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Cloud Ecosystem Hub

Your Complete Visual Guide to
Modern Cloud Platforms

Explore AWS, Azure, and Google Cloud through interactive diagrams, architecture patterns, and hands-on learning resources — all in one place.

3
Cloud Providers
60+
Core Services
12
Architecture Patterns
Learning Resources
Cloud Providers

Choose Your Cloud Platform

Explore each provider's ecosystem, services, and architecture patterns with interactive visual guides.

Amazon Web Services
The world's most comprehensive cloud platform with 200+ services and global infrastructure.
ComputeStorageServerlessML/AI
EC2
Compute
🗄️
S3
Storage
⚙️
Lambda
Serverless
🗃️
RDS
Database
🌐
CloudFront
CDN
🔐
IAM
Security
Microsoft Azure
Enterprise-grade hybrid cloud for complex workloads, AI, and deep Microsoft ecosystem integration.
HybridEnterpriseAI/MLDevOps
💻
VMs
Compute
📦
Blob
Storage
Functions
Serverless
🗃️
SQL DB
Database
☸️
AKS
Kubernetes
🤖
OpenAI
AI
Google Cloud Platform
Data-first cloud built on Google's global infrastructure — leading in Kubernetes, BigQuery & AI.
Big DataKubernetesML/AIAnalytics
🖥️
Compute
VMs
📊
BigQuery
Analytics
☸️
GKE
Kubernetes
🔥
Firebase
App Dev
🤖
Vertex AI
ML/AI
📡
Pub/Sub
Messaging
Amazon Web Services
200+ cloud services · 33 global regions · Market leader since 2006
33% Market Share 32 Regions 102 AZs
Filter:
Compute
EC2
Scalable VMs with 750+ instance types across CPU, GPU, and memory optimized families.
⚙️
Serverless
Lambda
Run code without managing servers. Pay only per invocation. Supports 15+ runtimes.
☸️
Containers
EKS
Managed Kubernetes with native AWS integrations for IAM, VPC, and load balancing.
🗄️
Storage
S3
Object storage with 11 9s durability. Supports versioning, lifecycle, and replication.
🗃️
Database
RDS
Managed relational DB supporting PostgreSQL, MySQL, MariaDB, Oracle, and SQL Server.
NoSQL
DynamoDB
Fully managed key-value and document DB with single-digit millisecond performance.
🌐
CDN
CloudFront
Global CDN with 450+ edge locations for low-latency static and dynamic content delivery.
🔐
Security
IAM
Fine-grained access control. Manage users, roles, and policies for all AWS services.
📊
Monitoring
CloudWatch
Unified observability for logs, metrics, traces, and automated alarms.
🔔
Messaging
SNS / SQS
Managed pub/sub notifications and decoupled message queuing at any scale.
🤖
ML/AI
SageMaker
End-to-end ML platform for building, training, and deploying models at scale.
🏗️
IaC
CloudFormation
Infrastructure as code using JSON/YAML templates for repeatable provisioning.
Well-Architected Pillars
  • Operational Excellence — automate and iterate
  • Security — protect data, systems, and assets
  • Reliability — recover from failures automatically
  • Performance Efficiency — use resources efficiently
  • Cost Optimization — eliminate unnecessary spend
  • Sustainability — minimize environmental impact
Architecture Patterns
  • Multi-AZ deployments for high availability
  • VPC with public/private subnets + NAT Gateway
  • Auto Scaling Groups behind Application Load Balancer
  • Serverless: API Gateway + Lambda + DynamoDB
  • Event-driven with SNS, SQS, EventBridge
  • Blue/green via CodeDeploy for zero-downtime deploys
CI/CD (AWS Native)
  • CodeCommit — Git-based source control
  • CodeBuild — managed build and test service
  • CodeDeploy — automated EC2/Lambda/ECS deployments
  • CodePipeline — full CI/CD orchestration
  • ECR — container image registry
  • CloudFormation / CDK — infrastructure as code
Monitoring & Observability
  • CloudWatch Metrics — resource dashboards
  • CloudWatch Logs — centralized log aggregation
  • X-Ray — distributed request tracing
  • AWS Config — compliance and config history
  • GuardDuty — intelligent threat detection
  • Security Hub — unified security findings
AWS Well-Architected Best Practices
6 Practices
🔐
01
Least Privilege IAM
Grant only the minimum permissions required. Use IAM roles for EC2 and Lambda — never embed long-lived credentials in code or environment variables.
🌍
02
Multi-Region Design
Design for failure across AZs and regions. Use Route 53 health checks and failover routing for automatic regional failover with zero manual intervention.
💰
03
Cost Optimization
Use Reserved Instances for steady-state workloads and Spot Instances for batch. Enable AWS Cost Explorer, set billing alerts and use Savings Plans proactively.
📈
04
Auto Scaling
Configure target tracking scaling policies on real business metrics. Use predictive scaling for known traffic patterns and schedule-based scaling for recurring spikes.
🏗️
05
Infrastructure as Code
Use AWS CDK for type-safe, programmatic IaC. Never apply manual console changes in production. Version all CloudFormation stacks and enforce via CI/CD pipelines.
🔒
06
Encrypt Everything
