# Agentic Ai Projects And Mastery
All Agentic Ai Projects And Mastery notes →A. Agent Framework Comparison Matrix
A reference matrix comparing agent frameworks (LangGraph, AutoGen, CrewAI, custom) across state management, tool-calling model, and production-readiness, for quick lookup rather than narrative reading.
B. Prompt Engineering Cheat Sheet
A condensed reference of prompt-engineering techniques (few-shot, chain-of-thought, structured output constraints) with when-to-use guidance rather than the full tutorial treatment given earlier in the book.
C. Agent Design Pattern Catalog
A condensed reference table of every architecture pattern covered in Part 00 of AI Architecture & System Design, listing each pattern's applicability criteria and trade-offs in one scannable page for interview-day review.
D. AI Security Checklist
A checklist reference for auditing an agent system's security posture - prompt injection defenses, tool-permission scoping, secrets handling - meant for a pre-launch review rather than first-time learning.
E. Production Readiness Checklist
A pre-launch checklist reference covering observability, rollback plan, rate limiting, and on-call ownership for shipping an agentic system to production.
F. AI System Design Interview Questions
A bank of practice system-design prompts specific to agentic AI, organized by difficulty, for timed self-practice ahead of an L6/L7 interview loop.
G. OpenAI, Anthropic & Google API Comparison
A reference comparison of the OpenAI, Anthropic, and Google model APIs - tool-calling formats, context window and pricing tiers, and streaming semantics - for choosing a provider without re-reading three sets of docs.
H. MCP Reference Guide
A condensed reference for the Model Context Protocol specification - message types, capability negotiation, and server/client lifecycle - as a lookup companion to the hands-on MCP server build in Part 00.
I. AI Engineering Glossary
A glossary defining the agentic-AI terminology used throughout the book (agent, tool, orchestrator, grounding, hallucination, context window, etc.) for quick reference rather than sequential reading.
J. Recommended Papers, Books & Open-Source Projects
An annotated reading list of foundational papers, books, and open-source projects referenced throughout the book, for readers who want to go deeper on a specific topic after finishing it.
# Ci Cd
All Ci Cd notes →1 — CI/CD Platform Reference Architecture
A reference architecture diagram and component checklist consolidating the platform layers covered across the book.
10 — GitHub Actions: Practice Exams
Three full mock GH-200 exams with detailed answer explanations for exam-readiness self-assessment.
11 — GitHub Actions: Troubleshooting Playbook
A troubleshooting playbook for debugging pipeline failures, performance issues, security incidents, and production outages traced back to CI/CD.
12 — GitHub Actions: YAML Reference
A YAML syntax quick-reference for GitHub Actions workflow authoring.
13 — GitHub Actions Expression Cheat Sheet
A cheat sheet of GitHub Actions expression functions and operators.
14 — GitHub Actions: Context Reference
A reference of every built-in GitHub Actions context object and its fields.
15 — GitHub Actions: Marketplace Best Practices
Best practices for choosing, pinning, and auditing third-party Marketplace actions.
16 — GitHub Actions: GitHub CLI (gh) Reference
A gh CLI command reference for scripting GitHub Actions and repository operations.
17 — GitHub Actions: Common Error Messages
A lookup of common GitHub Actions error messages and their root causes.
18 — GitHub Actions: GH-200 Exam Checklist
A final GH-200 exam-day readiness checklist.
19 — GitHub Actions: MAANG Interview Checklist
A final MAANG CI/CD interview readiness checklist.
2 — GitHub Actions: Migration Guide
A migration guide for moving existing pipelines from Jenkins, Azure DevOps, or GitLab CI to GitHub Actions.
3 — Argo Workflows & Tekton Comparison Matrix
A side-by-side comparison matrix of Argo Workflows and Tekton across architecture, extensibility, and operational model.
4 — Progressive Delivery Decision Matrix
A decision matrix for choosing among rolling, blue-green, canary, and shadow deployment strategies based on risk and rollback needs.
5 — Software Supply Chain Security Checklist (SLSA, SBOM, Sigstore)
A checklist of SLSA levels, SBOM requirements, and Sigstore signing/verification steps for hardening a software supply chain.
6 — DORA Metrics & Delivery KPIs
A quick-reference of the four DORA metrics and related delivery KPIs — see platform-engineering-fundamentals' DORA metrics chapter for the full derivation.
7 — CI/CD Platform Maturity Model
A quick-reference recap of the five-stage platform maturity model introduced in Part I, for use as a self-assessment checklist.
8 — GitHub Actions: GH-200 Exam Objectives
Maps the GH-200 exam blueprint — workflow authoring, security, automation, runner administration, and governance — to the chapters in this book.
9 — GitHub Actions: Hands-on Labs
A set of 25 guided, hands-on labs built from realistic enterprise scenarios for GH-200 practice.
# Grafana Cloud
All Grafana Cloud notes →Chapter 1 — CLI & Utilities Reference
A quick reference across gcx, the Grafana HTTP API, the Terraform provider, the Foundation SDK, Alloy, Mimirtool, LogCLI, Tempo CLI, k6 CLI, Faro SDK, and the OpenTelemetry Collector/Operator.
