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IT: Full-Stack & Application Engineering

Backend Engineering Basics: Structure a Service Properly

Backend Application Engineering: leave with a layered service (routes, services, repositories) with validation and consistent errors.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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TechlyUpIT: FULL-STACK & APPLICATION ENGINEERINGBackendEngineeringBasics:Structure aService ProperlyFREE WEBINAR TOPIC · VOTE

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What this session would cover

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  1. 1Why backend application engineering matters — the common problem: Business logic, SQL and HTTP handling are mixed together, making changes risky.
  2. 2Core concepts in plain language: Request lifecycles, routing, middleware, controllers, services, repositories
  3. 3Going further: validation, serialization, configuration, dependency injection, connection pooling, background processing
  4. 4Framework walkthrough: OpenAPI Contracts, Twelve-Factor App, OAuth 2.0 / OpenID Connect
  5. 5Practical workflow, built live: A layered service (routes, services, repositories) with validation and consistent errors.
  6. 6How to measure it: Error rate, p95 latency, Contract-test pass rate, Duplicate-processing incidents
  7. 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation

Who it's for

  • • Students and freshers entering tech
  • • Working developers and engineers
  • • Tech leads and architects

You'd leave with

  • A layered service (routes, services, repositories) with validation and consistent errors.
  • A working understanding of OpenAPI Contracts and Twelve-Factor App
  • A short list of measures to track: Error rate, p95 latency, Contract-test pass rate