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Basics of the Basics to AWS – Part 2: Storage

2024-05-29T01:08:01+00:00

Every application contains instructions made up of bytes and we want to make sure that these are kept safe in a secure storage system. When building applications on the cloud, it's beneficial to know about the different types of storage systems to pick the right tool for the job. Welcome to part 2 of my 6-part series called Basics of the Basics to AWS, where I introduce you to AWS by breaking it down into smaller digestible concepts related to software development.  In this article, I will be talking about AWS Storage Options. Before we proceed with the services, we’ll [...]

Basics of the Basics to AWS – Part 2: Storage2024-05-29T01:08:01+00:00

AWS for Students, Exploring Cloud Solutions

2024-05-03T09:23:02+00:00

AWS extends far beyond just Lambda functions, providing an extensive range of vital services for learning and skill development. Throughout this blog, we will explore how Amazon Web Services (AWS) can benefit students interested in cloud computing as we cover various AWS services and their practical applications, helping them effectively leverage the opportunities it presents for aspiring professionals in the field of cloud computing. Starting off with examining AWS storage solutions like Amazon S3, which allow easy, secure data storage and retrieval. This service is crucial for collaborative projects and simplifies the management of large datasets. With this, AWS provides [...]

AWS for Students, Exploring Cloud Solutions2024-05-03T09:23:02+00:00

Amazon Q

2024-04-25T06:52:12+00:00

Bookmarks Features Sub-modules Pricing References Amazon Q Cheat Sheet Amazon Q is an AI assistant that’s designed to be generative, meaning it can generate content, solve problems, and perform tasks using the data and expertise within your company. Use Cases Amazon Q is designed to provide quick and relevant answers to questions, streamline tasks, speed up decision-making, and foster creativity and innovation at work. Types Amazon Q Business: This version of Amazon Q can be customized to your business by connecting it to your company’s data, information, and systems. Amazon Q Developer: This version [...]

Amazon Q2024-04-25T06:52:12+00:00

AWS Glue DataBrew

2024-04-12T14:30:21+00:00

Bookmarks Features Components Pricing References AWS Glue DataBrew Cheat Sheet AWS Glue DataBrew is a tool designed to streamline your data analysis process. It allows you to interact with your data directly, eliminating the need for complex coding. With its extensive library of over 250 pre-built transformations, you can easily clean, normalize, and format your data, preparing it for insightful analysis. AWS Glue DataBrew is commonly used for: Reducing the time required to prepare data for analytics and machine learning. Automating data preparation tasks with a wide range of ready-made transformations. Facilitating collaboration [...]

AWS Glue DataBrew2024-04-12T14:30:21+00:00

Building Data Pipelines with No-Code ETL Using AWS Glue Studio

2024-04-03T00:33:32+00:00

Introduction Welcome to the dynamic world of AWS Data Engineering! This beginner-friendly guide introduces you to the essentials of data staging and transformation within the AWS ecosystem without needing to code. By exploring the foundational use of Amazon S3 and AWS Glue, this guide provides a practical starting point for understanding how AWS data is handled and processed. Whether you're aiming for certification or looking to apply these skills in practical scenarios, this guide sets the groundwork for your future in data engineering. Preparation: Navigating Through Sample Datasets In this article, we'll work with 3 main datasets for a fictional [...]

Building Data Pipelines with No-Code ETL Using AWS Glue Studio2024-04-03T00:33:32+00:00

VPC Interface Endpoint vs. Gateway Endpoint in AWS

2024-02-16T03:44:21+00:00

What is a VPC Endpoint? With a VPC endpoint, you can establish a private connection to specific AWS services and VPC endpoint services through AWS PrivateLink. It eliminates the need for public IP addresses for communication between these services and your Amazon VPC instances. Furthermore, a secure connection is maintained since no information leaves the Amazon network while traveling between your Amazon VPC and the service. VPC endpoints are virtual devices that enable communication between instances in an Amazon VPC and various services. These endpoints enhance network traffic without compromising availability or restricting bandwidth. They are designed to scale horizontally, [...]

VPC Interface Endpoint vs. Gateway Endpoint in AWS2024-02-16T03:44:21+00:00

Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions

2024-01-24T01:07:44+00:00

This is the final part of a three-part article about a Web Application Project from building a private infrastructure to building a deployment pipeline using AWS’ cloud-native continuous delivery service AWS CodePipeline, and now finalizing the infrastructure to be accessible in a public domain and building a pipeline for continuous deployment using a third-party CD tool – GitHub Actions. From the private infrastructure previously built, we will update the S3 policy to add a statement for an allowed action for the CloudFront resource. As best practice, this statement will be added to the Terraform script of the infrastructure to make it [...]

Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions2024-01-24T01:07:44+00:00

Building a Deployment Pipeline for a React Application with AWS CodePipeline

2024-01-07T02:48:10+00:00

This is the second part of a series of blogs about the platform management of a React Application infrastructure by adding a continuous deployment component to the earlier infrastructure. In an earlier article, I wrote about how a private react application infrastructure can be deployed with Terraform code. Now, we will explore this further by building a deployment pipeline using AWS CodePipeline. Let's assume that the source code of the React web application is hosted on GitHub. Using the GitHub connections feature of AWS CodePipeline, we can authorize the third-party provider to work with AWS resources to establish integration between [...]

Building a Deployment Pipeline for a React Application with AWS CodePipeline2024-01-07T02:48:10+00:00

Amazon Kendra

2024-03-23T06:15:27+00:00

Bookmarks Features Benefits Use Cases Document Types and Formats Supported Data Sources Querying Data Use of Tags Pricing Amazon Kendra Cheat Sheet Amazon Kendra is a highly scalable, intelligent enterprise search service. It utilizes machine learning to search unstructured data and improve accuracy in search results. It’s tightly integrated with other AWS services, such as Amazon S3 and Amazon Lex. It offers enterprise-grade security. Features Natural Language Processing (NLP): Amazon Kendra uses NLP to get highly accurate answers without the need for machine learning (ML) expertise. Fine-tuning Search Results: [...]

Amazon Kendra2024-03-23T06:15:27+00:00

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