5.1

10 vFabric Suite
10 Overview of vFabric Suite 5.1
machine and JVM are configured correctly for EM4J and see detailed information about the JVM process and memory usage.
Alerts warn of EM4J configuration problems and suggest best practices.
Spring Insight Operations 1.8 Engineered for vSphere, Spring, and Production Environments
Spring Insight Operations gives you real-time, granular visibility into application behavior and performance in production
environments. It is a Web application that runs with tc Server Spring Edition and is a separate download.
Insight Operations graphs the health of an application over time for the entire cluster and for each server in the cluster.
Administrators see application and server problems as they occur, with detailed information about contributing events, presented
in one unified dashboard. You can quickly identify under performing servers, server errors, and trace details for specific events
and exceptions.
VMware partners with Google to integrate Spring Insight data into SpeedTracer, a Google Chrome extension that analyzes
how your application is performing inside the browser and that ties browser performance to backend performance. If your Web
application uses Ajax and other rich open Web technologies, try SpeedTracer with Spring Insight.
Main features of Spring Insight Operations 1.8:
• Automatic instrumentation of Spring applications running on tc Server expose application performance from both general and
fine-grained perspectives.
• Isolation of performance problems by application, endpoint, application server, and method.
• Tracking of performance over time, to understand whether problems are chronic or spurious.
• Response-time histograms that reveal whether performance problems affect many users, or a small subset.
• Highly performant instrumentation with sub-microsecond impact to application response time, designed for applications in
production.
• Integration with vFabric Hyperic that enables operations and development teams to view a single set of both server-oriented
and application-oriented performance, and collaborate more effectively to fix performance problems faster. Spring Insight
metrics give Hyperic a broader range of data for triggering alerts and for control actions that implement automatic problem
remediation.
vFabric Hyperic 4.6
VMware® vFabric™ Hyperic® provides more than 50,000 performance metrics on more than 75 technologies at every layer of
the application infrastructure. It consolidates complete discovery, monitoring, analysis and control of all application, system, and
network assets -- including other vFabric Suite components -- both inside and outside of virtual machines powered by VMware.
Hyperic provides proactive performance management through transparent visibility into dynamic applications deployed across
physical, virtual, and cloud environments. You can monitor all applications from a single console.
At startup, Hyperic automatically discovers and adds new servers and VMs to inventory; configures monitoring parameters; and
collects performance metrics and events. This level of automation lets you deploy fully monitored VMs with minimal effort and
scale out monitoring across your virtual infrastructure.
Main features of vFabric Hyperic 4.6:
• Simplifies management of virtualized applications by maintaining a continually updated inventory of vSphere ESXi and ESX
hosts, their virtual machines, and guest operating systems.
• tc Server plug-in for easier, remote management and monitoring of multiple tc Server instances and applications. See tc Server
Plug-In for Easier Management and Monitoring.
• Spring Insight plug-In for in-depth application monitoring. The plug-in makes it easier to discover whether a problem is
infrastructure or application-related. See Spring Insight Plug-In for In-Depth Application Metrics.
• Centralized plug-in manager that synchronizes Hyperic plug-ins between Hyperic Server and all Hyperic Agents in the
environment, enabling system administrators to easily configure and upgrade agents distributed across hundreds of servers.