Deep Dive on Apache Kafka: A System Design Interview Perspective
A system design interview guide to Apache Kafka — commit log architecture, partitioning, replication, consumer groups, and exactly-once semantics.
The Archive of
Intentional Thought
Technical essays, architectural deep-dives, and practical guides at the intersection of code and design.
Page 5 of 28
Deep Dive on Redis: Architecture, Data Structures, and Production Usage
A guide to Redis — single-threaded architecture, data structures, persistence, clustering, distributed locks, and running it at scale.
Deep Dive on Elasticsearch: A System Design Interview Perspective
A system design interview guide to Elasticsearch — inverted indexes, cluster architecture, the write/read paths, and scaling search systems.
Deep Dive on API Gateway: A System Design Interview Perspective
A system design interview guide to API Gateways — request lifecycle, auth, rate limiting, routing, circuit breakers, and production patterns.
REST API Design: Pagination, Versioning, and Best Practices
A guide to designing production-grade REST APIs — resource naming, HTTP methods, pagination strategies, versioning, and error handling.
Efficient Data Modelling: A Practical Guide for Production Systems
A hands-on guide to data modelling — normalization tradeoffs, indexing strategies, access-pattern-driven schemas, and safe schema evolution.
Deep Dive on Caching: From Browser to Database
A guide to caching in distributed systems — layers, invalidation strategies, eviction policies, thundering herd and hot keys, with Redis patterns.
System Design Patterns for Real-Time Updates at High Traffic
How to build real-time systems handling millions of connections — WebSockets, SSE, pub/sub fan-out, presence tracking, and backpressure.
System Design Patterns for Scaling Writes
A practical guide to scaling write-heavy systems — sharding strategies, write-ahead logs, async queues, event sourcing, and batching.
System Design Patterns for Managing Long-Running Tasks
How to design systems that reliably execute long-running tasks — async job queues, progress tracking, retries, checkpointing, and sagas.
System Design Patterns for Handling Large Blobs
How to design systems that upload, store, process, and serve large binary objects at scale — presigned URLs, chunked uploads, and CDN tiering.
Explaining SAGA Patterns with Examples
A deep dive into the SAGA pattern for distributed transactions — orchestration vs choreography, compensation flows, and production code.