Projects with this topic
-
Service backed by Google Geocoding, National Weather Service API, AWS Lambda with Python 3.9, AWS SMS, and AWS SNS. Queries the National Weather Service using coordinates from Google Geocoding for an address. Sends out text notifications when the weather conditions are or will be one of configurable conditions.
Updated -
A Terraform module to create and manage a Lambda function that can be invoked with a function URL. Sample Lambda function that can be used with the URL is included.
Updated -
Serverless MCP Architecture with S3, Lambdas, CloudFront OAC, and AWS WAF
Updated -
Cloud-native intelligent document processing pipeline using AWS serverless services, OCR workflows, and event-driven automation for structured document extraction.
Updated -
Cooking up some random lambdas. Will update description and README as I go.
Updated -
The project is a minimal sample of .NET API performing CRUD operations on a DynamoDB, it is also a small example of integrating AWS services where a Lambda function is listening on SQS, the Lambda will modify a DynamoDB when a message ends up in the Queue. Also the infrastructure is set up by AWS CDK a powerful Infrastructure as Code tool.
Updated -
A conversational AI chatbot built using Next.js and Node.js with text + voice chat, GitLab CI/CD, SAST security, issues, labels, milestones, and merge request workflow.
Updated -
My reusable templates. I hate writing code twice
😝 shell Bash bash-script bash script bashrc bash-scripting Bash Scripting bash scripts #bash shell script shell-script shellscript makefile make template templates template-pro... template-rep... GitLab gitlab-ci GitLab CI/CD GitLab CI Gitlab CICD gitlabci TypeScript JavaScript (... Amazon Web S... AWS Lambda aws-lambda awscli AWS S3 aws-cli AWS SAM AWS CLI aws-sam Amazon AWS #AWS terminalUpdated -
This module automates the build and deployment of AWS Lambda functions with a security-first approach. It generates signed ZIP artifacts, SBOMs, vulnerability reports, and integrity hashes to ensure that Lambda code is verifiable and tamper-resistant. The module is designed to be reusable and flexible by accepting an external IAM execution role and customizable Lambda source directories.
Updated -
This module automates the secure build and deployment of AWS Lambda functions. It produces deterministic ZIPs, SBOMs, vulnerability reports, integrity hashes, and cryptographic signatures, ensuring code is verifiable and tamper-resistant. It is reusable and flexible, accepting external IAM roles and customizable Lambda source directories.
Updated -
Minimal code for a AWS Lambda function written in Rust
Updated -
-
Generate SOCI Indices asynchronously with AWS Lambda
Updated -
IDS721 Spring 2025 course, second project
Updated -
Set up GitLab CI/CD for deploying serverless applications
Updated -
This is the integration of two APIs created on the local server. Here is a work by ASK: my Alexa skill, which will get a request from someone’s voice and send it to GPT3 API, after resending it back, preparing, and saying it to the user. The project is under development.
contact: sashapetrovskyidev@gmail.com
UpdatedUpdated -
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.
Updated -
Interaction with an Amazon Bedrock model through a secured API Gateway and Lambda function. The API Gateway is secured using a Lambda Authorizer.
Updated