Use Cases

The following are the use cases of BTM organized by roles; scroll down to your specific role of interest to see how BTM could benefit you.

Application Owners

• Quantification of transaction volumes and transaction performance makes transaction visibility possible across all users at all locations.
• Service level visibility, alerting and reporting allows BTM users to monitor service levels by business transaction and location and therefore reduce SLA violations.

Application Support

• Quantification of transaction volumes and transaction performance makes transaction visibility possible across all users at all locations.
• Proactive problem identification and outage prevention enables rapid progress from problem identification to isolation and resolution, as business impact analysis quantified by applications, transactions, and locations is performed.
• User behavior validation with BTM validates user performance compared to other users and locations, identifies and alerts on application error codes, and reviews user sessions and examines actual versus expected behavior and navigation.
• Problem isolation (outside data center) will quantify performance between internal Data Center and external  network/browser/user, reduce time to problem isolation by 50-90%, and identify business impact (total users and locations affected by performance problem)
• Problem Isolation (inside data center) will auto-discover all transactions and visualize each transaction topology, monitor performance of all tiers for all transaction instances from all users in production 24x7, pinpoint intermittent performance issues, reduce time to problem isolation by 50-90%, and avoid inefficient SWAT/war room/bridge calls.
• Resource management and capacity planning will enable IT to view resource consumption at the transaction instance level to quickly identify resource hogs, identify transactions that are growing in usage and consumption of resources, determine effectiveness of load balancing, clustering and other architectural decisions, identify transactions that can move to a shared environment from dedicated hardware (high ROI), and also identify resource intensive transactions that need to move from a shared resource to dedicated hardware in order to improve performance and end user experience.

Line of Business

• Service level visibility, alerting and reporting allows BTM users to monitor service levels by business transaction and location and therefore reduce SLA violations.
• User behavior validation with BTM validates user performance compared to other users and locations, identifies and alerts on application error codes, and reviews user sessions and examines actual versus expected behavior and navigation.
• Resource management and capacity planning will enable IT to view resource consumption at the transaction instance level to quickly identify resource hogs, identify transactions that are growing in usage and consumption of resources, determine effectiveness of load balancing, clustering and other architectural decisions, identify transactions that can move to a shared environment from dedicated hardware (high ROI), and also identify resource intensive transactions that need to move from a shared resource to dedicated hardware in order to improve performance and end user experience.

Operations

• Proactive problem identification and outage prevention enables rapid progress from problem identification to isolation and resolution, as business impact analysis quantified by applications, transactions, and locations is performed.
• Problem isolation (outside data center) will quantify performance between internal Data Center and external  network/browser/user, reduce time to problem isolation by 50-90%, and identify business impact (total users and locations affected by performance problem)
• Problem Isolation (inside data center) will auto-discover all transactions and visualize each transaction topology, monitor performance of all tiers for all transaction instances from all users in production 24x7, pinpoint intermittent performance issues, reduce time to problem isolation by 50-90%, and avoid inefficient SWAT/war room/bridge calls.
• Resource management and capacity planning will enable IT to view resource consumption at the transaction instance level to quickly identify resource hogs, identify transactions that are growing in usage and consumption of resources, determine effectiveness of load balancing, clustering and other architectural decisions, identify transactions that can move to a shared environment from dedicated hardware (high ROI), and also identify resource intensive transactions that need to move from a shared resource to dedicated hardware in order to improve performance and end user experience.

Quality Assurance

• Production roll-out risk reduction and user acceptance enables IT to quickly identify end-user issues and isolate problematic transactions in new releases, reduce time for applications / revisions to stabilize in production (i.e. “day one” roll-out stability), and improve user satisfaction by objectively analyzing end user experience, and end user application usage patterns,
• Reducing production rollout risk allows BTM users to quickly identify and isolate problematic transactions in new releases, view performance and resource consumption of all tiers/components in new releases, see interactions between components, and identify “chatty” transactions that may not perform well under load.

Performance Testing

• Production roll-out risk reduction and user acceptance enables IT to quickly identify end-user issues and isolate problematic transactions in new releases, reduce time for applications / revisions to stabilize in production (i.e. “day one” roll-out stability), and improve user satisfaction by objectively analyzing end user experience, and end user application usage patterns,
• Reducing production rollout risk allows BTM users to quickly identify and isolate problematic transactions in new releases, view performance and resource consumption of all tiers/components in new releases, see interactions between components, and identify “chatty” transactions that may not perform well under load.

Performance-Engineering

• Production roll-out risk reduction and user acceptance enables IT to quickly identify end-user issues and isolate problematic transactions in new releases, reduce time for applications / revisions to stabilize in production (i.e. “day one” roll-out stability), and improve user satisfaction by objectively analyzing end user experience, and end user application usage patterns,
• Reducing production rollout risk allows BTM users to quickly identify and isolate problematic transactions in new releases, view performance and resource consumption of all tiers/components in new releases, see interactions between components, and identify “chatty” transactions that may not perform well under load.

Capacity Planning

• Resource management and capacity planning will enable IT to view resource consumption at the transaction instance level to quickly identify resource hogs, identify transactions that are growing in usage and consumption of resources, determine effectiveness of load balancing, clustering and other architectural decisions, identify transactions that can move to a shared environment from dedicated hardware (high ROI), and also identify resource intensive transactions that need to move from a shared resource to dedicated hardware in order to improve performance and end user experience.
• Reducing production rollout risk allows BTM users to quickly identify and isolate problematic transactions in new releases, view performance and resource consumption of all tiers/components in new releases, see interactions between components, and identify “chatty” transactions that may not perform well under load.
• Production roll-out risk reduction and user acceptance enables IT to quickly identify end-user issues and isolate problematic transactions in new releases, reduce time for applications / revisions to stabilize in production (i.e. “day one” roll-out stability), and improve user satisfaction by objectively analyzing end user experience, and end user application usage patterns

Call Center

• Resource management and capacity planning will enable IT to view resource consumption at the transaction instance level to quickly identify resource hogs, identify transactions that are growing in usage and consumption of resources, determine effectiveness of load balancing, clustering and other architectural decisions, identify transactions that can move to a shared environment from dedicated hardware (high ROI), and also identify resource intensive transactions that need to move from a shared resource to dedicated hardware in order to improve performance and end user experience.
• Problem isolation (outside data center) will quantify performance between internal Data Center and external  network/browser/user, reduce time to problem isolation by 50-90%, and identify business impact (total users and locations affected by performance problem)
• User behavior validation with BTM validates user performance compared to other users and locations, identifies and alerts on application error codes, and reviews user sessions and examines actual versus expected behavior and navigation.
• Problem Isolation (inside data center) will auto-discover all transactions and visualize each transaction topology, monitor performance of all tiers for all transaction instances from all users in production 24x7, pinpoint intermittent performance issues, reduce time to problem isolation by 50-90%, and avoid inefficient SWAT/war room/bridge calls.
• Proactive problem identification and outage prevention enables rapid progress from problem identification to isolation and resolution, as business impact analysis quantified by applications, transactions, and locations is performed.

Administrators

• Problem isolation (outside data center) will quantify performance between internal Data Center and external  network/browser/user, reduce time to problem isolation by 50-90%, and identify business impact (total users and locations affected by performance problem)
• Problem Isolation (inside data center) will auto-discover all transactions and visualize each transaction topology, monitor performance of all tiers for all transaction instances from all users in production 24x7, pinpoint intermittent performance issues, reduce time to problem isolation by 50-90%, and avoid inefficient SWAT/war room/bridge calls.