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SAAS CI CD

  • Writer: Anand Nerurkar
    Anand Nerurkar
  • Apr 27
  • 5 min read

Updated: Apr 29

how does ci cd piple line work for multi tenant saas platform


In a multi-tenant SaaS platform, the CI/CD pipeline needs to be thoughtfully architected to support tenant-specific configurations, data isolation, scalability, and safe deployments.


Here's a structured breakdown of how CI/CD typically works in this scenario:

🚀 CI/CD Pipeline for Multi-Tenant SaaS Platform

🔧 1. Code Repository Setup (e.g., GitHub)

  • Single codebase with tenant-specific logic handled via configurations or feature flags.

  • Branching strategy:

    • main/develop for core features.

    • Tenant-specific feature branches if needed.


🔄 2. CI Stage (Build & Test)

Goals: Validate that the application works across all tenants.

  • Unit Tests: Generic and tenant-specific logic.

  • Multi-Tenant Test Matrix: Run integration tests for representative tenant configurations.

  • Static Code Analysis: SonarQube, Checkmarx, etc.

  • Security Scanning: Snyk, Trivy for container and dependency scanning.

Tools: GitHub Actions / Jenkins / GitLab CI


🧪 3. Artifact Packaging

  • Build Docker images tagged by version and tenant-specific identifiers if needed.

  • Push to container registry (e.g., ECR, ACR, GCR).

  • Generate tenant-specific environment artifacts (e.g., values-tenant1.yaml for Helm).


🚀 4. CD Stage (Deployments)

There are two primary patterns for deploying in a multi-tenant SaaS:

📦 a. Single Deployment Model (Shared Everything / Shared App)
  • Same app instance runs for multiple tenants.

  • Deployment is done once.

  • Tenant routing handled via config, headers, subdomains.

✅ Pros: Cost-efficient, easier to manage⚠️ Challenges: High complexity for config management, risk of tenant noise


🧱 b. Isolated Deployment Model (Per-Tenant Deployments)
  • Separate Kubernetes namespaces / containers / instances per tenant.

  • Deployment pipeline loops through tenants:

    yaml


    for tenant in tenant_list: deploy --values=values-${tenant}.yaml

✅ Pros: High isolation, better for premium/regulated tenants⚠️ Challenges: Operational overhead, cost


🔄 5. Tenant-Aware Configuration Management

  • Use config-as-code:

    • Tenant-specific values in Git (config/tenant1/, config/tenant2/)

    • Store in Secrets Manager / SSM / Vault.

  • Feature flag services like LaunchDarkly or Unleash for rollout.


🧪 6. Environment Promotion Strategy

  • Dev → QA → Staging → Production

  • Canary deployments with tenant-specific traffic monitoring.

  • Blue/Green or Rolling update strategies.

  • Tenant-specific smoke tests post-deploy.


📊 7. Observability & Rollback

  • Dashboards and logs segmented by tenant.

  • Distributed tracing (e.g., OpenTelemetry) includes tenant context.

  • Rollback automation: Revert only impacted tenant if isolated.


🔐 8. Governance, Audit & Compliance

  • CI/CD audit trails: who deployed what for which tenant.

  • Fine-grained access control (e.g., least privilege for tenant pipelines).

  • Integrate with compliance checks (e.g., SOC2, ISO).


📌 Sample Tech Stack

Stage

Tools

CI

GitHub Actions, Jenkins, SonarQube

CD

ArgoCD, Spinnaker, Helm, Terraform

Observability

Prometheus, Grafana, ELK, Jaeger

Secrets Mgmt

Vault, AWS SSM, Azure Key Vault


🧪🎬 Demo Walkthrough: Single-Tenant Deployment (ICICI Bank)

🔹 Step 1: Trigger Build

  • Developer commits new features specific to ICICI Bank (e.g., customized onboarding flow) to the develop branch or tenant/icici branch.

  • GitHub Actions/Jenkins triggers the pipeline.

🔹 Step 2: CI Pipeline Execution

  • Unit Tests run against a configuration matrix, picking ICICI-specific values from the config/icici/ directory.

  • Static & Security Scanning (SonarQube, Trivy) ensures code quality and compliance.

🔹 Step 3: Artifact Build

  • Docker image is created and tagged:

    makefile

    ukg-banking-onboarding:1.3.0-icici

  • Helm values specific to ICICI are generated:

    bash

    helm/icici/values.yaml

🔹 Step 4: CD Pipeline - ICICI Namespace

  • Namespace-based isolation in AKS:

    lua


    kubectl create ns icici-bank

  • ArgoCD deploys services to icici-bank namespace using ICICI-specific Helm values.

  • Secrets are injected from Vault (e.g., vault/icici/db-creds, vault/icici/api-keys).

🔹 Step 5: Post-Deploy Validations

  • Automated smoke tests validate login, account summary, and onboarding APIs for ICICI.

