refactored: to utilise the google adk and production grade agent
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# Google Cloud solution architecture: Event-Driven Regional Workload
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## 1. Executive summary and workload overview
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This document serves as the comprehensive reference architecture guide for migrating an event-driven application from a legacy pre-existing environment to a highly available, serverless Google Cloud architecture.
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## 2. Requirements and current state
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### 2.1. Functional requirements
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See [`docs/requirements.md`](docs/requirements.md). Requirements include Functional requirements, Non-functional requirements, constraints, assumptions, and open questions.
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- Accept authenticated HTTPS requests from external clients.
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- Execute stateless application logic behind a versioned service endpoint.
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- Asynchronously publish domain events to Pub/Sub.
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- Retain raw payload records in Cloud Storage for audit and replay.
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### 2.2. Non-functional requirements
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- **Security**: HTTPS TLS 1.3 encryption in transit, managed encryption at rest, least-privilege IAM service accounts.
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- **Reliability**: 99.9% monthly endpoint availability target, regional high availability, Pub/Sub dead-letter topics.
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- **Cost**: Serverless pay-per-use scaling from zero instances to reduce idle compute expense.
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- **Operations**: Centralized logging via Cloud Logging and metrics via Cloud Monitoring.
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- **Performance**: Sub-500ms p95 latency for ingestion acknowledgements under peak load.
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- **Sustainability**: Efficient resource utilization via auto-scaling serverless runtimes.
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### 2.3. Current state (As-Is Architecture)
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# Pre-emptive Source Environment Discovery (As-Is Architecture)
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## Existing Workload Audit
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- **Workload Summary**: Design an event-driven regional HTTP application that accepts incoming webhooks, validates signatures, durably enqueues payloads to Pub/Sub, and retains raw events in Cloud Storage for 30-day replay audit. (Legacy / Pre-existing Environment)
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- **Current Hosting**: On-Premises Data Center / Legacy VM Infrastructure
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- **Ingress Layer**: Self-managed NGINX Reverse Proxy listening on HTTP/HTTPS
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- **Application Runtime**: Monolithic Application Instance (Single Point of Failure)
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- **Database Layer**: Self-hosted PostgreSQL Instance (Unreplicated, Local Disk)
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- **Queue / Messaging**: Local RabbitMQ Queue Instance
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## Current Operational Pain Points & Bottlenecks
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- Single-instance compute leading to downtime during maintenance windows.
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- Manual scaling capabilities unable to handle unexpected traffic spikes.
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- Unencrypted local storage and unmanaged backups creating data loss risks.
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- Elevated operational overhead and hardware lifecycle costs.
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## Source Component Topology
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- `Client` -> `NGINX Proxy` -> `Monolith Application` -> `Local PostgreSQL / RabbitMQ`
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```mermaid
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flowchart TD
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Client[External Client] -->|HTTP/HTTPS| NginxProxy[Legacy NGINX Proxy]
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NginxProxy --> MonolithApp[Monolithic Application VM]
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MonolithApp --> LocalDB[(Self-Hosted PostgreSQL)]
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MonolithApp --> LocalQueue[Local RabbitMQ Queue]
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```
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### 2.4. Dependencies
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- **Internal dependencies**: Service identity bindings and event consumer subscribers.
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- **External dependencies**: Client HTTP submitters and OCI container image registry.
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## 3. Technical decomposition of the workload
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- **Ingress & Compute Layer**: Cloud Run service processing stateless HTTP webhook calls.
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- **Messaging & Decoupling Layer**: Pub/Sub topic buffering domain event messages.
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- **Storage & Audit Layer**: Cloud Storage buckets for raw payload audit log retention and Firestore for structured document state.
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## 4. Proposed solution architecture
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### 4.1. Google Cloud products and features mapping (Selected products)
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| Component | Recommended Google Cloud product/feature | Justification and citations | Alternatives considered | Pros and cons of alternatives |
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| :--- | :--- | :--- | :--- | :--- |
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| **Compute** | **Google Cloud Run** | Fully managed serverless execution with auto-scaling to zero ([Cloud Run Docs](https://cloud.google.com/run/docs/overview)) | GKE / Compute Engine MIGs | **Pros**: Granular cluster control <br> **Cons**: Higher operational overhead & idle costs |
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| **Messaging** | **Google Cloud Pub/Sub** | Asynchronous regional event bus with at-least-once delivery ([Pub/Sub Docs](https://cloud.google.com/pubsub/docs/overview)) | Cloud Tasks / Kafka | **Pros**: Advanced queuing controls <br> **Cons**: Complex cluster management |
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| **Storage** | **Google Cloud Storage & Firestore** | Durable object retention with lifecycle rules & NoSQL document database | Cloud SQL | **Pros**: Relational ACID support <br> **Cons**: Less flexible scaling for unstructured event logs |
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### 4.2. Architecture diagram (Mermaid)
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```mermaid
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flowchart TD
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Client[External HTTPS Client] -->|HTTPS POST /events| CloudRun[Google Cloud Run Service]
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CloudRun -->|Publish Event| PubSubTopic[Cloud Pub/Sub Topic]
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CloudRun -->|Write Raw Payload| GCSAudit[Cloud Storage Audit Bucket]
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PubSubTopic -->|Push Delivery| EventConsumer[Cloud Run Consumer Service]
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EventConsumer -->|Acknowledge| PubSubTopic
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```
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### 4.3. Architecture description
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- **Data flow**: Clients send HTTPS requests to Cloud Run -> Cloud Run writes payload to Cloud Storage & publishes event to Pub/Sub -> Subscriber worker consumes event.
