FinOps and MLOps platform to run ML/AI and regular cloud workloads with optimal performance and cost.
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Updated
May 2, 2024 - Python
Amazon Web Services (AWS) is a subsidiary of Amazon.com that provides on-demand cloud computing platforms to individuals, companies, and governments, on a subscription basis. Compute, storage, database, networking, security, management & developer tools, AI & machine learning, analytics, etc. are some of the primary aspects of AWS.
FinOps and MLOps platform to run ML/AI and regular cloud workloads with optimal performance and cost.
Manage your system configuration files in the cloud
Automated creation of GitHub Repositories with optional Cloud Access.
This project aims to deliver a stylish and efficient e-commerce experience for women's fashion, all powered by the symphony of DevOps automation. We'll be implementing a streamlined CI/CD pipeline using industry-leading tools like Jenkins for continuous integration, Docker for containerized deployments, and Kubernetes for orchestration on the AWS.
Terraform module used to provision pipeline access for the landing zone accelerator
-Projeto de um ecommerce criado a partir do Django, e usando serviços de mensageria com RabbitMQ e simulação de bucket para salvar objetos usando o Minio, além de um banco de dados containerizado com Docker, Docker Compose e Mysql
An up-to-date export of cloud provider IP address ranges
Serverless app for aggregating tweets and sending them daily by email. Built with AWS Lambda, DynamoDB, ElastiCache and SQS.
Creates and provisions a collections of CIS 1.4.0 backed cloudwatch alarms.
Terraform Project Template for Service Discovery in ECS Clusters with EC2 and Fargate
Terraform turnup automation for the EKS Kubernetes clusters that host GOV.UK. See https://github.com/alphagov/govuk-helm-charts for application config.
Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.
Boilerplate for sending emails using Amazon Simple Email Service (SES) with TypeScript ready for deployment to AWS using low-cost, highly scaleable serverless infrastructure defined using Terraform.
This project contains examples how to use AWS CDK autoscaling Gitlab Runner.
Директен превод на Библията от KJV хостван в AWS S3 уебсайт
Boilerplate for configuring AWS S3 using Terraform and connecting to buckets using TypeScript.
Released March 2006