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Sandeep Palavalasa's Projects

amazon-eks-jenkins-terraform icon amazon-eks-jenkins-terraform

These samples focus on Continuous Integration, and contain installation and configuration of Jenkins on Amazon EC2 using Hashicorp Terraform (Open Source)

amazon-eks-simplified icon amazon-eks-simplified

This repo is an opinionated take to simplify the EKS cluster operations using a gitops approach.

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

aws-eks-best-practices icon aws-eks-best-practices

A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.

circleci-ecs icon circleci-ecs

I was thinking of using CircleCI Orbs to deploy a simple Go Application to Amazon's Elastic Container Service for Kubernetes (Amazon EKS)

data-on-eks icon data-on-eks

DoEKS is a tool to build, deploy and scale Data Platforms on Amazon EKS

ec2-spot-interruption-dashboard icon ec2-spot-interruption-dashboard

This is a sample solution for logging EC2 Spot Instance Interruptions, storing them in CloudWatch and S3, and visualizing them with a CloudWatch Dashboard and Amazon Athena.

ec2-spot-labs icon ec2-spot-labs

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.

ec2-spot-workshops icon ec2-spot-workshops

Collection of workshops to demonstrate best practices in using Amazon EC2 Spot Instances. https://aws.amazon.com/ec2/spot/

ecs-blueprints icon ecs-blueprints

Configure and deploy complete ECS solutions with Terraform or CDK

gen-ai-on-eks icon gen-ai-on-eks

This repository aims to showcase how to finetune a FM model in Amazon EKS cluster using, JupyterHub to provision notebooks and craft both serving and training scripts, RayOperator to manage Ray Clusters and Karpenter to manage Node Scaling.

karpenter icon karpenter

Kubernetes Node Autoscaling: built for flexibility, performance, and scalability.

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