#production

Detailed instructions for upgrading PostgreSQL 17.6 to 18.1 for production environments with minimal downtime. Includes pg_upgrade, logical replication, rollback plan, and updated best practices for PostgreSQL 18 with Async I/O, Statistics Preservation, and new pg_upgrade --swap mode.

Duy TranDecember 23, 202515 min

A hands-on series for building a local AI stack with Gemma 4 on Apple Silicon following engineering best practices. From Ollama setup, API integration, RAG pipeline, hybrid retrieval, to observability and hardening for internal environments.

Comprehensive series on Full-Stack system design with Microservices Backend and Micro Frontend — from system separation thinking using Domain-Driven Design, API design (REST, GraphQL, gRPC), Data Architecture (Saga, CQRS, Event Sourcing), to Micro Frontend architecture (Module Federation, Shell App, Design System), BFF Pattern, API Gateway, Testing Strategies, CI/CD Pipeline, Observability full-stack and Production Readiness. Includes a practical case study of building an E-Commerce Platform and migration instructions from Monolith. Technology update 2026.

In-depth course on designing and building a Notification system capable of sending millions of emails at once. You'll learn how to design an event-driven architecture with message queues, build high-performance email pipelines, handle rate limiting, retry, and dead letter queues, ensure deliverability with SPF/DKIM/DMARC, and deploy a production-ready system. Combine theory with hands-on practice using Kafka, Redis, PostgreSQL, Amazon SES, SendGrid. Suitable for Backend Engineers, System Architects who want to solve the problem of sending large-scale emails in practice.

Comprehensive series on Cloud Native Microservices architecture — from container platforms, Kubernetes, microservices design principles (DDD, Bounded Context), communication models (REST, gRPC, Event-Driven), to Data Management (CQRS, Saga, Event Sourcing), Service Mesh, Observability, Resiliency Patterns, CI/CD GitOps and Security. Combine solid theory with practical architecture for production systems.

The HashiCorp Vault course is comprehensive from basic to advanced, helping you master Secret Management, Encryption as a Service, Dynamic Credentials and Identity-based Security. From installing and configuring Secrets Engines (KV, PKI, Transit, Database, AWS, SSH), Auth Methods (Token, Userpass, AppRole, LDAP, OIDC, Kubernetes), Policies, to advanced topics such as Integrated Storage (Raft), High Availability, Auto-unseal, Vault Agent, Vault Secrets Operator, Enterprise features (Namespaces, Sentinel, Replication, DR), monitoring and production operations. Updated to Vault 1.21.x (latest version 2026), including SPIFFE auth, MFA TOTP self-enrollment, KV v2 version attribution and enterprise security best practices.

The series builds an entire AI system for a Fashion & Print-on-Demand platform — from AI Design Generation (Stable Diffusion, ControlNet), AI Editing in natural language, Personalization System, Virtual Try-On with Computer Vision, to Print File Optimization and AI Product Generation. Each article is an independent AI module that can be deployed in production.

A hands-on series on building a complete AI Agent Platform using TypeScript — from monorepo design, LLM Router, Tool Registry, RAG Pipeline, Workflow Engine, Multi-tenant RBAC to deploying Docker production. Learn through the actual source code of xClaw — an open-source platform running in production.

The System Architecture course is comprehensive from basic to advanced, helping you master how to design large-scale systems. Includes fundamental knowledge of Scalability, Availability, Consistency, architectural patterns such as Microservices, Event-Driven, CQRS, along with infrastructure components such as Load Balancer, CDN, Caching, Message Queues, Database Scaling. The course combines theory with real-life case studies from Netflix, Uber, Twitter and other large systems. Updated according to modern architectural trends 2026.

The Keycloak course is comprehensive from basic to advanced, helping you master Identity and Access Management (IAM) from installing and configuring Realms, Users, Roles, Clients, to advanced modules such as Identity Brokering, User Federation (LDAP/AD), Authentication Flows, Authorization Services, Multi-Factor Authentication, Organizations, Workflows, Passkeys, and integrating with real applications. Updated to Keycloak 26.x (latest version 2026) running on Quarkus, including production operations, High Availability, Kubernetes Operators and enterprise security best practices.

Comprehensive Docker course from fundamentals to advanced level, helping you master container technology from the first concepts to real-world production deployment. Covers Dockerfile, Docker Compose, Networking, Storage, Security, CI/CD, Docker Swarm, Microservices and best practices for enterprise environments. Updated with Docker Engine 27+ and modern container technologies as of 2026.

Practical course on Computer Vision — from CNN, Object Detection (YOLO), Image Segmentation (SAM) to Vision Transformer and Multimodal AI. Hands-on with PyTorch, Ultralytics YOLO, Hugging Face. Deploy CV model to production with TensorRT and ONNX.

In-depth course on MLOps and LLMOps — the art of bringing AI models from prototype to production safely and effectively. From experiment tracking, CI/CD for ML, to LLM observability, cost optimization, guardrails, and compliance. Highest paying skills in AI.

Comprehensive course on Prompt Engineering — from writing basic prompts to Chain-of-Thoughts, Tree-of-Thoughts, Multimodal Prompting and building a Prompt Library for production. The most essential skill in the AI ​​age, immediately applicable to ChatGPT, Claude, Gemini.

In-depth course on Retrieval-Augmented Generation (RAG) — techniques for connecting the LLM to your own data. From basic RAG to Graph RAG, Agentic RAG, Multimodal RAG. Hands-on with ChromaDB, Qdrant, LangChain, LlamaIndex. Deploy "Chat with Documents" to production.

Comprehensive course on Fine-tuning Large Language Models — when to fine-tune, data preparation, fine-tuning on Google Gemini/Vertex AI, OpenAI, and open-source (LoRA/QLoRA). Compare Fine-tuning vs RAG, model evaluation methods, and production deployment. Calculate actual costs.

Practical course on building AI Agents — from simple chatbots to complex Multi-Agent systems. Proficient in Function Calling, Tool Use, RAG, MCP, LangGraph, CrewAI and deploying Agent to production. Each lesson is coded hands-on with Python.

Comprehensive course on Artificial Intelligence and Large Language Models — from Neural Networks platform, Transformer architecture, to Fine-tuning, RAG, AI Agents and production deployment. Learn hands-on with Python, PyTorch, and LLM APIs.

Comprehensive basic to advanced Kubernetes course for 2026, helping you master container orchestration, deploy production-ready applications, and prepare for CKA/CKAD certification. Updated to Kubernetes 1.32+ with Gateway API, Cilium, OpenTelemetry, Helm 4, Sidecar containers GA, ValidatingAdmissionPolicy, and AI/ML workloads.

Nginx Master Course: From Zero to Hero is a comprehensive course that helps you master Nginx from the most fundamental concepts to advanced techniques in real-world production environments.