AWS

Rahul Mehta
Neptune Jupyter Commands

Working with AWS Neptune Graph Databases

August 28, 2020 by

This article provides a step by step explanation of how to work with AWS Neptune Graph database. We will understand the basic concept and use-case of graph databases and then create a graph database instance as well as access it with Jupyter notebooks.

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Aveek Das
Deploying the serverless application

Deploy serverless applications using the AWS SAM CLI

August 18, 2020 by

In this article, we are going to learn to deploy serverless applications to the AWS Cloud using the AWS SAM CLI. This article is a part of the three-article series “Develop and Deploy Serverless Applications with AWS SAM CLI”. If you have some idea about how to develop and test your serverless applications locally using the AWS SAM CLI, then you might proceed with this article. However, if you want to learn more about developing and running your code locally, I would strongly recommend reading the previous articles of this series, Getting started with the AWS SAM CLI and Set up a local serverless environment using the AWS SAM CLI, which explains in detail the various configurations required to start and run the serverless functions on your local.

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Aveek Das
Opening serverless app in VS Code

Set up a local serverless environment using the AWS SAM CLI

August 18, 2020 by

In this article, we are going to work on setting up your local development environment for creating serverless applications using the AWS SAM CLI. This article is a part of the three-article series “Develop and Deploy Serverless Applications with AWS SAM CLI”. If you already know about the working principle of the AWS SAM CLI, you may proceed with this; otherwise, I would highly recommend reading my previous article on the series, Getting started with the AWS SAM CLI, where I talk about the introduction to the AWS Serverless Application Model and its workflow.

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Aveek Das
AWS SAM Workflow

Getting started with the AWS SAM CLI

August 17, 2020 by

In this article, we will learn the concept of the AWS SAM CLI. This is a part of the three-article series “Develop and Deploy Serverless Applications with AWS SAM CLI”. SAM, abbreviated for Serverless Application Model is a framework provided by Amazon Web Services, which can be leveraged to build applications on the local machine and deploy those to the AWS Lambdas directly.

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Aveek Das
AWS S3 Home Screen

Getting started with Amazon S3 and Python

July 31, 2020 by

In this article, I am going to explain what Amazon S3 is and how to connect to it using python. This article will be focused on beginners who are trying to get their hands on in python and working around the AWS ecosystem. AWS, as you might know, is one of the largest cloud providers along with Microsoft Azure and Google Cloud Platform. There are a lot of services offered by Amazon including AWS S3. Amazon S3, also abbreviated as Amazon Simple Storage Service is a storage service offered by the cloud provider that enables the users to store any kind of files in this service. It is designed to make web-scale computing easier for developers.

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Aveek Das
Sample Analysis - Sales Pipeline

Getting started with Amazon QuickSight

June 18, 2020 by

In this article, I am going to introduce Amazon QuickSight and how to visualize data using it. Amazon QuickSight is a data visualization tool offered by Amazon hosted on AWS and is available across multiple locations. As per the statement provided on the official website it says: “Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization.” Using QuickSight, users can create different analyses and then integrate those in a dashboard and share them with people within the organization.

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Aveek Das
Child Function Executed

Calling an AWS Lambda function from another Lambda function

June 9, 2020 by

In this article, I am going to explain how to create an AWS Lambda function and then call this function from another Lambda function within the same region. This is a useful scenario in which we may need to execute a second lambda function based on the outcome of some previous logic. Another scenario may be to execute a second lambda function several times by using different parameters.

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Aveek Das
AWS Explorer

Getting started with AWS Toolkit for Visual Studio Code

June 8, 2020 by

In this article, I am going to explain how to start using the AWS Toolkit for Visual Studio Code to develop serverless functions locally. Serverless applications or functions gives us the ability to develop, test and execute code in the cloud without having to worry about the underlying infrastructure. These applications are scalable which means we can easily increase or decrease the resources consumed by them. AWS Toolkit for Visual Studio Code is an extension available for Visual Studio Code using which we can directly communicate with the resources on Amazon within the code editor.

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