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They create UML diagrams for component interactions, sequence diagrams for key user flows, and a data model that normalizes entities like products, suppliers, customers, and orders. Security considerations are embedded early: data encryption at rest and in transit, OAuth 2.0 for authentication, and role-based access control for different user types. The design is reviewed in a technical drill-down meeting where developers raise potential risks, such as API rate limits from a third-party shipping service or latency issues when processing high-volume transactions. Following the design, the development phase is executed in Agile sprints of two weeks each. Each sprint begins with a planning session where user stories from the product backlog are estimated using story points. Developers adhere to coding standards enforced by ESLint and Prettier, and they write unit tests for every function using Jest. For example, the inventory calculation function is tested with edge cases like negative quantities and simultaneous updates from multiple terminals. Code reviews are mandatory; every pull request requires at least two approvals before merging into the main branch. Continuous integration pipelines automatically run the test suite and deploy to a staging environment that mirrors production. The staging environment is critical for integration testing—teams simulate normal and peak loads using tools like Apache JMeter. They monitor database performance with EXPLAIN plans to optimize slow queries, often adding indexes on frequently filtered columns like product category or date. If the system must handle thousands of concurrent users, load balancers and auto-scaling groups are configured to distribute traffic evenly. The next major phase is user acceptance testing (UAT), where a subset of end users interacts with the system in a controlled setting. 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The actual deployment is executed during a scheduled maintenance window to minimize disruption. Database migrations are run first, followed by the backend services, then the frontend build is pushed to a CDN. The team monitors dashboards for error rates and response times for the first 48 hours. Rollback procedures are pre-scripted in case of unforeseen issues. Post-deployment, the team enters a support and maintenance phase. User feedback is collected via in-app surveys and support tickets. The product roadmap is updated with feature requests—for example, adding a dark mode theme or integrating a new payment gateway. Bug fixes are prioritized based on impact; a hotfix for a data corruption issue would be released within hours, while a cosmetic glitch might wait for the next sprint. 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