Understanding how any environment will hold up under load is crucial. Whether it's an eCommerce site, a public-facing application, or internal workloads, you want to ensure that "whatever you throw
There's one major topic that every organization is talking about right now when it comes to Agentic workloads:
1. How am I going to track cost?
Tracking cost comes down to
Everything Agent, Model, and MCP Server related right now is spread across countless packages, libraries, providers, and you realistically have no way of knowing if any of it is secure, stable, or production
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.
AI started out as a cool chatbot that you could ask questions to and get responses in real-time, like an enhanced search engine. Fast forwarding a few years and it's changed
