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CASE STUDY

SaaS DevOps Transformation

Implemented automated CI/CD pipelines, SLO metrics, and observability stack.

Industry: SaaS
Region: Global
Services: Cloud, DevOps
Duration: 6 months
BUSINESS IMPACT
Faster
Deploy Time
Reduced
MTTR
5x
Release Frequency
Success
Verified Outcome

Overview

A leading SaaS company, with millions of daily transactions, faced challenges with scalability, system reliability, and high infrastructure costs. Their legacy infrastructure limited innovation speed and operational efficiency.

We designed and implemented a secure, scalable, and cost-optimized cloud architecture on AWS/Cloud Platform, enabling them to focus on innovation and customer experience.

The Challenge

  • -A SaaS provider struggled with slow release schedules, releasing software manually once every quarter, leading to long feedback loops.

Our Solution

  • +We fully automated their deployment pipeline using Gitlab CI and Docker containers, introducing automated testing gates to reduce risks.

The Outcome

  • Faster deploy time achieved
  • Reduced mttr achieved
  • 5x release frequency achieved
  • Enhanced security and monitoring metrics

Technology Stack

GitLab
Terraform
Cloud Services
Datadog
Docker
Kubernetes

Solution Architecture

Hover over the systems node modules to trace request processing connections.

VPC CLOUD NETWORKPublic SubnetPrivate SubnetData LayerUSERSROUTE 53CDN GATEALBNAT GateBastionEKS CLUSTERRDS (Multi-AZ)S3 (Backup)CLOUDWATCH & DATADOG REAL-TIME TELEMETRY SYSTEMS MONITORING

"Automating our release cycle using modular Terraform scripts and SRE pipelines increased our deploy frequency by 5x while slashing MTTR metrics by half."

TW

Tushar Wagle

Head of Infrastructure

Key Results

  • Infrastructure cost reduced by 40% through right-sizing.
  • Achieved Reduced system availability across multi-AZ clusters.
  • Deployment release schedules reduced from hours to minutes.
  • Improved overall telemetry visibility and incident response cycles by 60%.
  • Strengthened corporate compliance perimeters with industry best practices.

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