Tech Blogs - Tutorials Dojo

DeepSeek in Amazon Bedrock: A Comprehensive Demo
Bookmarks DeepSeek in Amazon Bedrock Workflow Overview DeepSeek in Amazon Bedrock Pre-requisites Implementation Processes As of January 2025, we’re seeing too much news about DeepSeek AI features in many media outlets, but how about implementing DeepSeek AI and AWS workloads? DeepSeek AI in [...]
PHP-FPM Failures Are Killing Your Uptime – Automate Slack Alerts Before It’s Too Late!
In today’s fast-paced digital landscape, where user expectations are at an all-time high, even a few seconds of downtime can have catastrophic consequences. Lost revenue, user dissatisfaction, and damage to your brand reputation are just the tip of the iceberg. If you're still relying on manual methods to monitor [...]
Commanding Genomics: AWS CLI for Bioinformatics Workflows
“This is becoming more troublesome…” I can hear you mumble as you move your mouse to click on the different AWS services you need in the console. As time goes by, it can get tiresome to keep on clicking things for your workflow instead of doing them in just [...]
Simplifying Knowledge Management with a Content Analysis Tool for Confluence
Did you know that organizations spend an average of 19% of their workweek searching for and gathering information? According to research from McKinsey & Company, inefficient knowledge management leads to wasted time and lost productivity—hindering teams from making real progress on meaningful work. (Source, McKinsey) In today’s digital-first environment, [...]
The Path Forward: AI Agents Driving Modern Workflows
Artificial Intelligence (AI) is no longer a concept of the future; it's an integral part of today’s digital era. As AI technology advances, businesses and developers increasingly find innovative ways to integrate machine learning into their workflows. One of the most powerful tools in this transformation is the AI [...]
Enhanced Data Processing and Retrieval with Amazon Bedrock’s New Capabilities
Data is at the heart of modern innovation, and the ability to process, analyze, and extract insights from diverse data types is more important than ever. Amazon Bedrock introduces a suite of advanced capabilities designed to simplify data management and enhance AI-driven applications. By automating workflows, integrating multimodal data, [...]
Troubleshooting AWS Lambda and Amazon DynamoDB Connection Issues
Many consider Amazon DynamoDB to be one of the most effective solutions for handling vast amounts of data in the AWS Cloud. Its serverless architecture and highly scalable design ensure reliable performance, making it suitable for applications that demand fast, consistent, and low-latency access to data. DynamoDB's ability to [...]
Automating File Uploads from Slack to Amazon S3: Harnessing AWS Lambda and Slack API
Efficient management and storage of files is vital for any team’s productivity. Automating the process of uploading files from Slack directly to Amazon S3 using AWS Lambda provides a streamlined and secure method for file storage. This integration guarantees that files shared on Slack are systematically stored in a [...]
Unlocking the Secrets of DNA: Analyzing Genomic Data with AWS
Your DNA has the blueprint for your life. Much like everybody else, as it determines everything from our physical characteristics to our susceptibility to diseases. However, there is the challenge of decoding this complexity efficiently and accurately. With AWS HealthOmics—an AWS service for storing, querying, analyzing, and generating insights [...]
Understanding Resource Groups in Azure
Have you ever wondered how to manage and organize resources in the cloud effectively? With over 95% of companies using Microsoft Azure, mastering Resource Groups is crucial for efficient cloud management. Azure Resource Groups are the cornerstone of managing and organizing resources in Microsoft Azure. Whether you're new 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 [...]

Training an Image Classification Model with TensorFlow in Amazon SageMaker

Introduction In today's digital age, where data is as vital as currency, the power of Machine Learning (ML) in transforming industries is undeniable. From self-driving cars to personalized medicine, ML models are at the heart of many technological breakthroughs. Among the various tools and frameworks available for ML, TensorFlow has emerged as a leader, renowned for its versatility and scalability. This article aims to demystify the process of training an Image Classification model using [...]

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

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 [...]

Building a Deployment Pipeline for a React Application with AWS CodePipeline

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 [...]

Train and Deploy a Scikit-Learn Model in Amazon SageMaker

Introduction In the ever-evolving world of machine learning (ML), the ability to efficiently train and deploy models is crucial for turning innovative ideas into real-world applications. This is where Amazon SageMaker, a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly, stands out. Amazon SageMaker streamlines the machine learning workflow, offering a broad set of capabilities that are designed to enable [...]

Securing LLMs with Guardrails for Amazon Bedrock

One of the pillars of the AWS Well-Architected Framework is security. It is a foundational concept when running your workloads in the cloud to think about privacy, access limits, compliance with regulatory requirements, and data protection; and this includes Amazon Bedrock. Along with several AI announcements during the keynote of AWS CEO, Adam Selipsky during AWS re:Invent 2023 was Guardrails for Amazon Bedrock. As AI technology evolves and becomes more mature, it makes sense [...]