E- Commerce Microservices 100 Production- Grade Labs
Published 9/2026
Created by Dar Al Taqniya
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 112 Lectures ( 24h 26m ) | Size: 1.2 GB
From Vibe Coding to production-grade e-commerce: architect secure microservices, payments, Kafka, Kubernetes, and global
What you'll learn
Build a production-oriented local e-commerce engineering environment using Docker, PostgreSQL, Redis, Nginx, Git, and automated health checks. Architect robust FastAPI microservices with normalized commerce data models, strict Pydantic validation, Alembic migrations, testing, pagination, search, and Op Master modern authentication and Zero-Trust security patterns including OAuth2/OIDC, JWT, RBAC/ABAC, Argon2, TLS, rate limiting, CORS, secrets management, and a Design and operate event-driven commerce architectures using Apache Kafka, schema-based events, consumer groups, partitioning, dead-letter queues, Kafka Connect Engineer high-concurrency shopping carts and inventory systems using Redis, reservations, distributed locking concepts, optimistic concurrency, flash-sale strat Implement production-grade cross-border payment workflows including Stripe integration, signed webhooks, idempotency, multi-currency processing, immutable doubl Orchestrate logistics and supply-chain workflows involving carrier APIs, fulfillment routing, shipment tracking, customs data, returns, webhooks, and simulated Scale and optimize distributed commerce platforms using Redis Cluster, CDN strategies, database indexing, read replicas, Kubernetes autoscaling, load testing, p Operate and govern production systems with Prometheus, Grafana, Fluent Bit, OpenTelemetry, Alertmanager, audit logging, GDPR controls, DORA resilience practices Architect, deploy, test, secure, and operate the complete Global Enterprise E-Commerce Capstone with Kubernetes, Helm, ArgoCD, Kafka, PostgreSQL, Redis, observaRequirements
Requirements & Prerequisites Required 1. A modern 64-bit computer 2. At least 50-100 GB of free SSD storage 3. Basic familiarity with using a computer and installing software 4. Stable internet connection for downloading container images, dependencies, and external API tooling 5. 16 GB RAM recommended; 8 GB may work for early labs but will be restrictive for Kubernetes, Kafka, observability, and the capstone Software Used Throughout the Course 1. Git 2. Docker Engine and Docker Compose 3. Python 3.12+ 4. FastAPI 5. PostgreSQL 6. Apache Kafka 7. Kubernetes 8. Terraform 9. Grafana 10. OpenTelemetryDescription
This course contains the use of artificial intelligence.
I only charge a fee solely for the time invested in building this comprehensive curriculum.
Stop Vibe Coding. Start Engineering Systems.
Modern AI tools can generate an API in minutes.
They can generate a shopping cart.
They can generate a payment endpoint.
They can even generate a Kubernetes manifest.
Butproduction-grade engineering is not about generating code.
The difficult questions begin after the demo works
What happens when 50,000 customers attempt to buy the same product?
What happens when a payment webhook arrives twice?
What happens when Kafka delivers an event later than expected?
What happens when inventory is updated concurrently?
What happens when a payment provider goes offline?
What happens when a database becomes a bottleneck?
What happens when a Kubernetes node disappears during a flash sale?
What happens when a customer requests deletion of personal data?
What happens when regulators ask you to prove what happened to a financial transaction?
This is the gap between Vibe Coding and Engineering.
This course is designed to close that gap.
Build Your Way Through 100 Production-Grade Labs
Instead of watching dozens of disconnected lectures, you'll follow a progressive100-lab engineering journey.
You begin with the fundamentals
Docker. Git. PostgreSQL. Redis. Nginx. Configuration. Health checks. Logging.
Then the architecture becomes progressively more sophisticated.
You'll build APIs with FastAPI, enforce strict schemas, implement migrations, write automated tests, design search systems, and expose professional OpenAPI specifications.
Then security becomes a first-class engineering concern.
You'll implement OAuth2/OIDC, JWT authentication, RBAC/ABAC authorization, Argon2 password hashing, TLS, rate limiting, CORS policies, secrets management, and automated security scanning.
But the real architectural shift begins when your application becomesevent-driven.
Kafka Changes the Way You Think About Commerce
You'll introduce Apache Kafka and learn how modern distributed commerce systems communicate asynchronously.
You'll design event schemas.
Publish order events.
Consume inventory events.
Create dead-letter queues.
Scale workers with consumer groups.
Control event ordering.
Use partition keys.
Monitor consumer lag.
And test asynchronous workflows using containers.
You're no longer building a simple web application.
You're engineering adistributed system.
