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Deployment Guide

Multiple options for deploying your Strands agents to production.

Quick Decision Matrix

Option	Best For	Setup Time	Cost	Complexity
Local	Development, testing	0 min	Free	⭐
AgentCore Runtime	AWS-hosted production	10 min	Pay-per-use	⭐⭐

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Memory and Sessions in AgentCore - Complete Guide

1. How Memories Are Added BY the Agent

The Memory Flow:

User Request → Agent Processing → Tool Calls → Agent Response → Memory Hook Saves

Step-by-Step Example:

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"""
In this example you get a Bedrock API key from Amazon Bedrock and load it.
It will look like: AWS_BEARER_TOKEN_BEDROCK=bedrock-api-key-.........
"""
import os
import boto3

from dotenv import load_dotenv

from pprint import pprint

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Configure the MCP server:

I have no idea why this was so complicated to figure out and to find info on.

https://docs.anthropic.com/en/docs/claude-code/mcp

For personal use across all projects (recommended)

claude mcp add youtube-api --scope user \

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Strands Agent Class Reference Guide

Overview

The Agent class is the core component of the Strands Agent SDK that orchestrates the workflow for AI agents. It handles receiving user input, processing it with a language model, deciding when to use tools, executing those tools, and producing responses.

Initialization Parameters

When creating a new Agent instance, you can configure it with these parameters:

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import threading
import time
import uvicorn
import streamlit as st
from fastapi import FastAPI

# Create FastAPI app
app = FastAPI()

@app.get("/api/data")

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#!/usr/bin/env python3
"""
AWS Credentials Sync Tool
Extracts your current AWS credentials and creates/updates .env file
"""

import boto3
import os
import json
from datetime import datetime, timezone

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How to setup MCP with UV

This is a a pratical example of how to setup MCP with UV in Python

1. Create dir and cd into it
2. uv init hello-world --python 3.12.9
3. source ./venv/bin/activate
4. uv add "mcp[cli]"
5. uv run mcp dev main.py
6. Or npx @modelcontextprotocol/inspector uv --directory ./ "run" "main.py"

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Jupyter Notebook Shortcuts you need to know

These shortcuts will save you time and be more efficient.

NOTE: Before using this commands you must esc first.

• Use a to inserts a cell above the current cell.
• Use b to inserts a new cell below.
• Use m to change the current cell to a markdown cell
• Use y to change it back to a code cell

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How to Install Apache JMeter on an EC2 Instance and Perform Load Testing

Apache JMeter is an open-source tool designed for performance testing and load testing. It is often used for simulating real-world traffic on web servers, applications, and APIs. In this blog, we'll guide you through installing JMeter on an AWS EC2 instance and using it to perform a simple load test.

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Step 1: Launch an EC2 Instance

1. Log in to your AWS Console.
2. Navigate to the EC2 Dashboard and click Launch Instance.