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Lightblue: Re-thinking the old way
Lessons of How to turn internal Fog into a simple Cloud
DISCLAMER
● The views expressed in the following slides are solely those of
the author, which aims just to share knowledge and help the
community
● Putting this in another way, the contents of this presentation do
not necessarily represent the views or policies of anyone else
than the author
Introduction
● Luan Cestari
● Software Engineer
● @BR_LuanCestari and http://www.slideshare.net/LuanCestari
● You can interrupt me to ask me, I'm here to help =)
Agenda
● Quick story: from small first application in a company to a big
interconnected services
● Some problems that may occur
● The Lightblue project that aims to fix those problems
● Some details of the techonologies behind Lightblue
● Bonus: Some interressting collections libraries
The Beginning
The Application Delivery
The Company and the systems grow
A Simple Change Involves a Lot of Systems
The Result of Change
What are the patterns that you may find?
● Very hard to maintain services
● Services which too much specific and compled
● Slowness
● Hard coded
● Static content
● Hard to garantee the security end to end
● Hard to deploy in different enviroment
What some people thought
● To re-write the services creating an open source solution
– Using cutting edge tecnologies, good practices and techniques
– Make it simple to use and maintain
– Make it fast but it also needs to have monitoring
– Need to be flexible for changes
– Make use a good techonologies which can provide some of the Cloud
characteristics (Measured service,Rapid elasticity,Resource
pooling,Broad network access,On-demand self-service)
– Need to be very secure
This is Ligthblue
Lightblue
● It aims to be capable to provide high availability, resiliency,
consistency, and performance integrating with others SOA
Services
● To provide a high level of flexibility, it is metadata driven project
● You can easily extend and change its behavior
● You can use it for your own business
Lightblue: Overview
Lightblue: Simple Deployment
Lightblue: Deployed on the Cloud
Features: Hystrix
https://github.com/Netflix/Hystrix
Features: Hystrix
● Hystrix: Latency and Fault Tolerance for Distributed Systems
– Can be used with Servo for monitoring (Graphite and CloudWatch)
● https://github.com/Netflix/servo
● Is there overhead?
– https://github.com/Netflix/Hystrix/wiki/FAQ#what-is-the-processing-overhea
Features: Hystrix
https://github.com/Netflix/Hystrix/wiki/Dashboard
Features: MongoDB
● https://en.wikipedia.org/wiki/MongoDB#Main_features
● http://docs.mongodb.org/manual/core/replication-introduction/
Lightblue: more information
● https://github.com/lightblue-platform/lightblue
● https://github.com/lightblue-platform/lightblue/wiki
● https://github.com/lightblue-platform/lightblue-quickstarts
Bonus: Beyond JDK Collections
● https://github.com/goldmansachs/gs-collections
● http://trove4j.sourceforge.net/index.html
● http://high-scale-lib.sourceforge.net/
● http://javolution.org/
● https://code.google.com/p/guava-libraries/
● http://www.goldmansachs.com/gs-collections/presentations/GSC_Memory_Te
● https://commons.apache.org/
● colt
Bonus: Beyond Others
● https://github.com/OpenHFT/OpenHFT
● https://github.com/peter-lawrey/Java-Chronicle
● https://lmax-exchange.github.io/disruptor/
● https://sites.google.com/site/piotrwendykier/software/parallelcolt
● https://code.google.com/p/thrift-protobuf-compare/wiki/Benchmarking
● https://github.com/Netflix/RxJava/wiki
● https://bitbucket.org/robeden/trove/
Conclusion
● There are a lot of other tecnologies other than Java EE which
are very good to use
● Migrating to Lightblue can help you with some hard to maintain
services
Thank you!
● Thank you for watching and sharing your ideas
● @BR_LuanCestari and http://www.slideshare.net/LuanCestari
Any questions?

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Lightblue project

  • 1. Lightblue: Re-thinking the old way Lessons of How to turn internal Fog into a simple Cloud
  • 2. DISCLAMER ● The views expressed in the following slides are solely those of the author, which aims just to share knowledge and help the community ● Putting this in another way, the contents of this presentation do not necessarily represent the views or policies of anyone else than the author
  • 3. Introduction ● Luan Cestari ● Software Engineer ● @BR_LuanCestari and http://www.slideshare.net/LuanCestari ● You can interrupt me to ask me, I'm here to help =)
  • 4. Agenda ● Quick story: from small first application in a company to a big interconnected services ● Some problems that may occur ● The Lightblue project that aims to fix those problems ● Some details of the techonologies behind Lightblue ● Bonus: Some interressting collections libraries
  • 7. The Company and the systems grow
  • 8. A Simple Change Involves a Lot of Systems
  • 9. The Result of Change
  • 10. What are the patterns that you may find? ● Very hard to maintain services ● Services which too much specific and compled ● Slowness ● Hard coded ● Static content ● Hard to garantee the security end to end ● Hard to deploy in different enviroment
  • 11. What some people thought ● To re-write the services creating an open source solution – Using cutting edge tecnologies, good practices and techniques – Make it simple to use and maintain – Make it fast but it also needs to have monitoring – Need to be flexible for changes – Make use a good techonologies which can provide some of the Cloud characteristics (Measured service,Rapid elasticity,Resource pooling,Broad network access,On-demand self-service) – Need to be very secure
  • 13. Lightblue ● It aims to be capable to provide high availability, resiliency, consistency, and performance integrating with others SOA Services ● To provide a high level of flexibility, it is metadata driven project ● You can easily extend and change its behavior ● You can use it for your own business
  • 18. Features: Hystrix ● Hystrix: Latency and Fault Tolerance for Distributed Systems – Can be used with Servo for monitoring (Graphite and CloudWatch) ● https://github.com/Netflix/servo ● Is there overhead? – https://github.com/Netflix/Hystrix/wiki/FAQ#what-is-the-processing-overhea
  • 20. Features: MongoDB ● https://en.wikipedia.org/wiki/MongoDB#Main_features ● http://docs.mongodb.org/manual/core/replication-introduction/
  • 21. Lightblue: more information ● https://github.com/lightblue-platform/lightblue ● https://github.com/lightblue-platform/lightblue/wiki ● https://github.com/lightblue-platform/lightblue-quickstarts
  • 22. Bonus: Beyond JDK Collections ● https://github.com/goldmansachs/gs-collections ● http://trove4j.sourceforge.net/index.html ● http://high-scale-lib.sourceforge.net/ ● http://javolution.org/ ● https://code.google.com/p/guava-libraries/ ● http://www.goldmansachs.com/gs-collections/presentations/GSC_Memory_Te ● https://commons.apache.org/ ● colt
  • 23. Bonus: Beyond Others ● https://github.com/OpenHFT/OpenHFT ● https://github.com/peter-lawrey/Java-Chronicle ● https://lmax-exchange.github.io/disruptor/ ● https://sites.google.com/site/piotrwendykier/software/parallelcolt ● https://code.google.com/p/thrift-protobuf-compare/wiki/Benchmarking ● https://github.com/Netflix/RxJava/wiki ● https://bitbucket.org/robeden/trove/
  • 24. Conclusion ● There are a lot of other tecnologies other than Java EE which are very good to use ● Migrating to Lightblue can help you with some hard to maintain services
  • 25. Thank you! ● Thank you for watching and sharing your ideas ● @BR_LuanCestari and http://www.slideshare.net/LuanCestari Any questions?