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Home » Collections for Nestor Mayagma Jr.

About Nestor Mayagma Jr.

Nestor is a cloud engineer and content creator at Tutorials Dojo who is proficient in designing, building, and automating solutions on Amazon Web Services. He is also a member of the AWS Community Builders program and holds four AWS certifications. He continues to expand his expertise in multicloud technologies across AWS, Microsoft Azure, and Google Cloud.

Building a Secure Cross-Account Backup Solution for Amazon RDS Snapshots

2026-11-09T17:39:26+00:00

Database backups are a critical component of any organization's disaster recovery and business continuity strategy. Whether an application supports financial transactions, customer records, healthcare systems, or internal business operations, protecting its database against accidental deletion, infrastructure failures, and security incidents is essential. Amazon Relational Database Service (Amazon RDS) simplifies database protection by providing automated backups and snapshots. These capabilities allow organizations to recover databases from previous states without manually managing the underlying backup infrastructure. However, maintaining backups exclusively within the same AWS account introduces another consideration: What happens if the AWS account containing the production database becomes compromised, inaccessible, or [...]

Building a Secure Cross-Account Backup Solution for Amazon RDS Snapshots2026-11-09T17:39:26+00:00

AWS Data Transfer Terminal

2026-06-12T11:19:19+00:00

Bookmarks Core Features Key Benefits Common Use Cases AWS Data Transfer Terminal Security Notes AWS Data Transfer Terminal Pricing AWS Data Transfer Terminal Cheat Sheet AWS Data Transfer Terminal is a secure, network-ready physical location where customers bring their own storage devices and transfer large datasets to AWS using high-throughput network connectivity. It is currently available for AWS Enterprise customers that need faster ingestion than normal internet uploads or shipping-based workflows.   Core Features Secure physical transfer facility - Data Transfer Terminal offers secure locations for transfer teams to upload data to [...]

AWS Data Transfer Terminal2026-06-12T11:19:19+00:00

Claude Managed Agents

2026-05-21T06:48:34+00:00

Bookmarks Core Concepts Agent Environment Session Events Tools MCP (Model Context Protocol) Key Features Claude Managed Agents Cheat Sheet Claude Managed Agents is Anthropic’s hosting environment for AI agents. Instead of constructing: orchestration sandboxes long-running sessions memory systems tool execution retries/checkpointing observability …Anthropic manages the infrastructure for you. Think of it as: Traditional Agent Stack Claude Managed Agents You host infrastructure Anthropic hosts infrastructure You build harness/orchestrator Built-in orchestration You manage containers Managed sandboxes You persist memory/state Managed sessions You implement tracing Built-in observability You handle scaling/recovery Managed automatically [...]

Claude Managed Agents2026-05-21T06:48:34+00:00

Real-time Personally Identifiable Information (PII) Redaction Pipeline with S3 + Lambda + Comprehend

2026-02-28T18:45:48+00:00

In my previous article, I demonstrated how to use the Amazon Comprehend console to manually detect and redact Personally Identifiable Information (PII) from text files. While this hands-on method is excellent for learning the fundamentals of PII detection, it’s not practical in real-world, high-volume environments where speed and accuracy are essential. In such scenarios, organizations need more than just a simple, one-time approach—they require a robust, fully automated pipeline that sanitizes sensitive data as soon as it enters the system, without the need for manual intervention. This article will walk you through the creation of an automated workflow that solves [...]

Real-time Personally Identifiable Information (PII) Redaction Pipeline with S3 + Lambda + Comprehend2026-02-28T18:45:48+00:00

GitHub Container Registry

2026-02-02T11:34:17+00:00

Bookmarks Features Setup & Authentication Naming Convention Permissions & Security Common Use Cases GHCR vs Docker Hub GitHub Container Registry Cheat Sheet Store, manage, and distribute Docker & OCI container images. Seamlessly works with GitHub repositories, GitHub Actions, and fine-grained access controls. Supported Formats: Docker Image Manifest V2, Schema 2 Open Container Initiative (OCI) specifications Features You can host and manage container images directly in GitHub. Access can be controlled either by linking to repository permissions or by defining granular package-level permissions. Authentication can be performed using either GITHUB_TOKEN (for workflows [...]

GitHub Container Registry2026-02-02T11:34:17+00:00

AZ-700 Microsoft Azure Network Engineer Associate Exam Study Path

2025-12-19T13:50:04+00:00

Bookmarks Study Materials Azure Services to Focus On Final Remarks The AZ-700 Microsoft Azure Network Engineer Associate certification is designed for network engineers who are responsible for designing, implementing, and managing Azure networking solutions. This role focuses on planning and deploying core network infrastructure, hybrid connectivity, routing, load balancing, and network security to support cloud and hybrid environments. The certification validates skills in configuring virtual networks, implementing secure connectivity, managing traffic, and monitoring and troubleshooting network performance. Candidates are expected to have a strong understanding of networking concepts and experience operating Azure-based or hybrid [...]

AZ-700 Microsoft Azure Network Engineer Associate Exam Study Path2025-12-19T13:50:04+00:00

Automating PII Detection and Redaction with Amazon Comprehend

2026-01-08T08:21:54+00:00

Organizations today are entrusted with enormous amounts of sensitive information. Customer support logs, healthcare records, financial transactions, and even training datasets often contain Personally Identifiable Information (PII) such as names, phone numbers, email addresses, or credit card numbers. Protecting this information is not just a matter of compliance with regulations like GDPR, HIPAA, or PCI DSS. It is also central to maintaining customer trust and reducing the risk of data breaches. Amazon Comprehend, a managed natural language processing (NLP) service, provides a powerful way to automate the detection and redaction of PII. Instead of relying on manual review or custom [...]

Automating PII Detection and Redaction with Amazon Comprehend2026-01-08T08:21:54+00:00

Prevent Unforeseen Azure Costs: Setting Up Automated Slack Alerts for Your Subscription

2025-10-01T08:48:15+00:00

Cloud computing gives companies access to cutting-edge services, flexibility, and scalability. Effective cost management, however, is one of the main challenges to cloud adoption. Despite Azure's robust offerings, businesses risk unexpectedly high costs if they don't have active monitoring. Image generated by Gemini This is where cost monitoring and automated notifications come into play. By proactively tracking cloud expenses and sending cost summaries to communication platforms like Slack, teams can take immediate action, enforce budgets, and maintain financial governance. In this article, we’ll walk through building a cost notifier system that fetches Azure subscription costs, breaks them down by service, and [...]

Prevent Unforeseen Azure Costs: Setting Up Automated Slack Alerts for Your Subscription2025-10-01T08:48:15+00:00

Amazon SageMaker Clarify

2025-12-12T05:19:31+00:00

Bookmarks Key Capabilities Core Components Configuration Components Bias Metrics Overview SHAP Explainability Validate Your Knowledge Amazon SageMaker Clarify Cheat Sheet Amazon SageMaker Clarify is a SageMaker AI feature for detecting bias and explaining model predictions. Supports both pre-training and post-training bias analysis. Provides feature attribution to explain how input features influence predictions. Can monitor deployed models for bias drift and feature attribution drift over time. Key Capabilities Bias Detection Pre-training bias: Analyzes datasets before model training. Post-training bias: Evaluates model predictions for fairness across facets. Supports binary, multiclass, and regression tasks. Interpreting [...]

Amazon SageMaker Clarify2025-12-12T05:19:31+00:00

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