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Basics of the Basics to AWS – Part 0: Where do we begin?

2024-05-05T12:37:39+00:00

This 6-part series is inspired from a talk I gave on the AWS Student Community Day 2024 Philippines. Through this series, I will be teaching you the basics of AWS through a gimmick I call “Build an App with Me”. This gimmick will be about us trying to model an application’s system architecture through the use of AWS services. Through this gimmick, I aim to give you all a better understanding of when and where we should use different AWS services because I believe that the best way to learn is through application. A few of the 200+ AWS [...]

Basics of the Basics to AWS – Part 0: Where do we begin?2024-05-05T12:37:39+00:00

Amazon Q

2024-04-25T06:52:12+00:00

Bookmarks Features Sub-modules 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. Types Amazon Q Business: This version of Amazon Q can be customized to your business by connecting it to your company’s data, information, and systems. Amazon Q Developer: This version [...]

Amazon Q2024-04-25T06:52:12+00:00

Enabling Virtual Deliverability Manager in Amazon Simple Email Service (Amazon SES)

2024-04-11T01:38:00+00:00

Amazon Simple Email Service (SES) offers a cloud-based solution tailored for digital marketers and application developers aiming to distribute various emails, including marketing emails, notifications, and transaction-based communications. This service stands out for its reliability and cost-efficiency, making it an ideal choice for enterprises of varying sizes wishing to maintain consistent communication with their clientele. Amazon Simple Email Service (SES) addresses the intricate challenges associated with large-scale email dispatches by offering a suite of features designed to refine your email distribution strategy. These include the management of IP addresses, content filtering capabilities, and access to detailed sending analytics, thereby enhancing [...]

Enabling Virtual Deliverability Manager in Amazon Simple Email Service (Amazon SES)2024-04-11T01:38:00+00:00

Building Data Pipelines with No-Code ETL Using AWS Glue Studio

2024-04-03T00:33:32+00:00

Introduction Welcome to the dynamic world of AWS Data Engineering! This beginner-friendly guide introduces you to the essentials of data staging and transformation within the AWS ecosystem without needing to code. By exploring the foundational use of Amazon S3 and AWS Glue, this guide provides a practical starting point for understanding how AWS data is handled and processed. Whether you're aiming for certification or looking to apply these skills in practical scenarios, this guide sets the groundwork for your future in data engineering. Preparation: Navigating Through Sample Datasets In this article, we'll work with 3 main datasets for a fictional [...]

Building Data Pipelines with No-Code ETL Using AWS Glue Studio2024-04-03T00:33:32+00:00

Amazon EC2 Reserved Instance Purchasing Option and its Different Payment Terms

2024-02-22T07:01:37+00:00

In today's fast-paced digital era, businesses rely heavily on cloud computing services to manage their operations efficiently. When it comes to cloud computing, one of the key decisions involves choosing the right instance purchasing options. With various options available, it can be overwhelming to determine the most suitable approach. In this article, we will focus on Reserved Instance purchasing options, payment terms, and significance for business. By the end, you'll have a clear understanding of which option aligns best with your payment terms. Reserved Instances Reserved Instances provide a significant cost advantage for applications with steady-state or predictable usage patterns. [...]

Amazon EC2 Reserved Instance Purchasing Option and its Different Payment Terms2024-02-22T07:01:37+00:00

My AWS Certified SYSOPS Administrator – Associate (SOA-C02) Exam Experience

2024-02-21T00:19:52+00:00

I recently took and passed the AWS Certified SysOps Administrator Associate Exam and wanted to share my experience. This was a challenging yet rewarding journey, and I hope my insights will help those planning to take the same path. About the Exam The AWS Certified SysOps Administrator Associate ( SOA-C02 ) is consistently among the top paying IT certifications, considering that Amazon Web Services is the leading cloud services platform in the world with almost 50% market share! The AWS Certified SysOps Administrator Associate exam is specifically designed to validate the technical knowledge of AWS SysOps Administrators, Systems Administrators, and those in a DevOps role [...]

My AWS Certified SYSOPS Administrator – Associate (SOA-C02) Exam Experience2024-02-21T00:19:52+00:00

VPC Interface Endpoint vs. Gateway Endpoint in AWS

2024-02-16T03:44:21+00:00

What is a VPC Endpoint? With a VPC endpoint, you can establish a private connection to specific AWS services and VPC endpoint services through AWS PrivateLink. It eliminates the need for public IP addresses for communication between these services and your Amazon VPC instances. Furthermore, a secure connection is maintained since no information leaves the Amazon network while traveling between your Amazon VPC and the service. VPC endpoints are virtual devices that enable communication between instances in an Amazon VPC and various services. These endpoints enhance network traffic without compromising availability or restricting bandwidth. They are designed to scale horizontally, [...]

VPC Interface Endpoint vs. Gateway Endpoint in AWS2024-02-16T03:44:21+00:00

Securing Application Logs with Amazon Comprehend

2024-02-07T03:19:12+00:00

Security is one of the more overlooked aspects that many fall victim to when designing the architecture of applications. Partnering this lack of security priority with the increasing value of personal user data, security breaches become one of the certain ways for companies to lose user trust, face legal charges, and, in the long run, fail.  Various governments developed data compliance laws to set minimum guidelines for security in data handling by data stakeholders. These laws govern the collecting, processing, storing, and sharing of personal and sensitive information to protect individuals' privacy and data security. Although regulations may vary depending [...]

Securing Application Logs with Amazon Comprehend2024-02-07T03:19:12+00:00

Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions

2024-01-24T01:07:44+00:00

This is the final part of a three-part article about a Web Application Project from building a private infrastructure to building a deployment pipeline using AWS’ cloud-native continuous delivery service AWS CodePipeline, and now finalizing the infrastructure to be accessible in a public domain and building a pipeline for continuous deployment using a third-party CD tool – GitHub Actions. From the private infrastructure previously built, we will update the S3 policy to add a statement for an allowed action for the CloudFront resource. As best practice, this statement will be added to the Terraform script of the infrastructure to make it [...]

Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions2024-01-24T01:07:44+00:00

Distributed Data Parallel Training with TensorFlow and Amazon SageMaker Distributed Training Library

2024-01-22T00:58:08+00:00

Introduction In the realm of machine learning, the ability to train models effectively and efficiently stands as a cornerstone of success. As datasets grow exponentially and models become more complex, traditional single-node training methods increasingly fall short. This is where distributed training enters the picture, offering a scalable solution to this growing challenge. Distributed Training Overview Distributed training is a technique used to train machine learning models on large datasets more efficiently. By splitting the workload across multiple compute nodes, it significantly reduces training time. There are two main strategies in distributed training: data parallelism, where the dataset is partitioned [...]

Distributed Data Parallel Training with TensorFlow and Amazon SageMaker Distributed Training Library2024-01-22T00:58:08+00:00

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