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Azure Microservices Architecture

Design and build cloud-native microservices on Azure — AKS, Container Apps, Service Bus, API Management, and event-driven architecture for scalable, reliable enterprise systems.

Azure Certified Architecture ExperienceAKS & Container Apps Production SystemsEvent-Driven Azure Architecture ExpertHealthcare Azure HIPAA Architecture

The Challenge

Microservices on Azure Are Complex to Design and Operate Correctly

Microservices architecture on Azure promises scalability, independent deployment, and resilience — but delivers those benefits only when designed and implemented correctly. Common failure modes: services that are too fine-grained (creating distributed monolith complexity without the benefits), synchronous service-to-service HTTP calls that create cascading failures, no service mesh for observability and traffic management, Kubernetes configurations that work in development but cause memory and CPU issues in production, and event-driven architectures where consumers cannot keep up with producer throughput. Healthcare workloads add HIPAA compliance requirements — private networking, data encryption, audit logging, and access controls — that must be designed into every Azure component from the start.

Deliverables

Azure Microservices Capabilities

  • Azure Kubernetes Service (AKS) — cluster design, node pool configuration, pod autoscaling, network policy, ingress with AGIC, and production-grade Kubernetes operations
  • Azure Container Apps — serverless container hosting for microservices that need scale-to-zero and event-driven scaling without full Kubernetes management overhead
  • Azure Service Bus — message queue and topic design, dead-letter handling, session management, and at-least-once delivery guarantees for business-critical events
  • Azure API Management — API gateway configuration, rate limiting, API versioning, OAuth integration, and developer portal
  • Azure Functions — event-driven compute for lightweight processing, timer triggers, Service Bus triggers, and HTTP APIs
  • Event-driven architecture — Azure Event Grid for system events, Event Hubs for high-throughput telemetry, and Cosmos DB Change Feed for data change events
  • Azure Cosmos DB microservices data — partition strategy design, multi-region replication, consistency level selection, and Change Feed for event sourcing
  • Dapr integration — Dapr sidecars for service discovery, pub/sub, state management, and service invocation with built-in resilience
  • Observability stack — Azure Monitor, Application Insights distributed tracing, Log Analytics, and custom dashboards
  • HIPAA-compliant architecture — private endpoints, virtual network integration, Azure Key Vault, managed identities, and audit logging

Stack

Azure Microservices Stack

Azure Kubernetes Service (AKS)Azure Container AppsAzure Service BusAzure API ManagementAzure FunctionsAzure Event GridAzure Event HubsAzure Cosmos DBAzure SQLDapr.NET 8C#DockerHelmAzure MonitorApplication InsightsTerraform

Process

Azure Microservices Delivery

A clear, predictable engagement model with no surprises.

1

Architecture Design & Domain Decomposition

Design the service boundaries using Domain-Driven Design — identify aggregates, bounded contexts, and the right service granularity. Produce an architecture decision record (ADR) for each major decision.

2

Infrastructure as Code

Define all Azure resources in Terraform or Bicep. Implement environment parity (dev/staging/production) from day one. All infrastructure changes deployed through CI/CD, never manual.

3

Service Development with Observability

Build each service with structured logging, distributed tracing, and health checks from the first line of code. Observability is not added after — it is how the services are built.

4

Integration Testing & Chaos Engineering

Integration test service interactions in a staging environment that mirrors production. Conduct chaos engineering exercises — inject service failures, network partitions, and database outages. Verify the system degrades gracefully.

5

Production Deployment & Operations

Blue-green or canary deployment strategy. Production monitoring dashboards. Runbook for common operational scenarios. SLA targets defined and monitored from day one.

FAQ

Frequently Asked Questions

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