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Cloud Computing

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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

AWS SysOps Renamed to AWS Certified CloudOps Engineer – Associate SOA-C03

2025-09-12T05:36:22+00:00

The AWS Training and Certification team recently announced a change in one of its popular Associate-level AWS certification exams. Effective September 2025, the “AWS Certified SysOps Administrator – Associate” will be called the “AWS Certified CloudOps Engineer – Associate”  to reflect evolving industry terms and the broader scope of modern cloud operations. What's New with the AWS Certified CloudOps Engineer Associate Exam? The decision to rename the existing AWS Certified SysOps Administrator Associate exam to “AWS Certified CloudOps Engineer Associate” is made to further enhance the relevance and credibility of the certification. This better highlights the skills certified professionals have [...]

AWS SysOps Renamed to AWS Certified CloudOps Engineer – Associate SOA-C032025-09-12T05:36:22+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

What is ROUGE Metrics – Recall-Oriented Understudy for Gisting Evaluation?

2025-07-08T11:24:28+00:00

Recall-Oriented Understudy for Gisting Evaluation (ROUGE) Cheat Sheet ROUGE is a family of metrics designed to assess the similarity between machine-generated text (candidate) and human-written reference text (ground truth) in NLP tasks like text summarization and machine translation. Measures how well generated text captures key information and structure from reference text, emphasizing recall (proportion of relevant information preserved). Score Range: 0 to 1, where higher scores indicate greater similarity between candidate and reference texts. Key Use Cases: Evaluating text summarization systems. Assessing machine translation quality. Analyzing content accuracy in generated text. Types of ROUGE Metrics ROUGE-N: Measures the overlap of [...]

What is ROUGE Metrics – Recall-Oriented Understudy for Gisting Evaluation?2025-07-08T11:24:28+00:00

What is Retrieval Augmented Generation (RAG) in Machine Learning?

2025-06-30T03:46:57+00:00

Retrieval-Augmented Generation (RAG) Cheat Sheet Retrieval-Augmented Generation (RAG) is a method that enhances large language models (LLMs) outputs by incorporating information from external, authoritative knowledge sources. Instead of relying solely on pre-trained data, RAG retrieves relevant content at inference time to ground its responses. LLMs (Large Language Models) are trained on massive datasets and use billions of parameters to perform tasks like: Question answering Language translation Text completion RAG extends LLM capabilities to domain-specific or private organizational knowledge without requiring model retraining. It provides a cost-efficient way to improve the relevance, accuracy, and utility of LLM outputs in dynamic or [...]

What is Retrieval Augmented Generation (RAG) in Machine Learning?2025-06-30T03:46:57+00:00

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