๐Ÿ“Š 2) OBSERVABILITY STACK (LOGS + METRICS + TRACING)

๐Ÿง  GOAL

See everything happening inside your system in real-time


๐Ÿงฉ STACK

  • Logs โ†’ Winston
  • Metrics โ†’ Prometheus
  • Dashboard โ†’ Grafana
  • Tracing โ†’ OpenTelemetry

๐Ÿชต LOGGING (WINSTON)

import winston from “winston”;export const logger = winston.createLogger({ level: “info”, transports: [ new winston.transports.Console(), new winston.transports.File({ filename: “app.log” }) ] });๐Ÿ“Š METRICS (PROMETHEUS)import client from “prom-client”;const httpRequestCounter = new client.Counter({ name: “http_requests_total”, help: “Total requests” });export function trackRequest() { httpRequestCounter.inc(); }๐Ÿ“ˆ GRAFANA DASHBOARDYou connect Grafana to Prometheus:revenue trends agent activity API latency errors๐Ÿ” TRACING (OPENTELEMETRY)import { NodeSDK } from “@opentelemetry/sdk-node”;const sdk = new NodeSDK(); sdk.start();Tracks:API calls agent workflows latency between services๐Ÿง  3) AI MEMORY SYSTEM (LONG-TERM + VECTOR MEMORY) ๐Ÿง  GOALGive your agents memory like a human:past conversations customer behavior market signals ๐Ÿงฉ MEMORY ARCHITECTURE Short-term โ†’ Redis Long-term โ†’ PostgreSQL Semantic โ†’ Vector DB ๐Ÿง  VECTOR DB OPTIONS Pinecone Weaviate PostgreSQL + pgvector (cheapest MVP) ๐Ÿ“ฆ VECTOR MEMORY MODELtype Memory = { id: string; userId: string; content: string; embedding: number[]; };

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