Enable S3 default encryption with KMS. Enforce TLS for all data in transit. Rotate keys automatically. Store all secrets in AWS Secrets Manager — never in config files.
Lambda Handler (Node.js)
// AWS Lambda — Node.js 20 export const handler = async (event) => { const { id } = event.pathParameters; const item = await dynamoDB .get({ TableName: 'users', Key: { id } }) .promise(); return { statusCode: 200, body: JSON.stringify(item.Item) }; };
CDK Infrastructure (TypeScript)
// AWS CDK — TypeScript const bucket = new Bucket(this, 'Assets', { versioned: true, encryption: BucketEncryption.KMS, removalPolicy: RemovalPolicy.RETAIN }); const fn = new Function(this, 'API', { runtime: Runtime.NODEJS_20_X, environment: { BUCKET: bucket.bucketName } });
Microsoft Azure
Enterprise hybrid cloud · 60+ regions · Deep Microsoft 365 integration
22% Market Share 60+ Regions Hybrid Cloud
Filter:
💻
Compute
Virtual Machines
Windows and Linux VMs with up to 96 vCPUs, GPU instances, and spot pricing.
🔧
PaaS
App Service
Fully managed platform for web apps, REST APIs, and mobile backends.
Serverless
Functions
Event-driven serverless compute with 60-min timeout and Durable Functions support.
☸️
Kubernetes
AKS
Managed Kubernetes with built-in Azure DevOps, ACR, and monitoring integration.
📦
Storage
Blob Storage
Massively scalable object storage for unstructured data, backups, and archives.
🗃️
Database
Azure SQL
Fully managed SQL with built-in intelligence, auto-tuning, and serverless tier.
🤖
AI
Azure OpenAI
GPT-4, DALL-E and Embeddings with enterprise security, compliance, and SLAs.
🔗
Messaging
Service Bus
Enterprise messaging with queues, topics, and sessions for decoupled architectures.
🌐
CDN
Azure CDN
Global content delivery with 118 PoPs and DDoS protection built-in.
🔐
Identity
Azure AD
Cloud identity with SSO, MFA, conditional access, and B2B/B2C support.
📊
Monitoring
Azure Monitor
Full-stack monitoring with Application Insights and Log Analytics workspaces.
🔄
DevOps
Azure DevOps
Complete DevOps toolchain: Boards, Repos, Pipelines, Artifacts, and Test Plans.
Azure Well-Architected Framework
  • Reliability — design for failure with redundancy
  • Security — zero trust network access model
  • Cost Optimization — right-size and auto-scale
  • Operational Excellence — DevOps and automation
  • Performance Efficiency — scale horizontally
Common Architecture Patterns
  • Hub-spoke topology with Azure Firewall
  • Hybrid connectivity via ExpressRoute or VPN
  • AKS with Azure Container Registry pipeline
  • Event-driven with Event Grid and Service Bus
  • CQRS pattern with Cosmos DB and Functions
  • API Management gateway in front of microservices
Azure DevOps Pipeline
  • Azure Repos — Git with branch policies
  • Azure Pipelines — YAML CI/CD for any platform
  • Azure Artifacts — package management (npm, NuGet)
  • Azure Container Registry — private container images
  • Helm charts + AKS for Kubernetes deployments
  • Bicep or ARM templates for IaC
Monitoring Stack
  • Application Insights — APM and user analytics
  • Log Analytics — Kusto query over all logs
  • Azure Monitor Alerts — metric-based triggers
  • Azure Sentinel — SIEM and SOAR platform
  • Defender for Cloud — security posture management
Azure Well-Architected Best Practices
6 Practices
🔑
01
Zero Trust Security
Verify explicitly, use least privilege access, and assume breach at all times. Apply Conditional Access policies everywhere — no implicit trust based on network location.
🏗️
02
Infrastructure as Code
Use Bicep for type-safe, concise ARM template authoring. Store all templates in Azure Repos and enforce deployments exclusively through Azure Pipelines — no ad-hoc portal changes.
📈
03
Autoscale Everything
Configure VMSS and AKS Horizontal Pod Autoscaler with custom metrics. Use Azure Load Testing to validate scale targets under realistic traffic before deploying to production.
🌍
04
Geo-Redundancy
Pair Azure regions for disaster recovery. Use Azure Traffic Manager with priority and weighted routing for global load balancing and seamless automatic regional failover.
💰
05
Cost Management
Act on Azure Advisor recommendations weekly. Apply mandatory resource tagging for cost showback. Set budgets with action group alerts before hitting spend thresholds.
🔒
06
Key Vault Everywhere
Never hardcode secrets in application code or pipelines. Use Managed Identity to access Key Vault from any Azure service — no passwords, no certificates, no rotation burden.
Azure Functions (C#)
// Azure Function — Isolated Worker [Function("HttpTrigger")] public async Task<HttpResponseData> Run( [HttpTrigger(AuthorizationLevel.Function, "post")] HttpRequestData req) { var body = await req.ReadFromJsonAsync<UserDto>(); await _repo.SaveAsync(body); return req.CreateResponse(HttpStatusCode.Created); }
Bicep Infrastructure
