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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

In-Place Querying in AWS

2023-12-13T20:20:17+00:00

When you look at the Gartner magic quadrant of cloud service providers, AWS is still the leader and the leading visionary of the cloud computing space. It offers an array of services that empower companies and organizations to manage and analyze massive sets of data with unprecedented agility. At the core of this revolution, “In-place querying” is a technique pioneered by AWS that is reshaping how data is processed in the cloud. In this article, we will be delving into the essence of in-place querying in AWS, exploring its mechanisms, applications, and the impact it has on data management. In [...]

In-Place Querying in AWS2023-12-13T20:20:17+00:00

Batch Data Ingestion Simplified in AWS

2023-12-12T00:40:18+00:00

Today's tech industry is dominated by Big Data and Cloud Computing. It is crucial for companies and organizations to efficiently manage large volumes of data. To address this important need, AWS offers robust solutions for handling these chunks of large data, particularly through batch data ingestion. This process involves collecting and importing bulk or big data into storage or other processing systems at regular intervals or specific events. Batch data ingestion is crucial for scenarios where immediate or real-time processing is not necessary, allowing for efficient resource utilization. Batch data ingestion in AWS is not only efficient and cost-effective but [...]

Batch Data Ingestion Simplified in AWS2023-12-12T00:40:18+00:00

Generative AI and Reinventing with Amazon Q

2023-12-07T03:09:18+00:00

The Journey to Amazon Q AWS re:Invent 2023 recently concluded, and there has been some exciting news around data, infrastructure, artificial intelligence, and machine learning. One of the big announcements was Amazon Q, currently under Preview release. Amazon Q is a generative artificial intelligence (AI) powered conversational assistant. Announced during the keynote by AWS CEO Adam Selipsky, he spoke about various things that AWS is doing to support its customers. The value of constant reinventing – global enterprises, over 80% of unicorns (companies with a Billion-dollar valuation), community colleges, government agencies, non-profits, and various others use AWS heavily in running [...]

Generative AI and Reinventing with Amazon Q2023-12-07T03:09:18+00:00

Building Code-Free GenerativeAI Apps with PartyRock

2023-12-05T00:19:12+00:00

What is PartyRock? It has been two weeks since Amazon announced PartyRock, an Amazon Bedrock Playground. It comes with the tagline “Everyone can build AI apps”. According to Amazon President and CEO, Andy Jassy, it was just an internal tool created by AWS developers to experiment with Foundation Models from Amazon Bedrock. The name PartyRock was in reference to it being a fun and collaborative way to experience Amazon Bedrock. I joined the party and played around with PartyRock to see what all the fuss was about, and it literally took me less than five minutes to create my first [...]

Building Code-Free GenerativeAI Apps with PartyRock2023-12-05T00:19:12+00:00

Amazon AI Fairness and Explainability with Amazon SageMaker Clarify

2023-12-02T01:24:03+00:00

Introduction In the rapidly evolving domain of machine learning, ensuring fairness and explainability in model predictions has become crucial. With Amazon SageMaker Clarify, these critical aspects are not just an afterthought but integral components of the model development and deployment process. This article delves into the world of SageMaker Clarify, offering a comprehensive guide to its capabilities and practical applications. We commence our journey with a high-level understanding of what SageMaker Clarify is and its importance in the day-to-day tasks of machine learning modeling. Our exploration is anchored in a hands-on example, utilizing a specially crafted dataset that simulates loan [...]

Amazon AI Fairness and Explainability with Amazon SageMaker Clarify2023-12-02T01:24:03+00:00

Setting Up Redirects on Amazon S3 for a Custom Domain Registered with Amazon Route 53

2023-11-06T08:50:20+00:00

This article will guide you on creating redirects on Amazon S3 for a website with a custom domain registered with Amazon Route 53. The following services will be used: Amazon Route 53 for domain registration and routing internet traffic, Amazon S3 for bucket creation, uploading a redirection script, configuring permissions for public access, and configuring the buckets for website hosting. In this example, we will redirect a custom domain registered with Amazon Route 53 instead of using this lengthy URL. - https://aws.amazon.com/developer/community/community-builders/community-builders-directory/?cb-cards.sort-by=item.additionalFields.cbName&cb-cards.sort-order=asc&awsf.builder-category=*all&awsf.location=*all&awsf.year=*all&cb-cards.q=Nestor%2BMayagma%2BJr.&cb-cards.q_operator=AND STEPS Step 1: Go to Amazon S3 → Buckets → Create bucket Follow the configurations below: Follow this [...]

Setting Up Redirects on Amazon S3 for a Custom Domain Registered with Amazon Route 532023-11-06T08:50:20+00:00

AWS CloudShell

2023-10-24T01:51:05+00:00

Bookmarks Features Security Pricing AWS CloudShell Cheat Sheet A terminal that you can access from the AWS Management Console to interact with your AWS resources without installing any software on your local computer.  To run AWS CLI commands, you can use any command-line interpreter:  Bash (bash) PowerShell (pwsh) Z shell (zsh) The compute environment is built on Amazon Linux 2. 1 vCPU 2 GiB RAM 1 GB persistent storage Features The shell environment is pre-configured with tools, utilities, runtimes, and AWS SDKs. You can use up to 1 GB of persistent storage (home directory) [...]

AWS CloudShell2023-10-24T01:51:05+00:00

Amazon MemoryDB for Redis

2023-10-07T14:02:50+00:00

Bookmarks Features Concepts Security Networking Pricing Amazon MemoryDB for Redis Cheat Sheet  An in-memory database service for microservices-based applications. MemoryDB stores all of your data in memory, allowing you to achieve microsecond read and single-digit millisecond write latency and high throughput. It also uses a Multi-AZ transactional log to store data across multiple AZs in order to enable fast failover, database recovery, and node restarts. Features Primary nodes have strong consistency, and replica nodes have guaranteed eventual consistency.  Scale horizontally by adding and removing nodes or vertically by changing node types. Write [...]

Amazon MemoryDB for Redis2023-10-07T14:02:50+00:00

AWS Data Exchange

2023-09-27T17:34:50+00:00

Bookmarks Concepts Security Pricing AWS Data Exchange Cheat Sheet A service that enables users to search, subscribe to, and use third-party data in the cloud. Provides a central catalog where data providers may publish their data products, and data subscribers can search and subscribe to them. You can also find and use publicly available data sets that are part of the Open Data on AWS program with or without an AWS account. Concepts Data AWS Data Exchange organizes data using these three building blocks: Assets - a piece of data. Revisions - container for [...]

AWS Data Exchange2023-09-27T17:34:50+00:00

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