appsphere 15 - how the container store uses appdynamics in their development lifecycle
TRANSCRIPT
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How The Container Store uses
AppDynamics in their development life cycle August Azzarello, The Container Store
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Our Presenter
August Azzarello Software Quality Engineer The Container Store
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Agenda
• The Container Store
• Challenges
• Solutions
• Best Practices
• Benefits
• Q&A
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• Leading retailer of storage and organization products • Founded in 1978 – 77 stores nationwide • FORTUNE magazine’s 100 Best Companies To Work For®
www.containerstore.com www.whatwestandfor.com
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Challenges
• APM solution used as reactive monitoring tool
• Customer impacting issues already introduced
• No insight into test environment, lack of reporting on automated testing
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Solutions
• Install AppDynamics in test environments
• Build automated functional and performance test suites
• Baseline performance and functional metrics, alert on deviations
• Build BT and alert policies in test
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Transaction Score Easily identify trends
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Application Dashboard – Flow Map Perform targeted testing by identifying which applications talk to each other
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Custom Dashboards Complete visibility into application environment
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Compare Releases Compare important metrics between deployments
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Metric Browser and Custom Reports Any metric easily becomes a custom report
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• Selenium (Ruby) for Functional Testing
• Locust.io (Python) for Performance Testing
Tools Used for Automated Testing
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BEST PRACTICES
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Best Practices
• Monitor everything – If you can’t see it, you can’t test or monitor it – Make health rules in test, promote to production – BT Maintenance
• Test continuously – Continuous tests will help build baselines, better the ability to realize deviations on
performance and functional errors – Dedicated automation environment
• Performance test early in development life cycle – The earlier performance problems are detected, the less impact they will have on the release
cycle • Empower development & QA team members
– AppDynamics can give the ability for QA members to give more in depth bug reports, forging strong team relationships and increasing efficiency
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Key Metrics to Monitor in Test • Performance Testing
– Infrastructure • CPU • Disk • Memory • Network
• Functional Testing – Application Metrics
• Errors/Exceptions • HTTP Error Codes
• Number of Calls – Calls to DB(s) – Calls to backend services – Calls to remote services
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Expedite Remediation of Performance Issues
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• Auto-discover & monitor end-to-end business transaction performance within minutes, with no overhead
• Self-learning platform dynamically computes optimal app performance
• Resolve application issues quickly for exceptional end-user experience
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Production Readiness in Pre-Production
• Test for desirable performance in pre-production using same tool
• Deep transaction traces and snapshots to find code issues
• Set-up automated notification rules for performance testing
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Reduce Cost and Risk with Automated Change Analysis • Compare performance snapshots before
and after a major code release (or individual bug fixes)
• Understand the performance impact of application, server/database changes, and with infrastructure changes
• Identify and resolve unplanned changes proactively
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Benefits
• Set performance expectations before production deployments – ~40% improvement since we started using AppDynamics in test
• Fine tune alert and BT policies prior to production deployments
• Identify testing requirements, and testing gaps
• Decrease performance test result reporting from 5 hours to 20 minutes
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Q&A
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Thank You