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Enterprise-Grade Learning Platform

AlphaMesh

Enterprise-grade distributed microservices platform handling millions of users with zero downtime. Master modern backend systems, DevOps, cloud-native architecture, and AI/ML integration.

99.9% Uptime • Zero Downtime Architecture
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Microservices
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Languages
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Databases
Millions+
Users Served
Zero Downtime
High Traffic Ready
99.9% Availability
Auto-Scaling

Project Vision

Bridging theory and production-grade expertise

Distributed Systems

Build and operate resilient microservices at scale with real-world complexity handling.

Cloud-Native Architecture

Master Kubernetes, containers, and modern cloud design patterns with hands-on practice.

Polyglot Engineering

Work with 7+ programming languages simultaneously - Go, Python, Java, Node.js, PHP, Rust, and more.

Infrastructure as Code

Treat infrastructure with the same rigor as application code using Terraform, Pulumi, and Kubernetes.

Observability-First

Understand system behavior through comprehensive metrics, logs, distributed tracing, and profiling.

AI/ML Integration

Build intelligent features with LLMs, vector databases, RAG applications, and modern AI tooling.

High-Level Architecture

Strict microservices with cloud-native design principles

Architectural Principles

  • Service Autonomy - Each service owns its database
  • Stateless Services - Horizontal scalability
  • API Gateway Pattern - Single entry point
  • Database Per Service - No cross-service queries
  • Event-Driven - Decoupled async communication
Client Applications
API Gateway
alpha-gateway (Kong/NGINX)
Services
Data
Events

Technology Stack

Modern, production-grade technologies across all layers

Backend Technologies

Go Python (FastAPI) Node.js (Express, NestJS) Java (Spring Boot) PHP (Laravel, Symfony) Rust

Databases & Storage

PostgreSQL MySQL MongoDB Redis ClickHouse Elasticsearch Qdrant (Vector DB) Pinecone TimescaleDB ScyllaDB CockroachDB S3/MinIO

Infrastructure & DevOps

Kubernetes Docker Istio Helm Terraform Pulumi GitHub Actions ArgoCD Prometheus Grafana Jaeger OpenTelemetry

AI/ML Technologies

LangChain OpenAI GPT-4 Anthropic Claude Ollama TensorFlow PyTorch MLflow Ray Hugging Face FAISS

Core Microservices

27+ production-grade microservices with `alpha-` prefix

alpha-gateway

API Gateway, routing, rate limiting, auth validation

Go Kong Redis
alpha-user-management

User registration, profiles, authentication, RBAC

Node.js NestJS PostgreSQL
alpha-auth-service

JWT issuance, OAuth2/OIDC provider, token validation

Go OAuth2 Redis
alpha-organization

Organization management, tenant isolation, quotas

PHP Laravel PostgreSQL
alpha-billing

Invoice generation, payment processing, billing cycles

PHP Laravel MongoDB
alpha-usage-ingest

High-throughput usage data ingestion, preprocessing

Go gRPC Kafka
alpha-notification-api

Notification composition, delivery management

Node.js Express MongoDB
alpha-search-service

Full-text search across entities

Go Elasticsearch
alpha-analytics-query

Analytics data queries, dashboard backend

Python FastAPI ClickHouse
AI-Powered

AI & Machine Learning Integration

Intelligent features with LLMs, vector databases, and modern AI tooling

AI Support Assistant

RAG-based Q&A using documentation and knowledge base. Multi-model support with GPT-4, Claude, and local LLMs.

LangChain OpenAI Qdrant

Semantic Search

Vector embeddings for intelligent document search. Hybrid approach combining semantic and keyword search.

Pinecone FAISS Sentence Transformers

Predictive Analytics

Usage forecasting, churn prediction, revenue projections, and capacity planning with ML models.

XGBoost scikit-learn ClickHouse

Automated Code Review

AI-powered PR analysis, security scanning, best practices enforcement, and test generation.

GitHub Copilot Claude GPT-4

Document Intelligence

OCR processing, document classification, entity extraction, and multi-language support.

Tesseract NLP Elasticsearch

Intelligent Log Analysis

Anomaly detection, root cause analysis, automatic summarization, and predictive alerts.

Loki MLflow PyTorch
Edge-Native

Edge Computing & WebAssembly

Deploy services closer to users with sub-50ms response times

Why WebAssembly?

