janakiramm/app-mesh-tutorial

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Created almost 6 years ago
Updated almost 6 years ago

janakiramm/app-mesh-tutorial

janakiramm

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Deploy a Canary Release in Amazon EKS with AWS App Mesh

kubernetes-101

Tutorial to build and deploy a simple Python app in Kubernetes

do-k8s

Scripts to deploy Kubernetes in DigitalOcean

Kubernetes-multi-container-pod

Kubernetes-dev-env

Scripts for the Kubernetes Dev Environment Tutorial

gRPC-Tutorial

Scripts and code for the tutorial published at The New Stack

wp-statefulset

azureml-tutorial

Jupyter Notebook

todo-app

Dockerized Node.js & MongoDB app

aiot

A combination of AI and IoT workload running at the edge powered by K3s, Calico, and Portworx

Jupyter Notebook

minikube-demo

Setting up and configuring single node Kubernetes cluster with Minikube

docker-node-red

Run multiple instances of Node-Red in a single Docker container

rag-bedrock-titan

Implementing RAG with Amazon Bedrock, Amazon Titan, and Amazon OpenSearch Serverless

Jupyter Notebook

exploring_genai

Code repo for Exploring Generative AI Learning Path hosted by Vultr

Jupyter Notebook

k8s-api-tutorial

Simple Walkthrough of Kubernetes API

gg-smartcam

aci-bench

Benchmarking the startup time of local Docker, Azure Container Instance, and Azure VM

techtalk

Demos from TechTalk Webinars

serverless_inference

Hosting PyTorch models in AWS Lambda backed by Amazon EFS

wio-prometheus

kubeflow-notebook-tutorial

Assets for the tutorial series on Kubeflow

Jupyter Notebook

hellowhale

Docker Demo App

Salary

pubnub-mqtt-azure

Code for the tutorial on integrating Azure ML with PubNub MQTT Bridge

simpleapp

ML-is-not-magic

Assets used in Machine Learning is Not Magic Tutorial

px-demo

docker-vagrant

Vagrant Box based on Ubuntu 14.04 and Experimental Docker Engine

cddemo

digits-tutorial

Assets for the NVIDIA DIGITS Tutorial

px-arc

mi2-demo

fashionmnist

dogs-vs-cats

Jupyter Notebook

rag-agent

Jupyter Notebook

federated-llm

Jupyter Notebook

Intel-Xeon-LLM-RAG-Inference-Setup

This repository provides a comprehensive guide to setting up and running a LLM inference server optimized for Intel Xeon machines, with a focus on Retrieval Augmented Generation (RAG). The repository includes step-by-step instructions for configuring a Docker-based server environment and a Python client setup.

Jupyter Notebook

acorn-gitops-demo