Building Your Production-Grade SRE Agent
AI is only as good as the information you provide it. Aside from the general hallucinations and wild outcomes we sometimes see from LLMs, the general gist of an Agent not performing as
kagent
Human Presence in Agentic Workflows
Where does a person come into an AI workflow today? Is it during code creation? PRs? Quantifying business output? This is the question that every organization using AI is trying to figure out
Build AI Agents on Kubernetes: Kagent + Amazon Bedrock Setup Guide
Managing various LLM provider accounts, subscriptions, and cost can get cumbersome for many organizations in a world where multiple LLMs are used. To avoid this, you can use what can be called a
Context-Aware Networking & Runtimes: Agentic End-To-End
AI network traffic can very much feel like a black box. You open an AI provider console or an Agent, ask a question or perform a task, and then what happens? Where does
Deploying Local AI Agents In Kubernetes
There are two types of Models/LLMs you see in today's Agentic world:
1. "SaaS-based Models", which are Models that are managed for you (Claude, Gemini, GPT, etc.)
2.