ITB2015 - Monitoring and Tracking Your Web Applications
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Come discover all the necessary tools and processes to monitor and track the performance of your modern web applications.
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ITB2015 - Monitoring and Tracking Your Web Applications
- 1. Application Performance Management for CFML and ColdBox Darren Pywell / Joel Watson
- 2. About Darren ● CTO at Intergral (The FusionReactor people…) ● 18 yrs CF experience (CF released 20 years ago!) ● Over 33 years in Software ● Worked in HP’s OpenView Network + System Management Software Division before Intergral ● Background in Network and System Management for banks ● Responsible for all Fusion(X) products ● Based in Stuttgart, Germany for last 25 years :-)
- 3. Overview • The need for monitoring • Gartner Application Performance Model • Core APM • Stability • When things go wrong • World Premier! • Monitoring ProfileBox and FusionReactor
- 4. The Need for APM Modern IT solutions need to be monitored and managed in a complete, end-to-end manner Detail remains important and has to be set into a well- understood overall picture of system behavior Five distinct dimensions of application performance exist, each one complementary to the others
- 5. Gartner's APM Model Five Dimensions: End-user experience monitoring Transaction profiling Runtime application architecture Component deep-dive monitoring Analytics
- 6. UEM in Action Application Server APM Solution <html> body... <script> uem tracker... </script> </html> UEM tracker Server Network Browser
- 8. Transaction Call Stack CFHTTP Total Transaction Exits Platform Component 1 Component 2 Component 3 JDBC Depth of Call Stack Coverage (60% or more)
- 10. Applications
- 11. Stability Antipatterns Integration Points Chain Reactions Slow Responses Unbound Results Capacity Bottleneck Cascading Failures load leads to leads to leads to mutual aggravation Blocked Threads Users
- 12. Stability Antipatterns ● Blocked Threads Almost all stability issues relate to Block Threads eventually. Caused by locks,synchronizers,resources waits,exhaustion ● Chain Reaction Blocked threads on one server increase load on others. This slows the them down, causing more blocked threads... ● Integration Point Exit points from the platform. Typical systems today may touch 8 or more on average. You're at the mercy of someone else... ● Cascade Failure Occurs when problems in one layer causes problems in the previous. Cracks jump from system to system. Be paranoid about integration and stay up even if they do down.
- 13. Stability Patterns Blocked Threads Users Integration Points Chain Reactions Slow Responses Unbound Results Capacity Bottleneck Cascading Failures Circuit BreakerSteady State Bulk head Timeouts
- 14. Stability Patterns ● Circuit Breaker Protects callers by not calling if Integration Point has failed. Fast-fail when the breaker is open. ● Steady-State System must run without you touching it. Anything that grows resource (DB,files) must have a something that cleans it up. Use caching to maintain performance. ● Bulkhead Partitions capacity to preserve functionality. Use pools to protect critical actions ● Timeouts Use timeouts to prevent integration points becoming blocked threads. Consider (delayed) retries.
- 15. When things go wrong • Avoid Blame!!! • Reduce Service instead of Outage • Monitor and Gather Data • Mean Time to Restore Service (MTRS) • Always generate a test for every bug you find • Tools are critical (ProfileBox) • How can you debug a production problem?
- 16. UPD Unattended Production Debugging World Premier!!!
- 17. UPD What if you could… debug when you’re not there? safely debug a production system? fix a problem without changing code? Now you can!!!
- 18. Thanks for listening... More information on: http://www.fusion-reactor.com Email: darren_pywell@intergral.com Web: www.intergral.com