Chapter 2 — Query Language Cheat Sheets
Side-by-side cheat sheets for PromQL, LogQL, TraceQL, the River language, and common regex patterns.
Chapter 3 — Grafana Cloud APIs Reference
A terse reference for authentication, the resource model, API endpoints, pagination, error codes, and rate limits.
Chapter 4 — Observability Patterns
Dashboard design patterns, alert design patterns, labeling strategy, entity modeling, and multi-tenancy patterns as a pattern-library appendix.
Chapter 5 — Reference Architectures
A rollup of deployment-size reference architectures — small team, enterprise, multi-region, SaaS, Kubernetes, and hybrid cloud.
Chapter 6 — Certification & Interview Preparation
Best-practice checklists, troubleshooting scenarios, incident walkthroughs, architecture review checklists, interview Q&A, hands-on labs, and capstone projects for Grafana Cloud certification and interview prep.
# Internal Developer Platforms
All Internal Developer Platforms notes →1 — IDP Reference Architecture
Quick-reference version of the IDP reference architecture from Part II, for lookup without re-reading the full chapter.
2 — Backstage Entity Reference
Quick reference for Backstage's built-in entity kinds (Component, API, System, Domain, Resource, User, Group) and their required fields.
3 — Software Catalog Schema Examples
Worked catalog schema examples for the entity types introduced in Part V, as copy-adaptable starting points.
4 — Platform API Design Patterns
A pattern catalog for platform API design: pagination, idempotency keys, async operation status, specific to provisioning-style APIs.
5 — Developer Journey Mapping Templates
Blank developer-journey mapping templates for running the exercise from Part IX with a real team.
6 — IDP Capability Maturity Model
A capability maturity model for scoring an IDP's coverage across self-service, golden paths, catalog, and DevEx.
7 — Platform Engineering Reading List
A curated reading list of books, papers, and engineering blogs that shaped the practice of platform engineering and IDPs.
# Kubernetes Platform Engineering
All Kubernetes Platform Engineering notes →1 — Kubernetes Platform Reference Architecture
A consolidated reference diagram and component list for the platform architecture described across this book.
2 — Cluster Design Decision Matrix
A decision matrix for choosing cluster topology, control-plane management, and node architecture given a set of constraints.
3 — Multi-Tenancy Design Patterns
A catalog of multi-tenancy isolation patterns and when each is the right fit.
4 — GitOps Repository Structures
Reference repository layouts for GitOps-managed Kubernetes platforms, from single-cluster to fleet scale.
5 — Platform API Design Examples
Worked examples of platform API and resource-claim design for self-service infrastructure.
6 — Kubernetes Platform Maturity Model
A reference version of the maturity model introduced in Part I, expanded with assessment criteria per stage.
7 — CNCF Landscape for Platform Engineers
A curated map of the CNCF project landscape relevant to building and operating a Kubernetes platform.
# Low Level Design
All Low Level Design notes →1 — Appendix A: UML Cheat Sheet
Quick-reference summary of UML notation — class, sequence, and relationship symbols — for fast lookup while sketching an LLD design.
2 — Appendix B: SOLID & GRASP Cheat Sheet
Quick-reference summary of the five SOLID principles and the GRASP responsibility-assignment patterns, condensed for interview recall.
3 — Appendix C: Design Pattern Decision Matrix
Cross-references common design problems against candidate GoF patterns so the right pattern can be picked quickly instead of pattern-matched from memory.
4 — Appendix D: LLD Interview Checklist
A pre-interview and in-interview checklist condensing the Chapter 1 framework into a single pass/fail list to run through before finishing.
5 — Appendix E: Java Implementation Guidelines
Language-specific guidance for translating an LLD whiteboard design into idiomatic Java — interfaces, access modifiers, and collection choices.
6 — Appendix F: C# Implementation Guidelines
Language-specific guidance for translating an LLD whiteboard design into idiomatic C# — properties, interfaces, and access modifiers.
7 — Appendix G: C++ Implementation Guidelines
Language-specific guidance for translating an LLD whiteboard design into idiomatic C++ — ownership semantics, virtual dispatch, and RAII.
8 — Appendix H: Go Implementation Guidelines
Language-specific guidance for translating an LLD whiteboard design into idiomatic Go — implicit interfaces, composition over inheritance, and goroutine-safe state.
9 — Appendix I: Python Implementation Guidelines
Language-specific guidance for translating an LLD whiteboard design into idiomatic Python — duck typing, ABCs, and dataclass-based value objects.
# Platform Engineering Fundamentals
All Platform Engineering Fundamentals notes →1 — Platform Engineering Glossary
A glossary of platform engineering terminology used throughout this book.
2 — Team Topologies Reference
A quick reference for the Team Topologies team types and interaction modes.
3 — Platform Principles Cheat Sheet
A cheat sheet condensing this book's platform design principles into a single reference.
4 — DORA & SPACE Metrics Quick Reference
A quick reference for the DORA metrics and SPACE framework dimensions covered in Part VII.
5 — Platform Maturity Assessment
A self-assessment for gauging a platform's maturity stage.
6 — Recommended Reading & Research Papers
Recommended reading and research papers for going deeper on platform engineering.