Engineering

ENGINEERING / DISTRIBUTED SYSTEMS

When systems
work together.

Distributed systems are about more than connecting services. They are about communication, coordination and building systems that remain dependable even when parts of them fail.

KafkaMicroservicesEvent-driven systems

DISTRIBUTED COMMUNICATION

An event in motion

Producer

Publish event

Message Broker

Route & retain

Consumers

Process event

EVENT FLOWAsynchronous

order.created → broker → order.consumer

WHAT I'M EXPLORING

Areas of focus

Five parts of one bigger picture.

01

Distributed Systems Fundamentals

Understanding how independent services coordinate, communicate, and operate across networks where latency, partial failures, and uncertainty are unavoidable.

CAP theoremConsistency modelsService discoveryNetwork communication
02

Event-Driven Architecture

Using asynchronous communication to decouple services, process business events, and build workflows that can scale independently.

Apache KafkaEvent-driven systemsMessage brokersEvent schemas
03

Messaging & Delivery Semantics

Designing reliable message-processing workflows while understanding duplicates, ordering, retries, and the practical limits of delivery guarantees.

Consumer groupsPartitionsOffset managementIdempotency
04

Resilience & Fault Tolerance

Preparing systems for failures through controlled retries, timeouts, circuit breakers, dead-letter queues, and recovery strategies.

Retry strategiesDead-letter queuesCircuit breakersFailure recovery
05

Scalability & Observability

Understanding bottlenecks, scaling workloads, and tracing behaviour across services to make distributed applications easier to operate.

Horizontal scalingLoad distributionDistributed tracingMetrics and logging

MY PERSPECTIVE

Design for failure.
Build for reliability.

Distributed systems are not about eliminating failure. They are about designing for it. I find the most interesting engineering decisions happen at the boundaries between services: how messages are delivered, how state stays consistent, and how a system recovers when something goes wrong.

Understanding these details helps turn a collection of services into a system that people can depend on.