root cause analysis, predictive insights, and Cloud FinOps … Continue reading “How Can Telecom Companies Optimize Databases to Handle Growing Customer and Network Data?”