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AWS Billing Conductor

2024-04-12T13:08:42+00:00

Bookmarks Key Features Benefits Pricing AWS Billing Conductor Cheat Sheet Facilitates showback and chargeback workflows for AWS Solution Providers and Enterprise customers. Enables customization of an alternative monthly billing data version. Models your billing relationship with customers or business units. Maintains your existing AWS billing method. Allows configuration, generation, and display of rates to specific customers over a billing period. Supports analysis of rate differences between your groupings and actual AWS rates. Key Features Group Accounts: You can group your accounts into a set of mutually exclusive set of accounts (billing groups). These groups [...]

AWS Billing Conductor2024-04-12T13:08:42+00:00

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 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

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

Personal ML Projects with Amazon SageMaker, Amazon Comprehend, Amazon Forecast and Other ML Services

2023-11-30T04:52:46+00:00

Machine learning and artificial intelligence have been powering many of the technologies we use daily, some of which we may not actively pay attention to, and they have become second nature to us. Suppose we actively look for the presence of ML/AI. In that case, we can find them everywhere: natural language processing in our AI Assistants, recommender engines in e-commerce, social media, and music, and fraud detection in finance, among many other technologies. Although these very powerful models are the ones running the digital world we live in, we can replicate the functionalities of said models for our uses, [...]

Personal ML Projects with Amazon SageMaker, Amazon Comprehend, Amazon Forecast and Other ML Services2023-11-30T04:52:46+00:00

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