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Troubleshooting AWS Lambda and Amazon DynamoDB Connection Issues

2025-01-24T09:29:31+00:00

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 handle large datasets while having steady integration with other AWS services further makes it appropriate for data-driven features. Its serverless design and usability help AWS Lambda functions to process data efficiently, making it ideal for building high-performance and reliable applications. However, integrating these two AWS applications doesn't always work seamlessly as [...]

Troubleshooting AWS Lambda and Amazon DynamoDB Connection Issues2025-01-24T09:29:31+00:00

AWS Reserved Instance Management Made Easy with Slack Alerts

2024-12-26T04:14:08+00:00

In today's fast-changing world of cloud computing, it's crucial to manage AWS resources efficiently. One important task is keeping track of Reserved Instances (RIs) to save costs and use resources wisely. This guide will show you how to set up a simple system that sends AWS Reserved Instance alerts to Slack, helping you stay on top. Reserved Instances (RIs) can save you a lot of money compared to On-Demand pricing in AWS. But if you don't monitor them properly, they can expire without you noticing, leading to unexpected costs. You can stay informed about upcoming expirations by quickly automating alerts [...]

AWS Reserved Instance Management Made Easy with Slack Alerts2024-12-26T04:14:08+00:00

Mastering Prompt Engineering for AWS Large Language Models (LLMs)

2024-11-30T03:16:36+00:00

In the rapidly evolving world of Artificial Intelligence (AI) and Machine Learning (ML), Prompt Engineering has become a cornerstone skill for effectively harnessing the power of Large Language Models (LLMs). These models transform industries, power intelligent chatbots, automate workflows, and redefine customer experiences. Yet, the key to unlocking their full potential is crafting clear, precise prompts tailored to specific tasks. Far from being a mere technical skill, Prompt Engineering shapes the interaction between humans and AI, directly influencing the accuracy, efficiency, and reliability of AI-driven solutions. This skill takes on even greater importance in the AWS ecosystem with tools like [...]

Mastering Prompt Engineering for AWS Large Language Models (LLMs)2024-11-30T03:16:36+00:00

Retrieval-Augmented Generation (RAG) for Foundation Model Customization

2024-12-02T06:01:45+00:00

Artificial Intelligence (AI) has rapidly advanced, pushing the limits of what machines can accomplish. However, one significant challenge remains: ensuring that AI responses are both accurate and contextually relevant while being up-to-date. This is where Retrieval-Augmented Generation (RAG) comes in—a cutting-edge approach that integrates the capabilities of data retrieval with advanced AI generation techniques. In this blog, we will explore the details of RAG, discussing its benefits, applications, and how to implement it using AWS. Understanding Retrieval-Augmented Generation (RAG) RAG (Retrieval-Augmented Generation) incorporates real-time data retrieval into the generative process. Unlike traditional models that depend solely on pre-trained data, RAG [...]

Retrieval-Augmented Generation (RAG) for Foundation Model Customization2024-12-02T06:01:45+00:00

Understanding Your API: The API-verse

2024-11-20T10:40:35+00:00

In this blog, I will guide you through understanding the various types of APIs. You'll learn about different API classifications you can use for your next project and when to implement each one. This high-level overview of API varieties will expand your knowledge and help you become well-versed in how each API functions. What is an API? (Application Programming Interface) An API or Application Programming Interface acts as a bridge between different software allowing them to communicate, share data, and functionalities effortlessly. Think of it this way: Imagine a customer, a waiter, and the kitchen. The waiter acts as the [...]

Understanding Your API: The API-verse2024-11-20T10:40:35+00:00

Automate CloudFront Invalidation via Slack

2024-10-25T10:03:51+00:00

In today's digital age where most people are using gadgets, we're likely familiar with the term "cache". Most of us first hear about cache when looking to free up storage or improve performance on our mobile devices especially for android users. If we look at our device's settings then navigate to the storage of an application, we will see two options: one is to delete the app entirely, and the other one is to clear its cache. Of course if you're still using your application, you'll click the second option. And after it, voila! Your application seems to run smoother. [...]

Automate CloudFront Invalidation via Slack2024-10-25T10:03:51+00:00

Amazon SageMaker Data Wrangler

2025-12-12T05:15:52+00:00

Amazon SageMaker Data Wrangler Cheat Sheet Amazon SageMaker Data Wrangler streamlines data preparation and feature engineering for machine learning.  Amazon SageMaker Data Wrangler is a feature in Amazon SageMaker Studio Classic. It integrates data from various sources, allows you to explore, clean, transform, and visualize data, and automates these steps in your machine-learning workflow. Amazon SageMaker Data Wrangler Core Functionalities Data Wrangler provides core functionalities to facilitate data analysis and preparation in machine learning. Import Easily access and import data stored in cloud-based data warehouses and data lakes, such as Amazon S3, Athena, Redshift, Snowflake, and Databricks. The dataset you import [...]

Amazon SageMaker Data Wrangler2025-12-12T05:15:52+00:00

RI Utilization vs RI Coverage: Difference Between these Amazon EC2 Reserved Instance Metrics

2024-09-24T09:51:54+00:00

The Amazon EC2 enables developers up to businesses to deploy their own applications with flexibility, high availability, and cost-efficiency as it removes the need to invest in physical hardwares or servers. From running applications, hosting websites, and managing databases, EC2 serves as the foundation for anything that is cloud-based. Talking about its cost-efficiency, there are different "Instance Purchasing Options" that you can choose from depending on your server requirements and also your financial capabilities. And these are: On-Demand Instances, Spot Instances, Reserved Instances, Dedicated Host, Savings Plans, and Capacity Reservation. As I would like to discuss the difference between those [...]

RI Utilization vs RI Coverage: Difference Between these Amazon EC2 Reserved Instance Metrics2024-09-24T09:51:54+00:00

How to Install Docker on Ubuntu using Amazon EC2

2024-09-20T08:10:46+00:00

This tutorial will assist in setting up Docker on an Amazon EC2 Ubuntu instance. Docker's containerization and Ubuntu's user-friendliness make cloud application deployment and management simple. Amazon EC2 provides scalable infrastructure for hosting Docker containers, allowing for smooth app management and scaling. To easily set up Docker on your EC2 instance, just follow this tutorial. What is Docker? Docker is an open-source platform that simplifies the process of building, deploying, and managing applications within isolated containers. These containers bundle the application code along with all its dependencies, ensuring the software behaves the same across different environments, whether on a local [...]

How to Install Docker on Ubuntu using Amazon EC22024-09-20T08:10:46+00:00

Amazon SageMaker Feature Store

2025-12-12T05:11:22+00:00

Amazon SageMaker Feature Store Cheat Sheet Amazon SageMaker Feature Store is a centralized repository for managing machine learning features. It simplifies the process of data exploration, model training, and batch predictions by providing a unified view of your features. Enhances ML model development and deployment efficiency. How does it work? SageMaker Feature Store stores features in feature groups. A feature group is a collection of related features that can be used for a specific task. Feature groups can be created from various data sources, such as Amazon S3, Amazon RDS, and Amazon DynamoDB. There are three modes that a feature [...]

Amazon SageMaker Feature Store2025-12-12T05:11:22+00:00

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