
火山引擎如何接入API:从入门到实践的技术指南
pip install boto3
在 ~/.aws/credentials
中设置访问凭证:
[default]
aws_access_key_id = YOUR_KEY_ID
aws_secret_access_key = YOUR_SECRET
region = us-west-2
import boto3
ec2 = boto3.client('ec2')
resp = ec2.describe_instances()
for r in resp['Reservations']:
for i in r['Instances']:
print(i['InstanceId'], i['State']['Name'], i['InstanceType'])
resp = ec2.run_instances(
ImageId='ami-0abcdef1234567890',
InstanceType='t3.micro',
MinCount=3, MaxCount=5, # 批量
KeyName='my-keypair'
)
ids = [inst['InstanceId'] for inst in resp['Instances']]
print("Created:", ids)
# 启动
ec2.start_instances(InstanceIds=ids)
# 停止
ec2.stop_instances(InstanceIds=ids)
# 重启
ec2.reboot_instances(InstanceIds=ids)
# 终止
ec2.terminate_instances(InstanceIds=ids)
了解签名过程,帮助排查底层问题:
curl "https://ec2.amazonaws.com/?Action=DescribeInstances&Version=2016-11-15
&X-Amz-Algorithm=AWS4-HMAC-SHA256
&X-Amz-Credential=YOUR_KEY/20250715/us-west-2/ec2/aws4_request
&X-Amz-Date=20250715T120000Z
&X-Amz-SignedHeaders=host
&X-Amz-Signature=..."
ec2.monitor_instances(InstanceIds=ids)
ec2.unmonitor_instances(InstanceIds=ids)
配合 CloudWatch 收集每分钟指标,快速响应。
provider "aws" { region = "us-west-2" }
resource "aws_instance" "app" {
ami = "ami-0abcdef1234567890"
instance_type = "t3.micro"
count = 3
}
terraform apply
一键应用,terraform destroy
一键清理。
name: Deploy EC2
on: [push]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Terraform Apply
uses: hashicorp/terraform-github-actions@v1
with:
tf_actions_working_dir: ./infra
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET }}
问题 | 解决方案 |
---|---|
API 调用限流 | 使用批量接口、加大调用间隔 |
并发启动实例失败 | 控制并发度、捕获异常重试 |
证书验证或签名错误 | 检查系统时间、使用官方 SDK |
多区域管理复杂 | 使用 boto3.session.Session(region_name) |
本文全面覆盖了 AWS EC2 API 的多种调用方式与自动化管理实战:
立即动手,用 EC2 API 自动化实例管理,大幅提升云运维效率与可靠性!