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Dynatrace Introduces Session Replay

Dynatrace announced Session Replay, which allows organizations to play back unique web or mobile sessions in a “movie-like” experience, providing an end-to-end record of the customer journey from the user’s perspective.

Session Replay joins Dynatrace’s Real User and Synthetic Monitoring capabilities to extend the company’s all-in-one digital experience management offering.

With the Session Replay enhanced digital experience management offering, organizations can significantly improve service quality and increase overall customer and brand satisfaction through AI-powered insights into user experience across all devices and digital channels.

Dynatrace’s digital experience management offering is purpose-built for modern cloud and single page applications; overcoming the limitations of traditional network-based approaches and other point solutions, which are unable to provide integrated visibility into modern environments. Now with Session Replay, IT and digital business teams benefit from a solution that is:

- High fidelity – Session Replay lets organizations visualize their user journeys in 4K by showing exactly what people see in a movie-like experience, and then indexing user sessions for easy search and analysis.

- Easy and automatic – The new Session Replay capability features fully automatic deployment and continuous auto-discovery, making it easy to implement and manage even in highly dynamic environments, compared to point solutions requiring manual instrumentation and configuration.

- All-in-one – The new Session Replay capability is an integral part of Dynatrace’s Digital Experience Management solution alongside Real User Monitoring and Synthetic Monitoring, and leverages the Dynatrace® AI engine to automatically understand where problems are and who is affected.

- End-to-end – Issues seen with Session Replay can be tracked through the entire cloud stack to the precise root cause, even down to a specific line of problematic code, in a particular DevOps release.

“The addition of Session Replay marks an important milestone in our mission to transform the way organizations monitor, track and enhance their digital user experiences by enabling organizations to see what users are experiencing first-hand. As part of our DEM and advanced AI capabilities, Session Replay makes it easier to see a user journey, so teams can identify where poor experiences are occurring, and implement improvements to optimize,” said Steve Tack, SVP of Product Management at Dynatrace.

Dynatrace Session Replay is currently available via an Early Adopters Program, with general availability to follow.

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Dynatrace Introduces Session Replay

Dynatrace announced Session Replay, which allows organizations to play back unique web or mobile sessions in a “movie-like” experience, providing an end-to-end record of the customer journey from the user’s perspective.

Session Replay joins Dynatrace’s Real User and Synthetic Monitoring capabilities to extend the company’s all-in-one digital experience management offering.

With the Session Replay enhanced digital experience management offering, organizations can significantly improve service quality and increase overall customer and brand satisfaction through AI-powered insights into user experience across all devices and digital channels.

Dynatrace’s digital experience management offering is purpose-built for modern cloud and single page applications; overcoming the limitations of traditional network-based approaches and other point solutions, which are unable to provide integrated visibility into modern environments. Now with Session Replay, IT and digital business teams benefit from a solution that is:

- High fidelity – Session Replay lets organizations visualize their user journeys in 4K by showing exactly what people see in a movie-like experience, and then indexing user sessions for easy search and analysis.

- Easy and automatic – The new Session Replay capability features fully automatic deployment and continuous auto-discovery, making it easy to implement and manage even in highly dynamic environments, compared to point solutions requiring manual instrumentation and configuration.

- All-in-one – The new Session Replay capability is an integral part of Dynatrace’s Digital Experience Management solution alongside Real User Monitoring and Synthetic Monitoring, and leverages the Dynatrace® AI engine to automatically understand where problems are and who is affected.

- End-to-end – Issues seen with Session Replay can be tracked through the entire cloud stack to the precise root cause, even down to a specific line of problematic code, in a particular DevOps release.

“The addition of Session Replay marks an important milestone in our mission to transform the way organizations monitor, track and enhance their digital user experiences by enabling organizations to see what users are experiencing first-hand. As part of our DEM and advanced AI capabilities, Session Replay makes it easier to see a user journey, so teams can identify where poor experiences are occurring, and implement improvements to optimize,” said Steve Tack, SVP of Product Management at Dynatrace.

Dynatrace Session Replay is currently available via an Early Adopters Program, with general availability to follow.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...