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
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...