AppDynamics announced a self-service freemium version of AppDynamics Mobile Real-User Monitoring, its disruptive, next-generation solution for collecting mobile application behavioral analytics and managing the 24/7 performance of mobile applications in real time.
And after 15 days free use of the full featured trial product, the mobile crash analytics capabilities remain free forever, with an industry-best data retention plan of 365 days.
AppDynamics Mobile Real-User Monitoring (RUM) delivers powerful and deep visibility into every business transaction originating from any mobile device and traveling across the most complex, multi-tier backend services and application orchestrations. This unprecedented visibility takes the guesswork out of delivering superior mobile experiences.
AppDynamics today is making available a self-service, free 15-day trial of the full-featured AppDynamics Mobile Real-User Monitoring Pro. After 15 days, the Pro version converts to the limited-functionality AppDynamics Lite, which includes the powerful mobile crash analytics entirely free, forever. With mobile crash analytics data available for 365 days, mobile-centric enterprises can deliver a more measured, composed, and managed mobile user engagement at very affordable costs.
AppDynamics Mobile Real-User Monitoring includes:
- Mobile Business Transaction Correlation. The deep metrics provided by AppDynamics Real-User Monitoring allow mobile developers and IT operations to drill down into individual lines of code across every hop in a business-critical transaction; collaborate to resolve performance issues faster than ever before; and together win customer satisfaction.
- Mobile Crash Analytics. Best-in-class AppDynamics crash analytics capabilities allow mobile developers to quickly identify unique and recurring crashes for specific devices, operating systems, or carrier types, and fix them before they do serious damage to their ratings in the app stores.
- Enhanced Mobile End-User Experience Management Capabilities. With the new enhancements, mobile developers receive critical insights into the impact of network request latencies on the end-user mobile experience.
- Mobile Behavioral Analytics. With new mobile analytics capabilities mobile developers can now measure and benchmark business information, such as the average dollar value of a mobile shopping cart or behavioral patterns such as the frequency of customers adding items to the shopping cart, all in real time.
- Available as Software-as-a-Service (SaaS) and On-Premise. AppDynamics Mobile Real-User Monitoring is the only mobile application performance monitoring solution offering SaaS or on-premise deployment flexibility. The SaaS and on-premise products have 100 percent feature parity, with no loss in functionality while moving from one to another.
"If you don't know what your mobile users are doing or know at what point and why your mobile app is crashing, you're essentially flying blind in this brave new mobile world. Customers have little patience for poor mobile experiences. Not only does it hurt revenue, it also hurts brand perception," said Jyoti Bansal, founder and CEO of AppDynamics. "With such rich mobile app performance management capabilities available in the market today, there is no reason businesses should leave their brand experience to chance. And with mobile crash analytics, you can quickly pinpoint the causes of mobile crashes and get them fixed before your users defect in droves."
The AppDynamics mobile platform is enjoying rapid traction and adoption within leading organizations in North America and Europe that depend on mobile as a significant contributor to their operations and revenue.
The free, professional full-featured 15-day trial version of AppDynamics Mobile Real-User Monitoring is available today. After 15 days, the product converts to a lite version, but trial users continue to receive valuable AppDynamics mobile crash analytics data for free, forever. And best of all, the free mobile crash analytics data, in an industry-best offer, is retained for 365 days, allowing mobile developers to learn from historical trends and patterns.
The Latest
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 ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...
Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...
Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...