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AWS Cheat Sheets

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Amazon CodeGuru Security

2025-08-04T05:56:18+00:00

Amazon CodeGuru Security Cheat Sheet Amazon CodeGuru Security is a static application tool that leverages machine learning to identify security vulnerabilities and policy violations. It offers actionable recommendations to mitigate security risks and generates metrics to help track the security posture of your applications. Informed by years of Amazon.com and AWS security best practices, CodeGuru Security’s policies assist in building and deploying secure, high-quality applications. Features Static Code Analysis: Uses ML and automated reasoning to detect security issues in source code (e.g., injection flaws, hardcoded credentials, etc.) Repository Scanning: Scans entire repositories or specific pull requests. ML-Based Detectors: Includes OWASP [...]

Amazon CodeGuru Security2025-08-04T05:56:18+00:00

AWS Elastic Disaster Recovery

2025-12-28T17:48:58+00:00

Bookmarks Features Use Cases Best Practices Recovery and Failback Security Pricing AWS Elastic Disaster Recovery Cheat Sheet AWS Elastic Disaster Recovery is a fully managed service providing fast, reliable, and cost-efficient disaster recovery for physical, virtual, and cloud-based Amazon Web Services (AWS) servers. It continuously replicates block-level data from the source environment, such as on-premises infrastructure or another cloud provider, to a staging area subnet in AWS. In the event of a disaster or during a drill, AWS DRS enables the rapid launch of fully operational [...]

AWS Elastic Disaster Recovery2025-12-28T17:48:58+00:00

Apache Kafka vs Amazon Kinesis

2025-07-18T09:33:54+00:00

If you’re working with real-time data—like logs, user events, or IoT signals—you’ve probably heard of Apache Kafka and Amazon Kinesis. Both are built to handle streaming data at scale, and both are super popular. But how do you know which one’s right for you? Kafka gives you tons of control and flexibility, but it can be a lot to manage. Kinesis, on the other hand, is fully managed by AWS and easier to get started with—but you trade off some customization. So if you’re wondering, “Should I go with Kafka or Kinesis?”—you’re in the right place. Let’s break it down [...]

Apache Kafka vs Amazon Kinesis2025-07-18T09:33:54+00:00

Effectively Set-Up Your Virtual Private Cloud using CloudFormation

2025-07-16T14:28:36+00:00

Hello Dojos! We're back again for another Infrastructure as Code article, focusing on AWS Native Infrastructure as Code Service, CloudFormation In my previous article, we explored the benefits of using Infrastructure as Code to ramp up your production by showing how easy it is to launch an EC2 Instance using Terraform. For this article, we will explore AWS CloudFormation and try to deploy our very own Virtual Private Cloud. Using Terraform and CloudFormation offers their benefits and advantages, which we won't tackle right now. Nevertheless, they offer the same purpose: to make provisioning much faster and reduce the risk of [...]

Effectively Set-Up Your Virtual Private Cloud using CloudFormation2025-07-16T14:28:36+00:00

AI as a Service (AIaaS) To Power Your Business Forward

2025-07-08T12:15:24+00:00

If you have a business or kind of planning to start one, you’ve prolly heard one of the most overused quotes out there: “if you’re not growing, you’re dying.” And sure, at some point, that’s true. Undeniably.  But you see, not every business has the time, resources, or skilled team to keep up with the competition. From personalized shopping experiences to smarter customer support… How? Artificial Intelligence. Just a truly intelligent, always-on key part of how modern companies operate. AI became a requirement for all businesses to stand out and be on top in the market. But are businesses really [...]

AI as a Service (AIaaS) To Power Your Business Forward2025-07-08T12:15:24+00:00

Why I Chose AWS Lambda to Power My App’s Cloud Logic

2025-06-27T09:40:37+00:00

For this article, I will demonstrate how I used AWS Lambda as an all-around backend system for a mock-up mobile application I developed for my Design subject in school. The mobile application is an IoT application that integrates communication between a mobile device and a handheld barcode scanner using a Bluetooth module. It also includes security functions, such as code decryption and user statuses. For the dependencies, I used flutter_blue, get, and http. The list below indicates the use cases of AWS Lambda for my mobile application. I hope, by the end of this article, you will know how to [...]

Why I Chose AWS Lambda to Power My App’s Cloud Logic2025-06-27T09:40:37+00:00

What is Area Under the ROC Curve (AUC) in Machine Learning?

2025-07-01T02:38:28+00:00

Area Under the ROC Curve (AUC) Cheat Sheet AUC, short for Area Under the Curve of the Receiver Operating Characteristic (ROC), is a metric that evaluates how well a model can differentiate between different classes. A performance metric primarily used for binary classification models. Ranges from 0 to 1: 1: Perfect model. 0.5: Model performs no better than random guessing. 0: Model inversely ranks positives and negatives. Accurate Outcomes True Positive (TP): The model predicted 1, which matches the actual result. True Negative (TN): The model predicted 0, and the real outcome was also 0. Misclassified Outcomes False Positive (FP): [...]

What is Area Under the ROC Curve (AUC) in Machine Learning?2025-07-01T02:38:28+00:00

What is BiLingual Evaluation Understudy (BLEU) Score for Machine Translation?

2025-06-25T01:15:03+00:00

BiLingual Evaluation Understudy (BLEU) Score Cheat Sheet BLEU (BiLingual Evaluation Understudy) is a corpus-level metric designed to automatically evaluate the quality of machine-generated text, most commonly in machine translation (MT). It compares n-gram overlap between the machine’s output and one or more human reference translations. Introduced by Papineni et al. (2002), BLEU became the first automated metric to correlate highly with human judgments in large-scale MT evaluations. It remains a widely used baseline for evaluating machine-generated text. Common Use Cases The BLEU score is widely used in natural language processing tasks that require comparing machine-generated text to human-written references. Its primary [...]

What is BiLingual Evaluation Understudy (BLEU) Score for Machine Translation?2025-06-25T01:15:03+00:00

What is RLHF – Reinforcement Learning from Human Feedback?

2025-06-24T05:52:27+00:00

What is Reinforcement Learning from Human Feedback (RLHF)? A technique to improve AI models using human feedback to guide learning. Builds on reinforcement learning, where AI learns by trial and error to achieve goals. Uses human opinions to determine good or bad outputs, enhancing traditional reward systems. How RLHF Works Data Collection: AI generates multiple outputs (e.g., answers or text snippets). Humans provide feedback by ranking or comparing outputs (e.g., which is better or more helpful). Supervised Fine-Tuning: Model is trained with human feedback to produce preferred outputs. Establishes a baseline for good responses. Building a Reward Model: Creates a [...]

What is RLHF – Reinforcement Learning from Human Feedback?2025-06-24T05:52:27+00:00

From Alert Fatigue to Intelligent Response: Using AWS Bedrock for Incident Management

2025-05-05T08:52:52+00:00

3 AM Again? Transform Your On-Call Experience with AWS Bedrock Incident Response It's 3 AM, your phone buzzes with another CloudWatch alert, and you're frantically trying to understand what went wrong with limited context. Sound familiar? Usually, cloud operations teams face this overwhelming challenge daily: alerts that lack context, information scattered across multiple systems, and the constant pressure to resolve incidents quickly. Fortunately, AWS Bedrock incident response capabilities now offer a revolutionary solution to this common problem. Why Traditional Incident Response Methods No Longer Work In today's increasingly complex cloud environments, traditional approaches to incident response clearly show their limitations: [...]

From Alert Fatigue to Intelligent Response: Using AWS Bedrock for Incident Management2025-05-05T08:52:52+00:00

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