Date post: | 22-Feb-2017 |
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My Application Is Slow!
Best Practices for Troubleshooting and Prevention
Frank OhlhorstEnterprise IT Analyst & [email protected]
Srinivas Ramanathan, CEOeG Innovations
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Moderator
Christine AckleyDirector of Marketing OperationseG [email protected]
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Logistics Please submit your questions at any time during the
webinar using the questions panel on the GoToWebinar client.
This webinar is being recorded. You will receive a link to the recording in a few days.
A copy of this presentation is posted on Slideshare:http://www.slideshare.net/eginnovations/
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Today’s Presenters
Srinivas RamanathanCEOeG [email protected]
Frank J. OhlhorstEnterprise IT Analyst & [email protected]
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Agenda
• Application performance monitoring today
• Why APM is easier said than done?
• Six best practices for troubleshooting and avoiding “my application is slow” problems
• Q&A
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Performance Monitoring in the Past Focus on Resources
MemoryCPU Disk Network
Adequate for simple, client-server applicationsX Not sufficient for complex, modern applications
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Slow-Time vs. Down-Time
Down-time : $21,000 Slow-time : $4,100
Average revenue loss due to 1 hour of:
However, slowness occurs 10 times more often than downtime.A 1 sec delay in response time decreases customer satisfaction by 16%, reduces conversions by 7%.
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Focus of Performance Monitoring Today Great User Experience
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Great Application Performance is
Easier Said Than Done!
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Database
User
Multi-Tier Applications are Hard to Manage
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Database
User
Multi-Tier Applications are Hard to Manage
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Database
User
Multi-Tier Applications are Hard to Manage
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Database
User
Multi-Tier Applications are Hard to Manage
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Database
User
Multi-Tier Applications are Hard to Manage
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Database
User
Multi-Tier Applications are Hard to Manage
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Virtualization Introduces New Challenges
Virtual infrastructures are hard to manage. Traditional monitoring tools are not designed to handle these dynamic environments.
Streaming Media AppSlow Database Queries
Excessive disk reads by the media server
slow down Oracle database accesses
Disk reads
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Virtualization Introduces New Challenges• A failure or a slowdown in a virtual infrastructure is far
more severe than in a physical infrastructure
Physical Virtual
• Configuration of VMs can make a big impact on performance; changes to configuration are hard to track
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Infrastructure & Application Evolution Poses Challenges
Public cloudPrivate cloud
Virtualized
Browsers Locations Frameworks
Devices ProgrammingLanguages Platforms
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Is it due to the client device/ application? Is it the server application code? Is it in the database queries? Is it due to the application platform/
framework? Is it due to the virtual/cloud platform? Is there a slowness in the local or regional
network? Could it be due to storage?
When an Application is Slow …
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How to Achieve Application
Performance Monitoring Success?
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Application Performance Monitoring Framework
Defines APM as a 5 Dimensional Model
End User Experience Monitoring
Business Transaction
Tracing
Application Component Deep-Dive
Application Topology
Discovery/Visualization
IT Analytics
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Application Performance Monitoring Framework
End User Experience Monitoring
Business Transaction
Tracing
Application Component Deep-Dive
Application Topology
Discovery/Visualization
IT Analytics
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User Experience Monitoring
Emulates users
Imposes the same workload again and again
Provides a measure of experience EVEN when there is no real load
Synthetic MonitoringSynthetic Monitoring
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User Experience Monitoring
Record a script to simulate a user session
Open the same application that a user access (e.g.,
browser, Citrix receiver)
Indicate what actions to perform
Specify what to match in the
response
Name the transaction step
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User Experience Monitoring
Results of synthetic monitoring shown in the monitoring tool
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User Experience Monitoring
Emulates users Imposes the same workload again
and again Provides a measure of experience
EVEN when there is no real load
Synthetic Monitoring
Monitors real users Actual workloads Direct measure of what users
are seeing
Real User MonitoringSynthetic Monitoring
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Real User Monitoring Approaches
Agentless RUM
Use Javascript support in web browsers to monitor web access in an agentless manner
Agentless – no software installed on the client
Works for any browser – desktop or mobile
Easy to setup - No need for network taps
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Monitoring the Real User Experience
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User Experience - Best Practice
Use a combination of synthetic and real user monitoring approaches to gain a complete view of the user experience.
Synthetic Monitoring Real User MonitoringSynthetic Monitoring
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User Experience - Best Practice Consider this scenario:
• Users access web site, place orders
• Order processing happens in the background as an asynchronous process.
