From "Overnight" to "Real-time": A Two-Year NoSQL Case Study

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Meteor Solutions integrates site and advertising analytics to provide major publishers and advertisers the ability to identify and reach their influential visitors with advertising, exclusive content and rewards. Eighteen months ago, Meteor was backed by a relational DB and struggling to keep up with volumes in a batch processing environment that was ill-suited to our graph oriented data model. Today, the service is backed by Cloudant, a distributed document store based on CouchDB, and provides deeper analytics in real-time. This transition enabled 10x growth and allowed us to open our technology to a much broader range of applications -- though not without some bumps along the way. This talk will cover: Overview of our services and specific technical challenges Overview of Cloudant/CouchDB, how we leverage it, and its relation to other SQL, NoSQL, and web technologies in our stack Benefits we've seen and tradeoffs we have had to make Operational lessons learned Future plans: how NoSQL's possibilities and limitations influence business, product and operational decisions

Technology Business

2 years of nosql
benjamin anderson
@banjiewen
meteor solutions, inc.

about meteor

our data

2009
pretty simple

why this was bad

enter couchdb/cloudant
(and some redis)

nosql in production

what we’ve learned

solved initial problems

introduced new ones

problems
no documentation

problems
no documentation

problems
you probably don’t need data model ﬂexibility

problems
ad-hoc data analysis is challenging

problems
predictability

problems
library support

problems
not unsolvable!

overall, good stuff

good stuff
rapid iteration

good stuff
fanatical customer support

good stuff
good people want to work on it

good stuff
horizontal scalability is no joke

good stuff
solves real problems

we’ve learned a lot

what we’ve learned
pay for the support

what we’ve learned
expect tradeoffs

what we’ve learned
you probably don’t need it

thanks
benjamin anderson
@banjiewen
meteor solutions, inc.

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Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

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From "Overnight" to "Real-time": A Two-Year NoSQL Case Study

1. 2 years of nosql benjamin anderson @banjiewen meteor solutions, inc.

2. about meteor

4. 2009 pretty simple

5. why this was bad

6. enter couchdb/cloudant (and some redis)

7. nosql in production

8. what we’ve learned

9. solved initial problems

10. introduced new ones

11. problems no documentation

12. problems no documentation

13. problems you probably don’t need data model ﬂexibility

14. problems ad-hoc data analysis is challenging

15. problems predictability

16. problems library support

17. problems not unsolvable!

18. overall, good stuff

19. good stuff rapid iteration

20. good stuff fanatical customer support

21. good stuff good people want to work on it

22. good stuff horizontal scalability is no joke

23. good stuff solves real problems

24. we’ve learned a lot

25. what we’ve learned pay for the support

26. what we’ve learned expect tradeoffs

27. what we’ve learned you probably don’t need it

28. thanks benjamin anderson @banjiewen meteor solutions, inc.