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AWS Cheat Sheets

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Amazon Fraud Detector

2025-08-07T17:46:33+00:00

Amazon Fraud Detector Cheat Sheet Amazon Fraud Detector is a fully managed service that uses machine learning and Amazon’s expertise to help businesses identify and prevent online fraud. It enables quick and effective creation, deployment, and management of fraud detection models, even for those with limited ML experience.   Features Automated Model Creation: Automatically builds and trains custom fraud detection models from historical data. Real-Time Predictions: Installing fraud risk assessments for individual events or batch processing occurs. Customizable Rules Engine: Offers flexible rule-based decisions that integrate with fraud detection models and external inputs. Continuous Model Improvement: Models evolve as more [...]

Amazon Fraud Detector2025-08-07T17:46:33+00:00

AWS HealthLake

2025-08-04T05:57:11+00:00

AWS HealthLake Cheat Sheet AWS HealthLake is a fully managed, HIPAA-eligible service designed to help healthcare organizations store, transform, and analyze health data at scale. It supports the Fast Healthcare Interoperability Resources (FHIR) R4 specification for seamless data interoperability. It enables healthcare providers to extract insights from health data through powerful analytics and machine learning models. Features FHIR R4 Data Store: Securely stores health data in a standardized FHIR format, making it easy to query and retrieve health information. Data Import: Supports importing data from Amazon S3, including clinical records, lab results, and insurance claims. Natural Language Processing (NLP): Automatically [...]

AWS HealthLake2025-08-04T05:57:11+00:00

AWS HealthScribe

2025-08-04T05:59:22+00:00

AWS HealthScribe Cheat Sheet AWS HealthScribe is a HIPAA-eligible service designed to help healthcare software vendors create clinical applications automatically generating preliminary clinical notes from patient-clinician conversations. Powered by Amazon Bedrock, it simplifies integration by leveraging speech recognition and generative AI, without the need for managing machine learning infrastructure. It is available exclusively in the US East (N. Virginia) region (us-east-1). This means that to utilize AWS HealthScribe, your AWS resources, such as Amazon S3 buckets for storing audio files and output data, must be located within the same region. Considering this regional limitation when planning your infrastructure is essential [...]

AWS HealthScribe2025-08-04T05:59:22+00:00

Amazon CodeGuru Profiler

2025-08-04T05:53:30+00:00

Amazon CodeGuru Profiler Cheat Sheet Amazon CodeGuru Profiler is a developer tool that helps you analyze and improve the performance of applications by continuously profiling and identifying performance bottlenecks, inefficient code, and resource-consuming operations. It provides insights into the runtime behavior of your application to optimize the CPU, memory, and overall application performance. Features Performance Profiling: Continuously profiles your applications and provides performance metrics such as CPU usage, memory utilization, and time spent in different functions. Flame Graphs: Visual representation of how much time is spent in each function and how the functions relate to each other, helping developers spot [...]

Amazon CodeGuru Profiler2025-08-04T05:53:30+00:00

Amazon CodeGuru Reviewer

2025-08-04T05:54:19+00:00

Amazon CodeGuru Reviewer Cheat Sheet Amazon CodeGuru Reviewer utilizes program analysis and machine learning to detect potential Java and Python code defects that are typically hard for developers to identify. Available in multiple regions, it offers proactive defect detection, actionable recommendations for resolving issues, and following best practices. By incorporating CodeGuru Reviewer into your code review workflow, you can improve the quality and maintainability of your code from the start. Features Automated Code Reviews: Automatically reviews code in pull requests to detect potential issues. Security Best Practices: Provides security recommendations, including finding vulnerabilities like SQL injection, cross-site scripting, and unhandled [...]

Amazon CodeGuru Reviewer2025-08-04T05:54:19+00:00

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

2025-08-01T09:06:05+00:00

AWS Elastic Disaster Recovery Cheat Sheet It 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 recovery instances in AWS, ensuring minimal downtime and data loss. Features Continuous Replication Block-level replication from on-premises or cloud to AWS. Automated Orchestration Automates failover, recovery, and failback [...]

AWS Elastic Disaster Recovery2025-08-01T09:06:05+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

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