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From design rationale
to operating detail.

A practical engineering manual for EKS operations, AI platforms, and performance testing. Each chapter explains the reasoning first, then follows through with measured results and reproducible operating procedures.

Open the manualSee the survey

232 documents6 chaptersKorean source · English mirror

Diagnose · L1EKS debuggingSymptom-first checklistsImplement · L4Model servingGPU · engines · routingDesign · L7Architecture decisionsPlatform decision framework
EKS debugging, Model serving, Architecture decisions

Explains the reasoning first

Not a list of commands: every choice comes with its background and trade-offs.

Every number carries its conditions

Benchmarks state their environment and verification level, and calculated examples stay separate from measured results.

Procedures from the field

Problems met in real operations and customer work, written up as reproducible check sequences.

Find your next chapter.

From the underlying infrastructure to AI systems. Start with the problem in front of you.

Infrastructure67 docs

EKS Best Practices

Networking, security, scaling, and cost. Build an operational foundation and trace problems to their source.

  • Networking
  • Control plane
  • Resources & cost
  • Reliability
  • Security
Open chapter
AI systems79 docs

Agentic AI Platform

Model serving, gateways, data, and observability. Understand the components and decisions behind an AI platform.

  • Design & architecture
  • Model serving
  • Operations & MLOps
  • Reference architecture
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  1. EKS Hybrid Nodes

    Hybrid infrastructure

    Connect on-premises nodes to EKS and operate networking, storage, and GPU workloads.

    23 docs

  2. AIDLC

    Development practice

    A development workflow for working with AI, from requirements through implementation and validation.

    45 docs

  3. Benchmarks

    Measurement

    Read results alongside their test conditions to compare performance, cost, and architecture.

    13 docs

  4. ROSA

    OpenShift on AWS

    Installation, security, and enterprise operations for Red Hat OpenShift on AWS.

    3 docs

Understand. Apply. Verify.

Guide to the manual
  1. 1Understand

    Understand the design choices.

    Compare component roles and alternatives against your requirements.

    AI platform decision framework
  2. 2Apply

    Work through the implementation.

    Review serving configurations and deployment examples, including the conditions they depend on.

    Model serving guide
  3. 3Verify

    Observe behavior and diagnose problems.

    Use metrics, diagnostic procedures, and checklists to understand how the system behaves.

    EKS debugging guide

The code beside the manual.

Continue with reference architectures and deployment configurations in the repositories.

AI on EKSAI workload configurations and examplesGenAI on EKS Starter KitPlatform components and a starting guide
An engineering manual, maintained in the openSource and revision historyAI documentation guide