Hualin Luan Cloud Native · Quant Trading · AI Engineering

Series

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Series
7
Published chapters
51
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Priority reading

Priority series

These series currently provide the most complete in-depth learning paths on the site.

Microservice governance From enterprise-level CF platform to cloud native: more than ten years of evolution of enterprise-level microservice governance 6/6 chapters Python Python Memory Model Deep Dive 7/7 chapters Quantitative system development practice Quantitative trading system development record 7/7 chapters Java Java Core Technologies Deep Dive 8/8 chapters Content Platform Engineering Minimal upgrade path from blog to technology platform 4/4 chapters

All series

All series

Displayed in content maintenance order, including planned entries that currently have no published chapters.

Microservice governance Completed Advanced

From enterprise-level CF platform to cloud native: more than ten years of evolution of enterprise-level microservice governance

Taking the architectural evolution from enterprise-level Cloud Foundry to cloud-native governance from 2015 to 2026 (to date) as the main line, we systematically review the observations, traffic, resilience, releases, and technical decisions of enterprise-level microservice governance.

Chapters
6/6
Estimated reading
90 min
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  1. Part 1 From enterprise-level CF platform to cloud native (1): Architect's review - the gains and losses of microservice governance in the era of enterprise-level CF platform
  2. Part 2 From enterprise-level CF platform to cloud native (2): Observability-driven governance—from monitoring large screens to precise decision-making systems
  3. Part 3 From enterprise-level CF platform to cloud native (3): The evolution of traffic management - from Spring Cloud Gateway to Gateway API and Ambient Mesh
  4. Part 4 From enterprise-level CF platform to cloud native (4): Redefining elastic fault tolerance—from Hystrix to adaptive governance
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Microservices Cloud Foundry Architecture Governance
Python Completed Advanced

Python Memory Model Deep Dive

From memory architecture to ecosystem flywheel, understanding Python's technical essence in the AI era and the capability building path for developers

Chapters
7/7
Estimated reading
120 min
Local progress
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  1. Part 1 Original Interpretation: The Three-Layer World of Python Memory Architecture
  2. Part 2 Original Interpretation: Python Garbage Collection - The Three Most Common Misconceptions
  3. Part 3 Original Analysis: 72 Processes vs 1 Process—How GIL Becomes a Bottleneck for AI Training and PEP 703's Breakthrough
  4. Part 4 Original Analysis: Python as a Glue Language—How Bindings Connect Performance and Ease of Use
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Python Memory Management Gil Pep703 Bindings Fastapi AI Engineering Ecosystem
Quantitative system development practice Completed Advanced

Quantitative trading system development record

From Micang Trader's system boundaries, data flow, trading periods, backtesting consistency, performance defense lines, test defense lines to architecture evolution, the system reviews how a real-level quantitative trading system is designed, verified and reconstructed.

Chapters
7/7
Estimated reading
240 min
Local progress
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  1. Part 1 Quantitative trading system development record (1): five key decisions in project startup and architecture design
  2. Part 2 Quantitative trading system development record (2): Python Pitfalls practical pitfall avoidance guide (1)
  3. Part 3 Record of Quantitative Trading System Development (Part 3): Python Pitfalls Practical Pitfalls Avoidance Guide (Part 2)
  4. Part 4 Quantitative trading system development record (4): test-driven agile development (AI Agent assistance)
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Quant Trading AI Engineering Architecture Python Vnpy Spec Driven Development
Java Completed Advanced

Java Core Technologies Deep Dive

Build a modern Java architecture decision framework from JMM, GC, Loom, Valhalla, Panama, cloud-native deployment, and Spring AI.

Chapters
8/8
Estimated reading
320 min
Local progress
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  1. Part 1 Java Memory Model Deep Dive: From Happens-Before to Safe Publication
  2. Part 2 Modern Java Garbage Collection: Production Judgment, Evidence Collection, and Tuning Paths
  3. Part 3 Concurrency Governance with Virtual Threads in Production Systems
  4. Part 4 Valhalla and Panama: Java's Future Memory and Foreign-Interface Model
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Java Jvm Garbage Collection Concurrency Cloud Native AI Engineering
OpenClaw security in-depth interpretation Completed Intermediate

OpenClaw in-depth interpretation

A series of original interpretations of issues surrounding OpenClaw security, agent runtimes, tool boundaries, and engineering governance.

Chapters
10/10
Estimated reading
120 min
Local progress
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  1. Part 1 Original interpretation: Why do OpenClaw security incidents always happen after 'the risk is already known'?
  2. Part 2 Original interpretation: Why is the lightweight Agent solution likely to be closer to production reality than the 'big and comprehensive' solution?
  3. Part 3 Original interpretation: Treat Notion as the control plane of 18 Agents. The first thing to solve is never 'automation'
  4. Part 4 Original interpretation: Putting Agent into ESP32, the easiest thing to avoid is not the performance pit, but the boundary illusion.
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Openclaw Agent Security Original Interpretation
AI programming assessment Completed Intermediate

AI Coding Mentor Series

Systematic interpretation around AI programming assessment, problem design, collaboration models, case studies, and SFT data generation.

Chapters
9/9
Estimated reading
160 min
Local progress
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  1. Part 1 Why do you need to be a coding mentor for AI?
  2. Part 2 Panorama of AI programming ability evaluation: from HumanEval to SWE-bench, the evolution and selection of benchmarks
  3. Part 3 How to design high-quality programming questions: from question surface to evaluation contract
  4. Part 4 Four-step approach to AI capability assessment: from one test to continuous system evaluation
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Ai Coding Mentor Programming Evaluation Human Ai Collaboration
Content Platform Engineering Completed Intermediate

Minimal upgrade path from blog to technology platform

From the perspective of thematicization, content discovery, information architecture and engineering implementation, record the minimum feasible path for upgrading a personal technology blog into a content platform.

Chapters
4/4
Estimated reading
80 min
Local progress
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  1. Part 1 The minimum upgrade path from blog to technology platform (1): from 'file pile' to 'thematic'
  2. Part 2 The smallest upgrade path from blog to technology platform (2): The design art of labels and topics
  3. Part 3 The smallest upgrade path from blog to technology platform (3): Build a platform-based homepage - let readers go from 'seeing' to 'discovering'
  4. Part 4 The smallest upgrade path from blog to technology platform (4): Astro + Content Collections practical guide
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Blog Upgrade Content Strategy Information Architecture Astro