Design Patterns for Distributed Systems in Azure Kubernetes Service
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The document discusses design patterns for distributed systems, comparing monolithic applications with microservice architectures. It covers components of a Kubernetes cluster, scaling options for AKS clusters, and types of Azure storage available for AKS. Additionally, it highlights the scatter-gather pattern for handling requests across sharded services.
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Design Patterns for Distributed Systems in Azure Kubernetes Service
- 2. Monolithic Application Function A Function B Function C Monolithic application
- 3. Microservice Architecture Function B Microservice B API Function A Microservice A API Function C Microservice C API
- 4. Kubernetes Cluster Components Azure Application Node Node Cluster Master SchedulerController Manager State Storage Kubelet Runtime ContainerProxy
- 5. Replicated Load-Balanced Services Load Balancer Service ServiceService
- 6. Scale the cluster nodes
- 7. Scaling Options for AKS Cluster Autoscaler Node NodeNode Pod Autoscaler Scale out Pod PodPod Scale out
- 8. Load Balancer Service 2 Service 3Service 1 Requests 1 2 3 1 2 3 Sharded Services
- 9. AKS Cluster With Persistent Storage AKS Cluster Node Node Pod Persistent Volume Claim Persistent Volume Storage Class Azure Managed Disk Azure Files
- 10. Create a persistent volume
- 11. Azure Storage Types available for AKS TYPE SUPPORTED OSPERFORMANCE USE COST File Storage Med-High Linux/Windows Shared Data $ - $$$ Disk High Linux/Windows App Data $$ - $$$ Blob Storage Low Linux Static Files $
- 12. Scatter-Gather Pattern Root Node Node Shard 2 Node Shard 3 Node Shard 1 Request Merged shard responses