RTS Questionnaire · Question 34 of 52 · file: answers/q34.html
Have you worked on distributed systems?
DistributedArchitectureCloud
β Yes β distributed systems are the core of my architecture experience, across enterprise middleware, microservices and cloud-native platforms.
π§ͺ Interactive proof: this answer has its own page with a live distributed-systems workflow, the resilience pipeline, the event contract and the running topology behind it β open the Q34 distributed-systems proof →
Technical detail
- π§© Architecture styles β microservices and service-oriented architectures, event-driven and message-based flows, and hybrid integration between on-premises middleware and cloud services.
- π Communication β synchronous REST/gRPC contracts plus asynchronous messaging with Kafka, RabbitMQ, ActiveMQ/JMS, Amazon SQS/SNS, EventBridge/Step Functions and Azure Service Bus; event schemas, ordering, partitioning and backpressure.
- π‘οΈ Reliability engineering β idempotent consumers, retry with exponential backoff and jitter, circuit breakers (Polly-style), dead-letter queues, timeouts and bulkheads, plus saga/outbox patterns for consistency without distributed locking.
- π Scale and operability β stateless services behind gateways/load balancers, caching layers, read replicas and partitioning, containers with Kubernetes/ECS/AKS, autoscaling, health probes and graceful shutdown.
- π Observability β structured logging with correlation IDs, distributed tracing (OpenTelemetry/Application Insights/CloudWatch), metrics and alerting, plus load/latency analysis during performance tuning.
π’ Real-world context: banking integrations via Oracle Service Bus/SOA, ETL and event pipelines in AWS, public-sector data platforms aggregating many sources, and cloud-hosted microservice APIs with messaging between bounded contexts.
π§Ύ CV evidence: CV: AWS Event Driven Architectural Microservice, MQ Systems (Kafka, RabbitMQ, ActiveMQ), Oracle SOA Suite/Service Bus/BPEL/BPM integration track, distributed AWS data services (Kinesis, Step Functions, SQS/SNS, EventBridge), Docker/Kubernetes orchestration.