// Azure Bicep — Storage Account resource sa 'Microsoft.Storage/storageAccounts@2023-01-01' = { name: storageAccountName location: location sku: { name: 'Standard_LRS' } kind: 'StorageV2' properties: { minimumTlsVersion: 'TLS1_2' supportsHttpsTrafficOnly: true } }
Google Cloud Platform
Data-first cloud · Kubernetes birthplace · Leading ML/AI infrastructure
11% Market Share 40+ Regions BigQuery Leader
Filter:
🖥️
Compute
Compute Engine
Custom machine types, preemptible VMs, and sole-tenant nodes on Google infrastructure.
☸️
Kubernetes
GKE
The birthplace of Kubernetes. Autopilot mode for fully managed clusters at scale.
Serverless
Cloud Run
Run containers serverlessly. Auto-scales to zero. Supports any language or binary.
🗄️
Storage
Cloud Storage
Unified object storage with strong consistency and multi-region availability.
🗃️
Database
Cloud SQL
Fully managed PostgreSQL, MySQL, and SQL Server with high availability and PITR.
Database
Spanner
Globally distributed relational database with unlimited scale and 99.999% availability.
📊
Analytics
BigQuery
Serverless, multi-cloud data warehouse. Analyze petabytes in seconds with SQL.
🤖
ML/AI
Vertex AI
Unified ML platform — train, deploy, and manage models including Gemini foundation models.
📡
Messaging
Pub/Sub
Fully managed real-time messaging service that scales to millions of messages per second.
🔥
App Dev
Firebase
Google's mobile and web app development platform with real-time database and auth.
🔐
Security
Cloud IAM
Fine-grained identity and access management for all GCP resources and services.
🏗️
DevOps
Cloud Build
Fully managed CI/CD platform that imports code and executes builds in the cloud.
Google Architecture Principles
  • Design for failure — assume components will fail
  • Make everything a managed service where possible
  • Use global load balancing with anycast IPs
  • Prefer event-driven over synchronous coupling
  • Automate everything with Cloud Build + Terraform
Common GCP Patterns
  • GKE Autopilot + Workload Identity Federation
  • BigQuery + Looker for analytics and BI
  • Pub/Sub + Dataflow for streaming pipelines
  • Cloud Run + Firestore for serverless APIs
  • VPC Service Controls for data exfiltration prevention
  • Anthos for hybrid and multi-cloud workloads
Cloud Build CI/CD
  • Cloud Source Repositories — managed Git
  • Cloud Build — serverless CI/CD with 120 free min/day
  • Artifact Registry — Docker, npm, Maven images
  • Cloud Deploy — managed CD for GKE and Cloud Run
  • Skaffold — local K8s development + CI integration
  • Terraform + Cloud Foundation Toolkit for IaC
Observability Stack
  • Cloud Monitoring — metrics, dashboards, alerts
  • Cloud Logging — structured logs at petabyte scale
  • Cloud Trace — distributed tracing for microservices
  • Cloud Profiler — continuous CPU/memory profiling
  • Error Reporting — real-time error grouping and alerts
GCP Well-Architected Best Practices
6 Practices
🔑
01
Workload Identity Federation
Use Workload Identity Federation instead of service account keys. Eliminates credential management, rotation burden, and the risk of key leakage entirely — the safest IAM pattern on GCP.
☸️
02
GKE Autopilot Mode
Let Google manage node provisioning, scaling, and security hardening. Focus entirely on workloads, not infrastructure. Billing by pod resource requests — no idle node waste.
📊
03
BigQuery Best Practices
Partition tables by date and cluster by high-cardinality columns to minimise bytes scanned. Use BI Engine for sub-second dashboard queries and avoid SELECT * on large tables.
🔒
04
VPC Service Controls
Create security perimeters around GCP APIs to prevent data exfiltration, even from compromised credentials. Enforce organisation-wide via resource hierarchy and access policies.
💰
05
Committed Use Discounts
Achieve up to 57% discount with 1–3 year Committed Use Discounts. Use Active Assist recommendations to right-size resources weekly and eliminate overprovisioned compute spend.
🌍
06
Global Load Balancing
Use Google's Anycast IP for a single global VIP. Traffic is automatically routed to the nearest healthy backend over Google's private backbone — zero additional RTT for global users.
Cloud Run Service (Python)
# Cloud Run — Python Flask from flask import Flask, jsonify from google.cloud import firestore app = Flask(__name__) db = firestore.Client() @app.route('/users/<user_id>') def get_user(user_id): doc = db.collection('users').document(user_id).get() return jsonify(doc.to_dict())
BigQuery Query (SQL)
-- BigQuery — partitioned analytics SELECT DATE_TRUNC(event_date, MONTH) AS month, country, COUNT(*) AS events, COUNT(DISTINCT user_id) AS users FROM `project.dataset.events` WHERE event_date >= DATE_SUB(CURRENT_DATE(), INTERVAL 90 DAY) AND event_type = 'purchase' GROUP BY 1, 2 ORDER BY month DESC
Side by Side

