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Original writing from gogoai.dev on SRE, AIOps, Platform, DevOps, and Cloud Ops.

The 2026 Agentic Ops Buyer's Guide: Four Vendor Categories, Ten Guidelines, and One Very Optimistic ROI Model
An AWS Community Hero published a 15-page buyer's guide to AI-agent operations. We read it so you can skim it, then argue with the ROI table.
Toshal Khawale·28d ago
The Quiet Defeat of Vector Databases: How Knowledge Graphs Became the Backbone of Enterprise AI
Why teams running real enterprise AI workloads are quietly migrating from vector databases to knowledge graphs — and what it means for cost, latency, and model size.
gogoai.dev Editorial·Jul 10
The Future Economics of Enterprise AI Deployment
Frontier API access is a structurally expensive, strategically fragile bet at scale. The winning architecture minimizes tokens consumed per unit of business value.
gogoai.dev Editorial·Jul 10
How to serve LLMs in production: a guide to GPU memory, KV cache, and sizing
Weights, KV cache, and engine overhead all share VRAM. A practical guide to sizing a GPU for multi-user LLM serving — with the formula and worked examples.
gogoai.dev Editorial·Jul 10
Anatomy of an LLM request: prefill, decode, latency, and cost
Every LLM request splits into prefill (compute-bound, sets TTFT) and decode (memory-bound, sets TPOT). Understanding both is how you control latency and cost.
gogoai.dev Editorial·Jul 10
Building LLM applications: RAG, agents, tool calling, and reasoning
RAG, tool calling, and agents are the three building blocks. Default to the simplest architecture that works — a 5-step agent costs 5x and fails 5x more.
gogoai.dev Editorial·Jul 10
LLM serving cheat sheet: GPUs, models, vLLM flags, and cost levers
A single-page reference for serving LLMs in production: vocabulary, sizing formulas, GPU and model tables, essential vLLM flags, and cost levers ranked by impact.
gogoai.dev Editorial·Jul 10
Common mistakes when serving LLMs in production: a field guide
24 real production LLM mistakes — from deploying Ollama for multi-user to unbounded conversation history — each with the fix. Read it before you ship.
gogoai.dev Editorial·Jul 10

The 2026 Agentic Ops Buyer's Guide: Four Vendor Categories, Ten Guidelines, and One Very Optimistic ROI Model

The Quiet Defeat of Vector Databases: How Knowledge Graphs Became the Backbone of Enterprise AI

The Future Economics of Enterprise AI Deployment

How to serve LLMs in production: a guide to GPU memory, KV cache, and sizing

Anatomy of an LLM request: prefill, decode, latency, and cost

Building LLM applications: RAG, agents, tool calling, and reasoning

LLM serving cheat sheet: GPUs, models, vLLM flags, and cost levers

Common mistakes when serving LLMs in production: a field guide