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AWS Cheat Sheets

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Amazon EKS vs Amazon ECS

2024-08-27T11:41:51+00:00

    Elastic Container Service (ECS) Elastic Kubernetes Service (EKS) Overview AWS’s fully managed container orchestration service for Docker containers. Designed for simplicity and ease of use. Seamless integration with AWS services and minimal management overhead. Tightly coupled with AWS, making it a cloud-native service. AWS’s managed Kubernetes service. Offers Kubernetes flexibility with AWS’s management and scaling. Ideal for teams needing Kubernetes features and ecosystem. Kubernetes is cloud-agnostic and has a loosely coupled architecture, allowing it to run across various cloud providers like Google Cloud, Azure, and others. Features Simplifies container management without the need for control plane management. Deeply [...]

Amazon EKS vs Amazon ECS2024-08-27T11:41:51+00:00

Amazon Redshift Serverless

2024-07-19T00:24:57+00:00

Bookmarks Use Cases Features Components Monitoring Security Pricing Amazon Redshift Serverless Cheat Sheet Amazon Redshift Serverless allows users to run and scale analytics without managing the underlying data warehouse infrastructure. It dynamically adjusts compute capacity to handle fluctuating query loads, delivering high performance and efficiency for analytical workloads. Amazon Redshift Serverless Use Cases Ideal for workloads with unpredictable usage patterns, where traditional data warehousing solutions may need to be more cost-effective and practical. Supports integration with BI tools like Tableau and Amazon QuickSight for real-time and historical data analysis. Seamlessly integrates [...]

Amazon Redshift Serverless2024-07-19T00:24:57+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

Amazon Managed Workflows for Apache Airflow

2024-04-25T06:42:18+00:00

Bookmarks Key Features Security Pricing References Amazon Managed Workflows for Apache Airflow (MWAA) Cheat Sheet Amazon MWAA is a service that helps you manage and automate your data workflows using Apache Airflow. Workflows are designed as Directed Acyclic Graphs (DAGs) using Python. Use Cases Complex Data Workflows: Handles complex data processing tasks. ETL Jobs: Coordinates Extract, Transform, Load (ETL) processes. Machine Learning: Prepares datasets for machine learning models. Key Features Deployment: Easy setup and operation. Scaling: Automatically adjusts to match workload demands. Security: Built-in measures for data protection. Monitoring: Comprehensive tracking of workflows. Cost-Effectiveness: [...]

Amazon Managed Workflows for Apache Airflow2024-04-25T06:42:18+00:00

AWS Glue Data Quality

2024-04-17T06:27:15+00:00

Bookmarks Features Pricing References AWS Glue Data Quality Cheat Sheet AWS Glue Data Quality is a service that provides a way to monitor and measure the quality of your data. It’s part of the AWS Glue service and is built on the open-source DeeQu framework. Use Cases Analyzing data sets that are cataloged in the AWS Glue Data Catalog. Continuously monitoring the quality of data in a data lake. Adding a layer of data quality checks to traditional AWS Glue jobs. AWS Glue Data Quality uses a domain-specific language called Data Quality Definition Language [...]

AWS Glue Data Quality2024-04-17T06:27:15+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

Amazon EventBridge

2024-07-16T06:37:20+00:00

Bookmarks Overview Concepts Features Additional Information Use Cases Best Practices Pricing References Amazon EventBridge Cheat Sheet Amazon EventBridge is a service that allows applications to communicate with each other using data from different sources in real time. It is a serverless event bus that acts as a centralized hub for ingesting events from various sources and directing them to the appropriate applications and services. This makes connecting applications easier and enables them to respond to data in real time. Concepts Events: An event in Amazon EventBridge represents a state [...]

Amazon EventBridge2024-07-16T06:37:20+00:00

HTTP Flood Attack Notification using AWS Lambda, Amazon EventBridge and CloudWatch Logs Insights

2024-01-25T05:04:59+00:00

We can almost do everything now on the website. Selling clothes, ordering food, video posting, doing business meetings, online classes, and others, you name it. Running a website is very awesome and at the same time hard, especially when bad actors want to mess with it. One sneaky way is an "HTTP Flood Attack," where your website gets bombarded with too many requests. This can slow down or even break your site. Detecting and responding to such attacks promptly is crucial for maintaining the availability and performance of your applications. In this blog post, we'll explore how to implement a simple [...]

HTTP Flood Attack Notification using AWS Lambda, Amazon EventBridge and CloudWatch Logs Insights2024-01-25T05:04:59+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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