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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

Enabling the Account-Level Suppression List in Amazon SES

2024-08-29T05:43:23+00:00

Amazon Simple Email Service (SES) is a powerful tool that enables businesses to send bulk and transactional emails to customers. It provides a reliable and scalable platform for sending marketing campaigns, transactional notifications, or customer communications. However, maintaining a good sender reputation and adhering to email regulations are critical for successful email delivery. To help manage email deliverability effectively, Amazon SES offers account-level suppression lists, which are a valuable feature. A suppression list is a compilation of email addresses you want to omit from your email campaigns. These email addresses usually belong to individuals who have unsubscribed from your emails, [...]

Enabling the Account-Level Suppression List in Amazon SES2024-08-29T05:43:23+00:00

Understanding Security Groups and Network Access Control Lists (NACLs) in AWS

2024-08-26T09:31:42+00:00

Security within cloud environments is a critical consideration, and AWS offers robust tools to ensure that your cloud infrastructure remains secure. Two critical components in AWS for managing security are Security Groups and Network Access Control Lists (NACLs). These tools act as virtual firewalls, controlling the traffic that enters and exits your Virtual Private Cloud (VPC). While they serve similar purposes, they operate differently and are used in distinct scenarios to provide layered security. Security Groups: Instance-Level Security Security Groups in AWS are designed to control inbound and outbound traffic at the instance level. They are stateful, meaning that if [...]

Understanding Security Groups and Network Access Control Lists (NACLs) in AWS2024-08-26T09:31:42+00:00

Path-Based Routing with Application Load Balancer (AWS ALB): Efficiently Directing Traffic Based on URL Paths

2024-08-11T13:05:16+00:00

An Application Load Balancer enables you to set up a listener with rules that direct incoming requests to target groups based on the URL. This capability is unique to Application Load Balancers and is not offered by other load balancer types like Classic Load Balancer, Network Load Balancer, and Gateway Load Balancer. The path pattern rules only apply to the path of the URL and do not consider the URL's query parameters. Path-based routing allows you to host multiple microservices behind a single ALB, directing traffic to the appropriate service based on the requested path. Important Purposes of Path-based Routing [...]

Path-Based Routing with Application Load Balancer (AWS ALB): Efficiently Directing Traffic Based on URL Paths2024-08-11T13:05:16+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

Amazon Redshift Serverless

2024-07-19T00:24:57+00:00

Bookmarks Use Cases Features Components Monitoring Security Pricing Amazon Redshift Serverless Cheat Sheet Amazon Redshift Serverless allows users to run and scale analytics without managing the underlying data warehouse infrastructure. It dynamically adjusts compute capacity to handle fluctuating query loads, delivering high performance and efficiency for analytical workloads. Amazon Redshift Serverless Use Cases Ideal for workloads with unpredictable usage patterns, where traditional data warehousing solutions may need to be more cost-effective and practical. Supports integration with BI tools like Tableau and Amazon QuickSight for real-time and historical data analysis. Seamlessly integrates [...]

Amazon Redshift Serverless2024-07-19T00:24:57+00:00

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