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dynamodb

Local first, AI-powered data analytic workspace.

AWS Workshop: 000133 Lambdawritereadlistdynamodb

This exercise guides you through creating a web shop application using Node.js (Express) and Amazon DynamoDB as the underlying database. You will create a DynamoDB table, configure the application with your AWS credentials, and implement the necessary code to retrieve and filter products stored in the database.

Java service responsible for processing requests to update helene data stored in helene AWS Dynamo DB.

AWS cloud engineering project: Comprehensive demonstration of DynamoDB expertise, showcasing advanced database design, optimization strategies, and cloud-native application development.

Repo for the database access management and operations of the data-mining microservice app.

This is a project from a YouTube tutorial. I used it for reference. MongoDB, MySQL, Redis, DynamoDB, Firestore, etc

Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet.  

Major cloud providers:

Amazon Web Services (AWS): The largest and most comprehensive cloud provider, offering a wide range of services from compute and storage to machine learning and analytics. Google Cloud Platform (GCP): Known for its focus on data analytics, machine learning, and artificial intelligence, GCP is a popular choice for businesses that need powerful tools for data-driven insights. Microsoft Azure: A strong competitor to AWS, Azure offers a wide range of services and is particularly well-suited for businesses that already use Microsoft products. Examples of cloud computing services:

Compute: Virtual machines, serverless computing, containers Storage: Object storage, block storage, file storage Databases: Relational databases, NoSQL databases, data warehousing Networking: Virtual private clouds, load balancing, content delivery networks Machine learning: Training and deployment of machine learning models Analytics: Big data processing, data warehousing, business intelligence By using cloud computing, businesses can scale their resources up or down as needed, reduce costs, and improve flexibility.

This exercise guides you through creating a web shop application using Spring Boot and Amazon DynamoDB as the underlying database. You will create a DynamoDB table, configure the application with your AWS credentials, and implement the necessary code to retrieve and filter products stored in the database.

AWS introduction by examples

This project contains Infrastructure As Code (IAC) scripts for creating resources in the cloud with tagging. The scripts, in Terraform and CloudFormation, demonstrate best practices for creating tags for cloud computing resources.

A java-springboot implementation of the Treylle backend application.

Terraform IaC code for Treylle Infrastructure

Use AWS Lambda written in Java to store file information into a DynamoDB

A simple interface for caching items in DynamoDB

Prototype project. Written in Java with Spring Webflux and Spring Cloud Stream.

a repo for my personal website ^.^