Case Study
Created Production-Grade Scalable Deployments
With the use of GitLab, Amazon Web Services and Terraform (Infrastructure as Code).
Get Started!
Case Study
With the use of GitLab, Amazon Web Services and Terraform (Infrastructure as Code).
Get Started!
Powered by Mooglelabs team made DevOps deployment automation happen with the AWS, Terraform, and Docker for the best infrastructure introduced to the businesses processes.
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.
In the Sparkseeker Infrastructure we made three environments
Artificial Intelligence | Machine Learning| Blockchain | DevOps| Data Visualization
To set up an infrastructure in AWS account using terraform we included:
A service in ECS allows to run and maintain a specified number of instances of a task definition.
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An instance of a task definition running on a container instance. The key difference is that task definitions
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Created a security group to allow port 80,443 on inbound and created a security group
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For the build, we needed Docker. We used buildspec.yaml file-for different environments with Dockerfile.
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Amazon Elastic Container Registry (Amazon ECR) is a fully managed Docker container registry
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Cluster: The cluster is a skeleton structure around which we build and operate workloads.
ExploreThere 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
Script is made using terraform templates consists of S3 bucket, iam roles and policies, codebuild, codepipeline and buildspec.yaml file.
Grade scalable deployments with GitLab, EC2, ALB, ECS, ECR, VPC, S3, and Infrastructure as Code (IaC).
Administered development workflows based on GitLab Flow to automate the processes and speed up the deployments.
Scripts are created using terraform templates for whole infrastructure consists of iam roles and policies, S3 bucket, codebuild, codepipeline and buildspec.yaml file.
Code using Terraform to smoothly generate and destroy the environment.
An AWS account in accordance with best practices to combat the risks.
With Terraform to match the configuration requirement.
Architecture that is scalable, secure, resilient, and facilitates zero-downtime deployments.
Environment-based infrastructure and use AWS ECS for deployment.
This solution will help automate your software release process while allowing you to rapidly release new features.
