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Automating File Uploads from Slack to Amazon S3: Harnessing AWS Lambda and Slack API
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Automating File Uploads from Slack to Amazon S3: Harnessing AWS Lambda and Slack API

Nestor Mayagma Jr.2025-01-17T10:06:01+00:00

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 scalable manner, ensuring they are easily accessible for future reference. Leveraging AWS Lambda and the Slack API, this solution minimizes the risk of data loss and removes the need for manual file management, allowing your team to focus on more critical tasks. This article will guide you through the implementation steps [...]

Automating File Uploads from Slack to Amazon S3: Harnessing AWS Lambda and Slack APINestor Mayagma Jr.2025-01-17T10:06:01+00:00

Building a Private React Application Infrastructure with Terraform
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Building a Private React Application Infrastructure with Terraform

Kaye Alvarado2024-01-02T03:12:00+00:00

This is the first part of a series of blogs about the platform management of a React Application infrastructure using Terraform. In the early phases of a software development project, it is mandatory to have the application reviewed by security way before the Beta release to ensure that the app adheres to the standards of a secure web application and is able to protect the sensitive data it handles. Most of the time, DevOps Engineers are tasked to deploy the web application in a private domain to allow the initial load testing, penetration testing, and other security-related testing while keeping [...]

Building a Private React Application Infrastructure with TerraformKaye Alvarado2024-01-02T03:12:00+00:00

Amazon AI Fairness and Explainability with Amazon SageMaker Clarify
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Amazon AI Fairness and Explainability with Amazon SageMaker Clarify

John Patrick Laurel2023-12-02T01:24:03+00:00

Introduction In the rapidly evolving domain of machine learning, ensuring fairness and explainability in model predictions has become crucial. With Amazon SageMaker Clarify, these critical aspects are not just an afterthought but integral components of the model development and deployment process. This article delves into the world of SageMaker Clarify, offering a comprehensive guide to its capabilities and practical applications. We commence our journey with a high-level understanding of what SageMaker Clarify is and its importance in the day-to-day tasks of machine learning modeling. Our exploration is anchored in a hands-on example, utilizing a specially crafted dataset that simulates loan [...]

Amazon AI Fairness and Explainability with Amazon SageMaker ClarifyJohn Patrick Laurel2023-12-02T01:24:03+00:00

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