AWS vs Azure vs GCP

Compare the three major cloud providers across key service categories.

Show:
Category
AWS
AWS
Azure
GCP
🖥️  Virtual MachinesEC2Virtual MachinesCompute Engine
☸️  Managed KubernetesEKSAKSGKE (Autopilot)
⚡  Serverless FunctionsLambdaAzure FunctionsCloud Run / Functions
🗄️  Object StorageS3Blob StorageCloud Storage
🗃️  Managed SQLRDS / AuroraAzure SQL DatabaseCloud SQL / Spanner
⚡  NoSQL DatabaseDynamoDBCosmos DBFirestore / Bigtable
📊  Data WarehouseRedshiftSynapse AnalyticsBigQuery
🤖  AI / ML PlatformSageMakerAzure ML / OpenAIVertex AI / Gemini
🌐  CDNCloudFrontAzure CDN / Front DoorCloud CDN
🏗️  IaCCDK / CloudFormationBicep / ARMDeployment Manager / TF
🔄  CI/CD NativeCodePipelineAzure DevOps PipelinesCloud Build + Deploy
🔐  Identity & AccessIAM + CognitoAzure AD / EntraIAM + Identity Platform
📈  Market Share (2024)~33%~22%~11%
🗺️  Regions (approx)32 regions, 102 AZs60+ regions40+ regions
No matching categories found.
DevOps Integration

Cloud-Native DevOps Pipelines

Each cloud provider offers a complete DevOps toolchain. See how they map to common CI/CD stages.

🔁
Universal CI/CD Pipeline
6 stages every cloud team runs
1
Source Control Git + branch protection & PR reviews
2
Build Compile, test, lint, create artifacts
3
Containerise Docker build & push to registry
4
Test Unit, integration & security scanning
5
Deploy Blue/green or canary to staging → prod
6
Monitor Metrics, logs, traces & alerts
🛠️
Third-Party Tools
Work seamlessly on AWS, Azure & GCP
⚙️
GitHub Actions
CI/CD · Native cloud
🏗️
Terraform
IaC · Multi-cloud
☸️
Kubernetes
Orchestration
Helm
K8s packages
📊
Prometheus + Grafana
Monitoring · Open source
🐕
Datadog / New Relic
Observability · SaaS
Learning Resources

Start Your Cloud Journey

Curated certifications, documentation, and hands-on labs for each provider.

