Microservices & Distributed Systems
I design and implement microservice ecosystems that balance autonomy with coordination. My solutions address the unique challenges of distributed systems including network reliability, data consistency, and operational complexity. Using container orchestration and service meshes, I create systems where services can independently scale, deploy, and recover while maintaining clear communication contracts. The architecture includes resilience patterns, observability tools, and deployment automation to handle real-world production loads.
Development Services
Domain-Driven Service Decomposition
Identifying service boundaries based on business capabilities rather than technical layers, with clearly defined contexts and anti-corruption layers.
Event-Driven Architecture Implementation
Building with Kafka or NATS for event sourcing and CQRS patterns, ensuring reliable message delivery and stream processing capabilities.
Distributed Transaction Management
Implementing saga patterns and compensating transactions to maintain data consistency across service boundaries without tight coupling.
Service Mesh Integration
Configuring Istio or Linkerd for service discovery, mutual TLS, and cross-cutting concerns like retries and circuit breaking.
Cloud-Native Service Packaging
Creating optimized Docker images with multi-stage builds and deploying to Kubernetes with proper resource limits and pod anti-affinity rules.
Multi-Region Deployment Strategies
Designing for geographic redundancy with eventual consistency models and intelligent traffic routing for disaster recovery.
Benefits
Independent Scaling
Each service can be scaled based on its specific resource needs and traffic patterns, optimizing infrastructure costs.
Fault Containment
Isolation boundaries prevent localized failures from cascading through the entire system, improving overall availability.
Continuous Delivery
Smaller, focused services enable faster iteration cycles with reduced coordination overhead between teams.
Technology Flexibility
Freedom to choose the best language and framework for each service's requirements without platform lock-in.
Development Process
Bounded Context Identification
Analyze business domains to define service responsibilities and interaction patterns through event storming sessions.
Platform Foundation Setup
Establish the container registry, CI/CD pipelines, monitoring stack, and service mesh infrastructure before service development.
Service Implementation
Develop individual services with their own data stores, following twelve-factor app principles for cloud compatibility.
Operational Readiness
Implement logging aggregation, distributed tracing, and failure injection testing to validate resilience before launch.