AppDynamics announced enhancements to its Unified Monitoring solution that broaden the scope of AppDynamics infrastructure monitoring and application language support, as part of the Winter ’16 Release,
AppDynamics is releasing an enhanced and updated version of Server Infrastructure Monitoring, giving enterprises a unique application-centric view of server performance to support rapid troubleshooting of poor end-user experience. The new release also moves C/C++ monitoring from beta to general availability, bringing the powerful capabilities of AppDynamics Application Performance Management to C/C++ applications.
The company also announced the availability of more than two dozen new extensions that expand AppDynamics’ monitoring capabilities to more application and infrastructure components, including many for Amazon Web Services.
Like all other components of the AppDynamics Application Intelligence Platform, Server Infrastructure Monitoring leverages business transaction context to provide insights with server dependency and metric views. This application-centric view enables enterprises to quickly drill down from the application flow map to identify and resolve server issues that impact user experience.
Server Infrastructure Monitoring is an integral component of AppDynamics Unified Monitoring, joining end-user, application, and database monitoring to provide a comprehensive, end-to-end view of the entire application ecosystem. Unified Monitoring breaks down the silos that occur when multiple performance management tools are used, and dramatically speeds up MTTR (mean time to resolution) to minimize the impact of issues on user experience.
“It is absolutely critical in today’s complex and highly distributed application environments to have a single, unified view of the performance of business transactions from the user to the application to the server infrastructure,” said Kalyan Ramanathan, VP of Product Marketing for AppDynamics. “An enterprise can’t be a successful digital business if its view of performance has to be pieced together from data generated by siloed tools. You just can’t see the transaction sequence holistically to understand exactly where problems are occurring. And you can’t react quickly enough to ensure user experience is protected.”
Server Infrastructure Monitoring provides comprehensive CPU, memory, disk, networking, and running processes metrics for Linux and Windows servers. With the new solution, customers can drill down to detailed server metrics directly from the end-to-end application flow map while troubleshooting application performance issues.
Available as an add-on to Server Monitoring, the Service Availability Monitoring pack delivers availability and basic performance metrics for HTTP services running on servers not monitored via an AppDynamics agent.
Also supporting the comprehensive capabilities of AppDynamics Unified Monitoring, C/C++ application monitoring becomes generally available with the Winter ’16 Release. With the monitoring capabilities provided by the C/C++ agent SDK, enterprises can leverage powerful AppDynamics monitoring capabilities to manage their C/C++ applications. Those capabilities include automatic discovery and mapping of all tiers that service and interact with the C/C++ applications, automatic dynamic baselining, data collectors, and health rules, as well as managing key metrics including application load and response times, and key system resources including CPU, memory, and disk I/O.
As with AppDynamics’ support for other essential application languages, C/C++ monitoring gives IT operations an end-to-end view of business transactions, from user to database, and enables drill down from the application flow map to support rapid root cause identification and resolution.
Concurrently with the Winter ’16 Release, AppDynamics also announced the release of 25 new extensions, including 19 for monitoring Amazon Web Services (AWS) components. The AppDynamics Exchange now offers nearly 150 extensions to extend monitoring coverage for specific application and infrastructure components.
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 ...