Series
Architecture Patterns for Production Systems
01Strategy Design Pattern: Simplifying Software Design
Stop writing massive if-else statements. The Strategy Pattern allows you to swap algorithms at runtime. We explain it with a Payment Processing exampl
•11 min read- 03
Understanding Consistency Patterns: An In-Depth Analysis
Strong, Eventual, Causal? In distributed systems, keeping data in sync is a trade-off between spe...
•14 min read - 05
Big Data Architecture Patterns: Lambda, Kappa, CDC, Medallion, and Data Mesh
Choose ingestion, serving, and ownership patterns deliberately when data platforms start to scale.
•16 min read - 06
Blue-Green Deployment Pattern: Safe Cutovers with Instant Rollback
Run parallel environments and switch traffic atomically to reduce release risk.
•14 min read - 07
Bulkhead Pattern: Isolating Capacity to Protect Critical Workloads
Partition thread, connection, and queue resources so one noisy path cannot starve the system.
•16 min read - 08
Canary Deployment Pattern: Progressive Delivery Guarded by SLOs
Shift small traffic slices first and automate rollback on error-budget burn.
•13 min read - 09
Change Data Capture Pattern: Log-Based Data Movement Without Full Reloads
Capture insert, update, and delete events from source logs for timely downstream sync.
•16 min read - 10
Circuit Breaker Pattern: Prevent Cascading Failures in Service Calls
Trip fast on unhealthy dependencies to protect latency and preserve upstream capacity.
•16 min read - 11
Cloud Architecture Patterns: Cells, Control Planes, Sidecars, and Queue-Based Load Leveling
Cloud systems scale by isolating blast radius and separating coordination from request handling.
•15 min read - 12
CQRS Pattern: Separating Write Models from Query Models at Scale
Design independent command and query paths to scale reads without weakening write correctness.
•15 min read - 13
Data Pipeline Orchestration Pattern: DAG Scheduling, Retries, and Recovery
Orchestrate dependent data jobs with backfills, idempotent tasks, and lineage-aware operations.
•14 min read - 14
Dead Letter Queue Pattern: Isolating Poison Messages and Recovering Safely
Route failed messages out of hot paths to preserve throughput and enable deterministic replay.
•14 min read - 15
Deployment Architecture Patterns: Blue-Green, Canary, Shadow Traffic, Feature Flags, and GitOps
Release safety depends on traffic control, rollback speed, and separating deploy from exposure.
•13 min read - 16
Dimensional Modeling and SCD Patterns: Building Stable Analytics Warehouses
Design fact tables, dimensions, and SCD strategies that keep BI metrics historically correct.
•14 min read - 17
Event Sourcing Pattern: Auditability, Replay, and Evolution of Domain State
Persist domain facts as immutable events and rebuild state predictably under change.
•16 min read - 18
Feature Flags Pattern: Decouple Deployments from User Exposure
Control activation by cohort, tenant, or region without redeploying application code.
•14 min read - 19
Infrastructure as Code Pattern: GitOps, Reusable Modules, and Policy Guardrails
Manage cloud infrastructure declaratively with reviewable diffs, drift control, and policy checks.
•14 min read - 20
Integration Architecture Patterns: Orchestration, Choreography, Schema Contracts, and Idempotent Receivers
Reliable integrations depend on contracts, retries, dedupe, and ownership more than transport alone.
•14 min read