Managing Complexity Across Today’s Application Delivery Chain:
Six key indicators for prioritizing application performance improvements
Today’s application delivery chain is harder to manage than ever. Applications ranging from mission-critical legacy systems to innovative productivity tools running on employee-owned smartphones all must be delivered flawlessly. Additionally, technologies like virtualization, the cloud and WAN optimization make managing performance even more complex. As each new application generation is deployed on top of existing assets, managing system-wide application availability and performance becomes increasingly dependent on a growing collection of incompatible tools, informal processes and multiple – often siloed – stakeholders.
This complexity is only going to grow. In this webinar, you will learn how to tame complexity and optimally manage application availability and performance.
• J.P. Garbani, of Forrester Research, highlights new research that assesses the complexity in IT operations, both now and in the future.
• Compuware’s Steve Tack details a strategic approach that will allow customers to plan and implement a coherent, structured APM framework based on the concept of an APM “Performance Journey.”
You'll learn :
• six key indicators that will reveal your APM problem areas
• how to develop a performance journey roadmap based on five core areas of APM best practices in order to manage and monitor application complexity more efficiently
• how to achieve the following goals:
• increase productivity while lowering costs
• maintain and improve service quality
• adopt new service demand quickly and efficiently
• align IT goals to meet business needs
• what the future holds for IT operations
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Managing Complexity Across Today’s Application Delivery Chain:Six key indicators for prioritizing application performance improvements
1. Managing Complexity Across
Today’s Application Delivery Chain –
The Six Key Indicators For Prioritizing Application
Performance Improvements
Our Speakers
Jean-Pierre Garbani, Steve Tack,
Vice President and Principal Analyst, CTO, Compuware APM
Forrester Research
23. Traditional Application Performance Management
Traditional Approach
…user is
happy
DB Network Server The Application Delivery Chain
Customers
Data Center
Browsers
Local
DB App Web ISP
Mainframe Server Server Server Major
ISP
Storage Network
Employees Employees
24. The Reality: End Users Are Often Unhappy
Traditional Approach
Slow response time …user is
NOT happy
DB Network Server The Application Delivery Chain
Geographic disparities
Customers
Transactions fail
4 sec’s
Data Center
22 sec’s Browsers
Local
DB App Web ISP
Mainframe Server Server Server Major
ISP
Faulty display or operation
Storage Network
Employees Employees
25. The Application Performance Challenge:
The Application Delivery Chain Has Changed…
The Application Delivery Chain
Customers
Data Center
Browsers
Local
DB App Web ISP
Mainframe Server Server Server Major
ISP
Storage Network
Employees Employees
26. The Application Performance Challenge:
Data Center is More Complex
The Application Delivery Chain
Customers
Data Center
Browsers
Virtual/Physical Environment
Local
DB App Web Load ISP
Mainframe Servers Servers Servers Balancers Major
ISP
Storage
Network
Web Mobile WAN
Services Components Optimization
Employees Employees
27. The Application Performance Challenge:
The Web is More Complex
The Application Delivery Chain
Customers
Browsers
Local
Data Center ISP
3rd Party/
Virtual/Physical Environment Cloud Services
DB App Web Load
Mainframe Servers Servers Servers Balancers Major
ISP
Storage
Network Content
Delivery
Networks
Web Mobile WAN
Services Components Optimization Mobile
Carrier
Devices
Employees Employees
28. The Application Performance Challenge:
The Cloud Has Arrived
The Application Delivery Chain
Cloud Customers
Private Public Browsers
Local
Data Center ISP
3rd Party/
Virtual/Physical Environment Cloud Services
DB App Web Load
Mainframe Servers Servers Servers Balancers Major
ISP
Storage
Network Content
Delivery
Networks
Web Mobile WAN
Services Components Optimization Mobile
Carrier
Devices
Employees Employees
29. The Application Performance Challenge:
Problems Everywhere Along the Delivery Chain
The Application Delivery Chain
• Resource
contention
• Capacity issues
Cloud • Slow bursting
Customers
Private Public Browsers
Local
Data Center • Inconsistent geo performance ISP
• Bad performance under load 3rd Party/
Virtual/Physical Environment
• Blocking content delivery Cloud Services • Poorly
performing
DB App Web Load • Network JavaScript
Mainframe Servers Servers Servers Balancers Major peering • Browser/
ISP problems device
• Poorly performing • Network incompatibility
Java or .NET problems • Bandwidth
methods throttling • Pages too big
• Bandwidth • Network
• Slow contention • Inconsistent • Low cache
Storage SQL or Web
services • Improper load
peering connectivity hit rate
transactions
Network problems Content
balancing • Outages
• Server performance Delivery
Networks
Web Mobile WAN
Services Components Optimization Mobile
• Configuration issues
• Oversubscribed POP Carrier
• Poor routing optimization Devices
Employees Employees
• Low cache hit rate • Network resource shortage
• Faulty content transcoding
• SMS routing / latency issues
30. 5 Core Capabilities of APM
Performance Measurement
The ability to
measure application
performance from
the end-user’s
perspective across
the entire application
delivery chain
31. 5 Core Capabilities of APM
Performance Measurement
