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About Irene Bonso

Irene Bonso is currently thriving as a Junior Software Engineer at Tutorials Dojo and also an active member of the AWS Community Builder Program. She is focused to gain knowledge and make it accessible to a broader audience through her contributions and insights.

Enhanced Data Processing and Retrieval with Amazon Bedrock’s New Capabilities

2025-01-27T06:56:57+00:00

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, and bridging structured and unstructured data, Amazon Bedrock empowers businesses to turn raw information into actionable intelligence, driving efficiency and scalability across industries. Key Features and Capabilities of Amazon Bedrock Amazon Bedrock brings a suite of enhanced capabilities that address critical challenges in data management. Here’s a closer look at the [...]

Enhanced Data Processing and Retrieval with Amazon Bedrock’s New Capabilities2025-01-27T06:56:57+00:00

Understanding AWS Responsible AI: Key Concepts and Dimensions

2024-12-02T04:56:02+00:00

As AI becomes a bigger part of our lives, it’s important to make sure it’s used responsibly. Responsible AI means building and using AI systems in ways that are ethical, fair, and accountable. AWS provides a range of tools to help organizations build AI systems that follow these principles. In this blog, we’ll look at what responsible AI is, the key dimensions of responsible AI on AWS, and the tools available to support these practices. Understanding Generative AI Generative AI is a subset of artificial intelligence that utilizes machine learning models to generate new content. This includes text, images, videos, audio, [...]

Understanding AWS Responsible AI: Key Concepts and Dimensions2024-12-02T04:56:02+00:00

Setting up Slack notifications on Tag Modifications for EC2 Instances

2024-10-31T00:44:52+00:00

Monitoring resource configurations in a dynamic cloud environment is important, especially in production. One essential aspect of managing AWS resources, such as Amazon EC2 instances, is tracking tag modifications. Tags are not just labels but vital in organizing resources, enabling billing allocation, and enforcing compliance policies. Any unintentional tag modification can disrupt operations or mislead resource management, making timely alerts vital. This article will guide you through setting up automated Slack notifications to alert your team whenever a tag modification occurs on production EC2 instances. Using a combination of Amazon EventBridge, AWS Lambda, and Slack API, you can create a [...]

Setting up Slack notifications on Tag Modifications for EC2 Instances2024-10-31T00:44:52+00:00

Amazon SageMaker Data Wrangler

2024-10-03T13:28:49+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 Wrangler2024-10-03T13:28:49+00:00

Amazon SageMaker Feature Store

2024-09-20T07:08:44+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 Store2024-09-20T07:08:44+00:00

How to configure AWS Lambda Function URL with Cross-Origin Resource Sharing

2024-09-20T00:43:02+00:00

Get started learning how to build your first-ever Python Labs Client App, a web application that leverages the power of serverless computing. This creative application is primarily designed to cater to individuals eager to enhance their Python programming skills. By using the flexibility and scalability of AWS Lambda, you'll be able to create dynamic and interactive web experiences without the hassle of managing infrastructure. This Python Code Playground will be a valuable tool for developers of all levels, providing a hands-on environment to experiment with Python code and learn new concepts. Explore our TechKubo Tutorials for a comprehensive collection of [...]

How to configure AWS Lambda Function URL with Cross-Origin Resource Sharing2024-09-20T00:43:02+00:00

Migration Evaluator Cheat Sheet

2024-09-13T07:55:06+00:00

Migration Evaluator Cheat Sheet Migration Evaluator is a service that helps organizations assess their on-premises infrastructure and plan a migration to AWS. It provides insights into the costs of running current workloads on AWS and recommends optimized AWS resources based on usage patterns. Migration Evaluator Use Cases Use the Agentless Collector for broad discovery of your infrastructure or securely upload existing inventory data for analysis and insights. Capture a snapshot of your current on-premises environment to optimize software licensing, map server dependencies, and explore various migration strategies. Assess your current state, define a target AWS state, and create a migration [...]

Migration Evaluator Cheat Sheet2024-09-13T07:55:06+00:00

How to Change an AWS ACM Certificate on Amazon CloudFront Distribution

2024-08-28T00:00:15+00:00

Before diving into the steps on how to change an AWS ACM-generated SSL Certificate, it’s important to understand the basics and benefits of this service. Having a solid understanding will provide context for the actions we are about to take and help us appreciate the value AWS Certificate Manager (ACM) brings to the table. What is the AWS Certificate Manager (ACM)?  AWS Certificate Manager (ACM) is a service designed to streamline the provisioning, management, and deployment of public and private SSL/TLS certificates. These certificates are essential for securing network communications and verifying the identity of websites on the Internet, as [...]

How to Change an AWS ACM Certificate on Amazon CloudFront Distribution2024-08-28T00:00:15+00:00

Real-Time AWS Health Dashboard Updates via Slack Notifications

2024-09-02T06:38:58+00:00

In an organization or for users that use cloud services, staying updated with the status and health of cloud services is crucial. It's not just about maintaining operational efficiency and minimizing downtime; it's also about peace of mind and ensuring a seamless experience for both the team and customers. The AWS Health Dashboard provides detailed information about the health of AWS services and resources. To ensure timely awareness of any issues or updates, integrating the AWS Health Dashboard with communication tools like Slack can be highly effective. This integration allows for real-time notifications, ensuring that relevant teams are immediately informed [...]

Real-Time AWS Health Dashboard Updates via Slack Notifications2024-09-02T06:38:58+00:00

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