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aws cheat sheets guide

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Specifying Triggers for AWS Config Rules

2023-05-02T03:48:17+00:00

AWS Config allows you to set “rules” to evaluate configuration settings on your AWS resources. The result of these rule evaluations are then displayed on the AWS Config web console. You can control the frequency of rule evaluations by AWS Config by specifying a trigger. A trigger refers to the method of evaluation for your config rules. There are two types of triggers to select from when creating a rule. 1. Configuration Changes When “configuration changes” is enabled, AWS Config will evaluate the config rule when specific resources are created, changed, or deleted. In simple terms, as the name implies, [...]

Specifying Triggers for AWS Config Rules2023-05-02T03:48:17+00:00

Setting up AWS Systems Manager for Hybrid Environments

2023-05-02T03:53:19+00:00

AWS Systems Manager allows your organization to monitor and control their infrastructure on AWS and on-premises environments. Systems Manager provides a unified interface to which you can monitor thousands of servers and services of AWS. Essentially, Systems Manager simplifies resource and application management, shortens the time to detect and resolve operational problems, and makes it easy to operate and manage your infrastructure securely at scale. The following are the capabilities of AWS Systems Manager for your Hybrid Environment: Centrally define the configuration options and policies for your managed instances. Automate or schedule a variety of maintenance and deployment tasks. Use [...]

Setting up AWS Systems Manager for Hybrid Environments2023-05-02T03:53:19+00:00

Asymmetric vs. Symmetric Encryption KMS Keys

2024-07-11T09:23:36+00:00

Even before the Internet, the security, privacy, and integrity of information have always been the top concern of institutions like banks, hospitals, and universities. Nobody wants their personal information (name, address, credit card number, etc.) to be exposed in public for anyone to use. Imagine signing up on your favorite social media website, and after a few days, somewhere on the globe has been using your profile and pretending to be you without you knowing! Or maybe you’ve been using your credit card for shopping online and suddenly, your bank is sending you email reports for fraudulent activities on your [...]

Asymmetric vs. Symmetric Encryption KMS Keys2024-07-11T09:23:36+00:00

Amazon Textract

2025-11-25T12:22:41+00:00

Amazon Textract Cheat Sheet A fully managed document analysis service for detecting and extracting information from scanned documents. Returns extracted data as key-value pairs (e.g., Name: John Doe) Supports virtually any type of documents Can detect text written in Standard English alphabet and ASCII symbols. Mention integration options: works with AWS SDKs (Python, Java, Node.js, etc.), AWS CLI, and Boto3. Supports image files (PNG, JPG) and PDFs (single and multipage). Can detect handwriting in multiple languages (not just English). Works natively with S3 (you can process documents stored in S3 directly). Common Use Cases: Building search indexes Importing documents into [...]

Amazon Textract2025-11-25T12:22:41+00:00

Amazon Augmented AI (A2I)

2025-11-24T09:15:28+00:00

Amazon Augmented AI Cheat Sheet Amazon A2I is a service that helps you easily integrate human reviews in a machine learning workflow. Simplifies managing a large number of human reviewers at scale. Has direct integration with Amazon Textract and Amazon Rekognition. A2I workflow structure: HumanLoop → Human Review Workflow → Output Consolidation. You can define when a human review should be triggered (e.g., below 80% confidence). A2I plugs directly into SageMaker pipelines and SageMaker Ground Truth. Common Use Cases: Content Moderation where human oversight is required to judge uncertain results from a machine learning model. Manual reviews of low confidence predictions [...]

Amazon Augmented AI (A2I)2025-11-24T09:15:28+00:00

Amazon Personalize

2025-11-24T12:23:51+00:00

Amazon Personalize Cheat Sheet A fully managed machine learning service for building recommendation systems. Amazon Personalize allows you to train, build, and deploy recommendation models without an extensive machine learning experience. Offers batch and real-time recommendations. Common Use Cases: Personalized product and content recommendations. Product rankings. Improves marketing communication through individualized push notifications and emails. Adjust recommendations in real-time as user behavior changes. Suggest complementary products based on purchase patterns. Improve search relevance for each user. Recommend items or content that increase user engagement and reduce churn. Concepts Amazon Personalize can provide recommendations based on real-time data, historical data, or [...]

Amazon Personalize2025-11-24T12:23:51+00:00

Amazon Aurora vs Amazon RDS

2023-04-07T02:17:17+00:00

    Aurora RDS Type of database Relational database Features • MySQL and PostgreSQL compatible. • 5x faster than standard MySQL databases and 3x faster than standard PostgreSQL databases. • Use Parallel Query to run transactional and analytical workloads in the same Aurora database, while maintaining high performance. • You can distribute and load balance your unique workloads across different sets of Aurora DB instances using custom endpoints. • Aurora Serverless allows for on-demand, autoscaling of your Aurora DB instance capacity. • Has several database instance types for different kinds of workloads and support five database engines - MySQL, PostgreSQL, [...]

Amazon Aurora vs Amazon RDS2023-04-07T02:17:17+00:00

Amazon Aurora Machine Learning

2023-05-02T05:15:36+00:00

Amazon Aurora Machine Learning is a proprietary technology of Amazon that enables a native SQL user to integrate Machine Learning-based predictions to an application without knowing or understanding any machine learning algorithms. Machine learning heavily relies on datasets for it to work. You can say that data is the oil that keeps the engine of machine learning running. There is a massive amount of data generated every day. To give you an idea, according to this article, “By 2020, it’s estimated that for every person on earth, 1.7 MB of data will be created every second.”  Almost 2 MB of [...]

Amazon Aurora Machine Learning2023-05-02T05:15:36+00:00

Amazon Comprehend

2023-10-05T02:52:20+00:00

Bookmarks Common Use Cases Concepts Amazon Comprehend Medical Pricing Validate Your Knowledge What is Amazon Comprehend? A managed Natural Language Processing (NLP) service that you can use to extract meaningful information from unstructured texts so you can analyze them in a human-like context. It is an off-the-shelf solution that does not require deep machine learning expertise to get started. Works with social media feeds, web pages, comments, product reviews, articles, or emails. Can analyze texts in real-time by using built-in and custom models. Also offers medical insights and protected health information (PHI) [...]

Amazon Comprehend2023-10-05T02:52:20+00:00

AWS DeepLens

2024-11-14T06:11:31+00:00

AWS DeepLens Cheat Sheet A deep learning-enabled camera for developers A wireless-enabled camera integrated with AWS Cloud Capable of delivering 100GFLOPS of computing power (1 billion operations per second) Contains sample projects at launch to get you started Optimized for Apache MXNet, TensorFlow, and Caffe Integrates with Amazon Rekognition for advanced image analysis Common use cases Developing computer vision applications such as: Face Detection Activity Detection Object Detection Bird Classification  Artistic Style Transfer AWS DeepLens needs 3 AWS services to create a project: Amazon SageMaker  Train/validate custom or pre-trained models  AWS Lambda Preprocessing  Capturing inference Displaying output AWS IoT Greengrass [...]

AWS DeepLens2024-11-14T06:11:31+00:00

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