Dynatrace has fully transitioned Synthetic monitoring to its latest platform, bringing enhanced capabilities like a detailed Requests waterfall chart and integration with Grail for…
Dynatrace has launched a new mobile troubleshooting experience (RUM) that unifies app performance and stability data – including crashes, ANRs, and view-level performance – into a …
Session replay technology reconstructs real user interactions with websites or apps, capturing clicks, scrolls, and keystrokes to create anonymized recordings. This allows teams to…
This article argues that “observability” in user experience monitoring is more than just a buzzword – it’s a significant upgrade from traditional uptime monitoring. Observability g…
This article highlights the growing importance of Digital Experience Monitoring (DEM) for businesses looking to improve customer satisfaction and revenue. DEM goes beyond simply tr…
This article explains the benefits of using both transaction monitoring and transaction tracing for identifying and resolving application performance issues. Transaction monitoring…
This article argues that relying solely on Application Performance Monitoring (APM) isn't enough to ensure a good user experience. While APM tracks technical health, Digital Experi…
This article introduces Synthetic Private Probes as a way to enhance Digital Experience Monitoring (DEM) by extending visibility *inside* a network. While traditional public probes…
11/11/25 Hybrid and multi-cloud environments have become the norm, with applications and services running across AWS, Azure, on-premises infrastructure, and increasingly, Google Cl…
05/29/25 The Meaning of Shift-Left Shift-left refers to the practice of tiering IT requests based on their complexity. By handling simpler and more routine issues at a lower tier—o…
05/13/25 Here’s my take on how nurturing individual curiosity can help instill a culture of innovation to keep your organization ahead of the curve. Finding Your Next Technological…
04/30/25 What Are the 4 Pillars of AI Observability? AI observability encompasses four key areas essential for managing enterprise AI workloads: Observing AI-powered systems and ap…