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AWS Device Farm

2024-04-12T13:48:53+00:00

Bookmarks Key Features Terminology Availability Device Selection Test Types Test Reports Pricing Security Reference AWS Device Farm Cheat Sheet AWS Device Farm allows you to examine and interact with your Android, iOS, and web applications on actual, physical devices maintained by Amazon Web Services (AWS). Key Features Automated App Testing - Device Farm provides the functionality to either upload your personalized tests or utilize the pre-existing, script-free compatibility tests. The testing process is executed concurrently, which enables tests on various devices to commence within minutes. Upon the completion [...]

AWS Device Farm2024-04-12T13:48:53+00:00

AWS Well-Architected Tool

2024-03-23T07:02:34+00:00

Bookmarks Key Components Using the Tool Best Practices  Benefits Reference AWS Well-Architected Tool Cheat Sheet The AWS Well-Architected Tool is a service that helps you review your workloads and compares them to the latest AWS architectural best practices. The tool provides recommendations for making your workloads more reliable, secure, efficient, and cost-effective. Key Components Workload is a term used to describe a collection of components that collectively contribute to business value. This could range from marketing websites, e-commerce platforms, and backend for mobile applications to analytic platforms. The complexity of a workload [...]

AWS Well-Architected Tool2024-03-23T07:02:34+00:00

How I Prepared for the AWS Cloud Practitioner CLF-C02 Exam as a Data Scientist

2023-12-03T18:07:52+00:00

In the ever-evolving landscape of technology, the pursuit of knowledge and skills is not just a choice but a necessity, especially for professionals like data scientists. This realization led me to embark on a journey towards achieving the AWS Certified Cloud Practitioner CLF-C02 certification, a decision that not only expanded my technical horizons but also underscored the importance of continuous learning in the tech industry. As a data scientist, my daily encounters with vast datasets and complex algorithms had already established a solid foundation in analytics and machine learning. However, with the increasing integration of cloud technologies in data science, [...]

How I Prepared for the AWS Cloud Practitioner CLF-C02 Exam as a Data Scientist2023-12-03T18:07:52+00:00

Leveraging Amazon CloudFront with S3 and Route 53 for Subdomain Configuration

2023-11-20T06:14:26+00:00

Amazon S3 and Route 53, both provided by AWS, offer a comprehensive solution for managing and deploying web content. Route 53 allows you to create alias records that direct to the website endpoint of your S3 bucket. Meanwhile, Amazon S3 is a robust service for hosting static websites. These services, when used together, provide a powerful toolset for web content management. However, there's a key requirement when using these services together: the bucket name in S3 must be the same as the domain or subdomain hosted on Route 53. This is because when a request comes to Route 53, it [...]

Leveraging Amazon CloudFront with S3 and Route 53 for Subdomain Configuration2023-11-20T06:14:26+00:00

Setting up a Static Website on Amazon S3

2023-11-16T02:07:44+00:00

What is Amazon S3? Amazon S3, a scalable and secure object storage service, offers an efficient and cost-effective way to host static websites. In this article, I will guide you through a step-by-step process of setting up a static website on Amazon S3. Whether you're an experienced developer or a beginner just starting out, this guide will equip you with the knowledge and tools you need to launch your website successfully. So, let's dive right in and start building! Sign in to the AWS Management Console and open the Amazon S3 console. In the Buckets list, choose the name of [...]

Setting up a Static Website on Amazon S32023-11-16T02:07:44+00:00

Serverless Model Deployment in AWS: Streamlining with Lambda, Docker, and S3

2023-11-30T06:08:01+00:00

Welcome back to our series on model deployment in AWS! In the fast-paced world of machine learning and data science, the ability to deploy models efficiently and reliably is crucial. This is where AWS services, with their vast array of tools and capabilities, come into play. In this second installment, we will delve into the potent combination of AWS Lambda and Docker, coupled with the convenience of storing models in S3. This trio offers a scalable, cost-effective, and streamlined solution for deploying machine learning models in a production environment. If you recall, in the first part of our series, we [...]

Serverless Model Deployment in AWS: Streamlining with Lambda, Docker, and S32023-11-30T06:08:01+00:00

Deploying a Trained CTGAN Model on an EC2 Instance: A Step-by-Step Guide

2023-11-30T06:39:56+00:00

Welcome to the first entry in our series on deploying machine learning models in AWS. As cloud computing and machine learning continue to evolve and intersect, understanding the dynamics of deployment becomes invaluable. Whether you're an enthusiast, a budding data scientist, or a seasoned professional, the insights offered by this series are tailored to empower you to make the most of AWS's vast ecosystem. One recurrent pitfall in the journey of many machine learning beginners is the confinement of their models within the boundaries of a Jupyter notebook. Picture this: after hours or even days of data wrangling, feature engineering, [...]

Deploying a Trained CTGAN Model on an EC2 Instance: A Step-by-Step Guide2023-11-30T06:39:56+00:00

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