Enterprise Architecture

B2B Architecture

Cloud patterns built for business-to-business integrations, APIs, and partner ecosystems.

🏢
Business-to-Business Cloud Architecture
Secure partner integrations · API gateways · EDI · Event-driven data exchange
EnterpriseAPI-FirstHigh Security

B2B architecture enables secure, scalable communication between organisations. Rather than direct database access, businesses exchange data through APIs, message queues, and event buses — decoupling systems and enabling independent scaling.

🔌
API Gateway Layer
OAuth 2.0 + mTLS secured endpoints. Rate limiting, versioning, and partner-specific throttling policies.
🔐
Zero-Trust Network
Each service call is authenticated. Private VPC peering, service mesh (Istio), and certificate rotation.
📡
Event-Driven Integration
Kafka or cloud-native event buses decouple partner systems. Replay, audit trails, and dead-letter queues.
📊
Observability & SLA Tracking
Partner SLA dashboards, latency tracking, error budgets, and automated incident escalation.
Supply ChainPayment Processing ERP IntegrationSaaS Platforms Marketplace APIs
Enterprise Architecture

B2C Architecture

High-throughput consumer-facing cloud design built for millions of concurrent users.

👤
Business-to-Consumer Cloud Architecture
Global CDN · Auto-scaling · Personalisation · Real-time sessions
High TrafficGlobal ScaleLow Latency

B2C architecture must handle unpredictable traffic spikes — flash sales, viral moments, live events. The design prioritises low latency at the edge, horizontal auto-scaling, and stateless services to serve millions of consumers globally.

🌍
Global CDN + Edge Computing
Static assets cached at 200+ PoPs. Edge functions handle personalisation without origin round-trips.
⚖️
Horizontal Auto-Scaling
Load balancers distribute across auto-scaling groups. Scale from 100 to 100,000 requests/sec in minutes.
🔔
Push Notifications & WebSockets
Real-time updates via managed WebSocket APIs. Event sourcing keeps UI state consistent across devices.
🤖
Personalisation Engine
ML-powered recommendations cached in Redis. A/B testing at the edge using feature flags and canary rollouts.
E-CommerceStreaming Media Social PlatformsMobile Apps Gaming
Application Tiers

One-Tier Architecture

All application components run within a single environment — the simplest, fastest-to-deploy model.

1️⃣
One-Tier (Monolithic) Architecture
Single deployment unit · Shared memory · Zero network latency internally
SimpleMonolithicSingle Process

In a one-tier architecture, the presentation, business logic, and data layer all reside in a single executable or process. There are no network calls between layers — everything communicates through in-memory function calls.

✅ Advantages
• Zero network overhead
• Simple to develop & debug
• Easy local development
• Low initial cost
⚠️ Limitations
• Hard to scale independently
• Single point of failure
• Technology lock-in
• Large deployment units
Desktop ToolsCLI Applications Batch JobsPrototypes
Application Tiers

Two-Tier Architecture

Client-server model separating the user interface from the data store.

2️⃣
Two-Tier (Client-Server) Architecture
UI + Logic client · Data server · Direct DB connection
Client-ServerDirect DBThin Separation

The two-tier model splits the application into a client tier (containing UI and business logic) and a data tier (database server). The client communicates directly with the database, reducing complexity but limiting scalability.

✅ Advantages
• Faster than one-tier for teams
• Simple architecture
• Direct query performance
• Easier data consistency
⚠️ Limitations
• Business logic in client
• Security risks (direct DB)
• Hard to maintain consistency
• Limited scalability
Internal ToolsLegacy ERP Small AppsLAN Applications
Application Tiers

Three-Tier Architecture

The industry-standard architecture: presentation, logic, and data as separate, independently scalable layers.

3️⃣
Three-Tier (N-Layer) Architecture
Presentation · Application Logic · Data — independently deployable and scalable
Industry StandardScalableSeparation of Concerns

Three-tier architecture is the gold standard for web applications. Each tier has a distinct responsibility: the presentation tier handles UI, the application tier runs business logic, and the data tier persists state. Tiers communicate only through defined interfaces.

