Architecture & System Design¶
Architecture concepts, design patterns, trade-offs, and practical system design decisions.
This site is my public architecture knowledge base: a structured collection of concepts, patterns, design approaches, and engineering decisions across modern software and cloud systems. The focus is not on individual technologies in isolation, but on why an architecture works, where it fails, how it scales, and what trade-offs shape the final design.
The material reflects the areas I work with and explore as a solutions and cloud architect, connecting system-design fundamentals with distributed systems, cloud architecture, security, reliability, data platforms, and AI-enabled applications.
Architecture domains¶
| Domain | Focus |
|---|---|
| System Design Fundamentals | Requirements, constraints, scalability, latency, throughput, availability, reliability, and consistency |
| Distributed Systems | Coordination, state, consistency, partitioning, replication, failure handling, and distributed communication |
| Cloud Architecture | Cloud design, hybrid connectivity, network boundaries, multi-account architecture, identity, and operational responsibility |
| Application Architecture | Service boundaries, microservices, multi-tenancy, data ownership, isolation, and operational trade-offs |
| Integration & Event-Driven Architecture | Events, messaging, streaming, delivery semantics, ordering, and distributed workflows |
| Data Architecture | Data modeling, persistence, transactions, replication, partitioning, and caching |
| Reliability & Resilience | Failure isolation, recovery, redundancy, graceful degradation, and resilience patterns |
| Security Architecture | Identity, access control, network security, encryption, isolation, and defense in depth |
| AI Architecture | Foundation models, RAG, vector search, agents, guardrails, and AI application architecture |
Architecture perspective¶
Good architecture connects business goals, technical constraints, operational realities, and long-term evolution. A design is rarely defined by a single pattern or product; it emerges from a sequence of decisions and trade-offs.
A consistent reasoning model used throughout this site is:
Business & Functional Requirements
↓
Constraints & Quality Attributes
↓
Scale, Capacity & Traffic Characteristics
↓
Interfaces, Data & Service Boundaries
↓
Architecture & Communication Model
↓
State, Consistency & Transactions
↓
Failure Modes & Resilience
↓
Security & Isolation
↓
Observability & Operations
↓
Scaling & Recovery Strategy
↓
Evolution & Migration
↓
Trade-offs & Architecture Decisions
What you'll find here¶
Architecture concepts¶
Concise references that explain important system-design and distributed-systems concepts, including the architectural problem, mechanics, design implications, and trade-offs.
Architecture patterns¶
Reusable patterns examined in context: what problem they solve, how they work, where they fit, their limitations, and the operational complexity they introduce.
System design case studies¶
Architecture scenarios organized around requirements, scale, APIs, data, failure handling, security, and operational trade-offs. See the System Design Case Studies.
Deep dives¶
Longer architecture discussions for topics where the implementation choices, failure modes, or trade-offs deserve more detailed treatment.
Labs¶
Practical implementation and validation of architecture designs. The AWS private Systems Manager connectivity lab establishes a hybrid management-connectivity problem and its validation criteria.
Design principles¶
The recurring questions behind the material on this site are simple but important:
- What problem are we solving, and what constraints actually matter?
- What happens when traffic, data volume, or tenant count grows significantly?
- Where does state live, and what consistency guarantees are required?
- What happens when a dependency, region, network path, or service fails?
- How is security enforced across identity, network, application, and data boundaries?
- How will the system be observed, operated, recovered, and evolved?
- Which trade-offs are we accepting, and why?
The objective is to make those decisions explicit and connect architecture theory to practical system design.