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Home » Collections for Nestor Mayagma Jr. » Page 3

About Nestor Mayagma Jr.

Nestor is a cloud engineer and content creator at Tutorials Dojo. He's been an active AWS Community Builder since 2022, with a growing interest in multi-cloud technologies across AWS, Azure, and Google Cloud. In his leisure time, he indulges in playing FPS games.

Retrieval-Augmented Generation (RAG) for Foundation Model Customization

2024-12-02T06:01:45+00:00

Artificial Intelligence (AI) has rapidly advanced, pushing the limits of what machines can accomplish. However, one significant challenge remains: ensuring that AI responses are both accurate and contextually relevant while being up-to-date. This is where Retrieval-Augmented Generation (RAG) comes in—a cutting-edge approach that integrates the capabilities of data retrieval with advanced AI generation techniques. In this blog, we will explore the details of RAG, discussing its benefits, applications, and how to implement it using AWS. Understanding Retrieval-Augmented Generation (RAG) RAG (Retrieval-Augmented Generation) incorporates real-time data retrieval into the generative process. Unlike traditional models that depend solely on pre-trained data, RAG [...]

Retrieval-Augmented Generation (RAG) for Foundation Model Customization2024-12-02T06:01:45+00:00

AWS Console-to-Code: Seamlessly Transform Manual Actions into Reusable Code

2024-10-29T08:00:35+00:00

Cloud computing today demands efficiency and automation like never before. AWS Console-to-Code is an innovative tool designed to bridge manual operations with automated infrastructure management. By transforming console actions into reusable Infrastructure-as-Code (IaC), this feature streamlines workflows, enhances consistency, and accelerates deployment processes. This article will guide you through the process of implementing AWS Console-to-Code to launch Amazon EC2, VPC, and RDS. What is AWS Console-to-Code? AWS Console-to-Code utilizes Amazon Q Developer to simplify the process of automatically converting your console actions into reusable code snippets. Whether you're setting up an EC2 instance or configuring a VPC, AWS Console-to-Code can generate code in [...]

AWS Console-to-Code: Seamlessly Transform Manual Actions into Reusable Code2024-10-29T08:00:35+00:00

Streamline Your Workflow: Automating User Email Retrieval in WordPress with AWS SSM and Lambda via Slack command

2024-10-24T11:16:45+00:00

In today’s fast-paced digital environment, operational efficiency and security are important. This blog post explores a streamlined approach to retrieving user emails from specific IPs in WordPress using Slack Slash commands powered by AWS Systems Manager (SSM) and AWS Lambda. Automating this process significantly reduces the operational overhead associated with running SQL commands manually. Additionally, this method enhances security by allowing users who lack access to production environments to execute necessary scripts through Slack commands, ensuring they can perform their tasks without compromising system integrity. Retrieving User Emails in WordPress via MySQL To retrieve user emails from WordPress based on [...]

Streamline Your Workflow: Automating User Email Retrieval in WordPress with AWS SSM and Lambda via Slack command2024-10-24T11:16:45+00:00

Transferring an Amazon Route 53 Domain to Another AWS Account: Troubleshooting DNS Propagation

2024-08-28T06:02:20+00:00

I recently transferred my domain to a different AWS account. However, despite waiting for the standard 24-48-hour DNS propagation period, I noticed the changes were not propagating as expected. In this article, we’ll delve into the steps I followed, potential pitfalls, and solutions to ensure a smooth domain transfer process. DNS propagation is the process of updating and reflecting changes made to your domain's DNS records across all DNS servers worldwide. When you make changes to DNS records, for example, updating your domain's IP address or name servers, these changes need to be communicated to all DNS servers on the [...]

Transferring an Amazon Route 53 Domain to Another AWS Account: Troubleshooting DNS Propagation2024-08-28T06:02:20+00:00

Path-Based Routing with Application Load Balancer (AWS ALB): Efficiently Directing Traffic Based on URL Paths

2024-08-11T13:05:16+00:00

An Application Load Balancer enables you to set up a listener with rules that direct incoming requests to target groups based on the URL. This capability is unique to Application Load Balancers and is not offered by other load balancer types like Classic Load Balancer, Network Load Balancer, and Gateway Load Balancer. The path pattern rules only apply to the path of the URL and do not consider the URL's query parameters. Path-based routing allows you to host multiple microservices behind a single ALB, directing traffic to the appropriate service based on the requested path. Important Purposes of Path-based Routing [...]

Path-Based Routing with Application Load Balancer (AWS ALB): Efficiently Directing Traffic Based on URL Paths2024-08-11T13:05:16+00:00

Setting Up Real-Time Slack Notifications for Amazon EC2 and EBS Events: A Step-by-Step Guide

2024-05-10T11:52:17+00:00

Overview Stay updated with your Amazon EC2 and EBS events directly through your Slack channel. This guide will walk you through the process of setting up a system that sends a Slack notification for the following events: Creation of an AMI: Notifies when an Amazon Machine Image (AMI) is being created from an EC2 instance. This is represented by the CreateImage event. Rebooting of an EC2 Instance: Alerts when an instance is undergoing a reboot. Stopping of an EC2 Instance: Informs when an instance is entering a stopping state. Stopped State of an EC2 Instance: Confirms when an instance has reached a [...]

Setting Up Real-Time Slack Notifications for Amazon EC2 and EBS Events: A Step-by-Step Guide2024-05-10T11:52:17+00:00

Amazon Q

2025-11-25T11:49:38+00:00

Bookmarks Features Sub-modules Security Pricing References Amazon Q Cheat Sheet Amazon Q is an AI assistant that’s designed to be generative, meaning it can generate content, solve problems, and perform tasks using the data and expertise within your company. Use Cases Amazon Q is designed to provide quick and relevant answers to questions, streamline tasks, speed up decision-making, and foster creativity and innovation at work. Business Insights: With QuickSight integration, Q can combine unstructured (docs) + structured data (dashboards / databases) to answer questions like “What's our revenue trend + narrative?”. Customer Service: [...]

Amazon Q2025-11-25T11:49:38+00:00

Amazon Managed Workflows for Apache Airflow

2025-11-22T09:19:33+00:00

Bookmarks Key Features Security Pricing References Amazon Managed Workflows for Apache Airflow (MWAA) Cheat Sheet Amazon MWAA is a service that helps you manage and automate your data workflows using Apache Airflow. Workflows are designed as Directed Acyclic Graphs (DAGs) using Python. Use Cases Complex Data Workflows: Handles complex data processing tasks. ETL Jobs: Coordinates Extract, Transform, Load (ETL) processes. Machine Learning: Prepares datasets for machine learning models. Data Orchestration Across AWS Services: Easily integrates with S3, Redshift, Lambda, and RDS for orchestrated workflows. Event-Driven Workflows: Can trigger DAGs based on events from EventBridge [...]

Amazon Managed Workflows for Apache Airflow2025-11-22T09:19:33+00:00

AWS Glue Data Quality

2026-01-07T16:51:16+00:00

Bookmarks Features Pricing References AWS Glue Data Quality Cheat Sheet AWS Glue Data Quality is a service that provides a way to monitor and measure the quality of your data. It’s part of the AWS Glue service and is built on the open-source DeeQu framework. Supports data quality checks on AWS Lake Formation managed Iceberg, Delta Lake, and Hudi tables. Integrates with Amazon SageMaker AI Lakehouse tables for unified analytics and governance. Can be used alongside zero ETL integrations to validate data ingested from supported AWS services. Use Cases Analyzing data sets that are [...]

AWS Glue Data Quality2026-01-07T16:51:16+00:00

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