1. Project Overview

Associative was engaged to execute an end-to-end cloud infrastructure modernization and serverless migration on Google Cloud Platform (GCP) for a digital agency. The primary goal was to replace costly, hard-to-maintain legacy dedicated virtual servers with a modern, auto-scaling, highly resilient serverless infrastructure while ensuring zero downtime during data and service migration.

2. Project Timeline & Team Allocation

Timeline Breakdown

• Development & Migration Phase: 3 Months

• Testing, QA & Security Hardening Phase: 1 Month

• Total Project Duration: 4 Months

Dedicated Team Composition (7 Members)

• 1 Lead Cloud & Solutions Architect: Overall serverless architecture design, security policies, and technical roadmap.

• 2 Senior DevOps & Cloud Engineers: Terraform IaC scripting, Docker containerization, and GitHub Actions CI/CD automation.

• 2 Backend Serverless Developers: Refactoring APIs, microservices integration, and event-driven function development using Node.js, Python, and Go.

• 1 QA & Automation Test Engineer: End-to-end automated API testing, load testing, and regression suite execution using Cypress and Selenium.

• 1 Technical Project Manager: Sprint planning, client coordination, milestone delivery, and risk management.

3. Technologies & Tools Used

Cloud Infrastructure & Serverless Ecosystem

• Google Cloud Platform (GCP):

  • Google Cloud Run: For running stateless, containerized microservices with auto-scaling.

  • Google Cloud Functions: For lightweight, event-driven background triggers and asynchronous workloads.

  • Google Cloud SQL (PostgreSQL & MySQL): Fully managed relational database engine.

  • Google Cloud Storage (GCS): Scalable object storage for assets and backups.

  • Google Eventarc & Pub/Sub: Asynchronous event routing and message queuing.

  • Google Cloud Monitoring & Cloud Logging: Real-time observability, telemetry, and alerts.

  • Google Secret Manager & Cloud IAM: Secure credential storage and granular role-based access control.

DevOps, Containerization & Infrastructure as Code (IaC)

• Terraform: Declarative Infrastructure as Code for automated GCP provisioning.

• Docker: Containerization of backend services.

• GitHub Actions: Multi-stage automated CI/CD build, test, and deployment pipelines.

• Zero Trust Architecture: Strict identity verification and network security isolation.

Backend & API Frameworks

• Node.js (NestJS & Express.js)

• Python (FastAPI)

• Go (Golang)

Databases & In-Memory Caching

• PostgreSQL / MySQL

• Redis: High-speed in-memory caching and session management.

Testing & Quality Assurance (QA)

• Selenium & Cypress: Automated regression and functional end-to-end testing.

• Postman: API contract validation and automated integration test collections.

• k6 / Artillery: High-concurrency performance and stress testing.

4. Detailed Tasks & Engineering Implementation

The project was executed methodically across seven comprehensive work streams:

Task 1: Discovery, Codebase Assessment & Architecture Blueprinting

• Conducted a thorough architectural audit of the client’s existing monolithic server infrastructure and application dependencies.

• Identified bottlenecks, stateful components, and high-resource operations.

• Formulated a decoupled, event-driven serverless target architecture leveraging Google Cloud Run and Google Cloud Functions.

Task 2: Automated Infrastructure as Code (IaC) Provisioning

• Wrote modular, reusable Terraform scripts to automate the creation of all GCP resources.

• Set up isolated environments (Development, Staging, and Production) with identical configurations to avoid configuration drift.

• Configured Virtual Private Cloud (VPC) peering, serverless VPC access connectors, and firewall rules.

Task 3: Backend Refactoring & Containerization

• Refactored monolithic codebases into modular, stateless microservices using Node.js, Python (FastAPI), and Go.

• Dockerized each microservice into lightweight container images optimized for quick startup times on Google Cloud Run.

• Implemented asynchronous background jobs and data pipelines using Google Cloud Functions and Pub/Sub.

Task 4: Database Modernization & Caching Layer Setup

• Set up a managed Google Cloud SQL instance with automated failover, automated backups, and read replicas.

• Migrated existing relational databases with zero data loss using continuous data synchronization.

• Configured a Redis caching layer to handle high-frequency reads, reducing database load and speeding up API response times.

Task 5: DevSecOps & Automated CI/CD Pipelines

• Built automated GitHub Actions workflows for continuous integration and automated testing.

• Created deployment workflows to automatically build Docker images, scan for security vulnerabilities, push to Google Artifact Registry, and deploy to Cloud Run.

• Integrated Google Secret Manager to securely inject environment variables and API keys during deployment.

Task 6: Rigorous Testing, QA Automation & Benchmarking

• Created automated regression test suites using Cypress and Selenium to verify application workflows.

• Conducted high-volume load and stress testing to validate serverless cold starts, auto-scaling thresholds, and maximum concurrency handling.

• Verified Zero Trust network access policies, IAM permissions, and database encryption at rest and in transit.

Task 7: Production Cutover, Live Monitoring & Knowledge Transfer

• Executed a zero-downtime DNS switchover to route production traffic to the new GCP serverless environment.

• Configured custom dashboards in Google Cloud Monitoring and set up automated alert notifications.

• Prepared comprehensive technical documentation, architecture diagrams, and runbooks for client handover.

5. Key Results & Deliverables

• Zero Downtime Migration: The entire database and application traffic migration was completed without any service interruption.

• Substantial Cost Savings: Shifted from high fixed monthly server costs to a flexible pay-per-use serverless pricing model, lowering monthly cloud infrastructure bills.

• Instant Auto-Scaling: System automatically handles traffic surges without manual intervention and scales down to zero during idle periods.

• Rapid Deployment Cycles: Feature deployment time dropped from hours to a few minutes through automated CI/CD pipelines.

About Associative

Associative is a premier full-service software development firm headquartered in Pune, Maharashtra, India. Established on February 1, 2021, Associative is formally registered with the Registrar of Firms (ROF), Pune. We operate on the solid principles of innovation, unyielding transparency, and absolute engineering excellence.

We cater to a diverse global clientele ranging from ambitious startups needing Minimum Viable Products (MVPs) to large enterprises seeking complex digital transformation.

Official Accreditations & Partnerships

• Adobe Silver Solution Partner

• Adobe Certified Reseller

• Official Reseller Partner of Strapi

Comprehensive Technology Capabilities

• Cloud & DevOps: Managed Google Cloud Platform (GCP), Managed Amazon Web Services (AWS), Microsoft Azure, Docker, Kubernetes, Terraform, Jenkins, and GitHub Actions.

• Backend Systems: Node.js, Python (Django, Flask, FastAPI), Go (Golang), Rust, Java (Spring Boot), PHP (Laravel).

• Frontend & Mobile: React, Next.js, Angular, Vue.js, Flutter, React Native, Swift, SwiftUI.

• AI & Modern Data: PostgreSQL, MySQL, Redis, MongoDB, PyTorch, LangChain, LangGraph, and Agentic AI workflows.

Contact Information

• Address: Khandve Complex, Yojana Nagar, Lohegaon – Wagholi Road, Lohegaon, Pune, Maharashtra, India – 411047

• Office Hours: 10:00 AM IST to 8:00 PM IST

• Google Search: Search “Associative Pune”

• WhatsApp: +91 9028850524

• Email: info@associative.in