Ends in
00
days
00
hrs
00
mins
00
secs
ENROLL NOW

⏳ Get 30% OFF on Microsoft Azure and GitHub Reviewers this Black Friday Sale!

aws cheat sheets

Home » aws cheat sheets » Page 2

AWS App Runner

2025-11-24T05:34:36+00:00

Bookmarks Key Concepts Source Options Deployment Methods Auto Scaling Networking and Security Pricing Supported Runtimes Service Management Best Practices AWS App Runner Cheat Sheet A fully managed container application service that enables you to build, deploy, and run scalable and secure web applications or API services directly from source code or container images in the AWS Cloud without requiring prior infrastructure or container experience. It supports full-stack development for both frontend and backend applications using the HTTP and HTTPS protocols, making it ideal for deploying websites, backend services, [...]

AWS App Runner2025-11-24T05:34:36+00:00

Amazon SageMaker Feature Store

2025-12-12T05:11:22+00:00

Amazon SageMaker Feature Store Cheat Sheet Amazon SageMaker Feature Store is a centralized repository for managing machine learning features. It simplifies the process of data exploration, model training, and batch predictions by providing a unified view of your features. Enhances ML model development and deployment efficiency. How does it work? SageMaker Feature Store stores features in feature groups. A feature group is a collection of related features that can be used for a specific task. Feature groups can be created from various data sources, such as Amazon S3, Amazon RDS, and Amazon DynamoDB. There are three modes that a feature [...]

Amazon SageMaker Feature Store2025-12-12T05:11:22+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

2025-11-25T11:49:38+00:00

Bookmarks Features Sub-modules Security 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. Business Insights: With QuickSight integration, Q can combine unstructured (docs) + structured data (dashboards / databases) to answer questions like “What's our revenue trend + narrative?”. Customer Service: [...]

Amazon Q2025-11-25T11:49:38+00:00

Amazon Managed Workflows for Apache Airflow

2025-11-22T09:19:33+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. Data Orchestration Across AWS Services: Easily integrates with S3, Redshift, Lambda, and RDS for orchestrated workflows. Event-Driven Workflows: Can trigger DAGs based on events from EventBridge [...]

Amazon Managed Workflows for Apache Airflow2025-11-22T09:19:33+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!