VPC Interface Endpoint vs. Gateway Endpoint in AWS
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 [...]
Switching Your Spot EC2 Instance to a Reserved EC2 Instance
Amazon Elastic Compute Cloud (EC2) is a cloud computing service that instantly provides flexible and scalable resources to deploy virtual servers, called instances. While Spot Instances can save you a significant amount of money, especially for short-lived workloads, there may come a time when you need a more predictable pricing model. This is where Reserved Instances (RIs) come in handy. In this article, we'll explain the reasons for switching from a Spot Instance to [...]
Securing Application Logs with Amazon Comprehend
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. [...]
3 Ways to Fast Track your Cloud Career Journey this 2024
 I usually have a countdown to the end of the year (even as early as the 1st quarter of the year) that acts as a timebox for me to track my goal progression or even catch up with the old aspirations until the earth completes yet another revolution around the sun. We may not accomplish 100% of our targets, but if we keep a positive disposition in life and persistently work on achieving [...]
Building a Simple Video Hosting Service using Amazon CloudFront, Amazon S3, and AWS Amplify
Application Use Case The primary purpose of this application is to share a video as a link and have it accessed by viewers with low latency. This feature is great for those who make quick videos, for example, a short demonstration on how to use an application or a group of academics sharing their explanations to mentor their peers. Overview of the Tech Stack Different video hosting websites cater to [...]
Machine Learning Mathematics: Regression Basics
In recent years, of the ever-evolving landscape of technology, a few of the most prominent buzzwords that continue to capture the imagination of innovators and entrepreneurs alike are Machine Learning (ML) and Artificial Intelligence (AI). With the boom of OpenAI’s ChatGPT last November 2023, as well as the many that followed suit, including major tech companies like Meta with their LLaMa model and Google’s PaLM and newly announced Gemini, ML and AI will most [...]
Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions
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 [...]
Distributed Data Parallel Training with TensorFlow and Amazon SageMaker Distributed Training Library
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 [...]
Securing Machine Learning Pipelines: Best Practices in Amazon SageMaker
Introduction In today's digital era, the importance of security in machine learning (ML) pipelines cannot be overstated. As ML systems increasingly become integral to business operations and decision-making, ensuring the integrity and security of these systems is paramount. A breach or a flaw in an ML pipeline can lead to compromised data, erroneous decision-making, and potentially catastrophic consequences for businesses and individuals alike. This section will delve into why securing ML pipelines is crucial, [...]
HTTP Flood Attack Notification using AWS Lambda, Amazon EventBridge and CloudWatch Logs Insights
We can almost do everything now on the website. Selling clothes, ordering food, video posting, doing business meetings, online classes, and others, you name it. Running a website is very awesome and at the same time hard, especially when bad actors want to mess with it. One sneaky way is an "HTTP Flood Attack," where your website gets bombarded with too many requests. This can slow down or even break your site. Detecting and responding [...]
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