Grant Access to User-Specific Folders in an Amazon S3 Bucket

Posted on January 13, 2022 by Md Shahid Afridi P | Comments(1)

Every organization has an information storage platform where many employees will be accessing various files stored in the AWS S3 service in the organization’s account. Sometimes, your organization wants to limit access to the S3 buckets from a particular IAM user. It can be done by adding a custom policy on IAM users without changing any bucket-level policies.

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Insights into AWS SageMaker Studio And Its popular features

Posted on January 13, 2022 by Sai Pratheek | Comments(3)

Artificial Intelligence (AI) and Machine Learning (ML) are two of the most popular technological terms in the twenty-first century. Although researchers first utilized them, many large corporations are now employing them to solve their business problems efficiently. Implementing machine learning models required a lot of physical computing resources with a lot of configurations before cloud computing, but now cloud providers like AWS, Azure, and Google Cloud Platform supply a lot of virtual resources for ML modeling.

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Amazon Pinpoint: Quick Guide for Beginners

Posted on January 3, 2022 by Daneshwari Mathapati | Comments(4)

In today’s competitive business environment keeping in constant contact with customers has become crucial in the digital space. Amazon Pinpoint helps businesses do exactly that. Amazon Pinpoint is a scalable and flexible inbound and outbound marketing communications service that ensures better customer experience and engagement. This blog post is a quick guide helping beginners to understand Amazon Pinpoint with precision.

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A Tutorial on Building a Deployment Pipeline with Custom Jenkins Image

Posted on December 28, 2021 by Ashutosh Gautam | Comments(0)

The Software Development Life Cycle (SDLC) historically involved the manual process of building, deploying, and testing software that was prone to human errors. A Deployment Pipeline with Custom Jenkins Image helps to automate this process and eliminates human errors from SDLC. This blog post provides a simple tutorial on how to build a deployment pipeline with a custom jenkins image.

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Introduction to Amazon DevOps Guru and Proof of Concept

Posted on December 22, 2021 by Saurabh Jain | Comments(0)

With digitalization and the cloud taking over the development and deployment of new features in software applications, error-handling is a crucial activity that helps in faster deployment. Any mistake in the chain from writing code, deploying to monitoring performance can degrade customer experience, shoot the cost, or interrupt critical services immediately. Many systems have been created to maintain a chain or a pipeline to manage errors, only to fall prey to the limitations of these tools and systems. Most IT teams manually sift through terabytes of data to identify the issue; this is time-consuming and frequently delays rectification, resulting in companies spending valuable resources.

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