Your business performance reflects the performance of your critical apps: how well do they serve your customers and users? Proactive real-time measurement of the availability and performance of your essential services is needed so that you can detect and resolve any incident or deterioration before users are affected. This is where synthetic transaction monitoring, also called active or proactive application monitoring, can help.
Synthetic monitoring to track performance proactively
Since 2001, ip-label has been developing synthetic transaction monitoring tools to help customers optimize the performance of their digital services. Our synthetic monitoring tools measure the availability and performance of your critical business applications as they are perceived by users. With proactive measurements, conducted within a defined usage context, you can track conformity with your Service Level Agreements and diagnose unavailability and poor performance.
Proactive virtual users for Synthetic testing
Our synthetic transactions simulate any operation representative of typical use of your digital services. Application availability testing and synthetic performance monitoring can be performed in specific regions or worldwide on ip-label’s global metrology network.
Synthetic monitoring: whether dedicated or shared, our robots have a lot to tell you
- Spread out across a hundred points of presence (PoPs) around the world, our shared robots are connected to the core of the main operators’ networks.
- Installed on request within an intranet environment, our dedicated robots are a response to the needs of specific measurement environments (browser version, VPN, thick client to install locally, etc.), as well as to your wish to operate our solution internally.
Synthetic Scripts for 24/7 proactive testing
The robots in this proactive metrology network run synthetic scripts which behave as virtual users, measure application performance, and generate end-user metrics. The alerting feature operates around the clock to notify you immediately of any errors, incidents or unavailability detected by integrity checks and data coherence checks:
- from one or more points on private or public IP networks
- from their standard usage context (fixed terminal at the heart of the network, mobile device connected to a mobile network) in calibrated environments
Whether the robots are shared or dedicated, they trace end-user experience under standard usage conditions (customers, nomadic staff, etc.) in a stable and controlled calibrated environment.