Zot
project-zot
zot - A scale-out production-ready vendor-neutral OCI-native container image/artifact registry (purely based on OCI Distribution Specification)
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2.4KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
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123KGitHub
18.6KGitHub
Docker Mailserver
docker-mailserver
Production-ready fullstack but simple mail server (SMTP, IMAP, LDAP, Antispam, Antivirus, etc.) running inside a container.
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18.4KGitHub
Sealos
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…
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18KGitHub
Kops
kubernetes
Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
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16.6KGitHub
14.6KGitHub
Garden
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…
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3.6KGitHub
Hyperdx
hyperdxio
Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by ClickHouse and OpenTelemetry.
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9.6KGitHub
DevOps Guide
Tikam02
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
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9.3KGitHub
Postgres Operator
CrunchyData
Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.
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4.4KGitHub
Logfire
pydantic
AI observability platform for production LLM and agent systems.
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4.3KGitHub
Hetzner K3s
vitobotta
The easiest and fastest way to create production-ready Kubernetes clusters on Hetzner Cloud
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3.6KGitHub
Mlrun
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…
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1.7KGitHub
AI Infra Engineer Learning
ai-infra-curriculum
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
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1.6KGitHub
Kubeai
kubeai-project
AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.
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1.2KGitHub
External platform skills
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