Systems Architecture & Distributed Systems Topics
Large-scale distributed system design, service architecture, microservices patterns, global distribution strategies, scalability, and fault tolerance at the service/application layer. Covers microservices decomposition, caching strategies, API design, eventual consistency, multi-region systems, and architectural resilience patterns. Excludes storage and database optimization (see Database Engineering & Data Systems), data pipeline infrastructure (see Data Engineering & Analytics Infrastructure), and infrastructure platform design (see Cloud & Infrastructure).
Multi-Tenancy and Isolation
Serving many tenants from shared infrastructure: tenancy models (silo, pool, bridge), data isolation, noisy-neighbor mitigation, per-tenant limits, and security boundaries between tenants. Covers the cost, isolation, and blast-radius tradeoffs of shared versus dedicated resources. The architecture layer specific to SaaS and platform products.
Observability and Monitoring for Distributed Systems
Understanding system behavior in production: metrics, logs, and distributed tracing, SLIs/SLOs/SLAs, alerting, dashboards, and service mesh observability. Covers correlating signals across services, defining meaningful telemetry, and reducing mean-time-to-detect. The visibility layer that makes distributed systems operable at scale.
API and Interface Design for Distributed Services
Designing the contracts between services and clients: REST, gRPC, and GraphQL tradeoffs, versioning and backward compatibility, pagination, rate limiting, and idempotent endpoints. Covers request/response modeling, error contracts, and API gateway responsibilities. Focuses on the interface layer that ties distributed components together, not internal data schemas.
Payment and Transaction Processing Systems
Designing systems that move money correctly: idempotent payment flows, exactly-once semantics, reconciliation, ledgers, double-entry accounting, and fraud-detection architecture. Covers handling retries and partial failures without double-charging, and the consistency guarantees payments demand. A high-stakes specialization of distributed transactions.
Service Discovery and Configuration Management
Letting services find and configure each other at runtime: service registries, client-side versus server-side discovery, DNS-based discovery, dynamic configuration, feature flags, and secrets distribution. Covers how services stay wired together as instances come and go, and how config changes propagate safely. The connective plumbing of a microservices deployment.
System Design Methodology and Trade-off Analysis
The end-to-end approach to an open-ended design problem and the judgment that resolves it: clarifying scope and constraints, gathering functional and non-functional requirements, capacity and back-of-envelope estimation, and mapping requirements to a high-level architecture, then reasoning explicitly about competing options on cost, complexity, latency, and reliability to defend a choice. Covers driving a design interview from ambiguity to a proposal, trade-off frameworks, decision-making under uncertainty and incomplete information, reversible-versus-irreversible decisions, and defending choices under scrutiny. The process-and-judgment skill underneath every system-design case study.
Distributed Systems Security and Trust
Securing communication and trust across a distributed system: service-to-service authentication and authorization, mutual TLS, zero-trust boundaries, secrets management, and multi-party protocols and distributed trust models. Covers securing data in transit and at rest across service boundaries and isolating tenant and network zones. The security-architecture concerns specific to distributed designs.
Content Delivery and Edge Networking
Serving content and computation close to users: CDN architecture, edge caching, cache-control and purge strategies, and edge computing versus centralized cloud processing. Covers origin shielding, geo-routing, and the tradeoffs of pushing logic to the edge for latency-sensitive workloads. Application-layer content distribution rather than raw network engineering.
IoT and Edge Device System Architecture
Designing systems for large fleets of connected devices: device connectivity and provisioning, telemetry ingestion at scale, edge-versus-cloud processing splits, intermittent connectivity, and firmware/config rollout. Covers the constraints of constrained devices and the ingestion pipeline behind them. Distributed architecture where the edge is physical hardware.