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The Role of Cloud Computing and AI in Revolutionizing the Automotive Industry

2025-07-16T16:45:47+00:00

If you love cars and tech, you're in for a treat. Imagine a world where your car doesn’t just get you from point A to point B. Instead, it learns, updates itself, and even fixes problems before you even notice them. Thanks to cloud computing and artificial intelligence (AI), this is now possible. In fact, platforms like AWS for automotive are driving the evolution of smarter, more connected vehicles. The car industry is changing fast. It’s no longer just about faster engines or cooler designs anymore. Instead, thanks to these high-tech tools, vehicles are becoming smarter and more connected. From [...]

The Role of Cloud Computing and AI in Revolutionizing the Automotive Industry2025-07-16T16:45:47+00:00

Launching an Amazon EC2 Instance using Terraform

2025-07-17T00:33:56+00:00

What's up, Dojos! This is your first step on automating your cloud infrastructure by launching an EC2 Instance using Terraform!  Efforts from various cloud providers such as AWS made managing your configurations manageable and easy by the use of their Management Consoles. With AWS, launching an EC2 instance, setting up IAM configurations, and VPC provisioning have never been easier within their console. But what if you have to configure large amounts of resources? Provisioning your projects are like a walk in the park, but if you’re managing an application or a business that caters to thousands to millions of customers [...]

Launching an Amazon EC2 Instance using Terraform2025-07-17T00:33:56+00:00

From Alert Fatigue to Intelligent Response: Using AWS Bedrock for Incident Management

2025-05-05T08:52:52+00:00

3 AM Again? Transform Your On-Call Experience with AWS Bedrock Incident Response It's 3 AM, your phone buzzes with another CloudWatch alert, and you're frantically trying to understand what went wrong with limited context. Sound familiar? Usually, cloud operations teams face this overwhelming challenge daily: alerts that lack context, information scattered across multiple systems, and the constant pressure to resolve incidents quickly. Fortunately, AWS Bedrock incident response capabilities now offer a revolutionary solution to this common problem. Why Traditional Incident Response Methods No Longer Work In today's increasingly complex cloud environments, traditional approaches to incident response clearly show their limitations: [...]

From Alert Fatigue to Intelligent Response: Using AWS Bedrock for Incident Management2025-05-05T08:52:52+00:00

Cloud-9.5: Troubleshooting Common WordPress Website Issues

2025-06-12T08:35:32+00:00

Hey, this is Step 5 of our 9-step website portfolio building with AWS! Got lost? Click here to go to the main article, and here for the fourth step!   When working on a project, there is no avoidance of bugs, which sometimes is frustrating, especially when getting stuck over a recurrent issue. This article discusses common mistakes and bugs, the strategies that can be effectively used to troubleshoot them, and tips on how to solve them more efficiently and confidently.   1. Common Mistake: Keeping the Default 8GB Storage Size for Your Amazon EC2 Instance When launching an Amazon [...]

Cloud-9.5: Troubleshooting Common WordPress Website Issues2025-06-12T08:35:32+00:00

Security in AWS Data Engineering: Best Practices and Strategies

2024-11-29T00:42:48+00:00

Bookmarks The AWS Shared Responsibility Model Use AWS Data Encryption Use Identity and Access Management (IAM) Implement Network Security Monitoring and Logging Compliance Standards Data Governance Secure Data Storage Backup and Disaster Recovery Automating Security Practices Conclusion: Proactive Security Measures for Data Engineers References In today's world of Cloud Computing, data engineering security and compliance are very important for companies that manage sensitive information. Data engineers that are using Amazon Web Services (AWS) must protect their data while following regulatory standards. Many organizations now use [...]

Security in AWS Data Engineering: Best Practices and Strategies2024-11-29T00:42:48+00:00

PartyRock: AI Python Code Checker for Tech Interview Simulation

2024-11-05T09:32:12+00:00

Bookmarks What is Party Rock? AI Code Checker Tools Comparison UI Components of our PartyRock-based Python Code Checker Python Interview Topics Covered by the PartyRock app Use-cases and Applications of PartyRock-based Python Code Checker  Hands-on Exercise: Getting Started with PartyRock Final Remarks References Are you a recent college graduate or someone transitioning into a tech career, striving to succeed in coding interviews focused on Python? Indeed, Python ranks among the most common and flexible programming languages in the tech world. Perhaps you have explored various ways to study Python [...]

PartyRock: AI Python Code Checker for Tech Interview Simulation2024-11-05T09:32:12+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

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

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

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