Web App Development with Advanced Technologies and Architectures
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About this service
Summary
What's included
Project Scope and Blueprint
Detailed documentation outlining the scope of the project, including features, functionalities, and user journeys. Architectural diagrams showcasing the event-driven microservices structure.
Full-Stack Development
Front-end: Fully functional user interfaces developed with Vue.js, Nuxt.js, and TypeScript. Back-end: Robust server-side operations and APIs built with Node.js and Python.
Containerization Set-Up
Docker container configurations and files for each microservice. Kubernetes deployment manifests and helm charts for orchestrating container deployments.
Event-Driven Integration Report
A breakdown of event-driven components, data flow diagrams, and explanations of how user/system events trigger specific microservices.
Database Schema & Models
MongoDB database schema, indices, and data models. Redis caching strategies, keys, and configurations.
DevOps Pipeline Configuration
Continuous Integration (CI) and Continuous Deployment (CD) pipelines using Git, GitHub, and other related tools. Infrastructure as Code scripts for automated environment setup and deployments.
AI Integration Report
Detailed analysis and documentation of TensorFlow and PyTorch implementations, including models used, training data, results, and potential use cases within the web app.
NATS Communication Architecture
A documentation detailing NATS setup, configurations, and communication flow among microservices.
Version Control & Collaboration
A structured repository on GitHub, complete with branching strategies, commit logs, and collaboration guidelines.
Testing and Quality Assurance Report
Comprehensive report outlining testing strategies, test cases, results, and any identified issues. Details of unit, integration, and user acceptance testing phases.
User Manual & Documentation
A detailed user manual explaining the functionalities of the web application. Technical documentation providing insights into the architecture, codebase, and system maintenance.
Training Materials
Training modules, videos, or webinars covering the application's usage and any admin functionalities. AI and machine learning model training and refinement guidelines, if applicable.
Post-Deployment Monitoring & Support Guidelines
Tools and protocols set up for monitoring the health, performance, and security of the web app. Details on how to address potential issues, updates, or necessary patches.
Feedback Loop & Iteration Strategy
Mechanisms for collecting user feedback and procedures for iterative improvements. Recommended schedules for future evaluations, optimizations, and tech-stack updates.
Example projects
Skills and tools
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