Contains course learnings, coding interview problems, and daily learnings.

Using this notebook

Browse topics through the primary navigation. Each note has one H1 heading and is validated for a consistent heading hierarchy and working local image links.

Directory

Programming

• Core concepts
  • Concurrency
• Java
  • Garbage Collection
  • Multithreading
  • Snippets
  • Miscellaneous
  • Gradle
• Go
  • Basic Syntax
  • Code Generation
  • Concurrency
  • Context
  • Database Programming
  • gRPC Application
  • HTTP Services
  • Testing
• Rust
• Spring
  • Data Transactions
  • Spring Cloud
    • Fundamentals
    • Distributed Configuration
    • Service Discovery
    • Intelligent Routing
    • Client-side Load Balancing
    • Self-healing Services
    • Wrap-up
  • Miscellaneous

Cloud and infrastructure

• AWS
• Kubernetes
  • Overview
  • Namespaces

Data

• Data engineering
  • Overview
  • Apache Spark
  • Big Data
• Databases
  • Overview
  • SQLite

AI and machine learning

• Generative AI
  • Amazon Bedrock
  • Building Systems with ChatGPT
  • Enhancing RAG with RAPTOR
  • LangChain
  • LangSmith
  • LlamaIndex
  • Prompt Engineering
• MLOps

Observability

• OpenTelemetry
  • Collector
  • Go SDK
  • Logs
  • Metrics

Reference and journal

• Cheat sheets
  • Docker
  • kubectl
  • Miscellaneous HowTos
• Work Learnings Journal

Content provenance

New AI-created or substantially AI-rewritten material is marked at its specific section with a timestamped AI-generated or AI-modified information panel. Uncertain or unverified time-sensitive content receives a timestamped review warning. Editable diagrams are stored with their SVG exports in book/excalidraw/; replaced raster sources are retained under archive/original-images/.

Maintained refresher coverage

The public notebook includes concise refreshers for programming and concurrency, cloud infrastructure, data systems, databases, generative AI, MLOps, and OpenTelemetry. Legacy notes are retained when they remain useful for historical context, with a manual-review warning where a version-specific workflow should not be followed without checking current primary documentation.

The work-learning journal remains personal material and is not part of public-note content refreshes.

Cultivating rough notes

Rough inputs are kept outside the published notebook and pass through a private, one-time claim workflow. Refinements are written to a separate review area with section-level provenance, timestamps, references, and review flags. Raw sources remain unchanged and are archived only after explicit approval; configured private paths and the existing personal journal are excluded from automated reading by default.