Case Study 
Created Production-Grade Scalable Deployments
With the use of GitLab, Amazon Web Services and Terraform (Infrastructure as Code).
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How was the Idea Born?
Powered by Mooglelabs team made DevOps deployment automation happen with the AWS, Terraform, and Docker for the best infrastructure introduced to the businesses processes.
Project Calls For The Much-improved Business Metadata
Earlier, companies were trying to save time, cost, and simpler infrastructure of their business workflows. With the help of the deployment of AWS within our solution, we've cut down the time that was needed to build a new application structure by around 99%. Our Mooglelabs team considers the building blocks to bring out the actual intent as we'd drive instantaneous virtual infrastructure with the AWS.
Process
In the Sparkseeker Infrastructure we made three environments
Dev Environment
Stage Environment
Production Environment
To set up an infrastructure in AWS account using terraform we included:
Service
A service in ECS allows to run and maintain a specified number of instances of a task definition.
Task
An instance of a task definition running on a container instance. The key difference is that task definitions.
Container
A Docker container that is executed as part of a task.
Security Groups
Created a security group to allow port 80,443 on inbound and created a security group.
FIFO queues
High Throughput, Exactly-Once Processing, and First-In-First-Out Delivery.
AWS CodeBuild
For the build, we needed Docker. We used buildspec.yaml file-for different environments with Dockerfile.
ECR
Amazon Elastic Container Registry (Amazon ECR) is a fully managed Docker container registry.
ECS
The cluster is a skeleton structure around which we build and operate workloads.
React-Native Build Deployment in Sparkseeker using Terraform
Overview
There are two react native CI/CD pipelines for two different environments: dev environment and stage environment. We use GitLab Repositories for the code. The two pipelines named are:
React_native_dev
React_native_stage
Requirements
AWS Account
Terraform
Process
Script is made using terraform templates consists of S3 bucket, iam roles and policies, codebuild, codepipeline and buildspec.yaml file.
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How our efforts took Centerstage?
We created production
Grade scalable deployments with GitLab, EC2, ALB, ECS, ECR, VPC, S3, and Infrastructure as Code (IaC).
We set up professional
Administered development workflows based on GitLab Flow to automate the processes and speed up the deployments.
We made terraform scripts
Scripts are created using terraform templates for whole infrastructure consists of iam roles and policies, S3 bucket, codebuild, codepipeline and buildspec.yaml file.
We defined Infrastructure as
Code using Terraform to smoothly generate and destroy the environment.
We well-managed and
An AWS account in accordance with best practices to combat the risks.
We deployed infrastructure
With Terraform to match the configuration requirement.
We designed an
Architecture that is scalable, secure, resilient, and facilitates zero-downtime deployments.
We used Multiple
Environment-based infrastructure and use AWS ECS for deployment.
How will it help your business?
This solution will help automate your software release process while allowing you to rapidly release new features.
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Insights
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