RTView Enterprise Monitor

RTView Enterprise Monitor® Provides Complete End-to-End Application Monitoring of your Complex Applications built on Heterogeneous Middleware & Infrastructure

Middleware Monitoring, TIBCO, Oracle, IBM, Vmware, Solace Systems

Application Support and Operations teams can view the high level health state for their critical apps and drill down to the individual component to track real-time and historical performanceRTView Enterprise Monitor is an easy-to-use, easy-to-implement application monitoring solution designed to provide an end-to-end view of the health state for your most business-critical applications and the software and hardware that support them, including middleware, database, virtual machines, host and network.

RTView Enterprise Monitor provides a framework that leverages specialized solution packages for TIBCO, Oracle, IBM, VMware and other elements of your deployment environment from which you can pick and choose to tailor the scope of Enterprise Monitor’s monitoring capabilities to your specific needs.

RTView Enterprise Monitor provides the unique ability to utilize intelligent correlation and advanced visualization of monitoring data across any number of disparate elements in your infrastructure and enable application owners, enterprise architects and IT operations personnel to quickly and accurately locate the source of performance and availability issues and proactively address these much more quickly than with competing monitoring solutions.

RTView Enterprise Monitor enables users to:

    • Improve application performance – by allowing users to visualize potential performance bottlenecks in real-time as well as through historical trend analysis so that they can be addressed proactively.
    • Reduce downtime – by moving from reactive monitoring to proactive monitoring, users are able to identify “situations” before they become critical and impact overall application performance.
    • Speed mean time to recovery (MTTR) – by providing a “single pane of glass,” support personnel can quickly drill down to the source of problems without having to use multiple monitoring tools managed by different groups.
    • Gain analytical insight into your application infrastructure – by visualizing component stress levels over time to determine causal relationships and map future capacity requirements.

End-to-End

Redefining End-to-End Application Monitoring
Real end-to-end application monitoring enables proactive visibility into how critical apps are running across the technology as a whole. It provides visibility and drill-down capability from the high level application health down into individual component performance metrics in a heterogeneous environment.

1. An app support engineer is alerted to a change in the healthstate of an. 2. The Service Summary view indicates a problem with a VMware VM. 3. The user identifies the specific VM and sees a large increase in the

Solution Packages

Solution Packages are used for gathering metrics and data from Solution Packages are used for gathering metrics and data from specific technologies.specific technologies. They consist of six different pre-packaged components:

  • Data adapters: real time asynchronous or query-based polling
  • “Data Aggregations” transform and aggregate incoming data
  • Internal memory caches used for rapid access
  • Rule Engine enables custom rules and actions
  • Historian enables rules for how to aggregate and compact that data over time
  • Pre-built displays for both summary & drilldown views

 

 

Service Model

The service model allows RTView EM to calculate the health state of any service based on the health of its depenent components

An important part of the RTView Enterprise Monitor solution is the hierarchical Service Model that enables users to dynamically associate individual architecture components with a specific business application or service. This establishes the hierarchy of components, enabling an understanding of the business impact of a component problem. Users can then view high level consolidated views of critical application health that is correlated from multiple components. The Service Model can be configured in a number of ways, including existing CMDBs (Configuration Management Databases).

Intelligent Control Rules

Issues and problems are represented through alerts which are centralized in a single view. Through the use of intelligent control rules, simple and complex thresholds can be established using historical data. Thresholds can be variable at runtime to provide greater control and reduction of noise at peak operating times or during testing. Advanced filtering enables specific application owners and support teams to only view the events that impact their applications.

Each Solution package is delivered preconfigured with rules and appropriate thresholds that identify the most common stress points relevant to the technology. These rules and thresholds can be applied globally across many instances of the technology or overridden for a specific instance when there are special cases that need to be handled. Rules can be identified specifically for roles in your organization. For example an operations group might want to be notified if any server is down in a load balanced environment, while application support teams might only want to be notified if a percentage of load balanced servers are down.

Advanced Data Visualization

Effective end-to-end monitoring requires advanced data visualization techniques and a variety of graphical data representations that can be easily distributed via dashboards across multiple platforms and devices. Many monitoring tools provide simple heatmaps to display critical alert conditions based on straightforward thresholds and individual snapshots in time. RTView Enterprise Monitor adds correlated views (e.g., history heatmaps) to make heatmaps more intelligent. Summary information is presented at the top level, viewable by application or component, and an intuitive navigation pathway is provided through other displays that match a typical workflow. In this way, RTView enables a much deeper understanding of system performance, relating navigation and presentation to view holistic health state.

advanced Data Visualiztion - Tabular View

Services-in-Area-by-Group

RTView heatmaps can be used in many different and powerful ways, such as the service history heatmap below that shows alert state and relationship to a CMDB. RTView enables heatmaps using a graduated alert impact scale, viewing all applications that have more serious issues – invoking settings for criticality based on the relationships between metrics and applications.

Key-Metrics-History

Cache-History-Heatmap

Configuration and Customization

with the RTView Builder IDE, users can create custom and sophisticated data visualizationsRTView Enterprise Monitor provides the right information to the right people in exactly the way they need to see it to make the fastest, most effective decisions. Information and its presentation can be customized by roles and by function, enabling each group to constantly answer the specific questions that tell them whether their application or component is running as expected. Customized views, such as animated Visio-type diagrams where application-specific component performance can be tracked in the context of a process-flow diagram, can be quickly developed to provide the best information in the greatest context for each group or individual.

RTView Enterprise Monitor also allows for powerful customization using RTView Core. RTView Core Development Tools include the RTView Builder, a powerful interactive development environment for the rapid creation of diverse, interactive, and sophisticated data presentations.

Architecture

The architecture is extremely modular and specifically designed to be scalable. The main modular areas of scalability are data collection and persistence, analytics and rules, and data presentation. This allows a range of RTView Enterprise Monitor deployments from ones with very small footprints which may service one data center with less than a hundred services running on 1000s of hosts, to environments which span multiple data centers, 1000’s of services and over a hundred thousand hosts.

Scalability also factors into the actual users hitting the system. Small deployments might service one local operations center team. Large deployments might service teams looking at multiple environments (Prod, UAT, Dev), and multiple teams working around the world. Scalability in this case involves providing access to massive amounts of data to users around the world at optimal performance and optimal bandwidth usage and cost.

The architecture is extremely modular and specifically designed to be scalable.

 

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