System Design & Architecture

This section captures architecture patterns, system design ideas, and engineering approaches I commonly use when building scalable and reliable distributed systems.

Topics here are mostly based on real-world problems I’ve worked on or explored while working in payments, fintech, and high-volume backend platforms.

Focus areas include:

  • high-throughput transaction systems
  • cloud-native microservices
  • event-driven architecture
  • platform engineering practices
  • reliability and performance engineering

Architecture Topics

Payment System Architecture

Design considerations for building global payment platforms and transaction processing systems.

Topics:

Event-driven Architecture with Kafka

Designing asynchronous communication between services using event-driven patterns.

Topics:

  • event schema design
  • message ordering strategies
  • retry and dead letter queue handling
  • exactly-once vs at-least-once processing tradeoffs
  • consumer scaling approaches
  • handling duplicate events

Microservices Architecture

Common approaches for designing maintainable and loosely coupled microservices.

Topics:

  • defining service boundaries using domain-driven design concepts
  • API contract design
  • synchronous vs asynchronous communication decisions
  • service versioning strategies
  • backward compatibility considerations

Distributed Systems Reliability Patterns

Patterns commonly used to improve resilience and fault tolerance in distributed services.

Topics:

  • circuit breaker pattern
  • retry and timeout handling
  • idempotency key design
  • bulkhead isolation
  • fallback strategies
  • graceful degradation approaches

Cloud-native Architecture on AWS

Design approaches for running services in cloud-native environments.

Topics:

  • container orchestration using Kubernetes
  • autoscaling considerations
  • stateless service design
  • load balancing patterns
  • secure IAM design
  • infrastructure as code fundamentals

Observability Architecture

Designing systems that are easier to monitor, debug, and operate in production environments.

Topics:

  • centralized logging approaches
  • distributed tracing concepts
  • metrics design
  • alerting strategy
  • SLI / SLO basics
  • production debugging workflows

Tools referenced:

  • Splunk
  • CloudWatch
  • Grafana
  • ELK stack concepts

API Platform Engineering

Design considerations for building developer-friendly APIs that are consistent and easy to evolve.

Topics:

  • REST API design practices
  • versioning strategy
  • pagination patterns
  • request validation
  • standardized error responses
  • API gateway responsibilities

Microservices Migration Strategy (On-Prem → Cloud)

Notes based on experience working with legacy systems moving towards cloud-native platforms.

Topics:

  • strangler pattern migration approach
  • incremental service extraction
  • zero-downtime deployment approach
  • rollback safety considerations
  • data migration challenges
  • stakeholder coordination

CI/CD & Release Engineering

Practices that help teams deliver changes more frequently and more safely.

Topics:

  • trunk-based development
  • automated testing
  • deployment pipeline design
  • canary release approach
  • blue-green deployment

Architecture Principles

Some guiding principles I usually follow when thinking about system design:

  • design for failure scenarios
  • build observable systems
  • prioritize backward compatibility
  • automate operational workflows
  • reduce tight coupling between services
  • ensure auditability for financial systems

More architecture notes will continue to be added over time as I explore and document additional design topics.