# digital experience monitoring Published articles for digital experience monitoring. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Digital Experience Monitoring with Grafana Cloud: Session Replay, synthetic checks, and faster investigations DevFeed: [Digital Experience Monitoring with Grafana Cloud: Session Replay, synthetic checks, and faster investigations]() Original publisher: [Read original article]() Author: Bukola Ayodele Published: 2026-09-15T01:35:30.954353Z Content type: article Language: en Sources: [Grafana Labs blog on Grafana Labs]() Topics: [digital experience monitoring](), [Grafana Cloud](), [Frontend observability](), [synthetic monitoring](), [real user monitoring](), [session replay](), [Instrumentation](), [web applications](), [JavaScript](), [Core Web Vitals](), [Traces]() Tags: [analytics](), [core-web-vitals](), [digital-experience-monitoring](), [frontend-observability](), [grafana](), [grafana-cloud](), [grafana-cloud-frontend-observability](), [instrumentation](), [javascript](), [logs](), [metrics](), [monitoring](), [observability](), [real-user-monitoring](), [session-replay](), [synthetic](), [synthetic-monitoring](), [traces](), [web-applications]() ### AI overview This article explains how Digital Experience Monitoring in Grafana Cloud combines Frontend Observability, Synthetic Monitoring, real user monitoring, and session replay. It shows how these capabilities help engineering teams detect issues proactively, understand their scope and root causes, correlate frontend signals with backend traces, and resolve production problems faster. ### Source excerpt When something breaks in production, the questions that matter most are also the toughest to answer from metrics alone: who was affected, what did they actually see, and is this worth waking someone up for? Answering those questions requires a fuller picture of the issue and its impact on your users. That's where Digital Experience Monitoring (DEM) in Grafana Cloud comes in. By combining Frontend Observability and Synthetic Monitoring, DEM connects real user experiences with proactive testing, helping engineering teams understand the scope of an issue, investigate its cause, and resolve it faster, all within Grafana Cloud. In this blog post, we'll walk through some of the latest DEM updates in Grafana Cloud, and how to get started. You can also learn more by watching the video below. First, what is Digital Experience Monitoring? Digital Experience Monitoring in Grafana Cloud gives you a complete picture of how users experience your web applications, from real user data to proactive synthetic checks. DEM helps your team achieve: Real user visibility: know how users truly experience your web application, not just what your backend metrics suggest. Proactive detection: catch problems before your users do, using automated checks against your critical user journeys. End-to-end correlation: connect a frontend signal to the backend trace behind it. Faster resolution: cut your mean time to recovery from hours to minutes. Session Replay: see exactly what your users saw Session Replay in Grafana Cloud Frontend Observability lets you visually replay what a user saw and did inside your web application. Your team can watch exactly what users experienced and correlate it with real user monitoring signals like Core Web Vitals, user actions, and traces, which makes it a powerful tool for investigating bugs and running root cause analysis. Session Replay is powered by Faro, Grafana's open source JavaScript instrumentation library for collecting real user monitoring data. Let's walk ## Securing the Modern Workforce: The Evolution of Cisco Umbrella DevFeed: [Securing the Modern Workforce: The Evolution of Cisco Umbrella]() Original publisher: [Read original article]() Author: Negisa Taymourian Published: 2026-09-08T13:00:48Z Content type: article Language: en Sources: [OpenDNS]() Topics: [Cisco Secure Access](), [Security](), [data loss prevention](), [Zero Trust](), [digital experience monitoring](), [ThousandEyes]() Tags: [ai-security](), [cisco](), [cisco-secure-access](), [cloud-security](), [digital-experience-monitoring](), [dlp](), [products-services](), [security](), [security-service-edge-sse](), [thousandeyes](), [zero-trust-network-access]() ### AI overview Cisco Umbrella has evolved into Cisco Secure Access, a cloud-delivered Security Service Edge