Seldon Core
SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
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Results: 19
SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
kubernetes
Production-Grade Container Scheduling and Management
kubernetes-sigs
Deploy a Production Ready Kubernetes Cluster
docker-mailserver
Production-ready fullstack but simple mail server (SMTP, IMAP, LDAP, Antispam, Antivirus, etc.) running inside a container.
labring
Sealos is an AI-native Cloud Operating System built on Kubernetes that unifies the entire application lifecycle, from development in cloud IDEs to production deployment…
kubernetes
Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
garden-io
Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workfl…
hyperdxio
Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by ClickHouse and OpenTelemetry.
Tikam02
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
CrunchyData
Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.
vitobotta
The easiest and fastest way to create production-ready Kubernetes clusters on Hetzner Cloud
frappe
Docker environment for developing, deploying, and running Frappe applications (ERPNext and custom apps) in production and development
project-zot
zot - A scale-out production-ready vendor-neutral OCI-native container image/artifact registry (purely based on OCI Distribution Specification)
antonbabenko
Terraform & OpenTofu Skill for AI Agents - testing, modules, CI/CD, and production patterns
mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI…
ai-infra-curriculum
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)