Discover Top Posts Tagged with #boto3

Python program to download files recursively from AWS S3 bucket to Databricks DBFS

S3 is a popular object storage service from Amazon Web Services. It is a common requirement to download files from the S3 bucket to Azure Databricks. You can mount object storage to the Databricks workspace, but in this example, I am showing how to recursively download and sync the files from a folder within an AWS S3 bucket to DBFS. This program will overwrite the files that already exist. The…

#boto3 #python program to download files from Aws s3 bucket to databricks dbfs #python program to recursively download files and folders from an AWS S3 bucket in Azure Databricks

AWS Identity and Access Management (IAM) is a crucial part of managing access to your AWS resources. In this blog post, we’ll explore how…

#Iam Policy #AWS #Lambda #Python #Boto3

Ensuring robust security is a paramount concern in cloud computing, and AWS offers powerful tools for managing and controlling access to resources. In this blog post, we will delve into a Python script designed to identify AWS security groups that permit all traffic within a specified region. By identifying and addressing such security configurations, you can bolster the overall security posture of your AWS infrastructure

#AWS #Securitygroup #Lambda #Python #Boto3

Set of tools I recommend to learn and experiment with AWS Cloud using APIs.

I recommend those tools to learn and experiment with AWS Cloud using APIs.

Jupyter Lab is an interactive python environment that allows to invoke boto3 API calls and check the output of every single call.

Drawio helps to create diagrams to take notes as you are learning.

Official AWS documentation - no matter if you are just starting with Amazon Web Services or you are an experienced professional.

Boto3 has great documentation with code samples and a list of all available APIs.

You can find links to all of them on my blog: https://www.thingrex.com/resources/

#aws #cloud #python #boto3

CRUD Operations Using AWS DynamoDB with Flask APIs and Boto3

Introduction

In this tutorial, we will build a demo application together; learn about the Flask framework, Boto3 library, REST APIs, and AWS DynamoDB. If you are new at using AWS DynamoDB with Flask APIs and Boto3, don’t worry! We are here to help you learn through this tutorial.

Goal: Using AWS DynamoDB with Flask APIs and Boto3

Before knowing how to implement CRUD operations on DynamoDB using Flask APIs, let’s see the video and know what we will build.

Prerequisites

We assume that you have prior knowledge of the following:

Python3 Programming

pip

Flask

AWS and IAM

To get started with this tutorial, make sure you have the following as well:

DynamoDB local

Python

IDE

Technologies to use

We will be using the following technologies:

Flask

Boto3

DynamoDB

Let’s start the implementation of AWS DynamoDB with Flask APIs and Boto3. Here’s my system setup:

Ubuntu 20.04 OS

Python 3.8+

Postman

Installing Flask and Boto3 using pip

Install the packages to build REST APIs

Flask

Boto3

Read more for CRUD Operations Using AWS DynamoDB with Flask APIs and Boto3

#CRUD #AWS #Flask #Boto3 #DynamoDB #API #Prerequisites #Technologies #technology #remotework

DAGOBAH - Generate Internal Threat Intelligence & Compliance Data

DAGOBAH - Generate Internal Threat Intelligence, Inventory & Compliance Data From AWS Resources #amp #Analyzer #aws

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Dagobah is an open source tool written in python to automate the internal threat intelligence generation, inventory collection and compliance check from different AWS resources. Dagobah collects information and save the state into an elasticsearch index.

Dagobah runs into the a LAMBDA and looks at all the AWS REGIONS, actually collect differents configurations from:

EC2

VPC

ENI

S…

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How to stream data from a URL and write it to S3 ?

Recently I had to query a REST API that returns a data with size of around 4-5 GB. This result need to be uploads to AWS S3. But the challenge was to fit this function in AWS Lambda. AWS Lambda has a strict resource limit. So if the program consumes more than the limit, it will fail.