ASM, platform for 24×7 user experience monitoring
What is the ASM monitoring platform?
ASM is a solution developed by NexTReT and stands for Application Status Monitor.
A platform for monitoring the user experience of Web, SaaS, desktop, mobile and virtualized applications through synthetic transaction. That is, the platform consists of different types of robots that emulate real conditions of users executing real business transactions and reporting to a centralized SaaS console.
Objective:
Provide a 24×7 service for monitoring interactions between the bank and customers via web or mobile.
Solution:
24×7 monitoring and support service based on ASM’s own solution.
Company sector:
Banking sector
Real use case of Application Status Monitor (ASM) for a company in the banking sector
Leading company in the Spanish banking sector
Banking environments are increasingly digitalized, and interaction with customers is increasingly carried out through web portals and mobile applications. Large banks, for the good of their clients and for regulatory reasons, must guarantee the availability of their operations.
To guarantee the correct functioning of the systems, it is necessary to imitate, with real users, the operations carried out by clients to measure availability and response times.
Real use case of Application Status Monitor (ASM) for a company in the banking sector
Objective:
Provide a 24×7 service for monitoring interactions between the bank and customers via web or mobile.
Solution:
24×7 monitoring and support service based on ASM’s own solution.
Company sector:
Banking sector
Leading company in the Spanish banking sector with +40,000 employees and more than 4,000 offices
Banking environments are increasingly digitalized, and interaction with customers is increasingly carried out through web portals and mobile applications. Large banks, for the good of their clients and for regulatory reasons, must guarantee the availability of their operations.
To guarantee the correct functioning of the systems, it is necessary to imitate, with real users, the operations carried out by clients to measure availability and response times.
Challenge
- Banking environments are highly complicated with applications and components in different data centers from various providers, cloud, external companies, etc.
- The high interdependence of elements makes monitoring by silos or components impossible, making end-to-end functional monitoring with real users necessary.
- Banking services must be available 24×7, 365 days a year, therefore, monitoring must also be available.
- The environment to monitor is constantly changing due to constant content updates on web pages and applications, often without the knowledge of the monitoring or operations teams.
Solution
NexTReT offers a managed user experience monitoring service with support for monitoring, sending alerts and availability of reporting and error reports 24×7 based on the ASM Monitoring platform:
The entire solution is operated by NexTReT through a proactive managed service that periodically monitors errors, analyzes incidents and makes proposals for continuous improvement.
Features of the ASM Monitoring platform:
- Web: Hosted in the NexTReT data centers. It has more than 50 robots that monitor the operations of the client’s different banking portals in the 3 main browsers (Chrome, Firefox and Edge)
- Mobile: uses more than 30 physical mobile phones of different models (Iphone, Samsung, Xiaomi, Pixel, Huawei) to validate real operations.
Reporting: Available in a SaaS environment, custom dashboards, error reports, KPIs.
Advantages
- Functional monitoring of more than 1,000 different business operations through synthetic transactions in a web and mobile environment.
- Web environment monitoring with real browsers (Chrome, Firefox, Edge) and mobile environment monitoring with more than 30 real mobile phones (Android, IOS and Huawei).
- 24×7 alerts integrated with the bank’s general monitoring. Availability of detailed reports for each error and incident.
- Dashboards and real-time reporting with a history of several years that allows detecting and analyzing error trends and variations in response times.