solution for hybrid work. The platform retains Umbrella's DNS-layer security while adding zero trust network access, data loss prevention, digital experience monitoring powered by ThousandEyes, firewall as a service, and controls for generative AI applications and autonomous AI agents. ### Source excerpt For years, Cisco Umbrella has been the industry gold standard for DNS-layer security. By blocking threats before a connection is even established, it provides IT teams with a critical first line of defense and the visibility needed to keep networks safe. However, the threat landscape has changed. With the rise of hybrid work, the proliferation [...] The post Securing the Modern Workforce: The Evolution of Cisco Umbrella appeared first on Cisco Umbrella. ## Coordinate product launches with Datadog DevFeed: [Coordinate product launches with Datadog]() Original publisher: [Read original article]() Author: Milene Darnis; Adam Virani Published: 2026-09-08T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [Instrumentation](), [experiments]() Tags: [ai](), [bits-ai](), [digital-experience-monitoring](), [experimentation](), [experiments](), [feature-flags](), [instrumentation](), [launch](), [product-analytics](), [session-replay]() ### AI overview A tutorial on using Datadog Product Analytics Launches to plan product releases, define measurement questions, create tracking plans, and identify missing events and properties before rollout. ### Source excerpt Learn how to turn a product brief and feature flag into a connected launch workflow for instrumentation, experimentation, QA, and reporting. ## Visualize how CUPED adjusts experiment results with Datadog DevFeed: [Visualize how CUPED adjusts experiment results with Datadog]() Original publisher: [Read original article]() Author: Tyler Buffington; Lukas Goetz-Weiss; Ryan Lucht Published: 2026-09-01T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [experiments]() Tags: [analysis](), [digital-experience-monitoring](), [experiment](), [experiments](), [how-to](), [metrics](), [product-analytics](), [visualization]() ### AI overview This tutorial explains Datadog Experiments' CUPED adjustments visualization, which breaks the difference between raw and CUPED-adjusted experiment lift into individual covariate contributions. ### Source excerpt Learn how Datadog visualizes CUPED adjustments so you can trace which covariates change experiment lift estimates and improve precision. ## Reduce sensitive data exposure with build-time allowlists DevFeed: [Reduce sensitive data exposure with build-time allowlists]() Original publisher: [Read original article]() Author: Congyao Zheng; Rick Klein; Seth Fowler Published: 2026-08-28T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [real user monitoring](), [SDKs](), [Web Development]() Tags: [browser](), [digital-experience-monitoring](), [frontend](), [instrumentation](), [javascript](), [privacy](), [real-user-monitoring](), [rust](), [session-replay]() ### AI overview Datadog explains build-time allowlists for RUM action names. A plugin extracts static text from compiled artifacts so the Browser SDK can preserve readable static labels while masking runtime-generated text that may be sensitive. ### Source excerpt Learn how build-time allowlists preserve useful RUM action names while reducing the risk of exposing runtime-generated sensitive data. ## Monitor Azure Functions across every hosting plan with Datadog DevFeed: [Monitor Azure Functions across every hosting plan with Datadog]() Original publisher: [Read original article]() Author: Duncan Harvey; Kathie Huang; Piyali Banerjee Published: 2026-08-24T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [Azure](), [serverless monitoring](), [Serverless](), [telemetry](), [tracing](), [Traces](), [Application Performance Management (APM)](), [cpu](), [Node.js](), [Python](), [.NET]() Tags: [apm](), [azure](), [azure-functions](), [cpu](), [digital-experience-monitoring](), [metrics](), [monitor](), [monitoring](), [net](), [node-js](), [observability](), [performance](), [python](), [serverless](), [serverless-monitoring](), [telemetry](), [traces](), [tracing]() ### AI overview Datadog Serverless Monitoring expands observability for Azure Functions across Linux and Windows hosting plans, with telemetry collection, distributed tracing, enhanced CPU metrics, and continuous profiling. ### Source