  • Custom validation hook ensures:

    • UPI integration

    • ICICI's theme/branding

    • RBI reporting endpoints

🔹 Step 6: Monitoring & Feedback Loop

  • Logs and metrics are tenant-tagged (e.g., tenant=icici in Prometheus/Grafana).

  • Alerts and dashboards scoped to ICICI team.

  • Canary checks validate rollback readiness.

🔹 Step 7: Tenant-Specific Rollout

  • Canary deployment (10% → 50% → 100%) if enabled.

  • Feature flags (e.g., LaunchDarkly) allow toggling specific flows for ICICI only.

🔐 Governance Snapshot

  • Deployment audit trail with tenant-specific scope.

  • RBAC ensures only ICICI-deployment team has access.

  • Vault policies enforce isolation on secrets.


Result: ICICI Bank receives a zero-downtime, secure, tenant-specific update with full visibility and rollback safety.



Personal Banking Saas Case Study

📊 Case Study: Multi-Tenant SaaS Platform for Personal Banking

🏦 Use Case Overview

A cloud-native, multi-tenant SaaS platform for personal banking serving tenants like ICICI and HDFC Bank. Supports services such as:

  • Digital onboarding

  • Loan origination

  • Wealth and mutual fund management

  • Fraud detection

  • Customer support (chatbot/agent)


🎯 Business Objectives

  • Deliver cost-effective shared infrastructure with secure tenant isolation

  • Scale with tenant growth while maintaining performance

  • Meet compliance, privacy, and audit requirements (e.g., RBI, SEBI)


🧱 Architecture Highlights

  • Frontend: React micro-frontends with tenant-aware routing

  • Backend: Spring Boot microservices

  • Database: Postgres + MongoDB, tenant-isolated

  • Messaging: Kafka + NATS

  • AI/ML: Fraud detection, recommendation engine

  • API Gateway: Azure API Management with OAuth2, rate limiting

  • Hosting: Azure Kubernetes Service (AKS)


🔁 Multi-Tenant CI/CD Pipeline

🔧 1. Code Repository

  • Single codebase with feature flags or config per tenant

  • Branching: main, develop, and optional tenant-specific branches

🔄 2. CI Stage

  • Run tests with tenant config matrix

  • Static & security analysis (SonarQube, Trivy)

📦 3. Artifact Packaging

  • Docker images tagged with versions and tenant IDs

  • Helm chart values per tenant

🚀 4. CD Stage

Shared Deployment Model:

  • Deploy once with tenant-aware routing and config

Isolated Deployment Model:

  • Deploy per tenant to separate K8s namespaces

🔄 5. Config Management

  • GitOps with tenant config stored in separate directories

  • Use AWS SSM / Vault for secrets

  • Feature flags (LaunchDarkly/Unleash)

🧪 6. Promotion Strategy

  • Dev → QA → UAT → Prod

  • Canary, blue/green or rolling updates

  • Tenant-specific post-deploy validations

📊 7. Observability & Rollbacks

  • Tenant-tagged logs, metrics, traces

  • Auto rollback with impact scope analysis

🔐 8. Governance

  • CI/CD audit logs

  • Access control per tenant or deployment scope

Tools: GitHub Actions, Jenkins, ArgoCD, Helm, Prometheus, Grafana, Vault


🧪🎬 Demo Walkthrough: Single-Tenant Deployment (ICICI Bank)

🔹 Step 1: Trigger Build

  • Developer commits new features specific to ICICI Bank to the develop branch or tenant/icici branch.

  • GitHub Actions/Jenkins triggers the pipeline.

🔹 Step 2: CI Pipeline Execution

  • Unit Tests run against ICICI-specific config from config/icici/.

  • Static & Security Scanning ensures compliance.

🔹 Step 3: Artifact Build

  • Docker image: ukg-banking-onboarding:1.3.0-icici

  • Helm values from helm/icici/values.yaml

🔹 Step 4: CD Pipeline - ICICI Namespace

  • Namespace created: kubectl create ns icici-bank

  • ArgoCD deploys to icici-bank namespace

  • Vault injects secrets like vault/icici/db-creds

🔹 Step 5: Post-Deploy Validations

  • Smoke tests validate ICICI login, onboarding APIs

  • Hooks check UPI, branding, RBI endpoints

🔹 Step 6: Monitoring & Feedback Loop

  • Logs and metrics tagged tenant=icici

  • ICICI-specific dashboards and alerts

🔹 Step 7: Tenant-Specific Rollout

  • Canary rollout with feature flags enabled per ICICI

🔐 Governance Snapshot

  • Tenant-scoped deployment logs

  • RBAC limits to ICICI team

  • Vault policies enforce isolation

✅ Result: Secure, zero-downtime, tenant-specific update for ICICI Bank

📈 Benefits Delivered

  • 40% reduction in ops overhead via GitOps automation

  • Zero downtime deployment with tenant impact shielding

  • Tenant-specific rollout control enabling faster adoption



 
 
 

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