ArchGen

Cloud Architecture Diagram

Focus: Kubernetes + Service Mesh. Key areas: DNS, L7 LB, TLS.

Use this as a block diagram of the system when explaining architecture.

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Diagram caption: Cloud Architecture Diagram (Kubernetes + Service Mesh) has 4 layers: Edge & Networking, Compute Platform, Data Platform, Operations & Governance.

Prompt

Cloud architecture diagram for a vendor-neutral cloud-native platform. Route traffic through a global load balancer into a VPC, then to a Kubernetes cluster with service mesh for secure service-to-service calls. Core services run in containers with autoscaling. Data storage uses managed SQL, object storage for blobs, and Redis/OpenSearch for cache and search. Add CI/CD pipelines, observability with Prometheus/Grafana, and policy enforcement with OPA. Include IAM, secrets vault, and audit logging.
Highlights
  • Key flows · Request flow: users hit the load balancer, traffic enters the Kubernetes ingress, and service mesh routes requests to microservices with mTLS.
  • Module responsibilities · Edge & Networking / API Gateway: Secure APIs; Enforce quotas; Route traffic
  • Layer details · Compute Platform: Modules include Kubernetes Cluster, Service Mesh, Background Workers.

Overview

Cloud Architecture Diagram (Kubernetes + Service Mesh) has 4 layers: Edge & Networking, Compute Platform, Data Platform, Operations & Governance.

Layer details

Show all (4)
  • Edge & Networking: Modules include Global Load Balancer, API Gateway, Zero Trust Access.
  • Compute Platform: Modules include Kubernetes Cluster, Service Mesh, Background Workers.
  • Data Platform: Modules include Managed SQL, Object Storage, Cache & Search.
  • Operations & Governance: Modules include Observability, CI/CD & Policy, Secrets & IAM.

Module responsibilities

Show all (12)
  • Edge & Networking / Global Load Balancer: Route traffic; Reduce latency; Fail over regions
  • Edge & Networking / API Gateway: Secure APIs; Enforce quotas; Route traffic
  • Edge & Networking / Zero Trust Access: Authenticate users; Enforce access; Log sessions
  • Compute Platform / Kubernetes Cluster: Run containers; Scale workloads; Expose services
  • Compute Platform / Service Mesh: Secure east-west calls; Control traffic; Collect telemetry
  • Compute Platform / Background Workers: Process async work; Handle retries; Scale separately
  • Data Platform / Managed SQL: Store transactions; Ensure ACID; Support reporting
  • Data Platform / Object Storage: Store files; Serve assets; Archive data
  • Data Platform / Cache & Search: Reduce latency; Enable discovery; Power queries
  • Operations & Governance / Observability: Monitor health; Detect incidents; Enable debugging
  • Operations & Governance / CI/CD & Policy: Automate deploys; Enforce standards; Track changes
  • Operations & Governance / Secrets & IAM: Protect credentials; Enforce least privilege; Record access

Key flows

Show all (3)
  • Request flow: users hit the load balancer, traffic enters the Kubernetes ingress, and service mesh routes requests to microservices with mTLS.
  • Data flow: services store transactions in managed SQL, cache hot data in Redis, and push events to Kafka for indexing in OpenSearch.
  • Ops flow: GitOps pipelines deploy new releases, while Prometheus and Grafana monitor system health and trigger alerts.