The ability to identify
incidents, isolate
Problem Resolution fault domain,
determine root cause
and resolve
application
performance
problems
32. 5 Core Capabilities of APM
Performance Measurement
The ability to
Problem Resolution
continuously identify,
prioritize , implement
and measure the
Performance Improvement results of application
improvement
opportunities
33. 5 Core Capabilities of APM
Performance Measurement
Problem Resolution The ability to ensure
user experience can
scale with load prior
Performance Improvement to launching new
applications or
deploying
infrastructure
Production Readiness changes
34. 5 Core Capabilities of APM
Performance Measurement
Problem Resolution
Performance Improvement The ability to provide
role-specific insight
that enables superior
decision-making
Production Readiness
Performance Reporting
35. Performance Measurement
Adopt a Customer/User Point of View
Test/monitor your app the way your users access it:
• What they do The Application Delivery Chain
(key transactions)
• Where they do it (geographic locations)
• How they do it (browsers and mobile devices)
Prioritize and resolve issues Cloud Customers
• Measure the business impact Public
Private (users) Browsers
Local
Data Center • Isolate root causes ISP
3rd Party/
Virtual/Physical Environment Cloud Services
DB App Web Load
Mainframe Servers Servers Servers Balancers Major
ISP
Customer/user point of view
Storage
Network Content
Delivery
Networks
Web Mobile WAN
Services Components Optimization Mobile
Carrier
Devices
Employees Employees
36. Problem Resolution
Pay Attention to All Fault Domains
Cloud Customers
Private Public Browsers
Local
Data Center ISP
3rd Party/
Virtual/Physical Environment Cloud Services
DB App Web Load
Servers Servers Servers Balancers Major
Mainframe ISP
Storage
Network Content
Delivery
Networks
Web Mobile WAN Mobile
Services Components Optimization Carrier
Devices
Employees
Employees
37. Problem Resolution
Pay Attention to All Fault Domains
Automate root cause analysis
across the application delivery
chain
Cloud Customers
Private Public Browsers
Local
Data Center ISP
3rd Party/
Is it my Is it an Is it a Is it a
Virtual/Physical Environment
DB App Web Load
Cloud Services
ISP or the 3rd party browser
Major
data
Mainframe Servers Servers Servers Balancers
ISP
center or Internet? provider? or device?
Storage
Network
WAN? Content
Delivery
Networks
Mobile
Web Mobile WAN Carrier
Services Components Optimization Devices
Employees
Employees
39. Performance Improvement
Prioritize Initiatives Based on Business Impact
Benchmark placement Evaluate based on end user
against competition impact, not just application
infrastructure
End-user experience
response time
40. Production Readiness
Test Across the Entire Application Delivery Chain
The Application Delivery Chain
Load Testing 2.0
Load Testing 1.5
Load Testing 1.0 Cloud Customers
Private Public Browsers
Local
Data Center ISP
3rd Party/
Virtual/Physical Environment Cloud Services
DB App Web Load
Mainframe Servers Servers Servers Balancers Major
ISP
Storage
Network Content
Delivery
Networks
Web Mobile WAN
Services Components Optimization Mobile
Carrier
Devices
Employees Employees
41. Production Readiness
Test Across the Entire Application Delivery Chain
The Application Delivery Chain
Load Testing 2.0
Load Testing 1.5
• Drive peak load that meets business
objectives
Load Testing 1.0 Cloud
• Identify performance problems caused by
Private Public Browsers
Customers
third-party content and services Local
Data Center ISP
• Test key device and browser combinations
3rd Party/
Virtual/Physical Environment Cloud Services
DB App Web Load
Mainframe Servers Servers Servers Balancers Major
ISP
Storage
Network Content
Delivery
Networks
Web Mobile WAN
Services Components Optimization Mobile
Carrier
Devices
Employees Employees
42. Performance Reporting
Focus on the Business, Not the Infrastructure
• Role-based dashboards
• Prioritize business issues
• Real-time SLA tracking & reporting
• Contextual drill-down
43. How To Deliver Quality Web And Application
Experiences To Users – Performance Journey
LEVEL 5
P E RVA S I V E
LEVEL 4
• Active
OPTIMIZED management
LEVEL 3 of the application
• Broad EUE visibility
EFFECTIVE and deep dive delivery chain
LEVEL 2 diagnostics across • Real-time
• EUE & transaction
AWARE app delivery chain visibility used to
visibility across the
LEVEL 1 • Automation of orchestrate
• Basic awareness of app delivery chain
REACTIVE problem analysis service delivery
EUE app • Accelerated
performance and diagnosis • Leverage
problem resolution
• Limited awareness of • Initiatives “collective
• Can identify via deep-dive
end-user experience prioritized based intelligence”
problems, but diagnostics
(EUE) app on business impact across the
root-cause analysis • Problems
performance with deep root internet
takes too long prioritized by
• Reactive problem cause insight
• Performance business impact
resolution and
baselined and Business
frequent war rooms
trends tracked Agility and
• Technology-centric, Optimize Competitive
element-level Prioritize App & IT Edge
visibility by Business Performance
EUE
Impact
Visibility
44. Questions?
Compuware Customers Enjoy
Measurable Benefits
• Increased revenue 25%
• Reduced revenue loss by
92% and $737,251 annually
• Reduced home page load time
from 11.3 seconds
to 3.4 seconds
• Saved 50%+ in staff and fees
• Reduced downtime 45%
• Improved first-hour problem
resolution rate to 80%
• Improved annual
troubleshooting efficiency by
97%, saving $784,000
• Reduced SAP license costs by
$475,000 per year
For more information visit compuware.com