mailitics

Category: AWS

  • AWS vs. Azure: A Deep Dive into Model Training – Part 2

    AWS vs. Azure: A Deep Dive into Model Training – Part 2 This article covers how Azure ML’s persistent, workspace-centric compute resources differ from AWS SageMaker’s on-demand, job-specific approach. Additionally, we explored environment customization options, from Azure’s curated environments and custom environments to SageMaker’s three level of customizations. The post AWS vs. Azure: A Deep…

  • Azure ML vs. AWS SageMaker: A Deep Dive into Model Training — Part 1

    Azure ML vs. AWS SageMaker: A Deep Dive into Model Training — Part 1 Compare Azure ML and AWS SageMaker for scalable model training, focusing on project setup, permission management, and data storage patterns, to align platform choices with existing cloud ecosystem and preferred MLOps workflows The post Azure ML vs. AWS SageMaker: A Deep…

  • An introduction to AWS Bedrock

    An introduction to AWS Bedrock The how, why, what and where of Amazon’s LLM access layer The post An introduction to AWS Bedrock appeared first on Towards Data Science. Thomas Reid Go to original source

  • End-to-End AWS RDS Setup with Bastion Host Using Terraform

    End-to-End AWS RDS Setup with Bastion Host Using Terraform Learn how to automate secure AWS infrastructure using Terraform — including VPC, public/private subnets, a MySQL RDS database, and a Bastion host for secure access. The post End-to-End AWS RDS Setup with Bastion Host Using Terraform appeared first on Towards Data Science. Yagmur Gulec Go to…

  • Deploy a Streamlit App to AWS

    Deploy a Streamlit App to AWS Using the Elastic Beanstalk service The post Deploy a Streamlit App to AWS appeared first on Towards Data Science. Thomas Reid Go to original source

  • From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle

    From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle A step-by-step guide to leverage AWS services for efficient data pipeline automation The post From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle appeared first on Towards Data Science. Jiayan Yin Go to original…

  • Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack

    Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack Have you ever wanted to pause an automated workflow to wait for a human decision? Maybe you need approval before provisioning cloud resources, promoting a machine learning model to production, or charging a customer’s credit card. In many data science and machine learning…

  • AWS: Deploying a FastAPI App on EC2 in Minutes

    AWS: Deploying a FastAPI App on EC2 in Minutes Introduction AWS is a popular cloud provider that enables the deployment and scaling of large applications. Mastering at least one cloud platform is an essential skill for software engineers and data scientists. Running an application locally is not enough to make it usable in production — it…

  • Beginner’s Guide to Creating a S3 Storage on AWS

    Beginner’s Guide to Creating a S3 Storage on AWS Introduction AWS is a well-known cloud provider whose primary goal is to allocate server resources for software engineers to deploy their applications. AWS offers many services, one of which is EC2, providing virtual machines for running software applications in the cloud. However, for data-intensive applications, storing…