Turning Uncertainty into Success: How a Modern Approach can Thrive in a Conservative Environment

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" summary

Built a side-by-side data-hub that ingests 96 readings per meter per day from an expected 4–4.5 million digital meters, using Azure Durable Functions, Cosmos DB and SQL Server, deployed with Terraform and monitored by Azure Load Testing, SonarCloud and testcontainers. Performance tuning shifts message generation to improve public egress from ~200 to 500+ items/sec while accepting a 60% hit in an internal component; fitness checks via fitness-function-driven development gate releases and teams use trunk-based development. System goes live a year ago and handles doubled load with no major interventions.

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" chapters (25)

1. 0:00Introduction to uncertainty
2. 1:10Presenters and client context
3. 2:38Business challenge overview
4. 5:57System failures and outdated tech
5. 10:10Business problem solution
6. 10:53Waterfall vs agile approach
7. 14:26Introducing agile to conservative team
8. 17:44Technology shift to cloud
9. 18:27Nonfunctional requirements
10. 19:51High-level system architecture
11. 21:38Technical infrastructure details
12. 23:45Evolutionary architecture principles
13. 26:18Performance fitness functions
14. 28:09Implementation deep dive
15. 29:13Version control and CI/CD
16. 30:16Testing strategies
17. 31:20Integration testing with containers
18. 32:24End-to-end testing approach
19. 33:27Cloud-native infrastructure
20. 34:09User interface evolution
21. 35:18Data format optimization
22. 36:25Modern approach limitations
23. 37:53Batch processing compromise
24. 38:15Project outcome and success
25. 39:41From uncertainty to success

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