Blog

In the ever-evolving landscape of digital services, the role of real-time monitoring and incident response has become critical to maintaining healthy application experiences. Companies need monitoring tools to keep their systems running smoothly. But monitoring is just one piece of the puzzle. How teams get alerted to incidents and how quickly they identify root cause can make or break their digital experiences.

While Observability and Application Performance Monitoring (APM) tools have transformed how engineering and operations teams function over the last ten years, there are several challenges that every VP of Ops and CTO still face with no clear solution in sight.

Today’s monitoring tools focus almost exclusively on backend servers and applications. Unfortunately, this means ops teams are completely disconnected from the user experience, leaving them guessing in the dark and with no context on how to prioritize.

Conviva’s approach to build a platform for Experience-Centric Operations involves two key technologies: 1) A thin SDK (we call Sensor), which is a new approach to collecting data from application endpoint and 2) Time-State Technology, which is a new abstraction and system for efficient, real-time, and stateful data processing at scale.

Conviva has pioneered a new data analytics paradigm called Time-State Analytics that enables companies do experience-centric operational analytics at census-level, at scale, and at 10X lower the cost and 10X faster than they can today. 

It's time we shift our focus back to what users are going through in real-time. And at Conviva, we believe that’s more than an alert about app error numbers or network latency on sampled data.

Conviva for App can model any critical user flow with experience metrics for the moments that matter for your business.

Easily create metrics important for your company, such as the time it takes users to subscribe, the number of users able to log in successfully, and more.

Convert raw events into useful contextual sessions for analysis such as “successful purchase” or “searched for content.”