Goal: In this blob post, we will be diving into the world of Azure Development in C#. To get you used to using Azure’s C# but still keeping your in familiar territory, we will be implementing a quick program to Migrate blobs from one container to the another! The goal…
December 2022
Making .sh file in AWS CloudShell
What is AWS CloudShell? AWS CloudShell is an easy-to-use cloud computing service to deploy and manage your other cloud services inside of a CLI (Command Line Interface). It is an effective way to manage your AWS cloud applications and infrastructure in a large-scale environment. CloudShell helps to streamline the process…
Retrieving Tweets from Twitter using Azure Functions
Twitter has become a very important social media site for society and the data it holds i.e., tweets is of immense importance for both academics and professionals. There are open and paid twitter datasets available for researchers and professional for their use case. But more often one might need tweets…
Deploying pretrained machine learning model via AWS SageMaker
AWS SageMaker is Amazon’s cloud offering to create, train and deploy machine learning models at scale in the cloud. With SageMaker it also becomes easy to make these processes automated so that the developers can utilize. While training a machine learning, ML, model might be ideal to tailor it one’s…
Amazon Web Services – SageMaker
This is the post – 2 of the Machine Learning services – AWS vs Azure. This post contains hands-on on creating a workspace, importing data, testing and training the model in AWS. Steps to initialize notebook instance in SageMaker: Login to AWS Console using AWS Credentials. In the left panel,…
Scheduling Amazon Athena Query using AWS Lambda, EventBridge, and Boto3
How to schedule AWS Athena queries using Amazon EventBridge, AWS Lambda, and Boto3 by AWS Python SDK
Overview of Amazon Neptune
Amazon Neptune, it is a graph-based database service from Amazon. This system made it easy to build and run applications that work with highly connected datasets. The core of Neptune is a purpose-built, high-performance graph database engine. This engine is optimized for storing billions of relationships and querying the graph…
Serverless Mass Emailing with AWS Lambda
AWS Lambda is a robust event-driven platform for serverless use-cases, one of which may be mass emailing. We will walk through the creation of such a function on AWS. We want to facilitate this sequence of events: A user uploads a .csv file with email data to cloud storage (we’ll…
Amazon MQ
Amazon MQ is a managed message broker service that makes it easy to migrate to a message broker in the cloud. A message broker allows software applications and components to communicate using various programming languages, operating systems, and formal messaging protocols. Currently, Amazon MQ supports Apache ActiveMQ and RabbitMQ engine types. Creating and connecting to a…
Segregating files in AWS S3 Bucket using Lambda
Overview There are 5 steps to fulfil the exercise Create an S3 bucket. Create a Lambda function and add an s3 trigger to it. Update the S3 event notifications. Creating IAM roles to access and alter S3 bucket objects using lambda. Implement the logic to segregate files in the s3…