AppDynamics Server Monitoring Now Available For Public Beta
Fully integrated into the AppDynamics Application Intelligence Platform, Server Monitoring provides visibility through silos that can otherwise impede true end-to-end visibility
- Solution is key component of AppDynamics Unified Monitoring, complementing end-user, application, and database monitoring solutions
SAN FRANCISCO – JUNE 23, 2015 – AppDynamics, a leading application intelligence company, today announced the public beta of Server Monitoring, its application-centric server monitoring platform that proactively detects and helps quickly resolve server performance issues in context of business transactions. Server Monitoring is a key component of the AppDynamics Unified Monitoring solution, complementing AppDynamics’ end-user, application and database monitoring to provide end-to-end visibility of application performance and reduced monitoring complexity, all with the goal of optimizing the end-user experience.
An integral part of the AppDynamics Application Intelligence Platform, Server Monitoring provides enhanced host visibility; extended CPU, network and storage performance metrics; a comprehensive dashboard; and detailed process list information.
Key benefits and functionality of Server Monitoring include:
Enhanced CPU, network and storage performance metrics with comprehensive dashboard
Detailed information on all running processes on the servers
Configurable health rules and policies for automating the identification and resolution of server performance issues
Correlation of application and server performance, with detailed snapshots
Proactive alerting when transaction performance violates baselines, avoiding unnecessary alert storming
Troubleshooting and diagnosis of performance issues in a live production environment using fine-grained historical data
Server scalability analysis with pre-built correlation between CPU utilization/response time and application load
The solution requires minimal configuration, can be deployed in minutes, and generally consumes less than two percent overhead. It offers the flexibility of deployment on-premises, via SaaS, or as a hybrid, as part of AppDynamics Application Intelligence Platform. Finally, the system integrates with incident and alerting systems including ServiceNow, PagerDuty, and Jira.
“Server monitoring is a critical component for an effective end-to-end performance monitoring strategy,” said Jyoti Bansal, AppDynamics founder and CEO. “Server Monitoring addresses that need, and as an integral element of the AppDynamics Application Intelligence Platform, helps to break down the silos that obscure true end-to-end, application-to-infrastructure visibility. By tracing business transactions across the entire application environment, the AppDynamics platform simplifies and accelerates root cause identification and resolution, minimizing impact on users.”
For more details about today’s news please read the AppDynamics blog.
The AppDynamics Application Intelligence Platform is a comprehensive solution enabling companies and government entities to maximize business and application performance. The platform is designed and architected to give business and government users the confidence that their business or organization is running at its best, to give IT the operational visibility and control they need, and to give end users the great experiences they’ve come to expect and demand.
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AppDynamics is the Application Intelligence company. With AppDynamics, enterprises have real-time insights into application performance, user performance and business performance so they can move faster in an increasingly sophisticated, software-driven world. AppDynamics’ integrated suite of applications is built on its innovative, enterprise-grade App iQ Platform that enables its customers to make faster decisions that enhance customer engagement and improve operational and business performance. AppDynamics is uniquely positioned to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale.
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