The document discusses RTView Enterprise Monitor, a tool for end-to-end application monitoring. It notes that traditional monitoring uses silos that fail to provide visibility across tiers. RTView aims to unify monitoring sources to provide an integrated, application-level view with real-world context. It uses a dynamic service model to map applications and their dependencies, allowing users to see the health of entire services and drill down into underlying issues. The service model also enables role-based views and prioritization by application criticality.

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Redefining End-to-End Monitoring with RTView™Enterprise Monitor
Real-World Context and Application Healthstate – Service Model Integration

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E-Commerce App
Billing App
Trading App
Customer Service App
Complex, Multi-tier Architectures…
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Resource pooling and shared services
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Multiple tiers, multiple vendors
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Exponential Growth In Data Volumes and users
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24/7 operating windows
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Real-time performance requirements
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Global distributed data centers, operations

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Silo
Silo
Silo
Silo
Where Traditional Monitoring Fails…
Normalization, Correlation, Analysis, Prioritization, Prediction, (Pro)Action
Hosts
DBMS
App Servers
VMs
Manufacturing App
E-Commerce App
Trading App
Manufacturing App
Traditional Monitoring

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Redefining End-to-End Monitoring
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Unifies sources to enable visibility and insight into application health
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Integrated application- level view
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Real-world context
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Drill-down into supporting performance data
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Real-time and historical data analysis
E-Commerce App
Billing App
Customer Service App
Trading App
End-to-End Monitoring

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Silos vs. Application-Level Monitoring
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Applications drive the business
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Application owners require visibility into healthstate
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Visibility must be configurable by role
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Visibility must span network to application level – multi-tier
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Omnidirectional - Drill-down, drill-out, drill- through
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Prioritization by application criticality

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Real End-to-End Monitoring Requirements Across Tiers, Across Vendors, Enterprise-wide
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High-Performance Architecture
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Distributed, cache-based architecture to minimize latency
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Integrated, Dynamic Service Model
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Auto-generated, user-validated
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Sophisticated cross-correlations and visualizations
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Both application service-centric and infrastructure-centric views
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Visibility into the data that matter by role, criticality, severity

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Real-world Context Required!
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Thousands of boxes, oceans of alerts
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Dynamic pools of virtual resources
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Connect the dots
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Distribute the data
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Democritization of healthstate intelligence

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Service Model Integration – Maturity Curve
Maturity 1 Notifications
Maturity 2 Event Management
Maturity 3 End-to-End
Maturity 4 Service Desk/Trouble Ticket Integration

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Attempts to move away from Silos - Maturity1 Notifications
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Line of Business just panics with this info so often are not even included
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AppSupport/Dev eventually ignore these notifications because it is noise
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Operations only use it as indicators to go look at the siloed monitors
Physical Infrastructure
Storage
Middleware
APM
Log files
Email,
SMS
Line of Business
Operations
App Support
Development
ServiceDesk
Trouble Ticket

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Attempts to move away from Silos – Maturity 2 Event Management
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Line of Business just panics with this info so often are not even included
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Events are centralized to help manage ownership between teams
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Only events are available so all teams go back to silos for analysis
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No context available to help prioritize events
Physical/Virt. Infrastructure
Storage
Middleware
APM
Log files
Event Management
Line of Business
Operations
App Support
Development
ServiceDesk
Trouble Ticket

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Attempts to move away from Silos – Maturity 3 End to End
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Summary views that make sense to all teams
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Filtered alerts that apply only to the interests of the teams
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All info available in one spot to conduct analysis and raise trouble tickets
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The dynamic service model provides context for prioritization
Physical Infrastructure
Storage
Middleware
APM
Log files
RTView EM
Event Management
Cross correlation analysis
Dynamic Service Model
Line of Business
Operations
App Support
Development
ServiceDesk
Trouble Ticket

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Attempts to move away from Silos – Maturity 4 Integration with Service Desk/Trouble Ticketing
Physical Infrastructure
Storage
Middleware
APM
Log files
RTView EM
Event Management
Cross correlation analysis
Dynamic Service Model
Line of Business
Operations
App Support
Development
ServiceDesk
Trouble Ticket
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Bi-directional integration with Trouble Ticket systems
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When analysis indicates an event requires action, the trouble ticket can be manually initiated in RTView EM.
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RTView EM rules can be created to auto-create trouble tickets
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RTView event management can provide info about the status of the trouble ticket

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RTView EM Architecture
Display Server
Config Server
Alert Server
Rules Engine
Cache Map
Dev
QA
Ops
Solution Packages (Distributed Data Servers)
EM Server Layer
EM Metadata Layer
Data Server Layer

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Service Model – Organizing the Enterprise
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Associates individual architecture components hierarchically with application services, organizations and roles – both static and dynamic information
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Enables identification of service impact for an individual component problem
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Can be organized along lines of business, support models, or any way that facilitates end users accessing the information they need.
Owner
Area
Group
Service
JPeters
Operations- U.S.
Mortgage Derivatives
Trading & Operations
Middleware
Analytics
Inventory
RMorrissey
Workflow
Inventory Mgmt
Order Mgmt
CI
CI
CI
CI
CI
CI
CI

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Flexibility – Multiple Inputs Custom or Off-the-Shelf
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Integration layer enables aggregation of service model information from multiple sources
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Asset Management systems
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Change Management systems
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Helpdesk/Service Desk systems
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Others
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Auto-discovery
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Service Model editor
RTView Config Server
Helpdesk DB
Asset Mgmt DB
Provisioning Metadata
Service Model
Editor

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The Dynamic Service Model at Work
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The Dynamic Service Model is an in-memory real-time model of the health state of your systems
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Real time alerts and alert severities are used along with the criticality of the component or service to determine the health state of any leaf of the service hierarchy.
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End users each have their specific defined view into the service hierarchy to ensure relevance to individual areas of responsibility
End User
Dynamic
Service Model
Real time Alerts
Service Hierarchy

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Cross-Correlation and Click-through
1.
High level business service impacted
2.
Drill down to view component dependencies
3. Identify individual component issue with historical detail

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Application Service-Centric Heatmap

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Overall health state of a service
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Current health state of each underlying component
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Prioritize service alerts by criticality and impact
Drill-down into Tabular Cross-Correlation

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And to the the Component Level
Drill down to individual component to view metric history over a configurable time period

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Advanced Visualizations Services Area History Heatmap

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Getting the Right Info to the Right People
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Extremely Flexible
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Provides automatic role-based views of digestible intelligence
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Helps prioritize issues that impact your business
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Becomes a key tool in proactive, efficient and collaborative management of your systems
Without a Service Model, Users see only a sea of alerts with no prioritization by criticality or role

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Real End-to-End Monitoring Requirements Across Tiers, Across Vendors, Enterprise-wide
•
High-Performance Architecture
–
Distributed, cache-based architecture to minimize latency
•
Integrated, Dynamic Service Model
–
Auto-generated, user-validated
•
Sophisticated cross-correlations and visualizations
–
Both application service-centric and infrastructure-centric views
–
Visibility into the data that matter by role, criticality, severity

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Select RTView Customers
Financial
Services
Other
eCommerce/
Retail
Energy/
Telecom
500+
RTView Customers

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For More Information
Visit us at SL.com
Request a WebEx Demo
Start an Evaluation
Watch a Video

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Thank You!
Questions?

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Redefining End-to-End Monitoring with RTView™Enterprise Monitor
Real-World Context and Application Healthstate – Service Model Integration