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 two environments

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

Cluster: 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 GitHub 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.

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

For the CI/CD pipeline to automate the deployments using GitHub repositories for our code.

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 infrastructures and made ECS for deployment.

Drug Compound Analysis

Detecting the extent of screen damage in mobile phones

Intent Classification and Sentiment Analysis of Text Data

Employee Attrition Prediction Model with Machine Learning

Artificial Intelligence

Machine Learning

DevOps

Data Analytics

Blockchain

Metaverse Development Services

Created Production-Grade Scalable Deployments

How was the Idea Born?

Project Calls For The Much-improved Business Metadata