Engineer Commerce Under Concurrency
A shopping cart looks simple until thousands of customers want the same product simultaneously.
You'll work through
Distributed cart sessions Redis structures Inventory race conditions Stock reservations Locking strategies Expired cart cleanup Optimistic concurrency Real-time inventory Flash-sale buffering Network partition simulationsThese labs force you to confront the problems that don't appear in basic tutorials.
Enter Cross-Border FinTech
Then the platform becomes financial.
You'll integrate payment workflows, asynchronous webhooks, multi-currency processing, immutable double-entry ledgers, refunds, chargebacks, reversals, idempotency, alternative payment methods, tax calculations, automated settlement reconciliation, and PCI-DSS boundaries.
The goal isn't simply
"Make Stripe charge a card."
The goal is to understand how to designfinancially trustworthy distributed workflows.
A duplicated webhook should not duplicate a payment.
A failed request should not corrupt a ledger.
A reversal should remain auditable.
A financial system must be designed around these realities.
Connect Commerce to the Physical World
Digital commerce doesn't end at checkout.
You'll integrate shipping and logistics workflows involving
Carrier APIs Real-time freight rates Shipment tracking Barcode generation Warehouse routing Returns and RMA workflows Supply-chain milestone events Packaging optimization Customs documentation Dispatch webhooks Logistics failure scenariosYour platform evolves from an API collection into a completedigital trade ecosystem.
Then Make It Fast
Once the system works, you'll make it survive scale.
You'll engineer distributed caching, CDN strategies, database indexes, read replicas, Kubernetes autoscaling, load tests, performance profiling, optimized payloads, circuit breakers, connection pooling, and keep-alive strategies.
You'll learn an essential production principle
Performance is engineered. It isn't hoped for.
Observe Everything
A production system that cannot be observed cannot be reliably operated.
You'll build a complete observability layer with
Prometheus Grafana Fluent Bit OpenTelemetry Alertmanager Distributed tracing Operational dashboards Financial audit logs Compliance controlsYou'll also work with GDPR data minimization and deletion concepts, DORA resilience Requirements, infrastructure provisioning with Terraform, and automated CI pipelines.
The Final Level: Lab 100
And then everything comes together.
Lab 100 - Global Enterprise E-Commerce Capstone
This isn't another small tutorial project.
You will bring together the architecture you've developed throughout the previous 99 labs into aproduction-grade, globally distributed e-commerce and digital-trade platform.
Your final architecture combines
Kubernetes + Helm + ArgoCD + Terraform
with
FastAPI + PostgreSQL + Redis + Apache Kafka
and
OAuth2/OIDC + JWT + Nginx Ingress + Cert-Manager
plus
Prometheus + Grafana + Fluent Bit + OpenTelemetry
and automated testing, vulnerability scanning, disaster recovery, and chaos engineering.
Your capstone must demonstrate real end-to-end behavior
Browse → Cart → Inventory → Checkout → Payment → Ledger → Order → Fulfillment → Shipment → Tracking
while maintaining security, observability, resilience, data integrity, and operational readiness.
This is the point where the course stops being a collection of technologies.
It becomes anengineering system.
The final challenge pushes you toward the level of thinking expected from senior engineers, platform architects, and advanced distributed-systems practitioners-thePhD-capstone mindset of designing systems that remain trustworthy when everything around them becomes complicated.
Why Enroll Now?
The industry doesn't need more developers who can make a demo work.
It needs engineers who understandwhat happens when the demo becomes a business.
If you want to move from writing isolated applications to architecting secure, scalable, observable, event-driven commerce infrastructure, this 100-lab journey gives you a practical path.
You won't simply memorize Kubernetes commands.
You won't simply copy microservice templates.
You won't simply connect a payment API.
You'll progressively engineer the system, introduce failure, test assumptions, measure behavior, strengthen security, and operate the architecture.
Start with Lab 1.
Build toward Lab 100.
And finish with a system you can explain-not just a repository you can run.
Who this course is for
1. The Aspiring Backend / Platform Engineer You can build APIs, but you want to move beyond CRUD applications and learn how serious commerce systems actually behave under concurrency, failure, security Requirements, and operational pressure. 2. The Software Engineer Moving Beyond "Vibe Coding" You can make an application work, but you want to understand the difference between working software and production engineering. 3. The Senior Developer / Architect Seeking Sovereign Infrastructure Skills You'll build toward a complete enterprise commerce platform with Kubernetes, Helm, ArgoCD, Kafka, Terraform, Zero-Trust networking, disaster recovery, chaos engineering, financial ledgers, compliance controls, and end-to-end observability.Homepage
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