Cloud-native architecture isn't just about running workloads in the cloud — it's about designing systems that fully leverage cloud capabilities from the ground up.
1. Microservices with Service Mesh
Breaking monoliths into independently deployable services, managed through a service mesh like Istio, provides granular control over traffic, security, and observability.
2. Event-Driven Architecture
Decoupling services through event streams (Kafka, SNS/SQS) enables real-time data processing and eliminates tight coupling between components.
3. Serverless-First for Variable Workloads
Lambda and Cloud Functions eliminate idle compute costs. For workloads with unpredictable traffic patterns, serverless can reduce infrastructure spending by 40-70%.
4. Multi-Region Active-Active
For enterprises requiring 99.99%+ uptime, active-active deployments across multiple regions ensure business continuity even during regional outages.
5. GitOps for Infrastructure
Managing infrastructure through version-controlled repositories brings the same rigor to operations that CI/CD brought to application deployment.
Enjoyed this article?
Subscribe to get more insights on AI, cloud, and enterprise engineering delivered straight to your inbox.
