Observe announced the launch of Frontend Observability, designed to observe and optimize end-user experiences.
Frontend Observability provides open-source agents and uses OpenTelemetry-based software development kits (SDKs) to collect data from users' browsers and mobile applications. Most importantly, it also correlates user journeys with both business metrics and back-end performance to understand incident impact and expedite resolution.
"To deliver great user experiences, DevOps teams need see the big picture of how people interact with their applications, and how this relates to backend systems," said Observe CEO Jeremy Burton. "Observe's new Frontend Observability is based on OpenTelemetry and open source agents so there is no vendor lock-in. Observability now starts with the moment a customer interacts with an application so DevOps teams can pull a thread through the entire stack in order to determine impact and root cause of any issues."
Frontend Observability includes Browser Real User Monitoring (RUM), which enables teams to quickly identify and diagnose performance issues across browsers, devices and locations. Using pre-built dashboards, RUM highlights anomalies in page load times, core web vitals, and JavaScript or HTTP errors, while also allowing teams to correlate frontend performance with backend services.
Additionally, with Mobile RUM, developers can gain visibility into mobile app performance and mobile user experiences. Teams can either instrument their mobile applications using OpenTelemetry (OTel) SDKs for Android and Swift to send mobile telemetry directly into the Observe platform to comingle signals, or they can utilize OTel-native SDKs from Observe's mobile partner, Embrace. Embrace's industry-leading mobile RUM solution sends aggregated signals and unified traces into Observe for context-rich, fine-grained insights into complex issues that impact mobile performance. Mobile RUM isolates issues such as sluggish app responsiveness, crashes, or high data consumption, helping teams fix issues quickly and maintain flawless mobile user experiences.
Complementing browser and mobile RUM, Observe's Synthetic Monitoring detects potential problems before they impact real users. Synthetic monitoring runs tests from cloud providers or third parties across geographical locations to continually assess the performance of web applications and API endpoints. All results are curated into pre-built dashboards and monitored with pre-built alerts.
Andrew Tunall, President and Chief Product Officer at Embrace, said: "Today's teams are building observability architectures based on OpenTelemetry, and part of that is a rich ecosystem where companies like Observe and Embrace can complement each other. Embrace makes it easier for teams to access enriched mobile data to modernize their observability practices and build better apps. With our shared dedication to OpenTelemetry and improving user experiences, we think this is a great next phase for customers."
Browser RUM and Synthetic Monitoring are available now. Mobile RUM is available in private preview. Observe customers can begin using Frontend Observability at no additional licensing cost.
The Latest
While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...
Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...
For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...
For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...
Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...
Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...
Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...
Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...
AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...
More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...