Site reliability engineering (SRE) is a set of principles and practices that incorporates aspects of software engineering and applies them to infrastructure and operations problems. The main goals are to create scalable and highly reliable software systems. Site reliability engineering is closely related to DevOps, a set of practices that combine software development and IT operations, and SRE has also been described as a specific implementation of DevOps.
DevOps Roadmap for 2026. with learning resources
Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
Open source AI terminal for cloud and infrastructure management, enabling you to deploy, troubleshoot, and automate services using natural language and intelligent agents.
A checklist of anyone practicing Site Reliability Engineering
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
A curated list of Site Reliability and Production Engineering Tools
Layerform helps engineers create reusable environment stacks using plain .tf files. Ideal for multiple "staging" environments.
DevOps/SRE community is for those folks who are trying to learn or explore DevOps with the help of experienced professionals. Opportunities are open to share.
China's 1st enterprise multi-agent IT ops platform. LLM-powered auto-remediation for Zabbix/Prometheus. Docker deploy.
𝖫𝗂𝗇𝗎𝗑, 𝖩𝖾𝗇𝗄𝗂𝗇𝗌, 𝖠𝖶𝖲, 𝖲𝖱𝖤, 𝖯𝗋𝗈𝗆𝖾𝗍𝗁𝖾𝗎𝗌, 𝖣𝗈𝖼𝗄𝖾𝗋, 𝖯𝗒𝗍𝗁𝗈𝗇, 𝖠𝗇𝗌𝗂𝖻𝗅𝖾, 𝖦𝗂𝗍, 𝖪𝗎𝖻𝖾𝗋𝗇𝖾𝗍𝖾𝗌, 𝖳𝖾𝗋𝗋𝖺𝖿𝗈𝗋𝗆, 𝖮𝗉𝖾𝗇𝖲𝗍𝖺𝖼𝗄, 𝖲𝖰𝖫, 𝖭𝗈𝖲𝖰𝖫, 𝖠𝗓𝗎𝗋𝖾, 𝖦𝖢𝖯, 𝖣𝖭𝖲, 𝖤𝗅𝖺𝗌𝗍𝗂𝖼, 𝖭𝖾𝗍𝗐𝗈𝗋𝗄, 𝖵𝗂𝗋𝗍𝗎𝖺𝗅𝗂𝗓𝖺𝗍𝗂𝗈𝗇. 𝖣𝖾𝗏𝖮𝗉𝗌 𝖨𝗇𝗍𝖾𝗋𝗏𝗂𝖾𝗐 𝖰𝗎𝖾𝗌𝗍𝗂𝗈𝗇𝗌
Open-source Infrastructure As Code that starts from what already runs. formae discovers your estate, versions drift and hands back current code. A Terraform and Pulumi alternative built on Pkl, with an MCP server for AI agents.
A curated list of Platform Engineering Tools
A curated list of awesome references collected since 2018.
(Chinese Only)Everything I know: DevOps & CloudNative, Linux, Embedded, Homelab, Music, Blockchain, AI, etc...
Open-source agentic ops platform for cloud, SRE, DevOps, support and FinOps teams. AI agents investigate incidents, cut cloud and Kubernetes waste and run approval-gated runbooks across Kubernetes, AWS, Azure, GCP and your databases. Self-hosted, bring your own models.
Linux Bash Shell Script and Python Script For Ops and Devops
Kubernetes Skill for Claude Code and Codex. LLMs hallucinate a lot with K8s - KubeShark fixes this. It eliminates hallucinations and grounds your Kubernetes, Helm etc official best practices.
Automatically capture and surface your team's tribal knowledge