ThousandEyes today unveiled its Synthetics monitoring service designed to alleviate performance monitoring challenges associated with API-heavy and internet-dependent applications.

The company claims the synthetic monitoring technology will help customers gain actionable insights into application performance, identify internet and cloud-related performance barriers, and monitor performance from where the applications are being used by leveraging pre-deployed monitoring agents located around the world. Ultimately this can dramatically reduce mean time to resolution, and enable customers to more reliably deploy software-as-a-service (SaaS) applications.

“Traditional synthetic monitoring solutions simply don’t cut it in today’s internet-dependent, cloud-centric ecosystem," said Joe Vaccaro, VP of product at ThousandEyes, in a statement. "An app-centric view with no knowledge of the underlying dependencies leaves IT, digital ops, and service delivery teams dead in the water while troubleshooting application performance issues."

Modern applications require a new approach of monitoring because they are distributed and interact with multiple third-party services through APIs across multi-cloud environment, the company says.

The ThousandEyes Synthetics platform works by combining programmable javascript with deep monitoring to provide customers with insights into network performance that take into account HTTP, network metrics, network paths, internet routing, and outage visibility. ThousandEyes claims its approach is superior to legacy synthetics, which were never designed to cope with internet and third-party service related complications.

The product is available in limited release and will generally available later this year.

The unveiling comes on the heels of the company's recent expansion in the Asian-Pacific market where it added support for Alibaba Cloud and expanded it's vantage points to 53 cities.

According to ThousandEyes, the decision to extend support to Alibaba Cloud came down to performance challenges associated with deployments in that region.