excerpt Trace requests, get enhanced CPU metrics, and profile code across Azure Functions hosting plans with Datadog Serverless Monitoring. ## Investigate account-level churn risk with Product Analytics account segments DevFeed: [Investigate account-level churn risk with Product Analytics account segments]() Original publisher: [Read original article]() Author: Sharon Ye; Adam Virani Published: 2026-08-11T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [Software as a service](), [data]() Tags: [analytics](), [b2b](), [churn](), [conversion](), [digital-experience-monitoring](), [product-analytics](), [real-user-monitoring](), [retention](), [saas]() ### AI overview Datadog Product Analytics account segments combine account attributes with user activity to investigate account-level churn risk. The article describes applying reusable segments to funnels, retention analysis, and Datadog Pathways, with examples involving SaaS, enterprise accounts, ARR, feature adoption, and renewal engagement. ### Source excerpt Learn how Product Analytics account segments combine business context and product behavior to identify accounts that may be at risk of churn. ## Find, analyze, and collaborate on user sessions in Datadog Session Replay DevFeed: [Find, analyze, and collaborate on user sessions in Datadog Session Replay]() Original publisher: [Read original article]() Author: Stella Ma; Abhi Motgi Published: 2026-08-06T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [session replay](), [real user monitoring](), [Artificial Intelligence](), [Front end](), [browser](), [Operating system]() Tags: [ai](), [browser](), [collaboration](), [digital-experience-monitoring](), [frontend](), [product-analytics](), [real-user-monitoring](), [session-replay]() ### AI overview Datadog Session Replay brings session discovery, AI-assisted investigation, and timestamped team comments into one workspace. Teams can find relevant replays through RUM or Product Analytics, identify important moments, and share findings with context attached. ### Source excerpt See how Datadog Session Replay unites session discovery, AI analysis, and team collaboration in a single workspace. ## Monitor your .NET MAUI apps with Datadog RUM DevFeed: [Monitor your .NET MAUI apps with Datadog RUM]() Original publisher: [Read original article]() Author: Jessica Manheimer; Maël Lilensten Published: 2026-07-08T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [.NET MAUI](), [real user monitoring](), [Monitoring](), [SDKs](), [error tracking](), [Network](), [session replay](), [multiplatform](), [Android](), [iOS]() Tags: [android](), [cross-platform](), [digital-experience-monitoring](), [error-tracking](), [ios](), [microsoft](), [monitoring](), [net-maui](), [network](), [real-user-monitoring](), [sdks](), [session-replay]() ### AI overview This article explains how to monitor .NET MAUI mobile applications with the Datadog Real User Monitoring SDK. It covers supported NuGet-based instrumentation for crash reporting, error tracking, network monitoring, Session Replay, and telemetry across iOS and Android apps. ### Source excerpt Use the Datadog .NET MAUI SDK to monitor crashes, errors, ANR events, network performance, and user sessions across iOS and Android apps. ## Monitor watchOS and visionOS apps with Datadog RUM DevFeed: [Monitor watchOS and visionOS apps with Datadog RUM]() Original publisher: [Read original article]() Author: Jessica Manheimer; Maël Lilensten Published: 2026-07-06T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [real user monitoring](), [visionOS](), [watchOS](), [error tracking](), [Traces](), [SDKs](), [observability](), [User Experience](), [SwiftUI](), [iOS]() Tags: [apple](), [apple-watch](), [digital-experience-monitoring](), [error-tracking](), [net-11-preview-7](), [observability](), [real-user-monitoring](), [traces](), [user-experience](), [vision]() ### AI overview Datadog RUM extends crash reporting, error tracking, deobfuscated stack traces, and session-level observability to watchOS and visionOS apps. The article explains how teams can investigate failures and understand user interactions without a separate SDK. ### Source excerpt Monitor crashes, errors, and user sessions on watchOS and visionOS by using Datadog RUM with fully deobfuscated stack traces and no separate SDK required. ## DASH 2026 End-to-End Observability: Guide to