TechFleek
EngineeringCloud & DevOps

Architecting Scalable Microservices with Docker, Kubernetes & Queues

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BY TechFleek Platform Team
9 MIN
Microservices architecture diagram with Docker, Kubernetes and message queues

Start with a Modular Monolith

Premature microservice decomposition introduces distributed system complexity before business boundaries are proven. Build a clean modular monolith first, and extract services only when team boundaries or specific scaling bottlenecks demand it.

Essential Platform Components

  • Docker Multi-Stage Builds: Produce lean, distroless production container images containing zero unneeded dependencies or build tooling.
  • Kubernetes Autoscaling: Implement Horizontal Pod Autoscalers (HPA) paired with Kubernetes Event-driven Autoscaling (KEDA) to scale workers according to queue depth.
  • BullMQ & RabbitMQ Asynchronous Queues: Offload resource-intensive tasks like PDF compilation and webhooks to background workers with Dead Letter Queues (DLQs).
  • Distributed Tracing with OpenTelemetry: Trace requests across services to detect latency regressions and error propagation paths instantly.
#Kubernetes#Docker#Queues#AWS#DevOps

Discussion Archive

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Q&A Archive

Q.When should our team transition from a monolith to microservices?

Decompose a monolith when independent deployment cycles, distinct scaling requirements, or team coordination friction outweigh the operational overhead of microservices.