My simple web application. Deployment using containerization for DevOps learning purpose
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Updated
May 12, 2024 - Python
My simple web application. Deployment using containerization for DevOps learning purpose
TechTrends is an online website used as a news sharing platform, that enables consumers to access the latest news within the cloud-native ecosystem. In addition to accessing the available articles, readers are able to create new media articles and share them. In this project, package and deploy TechTrends to Kubernetes using a CI/CD pipeline.
deploying a secure django application using the ssl protocol
API for e-commerce with FastAPI as backend and PostgreSQL as database. Deployed on Azure with GitHub Actions implementing CI/CD pipelines (DevOps)
An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.
ML Prediction API using LDA and NN for EEG Data
Just a list of Singularity definition files maintained by the Biomed Applications Group
Containerized implementation of Cycle GAN for images and video generation
This is one of the project in Udacity Cloud DevOps Engineer Nanodegree.
Containerized: ElasticSearch + Kibana
A simple http://supervisord.org/ event listener to relay process stdout and stderr to supervisor's stdout.
Udacity Full-Stack Web Development Server Deployment, Containerization and Testing Project
Renderable container image.
ultra simple command line tool for docker-scaling batch processing
This project aims to orchestrate resource allocation in a Kubernetes cluster for a known set of containerized applications. The project utilizes infrastructure monitoring to allocate resources such that interference between applications is minimized.
This repo contains all of my current template files for docker configurations.
A day to day basis learning activities for container tech
Python backend powered by FastAPI and MongoDB for seamless course info management. Rigorously tested with Pytest, and Containerized for effortless deployment across systems.
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