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AWS AppConfig

2024-04-12T13:51:35+00:00

Bookmarks Key Features Benefits Use Cases Pricing Reference AWS AppConfig Cheat Sheet AWS AppConfig allows software developers to quickly and securely adjust application behavior in production environments without needing to deploy code. It enhances the frequency of software releases, improves application resilience, and enables rapid response to emergent issues. Key Features Feature Flags: Allows gradual release of new capabilities to users and measures the impact of those changes before full deployment. Dynamic Configurations: Enables updates to block lists, allow lists, throttling limits, logging verbosity, and other operational tuning to quickly respond to [...]

AWS AppConfig2024-04-12T13:51:35+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

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

Data Ingestion in AWS: Handling Homogenous and Heterogenous Data

2023-12-10T19:26:56+00:00

The phrase "data is the new oil" or "data is the new gold" may sound like a cliche, but it captures the fact that data is a critical asset for modern businesses. Companies have long used data to inform strategic decisions, especially in today's tech industry. Many organizations now build dedicated data analytics teams to harness information gathered from various sources. Yet, for an average Joe, the process of transforming data into actionable insights can seem like a black box. This is where data ingestion comes into play, serving as a crucial step in distilling structured and unstructured data into [...]

Data Ingestion in AWS: Handling Homogenous and Heterogenous Data2023-12-10T19:26:56+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

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

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

The AI Revolution: An Overview of Generative AI and Foundation Models

2023-12-15T01:46:23+00:00

The recent biggest trends in technology revolve around this buzzword that exploded in popularity: Generative AI. After the initial public release of ChatGPT from OpenAI around November 2022, plenty of other chatbots powered by large language models (LLMs), like Google’s PaLM powering Google Bard and Meta’s LLaMa model, took the world by storm. These LLMs have empowered millions of users and developers, affecting various areas of work and thus reshaping the industry. In this article, we will discuss the basic principles and concepts around these LLMs, explain the role of Foundation Models behind them, and explore AI's current integrations and [...]

The AI Revolution: An Overview of Generative AI and Foundation Models2023-12-15T01:46:23+00:00

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