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aws cheat sheets guide

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AWS Audit Manager

2025-11-30T13:51:30+00:00

Bookmarks Features Concepts Monitoring Security Pricing AWS Audit Manager Cheat Sheet AWS Audit Manager is a fully managed service that helps you continuously audit your AWS usage to simplify risk management and compliance with regulations and industry standards. It automates the collection of evidence to prove that your controls (policies, procedures, and activities) are operating effectively. Automated Evidence Collection: continually collects data from AWS services (like CloudTrail, Config, and Security Hub) to validate compliance. Audit-Ready Reports: Generates "assessment reports" (PDF/ZIP) that summarize evidence for auditors. Framework Library: Provides prebuilt standard frameworks (PCI [...]

AWS Audit Manager2025-11-30T13:51:30+00:00

AWS Network Firewall

2025-12-07T15:39:01+00:00

Bookmarks Features Concepts Monitoring Pricing AWS Network Firewall Cheat Sheet AWS Network Firewall is a managed, stateful network firewall and intrusion detection and prevention service (IDS/IPS) for your Amazon Virtual Private Cloud (VPC). It enables you to implement fine-grained network protections that scale automatically with your traffic. Layer 3-7 Protection: Filters traffic at the network (IP/Port) and application (Domain/HTTP Host) layers. Managed Infrastructure: Automatically scales firewall capacity based on traffic load with 99.99% SLA. Suricata Engine: Uses the open-source Suricata engine, allowing you to import existing rulesets and community signatures. Central Management: Integrated [...]

AWS Network Firewall2025-12-07T15:39:01+00:00

Getting Started with SageMaker Ground Truth Private Workforce

2023-07-08T07:25:35+00:00

Before we begin, let’s quickly talk about what Amazon SageMaker is and what it is used for. If this is your first time learning about Amazon SageMaker, it is the machine learning platform of AWS that helps solve the different requirements of data scientists, developers, and machine learning practitioners.  It has several features and capabilities that assist in the different stages of the machine learning process. In this tutorial, we will focus on SageMaker Ground Truth and how it helps data science teams get access to clean labeled datasets.  When performing machine learning experiments, getting access to labeled datasets is [...]

Getting Started with SageMaker Ground Truth Private Workforce2023-07-08T07:25:35+00:00

AWS Transfer Family

2023-06-23T06:17:05+00:00

Bookmarks Benefits How to delegate access Managing users Pricing AWS Transfer Family Cheat Sheet AWS Transfer Family is a secure transfer service for moving files into and out of AWS storage services, such as Amazon S3 and Amazon EFS. With Transfer Family, you do not need to run or maintain any server infrastructure of your own. You can provision a Transfer Family server with multiple protocols (SFTP, FTPS, FTP).   Benefits Fully managed service and scales in real time. You don't need to modify your applications or run any file transfer protocol infrastructure. [...]

AWS Transfer Family2023-06-23T06:17:05+00:00

Scalable Data Processing and Transformation using SageMaker Processing (Part 2 of 2)

2023-04-28T02:18:41+00:00

In this 2-part tutorial, we will focus on SageMaker Processing and how we can use it to solve our data processing needs. Our overall goal is to demonstrate how to use SageMaker Processing to help us perform Min-Max scaling on a dataset in its own dedicated and easily scalable environment.  If you are looking for Part 1, you can find it here. As mentioned in Part I, we have divided this tutorial into 4 sections: [1] Synthetic Data Generation (found in PART I) [2] Using MinMaxScaler without the managed infrastructure support of SageMaker Processing (found in PART I) [3] Using [...]

Scalable Data Processing and Transformation using SageMaker Processing (Part 2 of 2)2023-04-28T02:18:41+00:00

Scalable Data Processing and Transformation using SageMaker Processing (Part 1 of 2)

2023-08-14T02:56:21+00:00

Amazon SageMaker is the machine learning platform of AWS which helps solve the different requirements of data scientists and machine learning practitioners. It has several features and capabilities that assist in the different stages of the machine learning process. Here is a simplified list of the capabilities of SageMaker mapped to some of the stages of the ML lifecycle. SageMaker Processing Data Preparation and Processing  SageMaker Training Model Training SageMaker Automatic Hyperparameter Tuning Model Training SageMaker Debugger Model Training SageMaker Hosting Services Deployment and Monitoring SageMaker Model Monitor Deployment and Monitoring   There’s definitely more into this list which we [...]

Scalable Data Processing and Transformation using SageMaker Processing (Part 1 of 2)2023-08-14T02:56:21+00:00

ELB Health Checks vs Route 53 Health Checks For Target Health Monitoring

2024-01-23T05:56:25+00:00

We all know that health checks are a very useful tool for making sure that AWS services such as AWS ELB and Amazon Route 53 know the state of their targets before forwarding traffic to them. In this section, we will take a look at ELB health checks and Route 53 health checks, and compare them with one another. Health Check Service AWS Elastic Load Balancing Amazon Route53 What is it for? This health check periodically sends a request to a target instance, server or function to verify its status i.e. available to accept traffic requests. This health check monitors [...]

ELB Health Checks vs Route 53 Health Checks For Target Health Monitoring2024-01-23T05:56:25+00:00

Interface Endpoint vs Gateway Endpoint vs Gateway Load Balancer Endpoint

2023-04-10T03:13:05+00:00

Interface Endpoint Gateway Endpoint Gateway Load Balancer Endpoint An elastic network interface with a private IP address that serves as an entry point for traffic destined to a supported AWS service, endpoint service, or AWS Marketplace service. For each interface endpoint, you can choose only one subnet per Availability Zone. Endpoints are regional, which means they are only usable within the same region they are created in. Since interface endpoints use ENIs, they also use security groups to control traffic. Can be accessed through AWS VPN connections or AWS Direct Connect connections, through intra-region VPC peering connections from Nitro instances, [...]

Interface Endpoint vs Gateway Endpoint vs Gateway Load Balancer Endpoint2023-04-10T03:13:05+00:00

Amazon EFS vs Amazon FSx for Windows vs Amazon FSx for Lustre

2023-04-07T02:31:03+00:00

Amazon EFS Amazon FSx for Windows File Server Amazon FSx for Lustre • Amazon EFS is a serverless, scalable, high-performance, POSIX-compliant file system in the cloud. • EFS file systems can be accessed by Amazon EC2 Linux instances, Amazon ECS, Amazon EKS, AWS Fargate, and AWS Lambda functions via a file system interface such as NFS protocol. • Amazon EFS supports file system access semantics such as strong consistency and file locking. • EFS file systems can automatically scale in storage to handle petabytes of data. With Bursting mode, the throughput available to a file system scales as a file [...]

Amazon EFS vs Amazon FSx for Windows vs Amazon FSx for Lustre2023-04-07T02:31:03+00:00

Amazon Kinesis Data Streams vs Data Firehose vs Data Analytics vs Video Streams

2024-07-17T03:30:01+00:00

  Data Streams Data Firehose Data Analytics Video Streams Short definition Scalable and durable real-time data streaming service. Capture, transform, and deliver streaming data into data lakes, data stores, and analytics services. Transform and analyze streaming data in real time with Apache Flink. Stream video from connected devices to AWS for analytics, machine learning, playback, and other processing. Data sources Any data source (servers, mobile devices, IoT devices, etc) that can call the Kinesis API to send data. Any data source (servers, mobile devices, IoT devices, etc) that can call the Kinesis API to send data. Amazon MSK, Amazon Kinesis [...]

Amazon Kinesis Data Streams vs Data Firehose vs Data Analytics vs Video Streams2024-07-17T03:30:01+00:00

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