Cloud Architecture
The design of computing systems that leverage cloud infrastructure for scalability, resilience, and operational efficiency across distributed environments.
What is Cloud Architecture?
Cloud architecture is the design and orchestration of technology components—compute, storage, networking, security, and services—delivered through cloud providers like AWS, Azure, and Google Cloud. A well-designed cloud architecture balances performance, cost, security, and operational simplicity.
Core Principles
- Elasticity — Scale resources up and down based on demand
- Resilience — Design for failure with redundancy, health checks, and automated recovery
- Security by default — Least privilege access, encryption at rest and in transit, zero trust networking
- Cost optimisation — Right-size resources, use spot/reserved instances, monitor waste
- Observability — Comprehensive logging, metrics, tracing, and alerting
Key Patterns
Modern cloud architectures typically combine containerised microservices (Docker, Kubernetes), serverless functions (Lambda, Cloud Functions), managed databases (RDS, Cloud SQL), and event-driven messaging (SQS, Pub/Sub, Kafka). Infrastructure is defined as code (Terraform, Pulumi) and deployed through CI/CD pipelines.
The Blue Note Logic Perspective
We design cloud architectures for AI-native applications, which have unique requirements: GPU scheduling, large model artifact storage, high-throughput vector search, and streaming inference pipelines. Our approach is cloud-pragmatic, not cloud-religious—we recommend the provider and services that best fit the workload, and design for portability where it matters. The biggest anti-pattern we fight: deploying AI workloads on generic web architectures that weren't designed for the latency and compute profiles of model inference.