  • Near-native performance: 10-100x faster than JavaScript
  • Language-agnostic: Rust, Go, C++, AssemblyScript
  • Secure sandbox: Deterministic execution
  • Small binary size: Fast edge deployment
Wasm Services
alpha-wasm-validator alpha-wasm-transform alpha-wasm-ml-inference alpha-wasm-pdf-gen
Edge Deployment
Global Coverage 200+ Locations
Latency Reduction 60%
Response Time < 50ms
Edge Platforms
Cloudflare Workers Fastly Vercel Edge Fly.io

1-Year Roadmap

Quarterly goals and detailed deliverables for 2026

Q1: Jan-Mar

Foundation & Core Services

  • Infrastructure Setup: Kubernetes cluster (EKS/GKE/AKS), Helm charts, ArgoCD for GitOps deployment
  • CI/CD Pipeline: GitHub Actions workflows, automated testing, container image scanning, Harbor registry
  • Core Services (Go/Node.js): API Gateway (Kong), Authentication (JWT + OAuth2), User Management, Organization management
  • Databases: PostgreSQL setup with migrations, Redis for caching, MongoDB for flexible schemas
  • Observability: Prometheus metrics, Grafana dashboards, Loki logs, Jaeger distributed tracing
  • Service Mesh: Istio installation for traffic management, mTLS encryption between services
Kubernetes Go PostgreSQL Prometheus
Q2: Apr-Jun

Business Logic & Billing

  • Subscription Service: Plan management (free, pro, enterprise), trial periods, proration logic
  • Billing Engine: Stripe integration, webhook handling, payment retries, dunning management
  • Usage Tracking: Event-based collection system (Kafka), real-time metering, daily aggregation jobs
  • Invoicing: PDF generation, email delivery, payment reconciliation, accounting exports
  • Customer Portal: React dashboard for billing history, payment methods, plan upgrades, usage analytics
  • Notification Service: Email (SendGrid), SMS (Twilio), in-app notifications via WebSocket
Stripe Kafka React Node.js
Q3: Jul-Sep

Advanced Features & AI Integration

  • AI Assistant Service: RAG-based chatbot using LangChain, OpenAI GPT-4 + Claude fallback, document indexing
  • Vector Search: Qdrant vector database, semantic search, embeddings via OpenAI/local models
  • Anomaly Detection: Real-time metric analysis (Python + scikit-learn), alerting on unusual patterns
  • Forecasting Service: Usage prediction using XGBoost, capacity planning recommendations
  • Edge Deployment: Cloudflare Workers for JWT validation, edge API caching, CDN optimization
  • Performance Optimization: Database query optimization, Redis caching strategy, load testing (K6)
  • Chaos Engineering: Chaos tests implementation, game day execution, failure scenario documentation
LangChain Qdrant Python Cloudflare
Q4: Oct-Dec

Production Readiness & Scale

  • ML Pipeline: MLflow for experiment tracking, model versioning, A/B testing framework
  • Code Review Bot: Automated PR analysis using LLM, security scanning, best practice enforcement
  • Log Analyzer: AI-powered log analysis, root cause correlation, automatic incident summaries
  • WebAssembly: WasmEdge runtime, high-performance validation services, edge-side data transformation
  • Security Hardening: Penetration testing, secrets management (Vault), compliance review (GDPR/SOC2 prep)
  • Zero Downtime: Blue-green deployments, canary releases with Flagger, database migration testing
  • Production Deployment: 99.9% availability SLO, comprehensive runbooks, on-call rotation
Wasm MLflow Vault Flagger
Year-End Goals
27+ Microservices

All services deployed, monitored, and operating at scale

10k Concurrent Users

System tested and optimized for high traffic loads

Global Edge Network

90%+ traffic served from 200+ edge locations worldwide

Engineering Principles

Guiding principles for production-grade development

Clean Code

SOLID principles, DRY, comprehensive testing, self-documenting code

Observability-First

Instrument everything, proactive monitoring, blameless postmortems

Automation

Infrastructure as code, GitOps, self-service, automated testing

Security by Design

Defense in depth, least privilege, supply chain security, audit everything

Collaborative Learning

Join a community of engineers building production-grade systems together. Learn from each other, share knowledge, and grow faster.

Weekly coding sessions Code reviews & feedback Pair programming

Real-World Projects

Build actual microservices, not toy examples. Deploy to production, handle real traffic, and solve real problems.

Production deployment Millions of users scale Zero-downtime architecture

Want to Join This Practice?

Interested in building production-grade microservices platforms together? Send me an email and let's start the conversation.

hi@sakir.uk
https://gitlab.com/md.sakir/alphamesh
Send Email to Join