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amazon aws cheat sheets

Home » amazon aws cheat sheets » Page 7

AWS Outposts

2026-01-02T14:44:29+00:00

Bookmarks Concepts Monitoring Pricing AWS Outposts Cheat Sheet A managed service that brings AWS infrastructure, services, APIs, and tools to the customer's premises. Concepts Outpost site is a physical location where AWS will install your Outpost. Outpost configurations include EC2, EBS, and networking capabilities. Each configuration has its own requirements for power, cooling, and weight support. The compute and storage resources are called Outpost capacity. You must have Outpost equipment to use the AWS Outposts service. This includes AWS-managed racks, servers, switches, and cabling. Supports asset-level capacity management, allowing visibility and management of EC2 [...]

AWS Outposts2026-01-02T14:44:29+00:00

AWS Proton

2026-01-02T16:11:28+00:00

Bookmarks Concepts Monitoring Pricing AWS Proton Cheat Sheet A managed delivery service for deploying container and serverless applications. Uses templates to define and maintain standard application stacks, which include the architecture, infrastructure resources, and the CI/CD pipeline. AWS Proton will end support on October 7, 2026. After this date: The AWS Proton console and AWS Proton resources will no longer be accessible. Deployed infrastructure remains intact. All existing templates, environments, services, components, and pipelines remain for historical and exam awareness. Concepts Templates Environment Template – a shared infrastructure used by multiple applications or resources. [...]

AWS Proton2026-01-02T16:11:28+00:00

Amazon Managed Service for Prometheus

2025-12-28T17:40:13+00:00

Bookmarks Features Concepts Pricing Amazon Managed Service for Prometheus Cheat Sheet A managed monitoring service for container environments. You can monitor and alert on the performance of containerized workloads using the open-source PromQL without having to scale or manage the underlying infrastructure. Automatically scale the ingestion, storage, alerting, and querying of operational metrics as workload increases. Integrated with Amazon EKS, Amazon ECS, and AWS Distro for OpenTelemetry. Amazon Managed Service for Prometheus Features With Prometheus query language (PromQL), you can easily obtain performance visibility using a filter, aggregate, and alarm on metrics. Supports multi-AZ [...]

Amazon Managed Service for Prometheus2025-12-28T17:40:13+00:00

Amazon Managed Grafana

2023-06-23T07:33:09+00:00

Bookmarks Components Security Pricing What is Amazon Managed Grafana? A data visualization service for querying, correlating, and visualizing operational metrics, logs, and traces from multiple sources. Create dashboards and visualizations to analyze metrics, logs, and traces without having to build, package, or deploy Grafana servers. All logical Grafana server deployment, setup, scaling, and maintenance are handled by AWS. Integrated with the following AWS data sources: Amazon CloudWatch Amazon OpenSearch Service AWS X-Ray Amazon Timestream Amazon Managed Service for Prometheus Amazon Managed Grafana Components Workspaces A logically isolated Grafana server. User authentication method for workspaces [...]

Amazon Managed Grafana2023-06-23T07:33:09+00:00

AWS Network Firewall

2025-12-28T12:34:34+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 Firewall2025-12-28T12:34:34+00:00

AWS Wavelength

2025-11-26T12:59:47+00:00

Bookmarks Features Concepts Pricing AWS Wavelength Cheat Sheet AWS Wavelength enables developers to build applications that require edge computing infrastructure to deliver ultra-low latency to mobile devices and end users. It deploys standard AWS compute and storage services to the edge of communications service providers' (CSP) networks (typically 5G networks). Wavelength Zones can be used to extend an Amazon VPC in order to run ultra-low latency applications that use the same AWS services, APIs, tools, and functionalities.   Features Supports standard AWS compute instances, including General Purpose, Memory Optimized, and GPU-accelerated types for diverse [...]

AWS Wavelength2025-11-26T12:59:47+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

2025-12-28T17:47:15+00:00

Bookmarks Benefits How to delegate access Managing users AWS Transfer Family API 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 [...]

AWS Transfer Family2025-12-28T17:47:15+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

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