Datadog's newest announcements DevFeed: [DASH 2026 End-to-End Observability: Guide to Datadog's newest announcements]() Original publisher: [Read original article]() Author: Datadog Published: 2026-06-09T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [observability](), [OpenTelemetry](), [Instrumentation](), [telemetry](), [real user monitoring](), [Application Performance Management (APM)](), [Front end](), [Kubernetes](), [dashboards](), [Monitoring](), [Cloud](), [Network]() Tags: [announcements](), [cloud](), [dash](), [digital-experience-monitoring](), [frontend](), [infrastructure](), [instrumentation](), [integrations](), [kubernetes](), [metrics](), [monitoring](), [observability](), [open-source](), [opentelemetry](), [saas](), [telemetry](), [traces](), [tracing]() ### AI overview DASH 2026 announcements expand Datadog's end-to-end observability coverage from frontend monitoring to the physical network. The roundup highlights faster instrumentation, deeper digital experience monitoring, broader cloud and infrastructure integrations, and native OpenTelemetry support, including correlated metrics, logs, and traces for infrastructure and Kubernetes workflows. ### Source excerpt A roundup of everything we announced at DASH 2026, including Service Remapping, new RUM and APM Single Step Instrumentation options, and Pipeline Simulation. ## Monitor critical user journeys with Datadog Journey Monitoring DevFeed: [Monitor critical user journeys with Datadog Journey Monitoring]() Original publisher: [Read original article]() Author: Maël Lilensten; Arti Arutiunov; Younes Berradia; Lauren Zuniga Published: 2026-06-09T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [real user monitoring](), [dashboards]() Tags: [availability](), [dashboards](), [digital-experience-monitoring](), [digital-experiences](), [metrics](), [monitoring](), [performance](), [product-analytics](), [real-user-monitoring](), [synthetic-monitoring]() ### AI overview Datadog Journey Monitoring centralizes user behavior, technical performance, availability SLOs, and synthetic test results to help teams assess critical digital journeys and investigate issues in context. ### Source excerpt See how teams can monitor critical digital experiences from a single hub. ## Get reliable answers to business questions with Bits Data Analysis DevFeed: [Get reliable answers to business questions with Bits Data Analysis]() Original publisher: [Read original article]() Author: Jonathan Morin; Jonathan Parisot; Harel Shein Published: 2026-06-09T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [Data analysis](), [data observability](), [semantic-layer](), [SIEM, Security, Observability](), [Model Context Protocol](), [ai-coding]() Tags: [ai](), [ai-coding](), [analytics](), [bits-ai](), [data-analytics](), [data-engineering](), [data-observability](), [digital-experience-monitoring](), [mcp](), [observability](), [root-cause-analysis](), [semantic-layer]() ### AI overview Bits Data Analysis, now in Preview, helps teams answer business questions with governed context from their data stack and Datadog telemetry. It uses metric definitions, lineage, freshness, quality signals, application telemetry, and source code to select appropriate data and provide confidence indicators with links to the definitions and tables used. ### Source excerpt Learn how Bits Data Analysis answers business questions using governed data context from Datadog. ## Trace network paths from devices to SaaS applications DevFeed: [Trace network paths from devices to SaaS applications]() Original publisher: [Read original article]() Author: Erica Ho; Natasha Silva Published: 2026-06-09T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [networking]() Tags: [analysis](), [devices](), [digital-experience-monitoring](), [end-user-device-monitoring](), [infrastructure-monitoring](), [latency](), [monitoring](), [network-device-monitoring](), [networking](), [performance](), [root-cause-analysis](), [routing](), [saas](), [telemetry]() ### AI overview The article explains how Datadog End User Device Monitoring and Network Path trace network paths from user devices to SaaS applications, exposing per-hop latency and packet loss to locate slowdowns. ### Source excerpt Diagnose per-hop latency across network hops from user devices to SaaS applications with Datadog End User Device Monitoring and Network Path.