Apica’s Ascent has achieved remarkable results in the 2023 Application Performance Management Data Quadrant Report published by SoftwareReviews, a notable source for insights on the software provider landscape. The report gathers extensive customer experience data from business and IT professionals, offering detailed and authentic insights into the experience of evaluating and purchasing enterprise software.

The advent of Machine Learning (ML) has unlocked new possibilities in various domains, including full lifecycle Application Performance Monitoring (APM). Maintaining peak performance and seamless user experiences poses significant challenges with the diversity of modern applications. So where and how does ML and APM fit together? Traditional monitoring methods are often reactive, resolving concerns after the process already affected the application’s performance.

AVD (Azure Virtual Desktop) has grown in popularity and for many reasons many organizations are choosing to consume AVD via a specialist Managed Service Provider (MSP). For the MSPs offering AVD, monitoring and troubleshooting AVD especially for multi-tenant environments is challenging and involves significant, costly and skilled effort using native tools such as Azure Insights or Azure Monitor.