SkaleHigh
MarTechCloud Architecture & DevOps

Infrastructure Modernization for SurgeGrowth.io

How we helped a marketing technology company achieve 99.99% uptime and 80% faster deployments

SurgeGrowth.io
Client
SurgeGrowth.io
Industry
MarTech
Service
Cloud Architecture & DevOps
Project Timeline
6 months

Cloud Infrastructure Modernization

Scalable, efficient infrastructure that powers high-traffic marketing campaigns with 99.99% uptime

ContainerizationCloud MigrationCI/CD Pipelines

The Context

SurgeGrowth.io is a fast-growing marketing technology company helping businesses scale through personalized growth strategies and data-driven campaign execution. As a platform powering high-traffic campaigns and dynamically generated websites, their goals were clear: improve deployment velocity, enhance service reliability, and modernize their infrastructure to handle rapid scaling.

SurgeGrowth.io approached us as they were facing critical scalability issues with their legacy setup. Their existing infrastructure had become increasingly fragile, with manual deployments, slow rollouts, and an aging database that struggled under growing demand. They needed a trusted partner to lead a full infrastructure overhaul, with a focus on cloud modernization and DevOps best practices.

The Challenge

During our initial assessment, we identified several critical challenges:

  • Fragmented Infrastructure: Services were spread across inconsistent environments with manual deployment processes
  • Database Bottlenecks: Legacy database architecture was underperforming, limiting platform scalability
  • Slow Time to Market: Lack of automation meant that updates and new websites took significant time to launch
  • Scalability Risks: High-traffic marketing campaigns led to unpredictable demand spikes, causing instability
  • Resource Management: Without containerization, resource utilization was inefficient and costly

Our Approach

Comprehensive Infrastructure Audit

We began with a thorough analysis of SurgeGrowth.io's existing infrastructure, workflows, and deployment processes. This allowed us to identify pain points, inefficiencies, and opportunities for improvement while gaining a deep understanding of their technical landscape.

Cloud-Native Architecture Design

We worked closely with their engineering leadership to understand their growth roadmap, reliability needs, and team workflows. Based on these insights, we designed a cloud-native architecture that prioritized scalability, automation, and developer autonomy while ensuring seamless integration with existing systems.

Phased Implementation Strategy

Rather than attempting a high-risk "big bang" migration, we developed a phased implementation plan that would allow for incremental improvements while maintaining system stability. This approach enabled us to deliver value quickly while minimizing disruption to SurgeGrowth.io's operations.

Our Solution

We implemented a comprehensive solution that transformed SurgeGrowth.io's infrastructure:

Containerization

We dockerized multiple production services to enable consistent, portable deployments across environments, significantly improving development workflows and runtime efficiency.

Cloud Migrations

We migrated their database to Google Cloud SQL for better scalability and managed backups, while transitioning services to GCP Cloud Run and AWS Lambda to ensure elastic, serverless computing capabilities.

Custom Routing Engine

We built a custom URL routing engine using AWS Lambda and S3, enabling the hosting of auto-generated website assets with near-instant resolution while minimizing API overhead and storage costs.

CI/CD Pipelines

We set up continuous deployment pipelines leveraging GCP Cloud Build for microservices and automated website deployments via AWS Amplify, dramatically speeding up go-to-market timelines.

Implementation Highlights

The implementation process was characterized by several key achievements that ensured project success:

  • Performing a live database migration from legacy systems to Google Cloud SQL with zero downtime
  • Deploying stateless services on GCP Cloud Run with intelligent scaling policies to handle traffic spikes
  • Designing a Lambda function backed by S3 to serve website assets dynamically based on custom routing logic
  • Developing reusable deployment pipelines using Cloud Build triggers to automate build, test, and deployment processes
  • Streamlining environments for development, staging, and production with clear workflows for releases and rollbacks

Implementation Process

Phase 1: Dockerization

We began by containerizing all critical services, writing Dockerfiles optimized for both build time and runtime efficiency, creating a foundation for consistent deployment across environments.

Key Achievements:
  • • Standardized environments with consistent configurations
  • • Eliminated "works on my machine" deployment issues
  • • Created optimized multi-stage builds for efficiency

Phase 2: Database Migration & Cloud Transition

We performed a live migration of production data from the legacy system to Google Cloud SQL with zero downtime, while transitioning services to serverless cloud platforms for better scalability.

Key Achievements:
  • • Zero-downtime migration to Google Cloud SQL
  • • Improved database performance and reliability
  • • Implemented serverless architecture for elastic scaling

Phase 3: Routing Engine & CI/CD Implementation

We designed and built a custom URL routing engine using AWS Lambda and S3 for website assets, while simultaneously implementing comprehensive CI/CD pipelines to automate the deployment process.

Key Achievements:
  • • Implemented dynamic asset serving with minimal latency
  • • Created automated deployment pipelines with GCP Cloud Build
  • • Reduced deployment time from days to minutes
  • • Established environment-specific deployment workflows

Results & Impact

80%

Faster deployments with new services and updates going live in minutes instead of days

50%

Infrastructure cost savings through serverless computing and optimized resource utilization

99.99%

Uptime achieved across services, even during high-traffic campaign periods

Business Impact

The infrastructure modernization delivered several significant benefits to SurgeGrowth.io:

  • Dramatically improved deployment velocity, enabling faster time to market for new features
  • Enhanced reliability and availability, even during unpredictable traffic spikes
  • Substantial cost savings through more efficient resource utilization
  • Improved developer experience, with engineers now able to push to production with confidence
  • Better customer experience with faster page loads and consistent availability

The infrastructure improvements directly impacted SurgeGrowth.io's bottom line, as faster website performance and higher availability translated into improved campaign conversion rates for their clients.

"

Partnering with this team was a game-changer for us. They not only modernized our infrastructure but also empowered our internal teams to move faster and scale smarter. Their technical depth and strategic thinking made all the difference.

Shivam Mishra

Shivam Mishra

CTO, SurgeGrowth.io

"

Technologies Used

DockerAWS LambdaAWS S3AWS AmplifyGoogle Cloud SQLGoogle Cloud RunGCP Cloud BuildGitHub ActionsKubernetesServerlessCI/CD

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