Skill

Implement Enterprise Design Patterns in Distributed Systems

Name: Implement Enterprise Design Patterns in Distributed Systems
Availability: OnlineOnly
Author: Antigravity

Deep-dive reference for 12 battle-tested distributed system patterns with implementation guides, trade-offs, and real-world use cases.

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Works with kafkapostgresqlrediselasticsearchdebezium

Antigravity

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out of 100

Updated today

Version 13.1.1

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Why it matters

Architect and implement proven distributed system patterns (CQRS, Event Sourcing, Saga, Circuit Breaker, and 8 more) to build resilient, scalable microservices that handle failures gracefully and maintain consistency across service boundaries.

Outcomes

What it gets done

Separate read and write models with CQRS to independently scale query and command paths

Implement saga orchestration with compensating transactions for multi-service workflows

Add circuit breakers and bulkheads to prevent cascade failures across microservices

Solve dual-write problems with outbox pattern for atomic DB and message queue updates

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Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-patterns | bash

Capabilities

What this skill does

Generate code

Writes source code or scripts from a description.

Review code

Analyzes code for bugs, style issues, and improvements.

Debug

Traces errors to their root cause and suggests fixes.

Overview

MONOPOLY - Design Patterns Deep Dive

What it does

A technical reference covering distributed systems design patterns with implementation details, trade-off analysis, and concrete examples of event-driven architectures, resilience patterns, and migration strategies.

How it connects

Use when designing microservices architectures, migrating from monoliths, implementing event-driven systems, or building resilience into distributed applications that require consistency, fault tolerance, and independent scaling of components.

Source README

Big job: Architect resilient, scalable distributed systems and microservices that handle failures gracefully and maintain consistency across service boundaries.

Small job: Learn distributed systems design patterns including CQRS, Event Sourcing, Saga (choreography and orchestration), Circuit Breaker, Bulkhead isolation, Strangler Fig migration, Outbox, Consistent Hashing, Backpressure, and Leader Election.

For example, the Saga pattern handles distributed transactions via choreography:

OrderService creates order →
  [event: OrderCreated] →
    PaymentService charges card →
      [event: PaymentProcessed] →
        InventoryService reserves stock →
          [event: StockReserved] →
            ShippingService books courier

And compensating transactions on failure:

ShippingService fails →
  [event: ShippingFailed] →
    InventoryService releases stock →
      PaymentService refunds card →
        OrderService marks order failed

Patterns include when-to-use criteria, implementation approaches, and trade-offs. Implementation examples reference technologies like Debezium, Kafka, EventStoreDB, Redis, Elasticsearch, Resilience4j, and Envoy. Real-world adopters mentioned include Amazon and LinkedIn for specific patterns.

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