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AWS Cheat Sheets

/AWS Cheat Sheets

Specifying Triggers for AWS Config Rules

2021-04-14T04:32:30+00:00

Specifying Triggers for AWS Config Rules 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 [...]

Specifying Triggers for AWS Config Rules2021-04-14T04:32:30+00:00

Setting up AWS Systems Manager for Hybrid Environments

2021-03-22T11:58:59+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 Environments2021-03-22T11:58:59+00:00

Symmetric vs. Asymmetric CMKs

2021-03-16T00:34:11+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 [...]

Symmetric vs. Asymmetric CMKs2021-03-16T00:34:11+00:00

Amazon Textract

2021-03-05T06:19:00+00:00

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. Common Use Cases: Building search indexes Importing documents into a business application Building automated document processing solutions Text extraction for Natural Language Processing (NLP) Applications Maintaining document compliance Concepts Amazon Textract returns a confidence score for each identified element, which indicates the probability that a given prediction is correct. A low-confidence score can be rerouted to Amazon Augmented AI [...]

Amazon Textract2021-03-05T06:19:00+00:00

Amazon Augmented AI (A2I)

2021-03-01T09:15:47+00:00

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 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 due to documents that are scanned poorly or contain bad handwriting.  Concepts Task type Type of task to be reviewed. Available task types Key-value pairs extracted by Amazon Textract Unsafe content flagged by Amazon Rekognition Custom machine learning workflows [...]

Amazon Augmented AI (A2I)2021-03-01T09:15:47+00:00

Amazon Personalize

2021-02-27T05:23:16+00:00

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. Concepts Amazon Personalize can provide recommendations based on real-time data, historical data, or a mix of both. Event trackers Records user interactions in real-time. Recipe Refers to the algorithm to be used in training a solution for a given use case. Available Recipes USER_PERSONALIZATION - optimized for personalized recommendation [...]

Amazon Personalize2021-02-27T05:23:16+00:00

AWS Managed Policies For Job Functions

2021-02-24T08:12:50+00:00

AWS managed policies for job functions are policies that contain sets  of permissions required for a specific job function or role (especially in the IT industry). It is designed to simplify the creation of policies by combining the permissions for many services into a single policy. You can attach these policies for job functions to any group, user, or role.  To further understand this, let’s consider the scenario below: Mikee is the new database administrator of a social media startup that leverages on Amazon Web Services. She was assigned to configure the minimum set of permissions in IAM so she [...]

AWS Managed Policies For Job Functions2021-02-24T08:12:50+00:00

Amazon Aurora vs Amazon RDS

2021-02-24T09:27:31+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, MariaDB, Oracle, and SQL Server. Can [...]

Amazon Aurora vs Amazon RDS2021-02-24T09:27:31+00:00

Amazon Aurora Machine Learning

2021-02-23T08:49:01+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 Learning2021-02-23T08:49:01+00:00

Amazon Comprehend

2021-02-24T09:07:37+00:00

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. Common Use Cases Sentiment analysis for social media posts Organize documents by topics Knowledge management and discovery Classifies support tickets for better issue handling Medical cohort analysis Amazon Comprehend generates insights in six [...]

Amazon Comprehend2021-02-24T09:07:37+00:00

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