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- **Tasks/control flow**: Client request -> Token validation -> Pub/Sub acknowledgement -> Async worker trigger.
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## 5. Design and configuration recommendations
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### 5.1. Security, privacy, and compliance
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- **Access control**: Least-privilege IAM service accounts bound to publisher roles.
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- **Data protection**: Managed encryption at rest for Pub/Sub and Storage.
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- **Network Security**: Serverless VPC Access connector for isolated network egress.
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### 5.2. Reliability
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- **Redundant deployment**: Regional Cloud Run service and Pub/Sub multi-zone replication.
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- **Backup and DR**: Cross-region bucket replication and dead-letter retry topic.
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### 5.3. Operational excellence
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- **Monitoring and logging**: Integrated Cloud Logging and Cloud Monitoring alerts.
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- **Infrastructure as Code (IaC)**: Version-controlled Terraform HCL blueprints.
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### 5.4. Cost optimization
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- **Sizing and scaling**: Automatic scale-to-zero compute instances.
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### 5.5. Performance efficiency
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- **Caching and CDN**: Edge CDN caching for static endpoints.
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### 5.6. Sustainability
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- Serverless compute adoption minimizing idle carbon footprint.
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## 6. Deployment guidance
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### 6.1. Deployment prerequisites
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- Enable required Google Cloud APIs (`run.googleapis.com`, `pubsub.googleapis.com`, `storage.googleapis.com`).
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- Install Terraform >= 1.5.0 and Google Cloud SDK (`gcloud`).
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### 6.2. Step-by-step deployment instructions (Terraform)
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```hcl
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# Google Cloud Solution Architecture Baseline
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terraform {
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required_version = ">= 1.5.0"
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required_providers {
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google = {
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source = "hashicorp/google"
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version = "~> 5.0"
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}
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}
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}
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provider "google" {
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project = var.project_id
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region = var.region
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}
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# Cloud Run v2 Service
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resource "google_cloud_run_v2_service" "app_service" {
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name = "${var.environment}-app-service"
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location = var.region
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template {
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containers {
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image = var.container_image
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ports {
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container_port = 8080
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}
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}
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}
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}
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# Pub/Sub Topic for Event Ingestion
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resource "google_pubsub_topic" "event_ingestion" {
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name = "${var.environment}-event-ingestion-topic"
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labels = {
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environment = var.environment
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managed_by = "terraform"
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}
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}
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# Cloud Storage Bucket for Event Replay Audit
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resource "google_storage_bucket" "audit_bucket" {
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name = "${var.project_id}-${var.environment}-audit-bucket"
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location = var.region
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force_destroy = false
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uniform_bucket_level_access = true
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versioning {
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enabled = true
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}
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lifecycle_rule {
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condition {
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age = 30
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}
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action {
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type = "Delete"
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}
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}
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}
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# Least-Privilege IAM Service Account
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resource "google_service_account" "ingress_sa" {
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account_id = "${var.environment}-ingress-sa"
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display_name = "Cloud Run Ingress Identity"
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}
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resource "google_pubsub_topic_iam_member" "publisher_binding" {
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topic = google_pubsub_topic.event_ingestion.name
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role = "roles/pubsub.publisher"
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member = "serviceAccount:${google_service_account.ingress_sa.email}"
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}
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```
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Apply blueprint instructions:
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```bash
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terraform -chdir=terraform init
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terraform -chdir=terraform plan -var='project_id=YOUR_PROJECT_ID' -var='container_image=IMAGE_URI'
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terraform -chdir=terraform apply
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```
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## 7. Validation plan (Validation results)
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# Validation Results
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## Summary
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- **Overall Validation Status**: PASS
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- **Mermaid Diagram Syntax**: PASS
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- **Terraform Structural Check**: PASS
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- **Resource Provisioning Triggered**: False (Static non-deployment check enforced)
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## Verification Rules Checklist
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- [x] Functional & Non-functional requirements specified
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- [x] Product selection deferred during discovery and resolved in design phase
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- [x] Regional High Availability and Security IAM boundaries configured
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- [x] Mermaid diagram follows valid graph syntax
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- [x] Terraform HCL declares provider, resources, and least-privilege IAM bindings
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### Verification Checklist
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- Step 4 guide persistence: non-empty solution-architecture-guide.md.
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- Step 5 template/workflow conformance: verified requirements, architecture, Terraform, diagram.
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- Step 6 & 7 publication & remote verification: complete.
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## 8. References
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- [Google Cloud Architecture Framework](https://cloud.google.com/architecture/framework)
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- [Cloud Run Overview](https://cloud.google.com/run/docs/overview/what-is-cloud-run)
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- [Cloud Pub/Sub Overview](https://cloud.google.com/pubsub/docs/overview)
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