🖥️
Presentation Tier
React / Angular SPA or server-rendered HTML. Deployed to CDN or static hosting. Calls REST/GraphQL APIs only.
⚙️
Application Tier
Node.js / Spring Boot / Django. Stateless services behind a load balancer. Scales horizontally with demand.
🗄️
Data Tier
Managed PostgreSQL + Redis cache. Read replicas for query scaling. Backups, PITR, and encryption at rest.
Web ApplicationsREST APIs E-CommerceSaaS ProductsPortals
Application Tiers

N-Tier Architecture

Distributed microservices — each domain owns its layer, deployed and scaled independently in the cloud.

🔢
N-Tier (Microservices) Architecture
Independent services · Event mesh · API gateway · Domain-driven design
MicroservicesCloud NativeDDD

N-Tier takes separation of concerns to the extreme — each bounded context becomes an independent deployable service. Services communicate via async events or REST/gRPC, each owning its own data store. This enables Netflix-scale independent deployments.

🚪
API Gateway + BFF
Single entry point for all clients. Backend-for-Frontend pattern serves mobile, web, and partner APIs differently.
🕸️
Service Mesh (Istio/Linkerd)
mTLS between all services automatically. Circuit breakers, retries, and distributed tracing built-in.
📬
Event-Driven Decoupling
Kafka or cloud event buses connect services without tight coupling. CQRS and Event Sourcing for audit trails.
☸️
Container Orchestration
Kubernetes manages service discovery, rolling deploys, auto-healing, and resource scheduling across nodes.
Netflix / Uber ScaleFintech Platforms Enterprise SaaSTrading Systems
Security

Cloud Security

Defence-in-depth strategies, zero-trust principles, and compliance frameworks for enterprise cloud.

🛡️
Cloud Security Architecture
Zero-trust · Defence-in-depth · Shared responsibility · Compliance automation
Zero TrustSOC 2ISO 27001

Cloud security follows a shared responsibility model — the provider secures the infrastructure, but customers own identity, data, and application security. Zero trust means every request is authenticated and authorised, regardless of network location.

🔑
Identity & Access Management
Least-privilege RBAC, short-lived tokens, MFA everywhere. Workload identity for service-to-service auth.
🔒
Encryption Everywhere
TLS 1.3 in transit. AES-256 at rest. Customer-managed keys (CMEK) in HSM. Envelope encryption for secrets.
🕵️
Threat Detection & SIEM
Anomaly detection on API calls and data access patterns. SIEM aggregates logs for correlation and alerting.
📋
Compliance as Code
Policy guardrails via AWS SCPs / Azure Policy / GCP Org Constraints. Drift detection and automated remediation.
🔑
Identity & Access
Centralised IdP with OIDC/SAML. SCIM provisioning. Privileged access workstations. PAM vaulting for admin credentials.
IAM SSO MFA
🌐
Network Security
VPC segmentation, private subnets, NACLs and security groups. WAF at the edge. DDoS protection and IP reputation filtering.
VPC WAF DDoS
🔒
Data Protection
AES-256 encryption at rest. TLS 1.3 in transit. CMEK for sensitive workloads. Data classification and DLP policies enforced at query level.
Encryption CMEK DLP
🛡️
Container Security
Image scanning in CI/CD pipeline. Non-root containers. Pod security standards. Runtime threat detection with Falco.
Falco OPA SBOM
🕵️
Threat Detection
ML-based anomaly detection on API calls. CloudTrail / Activity Log / Cloud Audit forwarded to SIEM. Automated runbooks for response.
SIEM SOAR XDR
📋
Compliance & Governance
SOC 2 Type II, ISO 27001, GDPR, HIPAA, PCI-DSS. Policy-as-code enforces guardrails. Continuous compliance scanning and evidence collection.
SOC 2 GDPR PCI-DSS
Industry Platforms

E-Commerce Platform Architecture

Resilient, high-performance commerce infrastructure — from product catalogue to order fulfilment at global scale.

🛒
E-Commerce Platform Architecture
Catalogue · Cart · Checkout · Payments · Fulfilment · Personalisation
High Availability Event-Driven CDN-First PCI-DSS

Modern e-commerce platforms are domain-decomposed microservices — each bounded context (catalogue, cart, orders, payments, fulfilment) owns its data and scales independently. The read path (browsing, search) is heavily cached and CDN-served, while the write path (checkout, payment) goes through strict transactional services.