• What happens when order processing fails?
• User Experience Monitoring still indicates that all is OK, despite the failure of orders.
Monitoring the user experience is not sufficient. Track your critical business processes as well.
INVENTORY HANDLING
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Application Performance Monitoring Framework
End User Experience Monitoring
Business Transaction
Tracing
Application Component Deep-Dive
Application Topology
Discovery/Visualization
IT Analytics
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Business Transaction Tracing
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Business Transaction Tracing
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ClassFileTransformer
Business Transaction Tracing
Application is not modified
Introduces some overhead
Tag and follow transactions
Ideal when problems are in the application code
Using byte-code instrumentation
JVM
ClassLoader
Class A
Class B
Class C
Agent
1. Premain
2. addTransformer
5. redefineClass
4. transform
3. WhenLoading…
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Transaction Tracing - Best Practice• Transaction tracing is very important for identifying coding
issues and poor database queries.
• May not provide true end-to-end visibility for off-the-shelf applications like SAP, PeopleSoft, etc.
• 3% - number of respondents to Gartner’s APM Survey who ranked this as #1 priority for APM.
Use transaction tracing as one part (not the only part) of your end-to-end application performance monitoring strategy.
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Application Performance Monitoring Framework
End User Experience Monitoring
Business Transaction
Tracing
Application Component Deep-Dive
Application Topology
Discovery/Visualization
IT Analytics
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Application Monitoring = Transaction Tracing
Suppose there is an infrastructure issue – say a database-wide slowdown.
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Application Monitoring = Transaction Tracing
Transaction tracing will NOT point to the root-cause of an infrastructure problem.
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ServerInfrastructure
Health
Application Processes
TCP
Network
Operating System
ApplicationInfrastructure Health
Server/Container
JVM
Application Monitoring = Transaction Tracing
BusinessTransaction Health
App hosted onContainer
CUSTOM
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Component Deep Dive
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Monitoring Every Layer, Every Tier from One Console
Can you access the application server?
Can you ping the server?
Can you access the TCP port of the server?
Is the application’s Windows service
running?Is the application process
running normally?
Is the server’s OS working properly?
Are applications published on the server
working well?
How is the user experience?
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Component Deep Dive – Best Practice
Have the right mix of reach and depth when it comes to monitoring capabilities.
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Application Performance Monitoring Framework
End User Experience Monitoring
Business Transaction
Tracing
Application Component Deep-Dive
Application Topology
Discovery/Visualization
IT Analytics
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Application Topology DiscoveryInter-dependencies abound in today’s application infrastructures:– Application to application
(Java to SQL)– Application to VM/cloud
instance– VM to physical machine/
cloud service– Application to external service– Application to infrastructure services (DNS)
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Using Dependencies for Root-Cause Diagnosis
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Using Dependencies for Root-Cause Diagnosis
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Using Dependencies for Root-Cause Diagnosis
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Using Dependencies for Root-Cause Diagnosis
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Using Dependencies for Root-Cause Diagnosis
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Topology Discovery – Best Practice
Don’t just discover – use application dependencies for root-cause diagnosis.
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Application Performance Monitoring Framework
End User Experience Monitoring
Business Transaction
Tracing
Application Component Deep-Dive
Application Topology
Discovery/Visualization
IT Analytics
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IT Analytics
• Auto-baselining• Automatic correlation• Prediction• Capacity analysis• Historical reporting• Bottleneck detection• Optimization recommendations
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Auto-Baselining for Proactive Alerting
Automatic, time varying baselines make monitoring
PROACTIVE
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Make Optimization Decisions Based on Empirical Data
A few of the servers are handling most of
the sessions
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Invest Wisely with Capacity Analytics
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IT Analytics – Best Practice
IT Analytics is 2nd in importance to user experience!
Look for monitoring tools that reduce your burden by automating analysis and providing you actionable insights.
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Adopt a combination of synthetic and real user monitoring to track user experience
Monitoring key business processes is as important as monitoring user experience
Transaction tracing should be an important, but not the only part of your application performance monitoring strategy
Reach and depth of monitoring are both important as you look at unified monitoring capabilities
Don’t just discover application inter-dependencies, use them for accurate root-cause diagnosis
Analytics capabilities are important to make monitoring agile and automated
Best Practices Summary
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Ensure great user experience Detect problems before users notice –
be proactive Resolve problems quickly, keep MTTR
low Handle problems with fewer people,
less expertise Plan/invest wisely for growth
Benefits of Application Performance Monitoring Success
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Next Steps
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