These sessions will help you implement real world devops projects and act as a focul point of reference.
Horizontal Pod Autoscaler (HPA) project on Kubernetes using NVIDIA Triton Inference Server with an AI model
Kubernetes with kubespray in Centos 7 using HAPROXY to loadbalancer Kubernetes_API,http and http traffic ports using Traefik ingress.
Tony Soprano AI: A conversational agent built by fine-tuning Microsoft Phi-3 via LoRA. Features a FastAPI backend, GKE cloud deployment with auto-scaling (HPA), and full-stack observability using Prometheus and Grafana for production-grade ML.
Kaas - cloud-computing-kubernetes-final-project AUT 2024 Spring
This service is designed to centralize and streamline communication between an agent in reinforcement learning and services on Kind Kubernetes, thereby preventing circular dependencies in software architecture, and making maintenance easier.
Efficient Scaling in Kubernetes with HPA + VPA
Prometheus exporter for Trino worker output buffer metrics — enables safe HPA scale-down by tracking in-flight query result pages per worker.
Bu repo, Predictive Horizontal Pod Autoscaler (PHPA) ve standart Horizontal Pod Autoscaler (HPA) arasındaki farkları analiz eder ve kıyaslar. PHPA'nın proaktif ölçeklendirme yetenekleri ile HPA'nın reaktif yaklaşımını karşılaştırarak, her iki yöntemin avantajlarını ve dezavantajlarını ele alır.
A development of a kubernetes as a service.
Study notes about DevOps - AWS, Kubernetes, Terraform, Kafka, Ansible, Istio, Prometheus, Elastic Stack
A simple KEDA tutorial. Using Killercoda platform for more convenience. The repository is open and under GNU licence, all well documented suggestions and improvements, are very welcome. :)
Windows and Linux executable that automatically downloads IHC histopathology images from a Human Protein Atlas cancer page, organizes them by gene/antibody/cancer subtype, and generates CSV summaries.
Simple Python FastAPI app with PostgreSQL, orchestrated with Kubernetes
AWS EKS + ArgoCD + Github Actions + Hugging face + AWS Lambda The School of AI EMLO-V4 course Capstone Assignment - https://theschoolof.ai/#programs
The main repository for Reinforcement Learning (RL)-based Adaptive Horizontal Autoscaler (AHPA). This repository is Python-based and leverages PyTorch to implement Deep Q-Networks (DQN). It includes an agent and its learning procedure, with an ADAM optimizer set as the default.
A simple flask app, converts HEX color representation to RGB
Horizontal Pod Autoscaler demo using custom metrics and load simulation.
Add a description, image, and links to the hpa topic page so that developers can more easily learn about it.
To associate your repository with the hpa topic, visit your repo's landing page and select "manage topics."