📦
Product Catalogue Service
ElasticSearch for full-text search. Redis L2 cache for hot SKUs. Event-driven inventory sync via Kafka — zero stale listings.
🛒
Cart & Session Service
Redis-backed distributed cart — survives server failures. Guest carts migrated on login. Promo code validation in real-time.
💳
Checkout & Payment Orchestration
Saga pattern coordinates: reserve stock → charge payment → confirm order → trigger fulfilment. Rollback on any failure.
🚚
Order Fulfilment Pipeline
Async event chain: order confirmed → warehouse pick → shipping label → carrier API → real-time tracking webhook.
🤖
Personalisation & Recommendations
ML-powered collaborative filtering. A/B test variants served at edge. Click-stream analytics in real-time via Kinesis / Pub/Sub.
Online Retail Flash Sales Marketplaces D2C Brands B2B Commerce
🔍
Search & Discovery
ElasticSearch / OpenSearch with vector embeddings. Faceted filters, typo tolerance, and synonym expansion. Sub-100ms p99 globally.
ElasticSearchRedisCDN
📊
Inventory Management
Real-time stock levels via event sourcing. Optimistic locking prevents overselling. Multi-warehouse routing for fastest fulfilment.
Event SourcingCQRS
📈
Flash Sale Readiness
Pre-warm caches 15 min before sale. Rate limit checkout to prevent stampede. Queue-based waitlist for sold-out items.
Auto-ScaleQueue
🌍
Global Edge Delivery
Product pages, images and JS bundles on CDN. Edge-side includes (ESI) for personalised fragments without full-page miss.
CloudFrontFastly
🔔
Notification Engine
Order status, shipping updates, and abandoned-cart nudges via email, SMS, and push. Template rendering at edge. Preference centre.
SES/SNSTwilio
📋
Analytics & Reporting
Click-stream to data warehouse via streaming ETL. Revenue dashboards, funnel analysis, and cohort retention in near-real-time.
BigQueryRedshift
Industry Platforms

Payment & Banking Platform Architecture

Mission-critical financial infrastructure — real-time transactions, fraud detection, regulatory compliance, and five-nines availability.

💳
Payment & Banking Platform Architecture
Real-time processing · Fraud ML · PCI-DSS · Core banking · Open Banking APIs
PCI-DSS L1 99.999% SLA Real-Time ISO 27001

Payment platforms require sub-second settlement, deterministic consistency, and absolute auditability. Every operation is idempotent — safe to retry. Double-entry bookkeeping ensures no money is created or destroyed. The entire system is designed around the assumption that any node can fail at any time.

💸
Payment Processing Engine
Idempotent transaction IDs prevent double-charges. Synchronous card auth in <200ms. Async settlement via ACH/SWIFT/SEPA rails.
🕵️
Real-Time Fraud Detection
ML scoring on every transaction in <50ms. Feature store with 300+ signals: velocity, geo, device fingerprint, behavioural biometrics.
📒
Immutable Ledger
Append-only double-entry journal. Each debit matches a credit. Cryptographic hash chaining for tamper evidence. Full audit trail.
🔐
PCI-DSS Vault
Card data tokenised at ingestion. Raw PANs never touch application servers. HSM-backed key management. Point-to-point encryption.
🌐
Open Banking APIs
PSD2/FDX compliant REST APIs with OAuth 2.0 PKCE. TPP registry, consent management, and strong customer authentication (SCA).
Digital Wallets Card Processing Core Banking Open Banking Crypto Exchanges
🔒
Tokenisation & Encryption
Format-preserving encryption (FPE) for PAN tokenisation. Vault-per-merchant isolation. HSM-backed key lifecycle. P2PE certified terminals.
HSMP2PEPCI-DSS
Real-Time Payments
ISO 20022 message format. Faster Payments, SEPA Instant, RTP rail integration. Sub-second end-to-end confirmation with idempotency keys.
ISO 20022RTP
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Fraud & AML
Graph neural networks detect money-laundering rings. Rule engine + ML ensemble scoring. SAR filing automation. OFAC screening on every transaction.
MLAMLKYC
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Immutable Ledger
Append-only event store. Every debit has a matching credit. Merkle hash chaining for tamper-evident history. Regulatory reporting from read replicas.
CQRSEvent Store
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Open Banking APIs
PSD2, CDR, and FDX compliant. Dynamic client registration. Consent management dashboard. SCA with FIDO2/WebAuthn for strong authentication.
PSD2OAuth2
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Regulatory & Compliance
Automated regulatory reporting for SOX, GDPR, DORA, and Basel III. Compliance-as-code with policy guardrails. Immutable audit logs retained 7 years.
SOXDORAGDPR