Amazon Web Services

This exercise guides you through the process of creating an AWS Elastic Beanstalk application. The steps involve checking out a Git repository, building a Maven project, and deploying the application to AWS Elastic Beanstalk.

MLflow plugins adding AWS RDS IAM auth for tracking and model registry stores

AWS ssm helper that integrates with native ssh configuration

WIP: AWS Parameter Store Editor

Tools for developing Yandex Cloud Functions in Python

This GitLab CI/CD component helps you easily deploy Docker Compose on AWS EC2 instances using AWS Systems Manager. It uploads your Docker Compose files to S3, creates environment files from your project’s variables, transfers them to EC2 instances using SSM, and then runs Docker Compose on the selected EC2 instances.

This GitLab CI/CD component project is designed to run scripts on EC2 instances with SSM. The scripts are uploaded to an S3 bucket and are executed from the bucket.

This exercise guides you through publishing the previously created Docker container in the cloud using Amazon Elastic Container Service.

MAGI-CHRISTI

Esse projeto reúne todas as Sprints realizadas durante o estágio na Compass.UOL. Nele, você encontrar um grande acervo de informações sobre Quality Assurance.

This GitLab CI/CD component project is designed to run a list of commands on EC2 instances with SSM.

An example of bootstrapping an EKS Kubernetes cluster via Terraform/OpenTofu.

Terraform Infrastructure Automated Provisioning and Versioning

Terraform module.

Designed and implemented CI pipelines, including automatic versioning, artifact builds, and dynamic Docker image tagging. Integrated AWS ECR credentials in Jenkins for secure management and pushing of Docker images, ensuring a robust image repository

Terraform module.

Terraform module.

A request and return system for shared mobile devices (AWS Serverless).

Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet.  

Major cloud providers:

Amazon Web Services (AWS): The largest and most comprehensive cloud provider, offering a wide range of services from compute and storage to machine learning and analytics. Google Cloud Platform (GCP): Known for its focus on data analytics, machine learning, and artificial intelligence, GCP is a popular choice for businesses that need powerful tools for data-driven insights. Microsoft Azure: A strong competitor to AWS, Azure offers a wide range of services and is particularly well-suited for businesses that already use Microsoft products. Examples of cloud computing services:

Compute: Virtual machines, serverless computing, containers Storage: Object storage, block storage, file storage Databases: Relational databases, NoSQL databases, data warehousing Networking: Virtual private clouds, load balancing, content delivery networks Machine learning: Training and deployment of machine learning models Analytics: Big data processing, data warehousing, business intelligence By using cloud computing, businesses can scale their resources up or down as needed, reduce costs, and improve flexibility.

AWS CDK templates and security audit scripts.