Jevgeni Kabanov in GeekOut: Redefining redeploys
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This document discusses issues with updating Java applications in production and proposes solutions. It finds that 27% of organizations forbid downtime during updates, 19% lose on average $3,230 per minute on each update. Only 27% are satisfied with their current update process, which commonly faces issues with tools, downtime, reliability and off-hours updates. The document proposes techniques like in-app updates, multi-process JVMs and automated rolling restarts to help solve the majority of issues by preventing downtime during updates.
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Jevgeni Kabanov in GeekOut: Redefining redeploys
- 1. Do you really get changes? Jevgeni KabanovFounder & CTO of ZeroTurnaround
- 3. (how awesome is that?) Over30 million builds, redeploys & restarts prevented for 15,000+ Java developers twitter.com/ekabanov
- 4. DevOps
- 5. ClassLoaders
- 9. What are the problems?
- 10. How can we fix them?
- 12. Production Update Survey, May 2011
- 13. 27% forbid downtime during production
- 14. 19% lose ~$3,230 per minute on every update
- 19. Issues: tooling, downtime, reliability, off-hours
- 20. App Servers do ONLY redeployment,BUT
- 21. Container Redeployment is a HACK!
- 22. 24% allow redeployment, 12% rely on it
- 23. 79% reportissues with redeployment
- 24. Time for a SIMULATION
- 25. Reloading an Object OldClassLoader NewClassLoader MyObject.class MyObject.class Recreate the object MyObject MyObject
- 26. Leaking ClassLoaders ClassLoader Class1.class Class2.class Class3.class Static Fields Static Fields Static Fields
- 27. Leaking ClassLoaders WebApp.class WebApp.class WebApp.class WebAppFactory$1 WebAppFactory$1 WebAppFactory$1 Leak.class Leak.class Leak.class Leak Leak Leak
- 28. Time for a DEMO
- 29. BUT Wait!
- 31. Rolling Restarts
- 33. Session draining
- 34. Session reset
- 36. Time for a DEMO
- 39. Time for a DEMO
- 42. Future: in-app updates, multi-process JVMs, ???
- 43. Conclusions Container redeploys are unreliable Most popular update method is restart in off-hours Biggest issues are lack of automation and downtime during updates Another issue is lack of standard language for lightweight processes In-App Updates and automated rolling restarts will solve majority of issues
- 44. Q&A
Editor's Notes
- Hi guys! My name is Jevgeni Kabanov and I’m here to present the “Do you really get changes?” talk.
- Here’s my life in a tag cloud. I’m the original creator of JRebel and now the CTO of ZeroTurnaround, I used to write Haskell and still am a bit snooty about other languages, but I’ve been digging deep in Java for the past 7 years. I’m one article away from my PhD and have a wife, two cats and a really fast bike :)Before we go any further I’d like to ask you if you heard about JRebel?
- Bringing developers and administrators together. Automation, lightweight process, fast reaction to errors v/s preventing errors at all costs
- ClassLoader abuse
- The majority of process restrictions stem from the technical issues.
- Lower than expected, but is it because they don’t care or because it’s so hard to do without downtime?
- This was calculated from those who allow downtime v/s those who actually are subject to it. The price is the average one, average length of an update is 1.6 hours. Could be more than $300,000 per update for some unlucky folks.
- Only 16% fully automated! 54% majority has a manual step, 30% manual to a (varyingly) large extent. 7% have an “It’s the last copy of a list of arcane steps printed out three years ago. (May or may not involve sacrificing a goat)”
- Lack of automation revealed nicely by the most popular tool, Maven & Ant mentioned often too. No real tooling available for automation!
- Under 12% do fully transparent updates with no downtimes, 46% take the app offline (off-hours are a common complain), 42% risk side-effects with hacks causing complaints about reliability and downtime. Only 12% use container redeployment, why is that?
- Very low.
- We’ll examine all of them down the line.
- 33% report onlyOutOfMemoryErrors, 46% multiple additional issues including PermGen or OutOfMemoryErrors, lack of support for database updates, thread races and deadlocks, thread and resource leaks, security concerns, native library issues, a multitude of application server caching issues, performance overhead, rollback difficulties and lack of reliability.
- 33% report onlyOutOfMemory issues, 46% multiple additional issues including lack of support for database updates, thread races and deadlocks, thread and resource leaks, security concerns, native library issues, a multitude of application server caching issues, performance overhead, rollback difficulties and lack of reliability.
- 33% report onlyOutOfMemory issues, 46% multiple additional issues including lack of support for database updates, thread races and deadlocks, thread and resource leaks, security concerns, native library issues, a multitude of application server caching issues, performance overhead, rollback difficulties and lack of reliability.
- Tomcat 7, Weblogic 9.x+
- The absolute majority of current ready-made tools support only two update methods: container redeployment and restarts with downtime
- Session clustering is subject to state structure changes and heisenbugs
- If the app is actively used it may take forever. Hard to automate due to lack of APIs and ready-made tooling. Needs manual control.
- 33% report onlyOutOfMemory issues, 46% multiple additional issues including lack of support for database updates, thread races and deadlocks, thread and resource leaks, security concerns, native library issues, a multitude of application server caching issues, performance overhead, rollback difficulties and lack of reliability.
- Rolling
- 33% report onlyOutOfMemory issues, 46% multiple additional issues including lack of support for database updates, thread races and deadlocks, thread and resource leaks, security concerns, native library issues, a multitude of application server caching issues, performance overhead, rollback difficulties and lack of reliability.
- LiveRebel does in-app hot updates, with no downtime, no lost sessions, no OOME, no side effect. It’s fully automated and instant.
- 33% report onlyOutOfMemory issues, 46% multiple additional issues including lack of support for database updates, thread races and deadlocks, thread and resource leaks, security concerns, native library issues, a multitude of application server caching issues, performance overhead, rollback difficulties and lack of reliability.
- 33% report onlyOutOfMemory issues, 46% multiple additional issues including lack of support for database updates, thread races and deadlocks, thread and resource leaks, security concerns, native library issues, a multitude of application server caching issues, performance overhead, rollback difficulties and lack of reliability.
- Rolling restarts are hard because changes are hard in general!
- Look at .NET, Dynamic languages, etc