AWS DevOps & Infrastructure Automation

Production-grade cloud deployments built to scale

Talk to DevOps Experts

Created Production-Grade Scalable Deployments

About

Industry

Cloud & DevOps

Application Type

Cloud Infrastructure Automation

Core Functionality

AWS infrastructure automation using Infrastructure as Code

The client required a production-grade, scalable deployment foundation built using DevOps services and cloud automation best practices. The objective was to design secure, resilient AWS infrastructure capable of supporting multiple environments while enabling fast, repeatable deployments.

The solution leveraged AWS DevOps services, Terraform AWS services, Docker-based containerization, and CI/CD pipeline automation. By implementing Infrastructure as Code, the platform enabled standardized provisioning of AWS resources across Dev, Stage, and Production environments, ensuring reliability, scalability, and operational consistency.

Results

AWS DevOps services delivering speed, scalability, and operational control

Infrastructure Provisioning Speed

Time to build application infrastructure reduced by approximately 99% through AWS infrastructure automation

Environment Scalability

Enabled secure, resilient deployments across Dev, Stage, and Production

Operational Consistency

Standardized infrastructure using Terraform-based Infrastructure as Code

Deployment Reliability

Automated CI/CD pipelines eliminated manual provisioning risks

Cloud Readiness

Production-grade architecture designed for long-term scale

Their expertise in AWS DevOps services and Infrastructure as Code helped us move away from manual processes and adopt a scalable, repeatable deployment model.”

Talk to Experts

Challenges

Why It Mattered

Manual infrastructure provisioning was slow, error-prone, and difficult to scale across environments. Implementing AWS infrastructure automation with Infrastructure as Code enabled faster, repeatable deployments while significantly reducing operational overhead and risk.

Our Approach-

We implemented a DevOps-driven cloud automation strategy using AWS services and Terraform.

Automated build and deployment workflows

Standardized AWS resource provisioning

Isolated Dev, Stage, and Production environments

ECS, ECR, ALB, VPC, S3, CodeBuild, and CodePipeline

Docker-based workloads for consistency and scalability

Our Tools:

CI/CD & Repositories

GitLab

Cloud Platform

AWS (ECS
ECR
ALB
VPC
S3
CodeBuild
CodePipeline)

Infrastructure as Code

Terraform

Containerization

Docker

Before & After

The transition from manual provisioning to automated AWS infrastructure transformed deployment speed, scalability, and operational consistency across all environments.

Feature / Metric	Before – Pre-Implementation	After – Post-Implementation
Infrastructure Provisioning	Manual or ad-hoc	Automated via Terraform
Time to Build Infrastructure	Significantly high	Reduced by ~99%
Scalability	Limited	Production-grade scalable architecture
Environment Setup	Complex and inconsistent	Standardized Dev/Stage/Prod
Deployment Automation	Partial or manual	CI/CD pipeline automation

Testimonial

They Delivered a DevOps Structure That Changed How We Deploy

MoogleLabs designed and implemented a robust cloud automation framework that transformed how we provision and manage AWS infrastructure. Their expertise in AWS DevOps services and Infrastructure as Code helped us move away from manual processes and adopt a scalable, repeatable deployment model. The solution significantly reduced setup time and operational risk across all environments.

— Engineering Lead, Cloud-Based Platform