2.1 KiB
author, created
| author | created |
|---|---|
| shenwei | 2025-03-02 |
Summary:
Today, there were several main tasks. First, I read some articles on LinkedIn about Agentic AI and AI agents, and I have already recorded them in Obsidian. I plan to write an article on the application of Agentic AI in Cloud DevOps and submit it later.
- 𝗔𝗜 𝗶𝘀 𝗘𝗻𝘁𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗴𝗲 𝗼𝗳 𝗔𝗴𝗲𝗻𝗰𝘆 – 𝗠𝗼𝘃𝗶𝗻𝗴 𝗕𝗲𝘆𝗼𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 1
- 7 Critical Steps to Building a Robust Agentic AI System from Scratch
- Designing for Agentic AI
Additionally, I watched a video on YouTube from a content creator, which was about how to design the entire workflow of Agentic AI using the software n8n.io. The video was very interesting, and I also followed the creator. I plan to install n8n on my local machine using Docker. The project has a related GitHub link, which is provided below. https://www.youtube.com/@DavidOndrej
Build Everything with AI Agents: Here's How
Finally, when I have time, I want to think about how to utilize AI agents in DevOps scenarios. Some initial ideas I have are:
- ==Use data from Grafana to feed into an Agent’s Vector DB so the AI can consume the data and help us make decisions. This is just an initial idea, and specific implementation would need to be demonstrated through a demo.==
- Use the alerting mechanism to handle incidents in real time, such as immediate notifications and direct incident creation.
- LinkedIn Articles: Read articles on Agentic AI and AI agents, planning to write and submit an article about Agentic AI in Cloud DevOps.
- YouTube Video: Watched a video on designing Agentic AI workflows with n8n.io, planning to install n8n.io using Docker locally.
- Future Plans:
- Grafana & Agentic AI: Consider using Grafana data to feed into an AI agent’s Vector DB for decision-making.
- Incident Management: Explore using the alerting mechanism to handle incidents, including immediate notifications and automatic incident creation.