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Switching Your Spot EC2 Instance to a Reserved EC2 Instance

2024-02-14T04:58:57+00:00

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 a Reserved Instance and guide you through the process. Understanding Spot Instances and Reserved Instances: Spot Instances and Reserved Instances are two pricing models available on [...]

Switching Your Spot EC2 Instance to a Reserved EC2 Instance2024-02-14T04:58:57+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

Securing Machine Learning Pipelines: Best Practices in Amazon SageMaker

2024-01-17T00:45:41+00:00

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, highlighting the potential risks and impacts of security lapses. Short Introduction to Amazon SageMaker Amazon SageMaker is a fully managed service that provides every developer and [...]

Securing Machine Learning Pipelines: Best Practices in Amazon SageMaker2024-01-17T00:45:41+00:00

HTTP Flood Attack Notification using AWS Lambda, Amazon EventBridge and CloudWatch Logs Insights

2024-01-25T05:04:59+00:00

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 to such attacks promptly is crucial for maintaining the availability and performance of your applications. In this blog post, we'll explore how to implement a simple [...]

HTTP Flood Attack Notification using AWS Lambda, Amazon EventBridge and CloudWatch Logs Insights2024-01-25T05:04:59+00:00

NEW Product Release: All-in-Access: Courses + PlayCloud Sandbox (AWS) & Play Sandbox (AWS)

2024-03-26T01:17:06+00:00

Brace yourselves for a journey into the cutting-edge realms of tech and education! We're thrilled to announce not one but two incredible products designed to supercharge your learning experience and bring your skills to new heights! 🚀 Get ready to dive into innovation with our super-focused PlayCloud Sandbox (AWS) and All-in-Access: Courses + PlayCloud Sandbox (AWS). Let's explore why these releases are set to revolutionize your learning journey.  PlayCloud Sandbox (AWS) The PlayCloud Sandbox is a secure, isolated AWS environment where you can confidently experiment and run applications at your own pace. With this Playcloud Sandbox product subscription, you get two (2) [...]

NEW Product Release: All-in-Access: Courses + PlayCloud Sandbox (AWS) & Play Sandbox (AWS)2024-03-26T01:17:06+00:00

Building a Deployment Pipeline for a React Application with AWS CodePipeline

2024-01-07T02:48:10+00:00

This is the second part of a series of blogs about the platform management of a React Application infrastructure by adding a continuous deployment component to the earlier infrastructure. In an earlier article, I wrote about how a private react application infrastructure can be deployed with Terraform code. Now, we will explore this further by building a deployment pipeline using AWS CodePipeline. Let's assume that the source code of the React web application is hosted on GitHub. Using the GitHub connections feature of AWS CodePipeline, we can authorize the third-party provider to work with AWS resources to establish integration between [...]

Building a Deployment Pipeline for a React Application with AWS CodePipeline2024-01-07T02:48:10+00:00

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